TRANSCRIPTEnglish

Class 1

3h 31m 28s17,224 words2,788 segmentsEnglish

FULL TRANSCRIPT

13:26

Hello everyone. A very good evening to

13:28

all.

13:31

>> Good evening.

13:33

>> Evening. Good evening everyone.

13:37

So [snorts]

13:38

I Sharma welcome you all.

13:52

It's hang

13:55

just a minute.

14:16

Uh, sorry. Am I audible to all of you

14:19

now?

14:20

There's some problems. Yes.

14:24

Okay.

14:33

Okay. So, uh, I welcome all of you PT

14:39

here. First

14:41

hi Gorav Sharma and uh from today

14:44

onwards I'll take your

14:47

uh all the four modules classes.

14:50

Okay. So what is the subject for today?

14:57

Have you received the

14:59

>> DB design?

15:02

>> Database design.

15:06

Yeah it's DDC. That's great.

15:11

So, okay, 44 participants are there. So,

15:15

all of you please start your lapkins.

15:18

So, it will be better for us so that we

15:22

can

15:24

make this session more interactive.

15:32

Okay, some of the students are from

15:33

previous class. Who's my mama? Are you

15:36

from the previous class? Are you done

15:38

new one?

15:47

Previous class. Great.

15:50

Okay. Some of the students I found from

15:53

the previous class

15:57

and some names are new for me.

16:03

Okay. So uh

16:07

I hope that the previous years or

16:11

previous semester students are having

16:13

some idea about the rules regulations.

16:16

Okay. But don't worry

16:19

I will start with scratch. Okay.

16:23

So uh as you know it's a database design

16:27

concepts class. Okay. And uh basically

16:30

it's a a class or subject designed

16:34

specially for backend design. Okay. So

16:38

as you know if we are developing

16:40

software so softwarees uh we can break

16:42

into two parts that is front end and

16:44

back end. Okay. So uh for the front end

16:49

design we are having number of uh

16:51

languages including these scripting

16:53

languages as well. Okay. Suppose you are

16:56

designing a website. Okay. So for

16:58

website you are having a number of

17:01

scripting languages for supporting uh

17:04

different type of task like if you want

17:06

to write some uh lemon structure so it's

17:10

for uh this purpose we are having the

17:13

HTML hypertext markup language to uh

17:17

designing for the you can say that for

17:20

simple structure or static structure we

17:23

we generally use HTML and if you want to

17:27

implement ment more uh design or

17:30

animations into that for for that

17:33

purpose we uh require uh JavaScripts and

17:37

uh CSS okay so a lot many things are

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there so in the same manner we are

17:43

having PHP also okay it's as a mediator

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between the front end back end okay but

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uh whatever visible to us in front of us

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uh is basically a front end design for

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that purpose we having number of

17:58

languages and scripted packages. Okay.

18:01

But uh a very important part is the back

18:04

end. So ultimately whatever we are doing

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whatever the uh communication we are

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performing information we are gathering

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displaying something on the screen for

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that purpose we require only one

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only one type of

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uh backend process that's called

18:24

database. Okay. So database is a common

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among all. Okay. So whether you are

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using Java or uh C, C++

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or other languages. Okay. So for front

18:39

end type of problems we are having

18:41

number of languages but at back end when

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we talk about that uh if you have to

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handle the databases so we are having

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DBMS. Okay. So although number of TBMS

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are there but uh the concepts are much

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are more same and common for all of

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these. Okay. So uh a big giant company

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like Oracle. Oracle is a very famous

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company which is in this field of

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backend design. Okay. Along with that uh

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some more companies like IBM DB2 is

19:17

there. Okay. and uh MSXS

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a small capable of designing a small DBM

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is also there. Okay. So hopefully you

19:28

have heard about that MSXS. Okay. So

19:31

although whether you are using the IBM

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DB2 or uh you are using the Oracle or

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MSXS mostly what happens that the

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concepts of DBMS remain same. Okay. So

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means we are having only one choice in

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case of back end. And in other words if

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I try to explain you the importance of

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DBMS. Okay. So uh you can think uh like

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any you can think about any type of

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software. Okay. So whatever the

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application based software you have

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think okay you have listened or you have

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heard about in every type of uh software

20:11

the one thing is common what actually we

20:15

are collecting the information we are

20:18

fetching the information or we are

20:20

maintaining the databases okay so it's

20:22

all about maintaining databases nothing

20:24

more than this okay so you can take an

20:26

example like I'm giving you some of the

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examples like library management total

20:30

management hospital management

20:31

uh payroll systems or uh some other type

20:35

of management systems. So ultimately

20:36

what you are doing train booking systems

20:38

or online uh e-commerce applications.

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Okay. So ultimately at the end what you

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are doing either you are collecting the

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information, you are processing the

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information, fetching the information or

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storing the uh databases more or less.

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So the one thing common among all is

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what the database. So uh whatever you

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are designing okay the one thing common

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is the very important part is DBMS. So

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that's why DBMS is very important. Okay.

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So whether you are uh try to u means uh

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work on the scripting languages or you

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are even you are learning the some

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advanced type of uh languages like if

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you are working on react okay if you are

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working on some net okay so in all of

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them ultimately at the back end you have

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to maintain the DBMS okay so for front

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end number of languages are there but at

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the back end we are having only one

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choice that is DBMS. So you can see uh

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like uh again if you can take the

21:46

example of any companies. So ultimately

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the one person the one post is required

21:54

for DBMS. Okay. So the number of persons

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not one person the number of person as a

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team required for maintaining the

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databases. Okay. So databases is very

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much important. So ultimately

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suppose we can take one example like

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suppose you are uh you have developed

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the ticket processing system okay ticket

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booking system [snorts] uh maybe you are

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working on uh booking uh bus tickets

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okay so what happens ultimately it is uh

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maintaining the database okay means you

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are working on the tables

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okay Abdullah Zubar but try to connect

22:38

as fast as possible.

22:41

Okay. Okay. Uh so again I'm taking one

22:45

example of ticket booking process.

22:47

Suppose you are booking the tickets

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online. So ultimately what happens you

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are updating the table or database.

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Okay. Suppose I'm taking one example.

22:56

Suppose you are booking tickets a bus

22:59

ticket. Okay. So you are having total 50

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tickets. Okay. So the total tickets are

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50. Out of that maybe 25 are already

23:10

occupied. Okay. And 25 are available.

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Suppose if you perform any task any

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process to book more four tickets. Okay.

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You have applied you have requested to

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book four tickets. So what happens? So

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what is this? Ultimately you are

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updating the table. Okay. So ticket

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booking process is what at the end you

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are just updating the table. It means

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you earlier what happens 25 are occupied

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25 are free after performing your

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operation now 29 becomes occupied and 21

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becomes free. Okay. So more or less

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ultimately what happens that it is uh it

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is all about uh updating the database.

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Okay. So uh so this is what one example.

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Okay. So uh you can take the example of

24:08

payroll systems. Have you heard about

24:09

the payroll systems? Anyone?

24:12

[snorts]

24:12

>> Yes.

24:12

>> Payroll management system. So what we do

24:14

in payroll management system? Anyone?

24:17

>> Yeah. What we do?

24:23

>> Manages the

24:25

employees and their mayaries.

24:33

Yeah. Yeah. Very good. So, uh in payroll

24:36

management system, we are uh having one

24:40

automatic uh system uh capable of

24:44

generating paylips. Okay. So, when we

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are generating the paylips, so it is not

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that much easy number of calculations

24:51

are there that how many number of days

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you have work for that month. Okay.

24:55

Okay. So based on the number of days

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multiplied by some per day salary along

25:00

with that some extra perks are there

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maybe some daring allowances or some

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taxes they have to deduct and some

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percentage of uh incentives they are

25:12

giving okay lot many things are there.

25:14

So at the end of the month uh based on

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your performance the this system is

25:20

calculating your salary. Okay. So number

25:23

of employees are there and for every

25:25

employee they have to calculate the

25:28

salary print the pay slips and hand over

25:32

people. Okay. So what is this ultimately

25:36

it is all about maintaining the

25:38

database. Okay. So database means every

25:41

employee suppose in your company in your

25:43

organization 50 employees are working

25:45

and you have developed the payroll

25:46

management system. So that payroll

25:48

management system what they are doing

25:50

they are actually responsible for

25:52

generating the pay slips but at the end

25:55

they are maintaining the salary and much

25:59

more things that will be uh divides

26:02

later on. Okay they are maintaining the

26:06

salary of each and every employee. Okay

26:09

in one table or number of tables. Okay.

26:12

So at the end what they are doing they

26:15

are maintaining the table or databases.

26:18

Okay getting this in this way you can

26:20

take the example of hotel management

26:23

system. So what happens in hotel

26:25

management system you are again booking

26:28

the uh uh the rooms. Okay free the room

26:32

booking the rooms. So uh you can take

26:34

the example of banking system also if

26:37

debit and credit going on. So ultimately

26:39

one a table is there. Okay, balance

26:42

table is there and uh you are performing

26:44

the debit and credit. Okay, so

26:46

ultimately they have to enter they have

26:49

to uh means enter all the activities you

26:53

have performed the banks in the form of

26:55

bank statement. Okay. And you can uh see

27:00

all your activities at the uh end of the

27:02

month in the form of bank statement.

27:04

Okay. So what is that bank statement?

27:05

Ultimately it's a database or a table uh

27:08

that bank is maintaining. Okay. So, uh

27:13

this is these are some example with the

27:15

help of which you can uh understand the

27:18

importance of uh that uh uh you can say

27:22

databases. Okay.

27:25

What doing this more work less clicks.

27:29

[snorts]

27:40

Okay.

27:42

So, uh now

27:45

uh let us uh discuss about uh uh the

27:48

syllabus or some of the rules,

27:51

regulations and important dates. Okay.

27:53

And bifurcation of your uh you can say

27:58

the entire subject. Okay. Just give me a

28:00

minute. I'm sharing one sheet with you.

28:43

Okay. [snorts]

28:44

So this is called the assessment brief

28:48

contains

28:49

a lot many important information.

28:53

Uh hopefully

28:55

you can uh later on

28:58

means all these informations are

29:00

available on your portal as well. But uh

29:04

uh let us discuss it. [snorts]

29:07

So we have entered into the semester of

29:10

session January 2026.

29:13

Okay. [snorts] This is a January 2026

29:17

semester. Okay. The name of our module

29:21

is database design concepts. Okay.

29:26

And uh you can see uh this not only this

29:29

subject but uh all the four subjects

29:32

which you are uh learning in this

29:35

semester

29:36

are uh having some bifurcation. Okay,

29:40

which is common among all the subjects

29:43

that is it is divided into two task.

29:46

Okay. So your semester is your every

29:48

subject is divided into two task that is

29:50

task one and task two. Okay. In task one

29:54

uh you have to submit one report. Okay.

29:58

So uh uh before that let me explain you

30:02

that your entire syllabus has been

30:04

divided into four allows okay learning

30:09

outcomes you can say. So let let me show

30:12

you the learning outcomes first.

30:16

So these are your learning outcomes

30:19

and these learning outcomes are uh just

30:22

like a uh units for you. Okay. So all

30:26

your subjects are divided into four

30:28

units. So like in the first units you

30:31

are going to understand databases and

30:34

data management systems. Okay. Means a

30:37

kind of introduction about the databases

30:39

and uh data management systems. And in

30:41

learning outcome two uh you will

30:44

understand the database design

30:46

techniques. Okay. And in learning

30:48

outcome three we'll be able to design,

30:51

create and uh document the databases.

30:53

And learning outcome four will be able

30:55

to maintain databases. Okay. So these

30:57

are the headings of that uh chapters you

31:00

can say.

31:02

Uh

31:04

uh is that not uh visible to all of you?

31:07

[snorts]

31:08

Is my screen is visible? Anybody?

31:11

>> Visible.

31:12

>> Visible.

31:13

>> Yes.

31:14

>> Visible. Okay.

31:17

So, uh maybe there is a problem at your

31:20

end.

31:22

Okay. Mohammad Darim.

31:25

Please check it. Okay. Because mostly

31:27

everyone is saying

31:31

that it is visible. Okay.

31:37

[snorts]

31:38

So,

31:40

so what we were discussing, I'm saying

31:42

that your uh the entire subject is

31:46

divided into the outcomes. Okay,

31:49

learning outcomes. And these learning

31:51

outcomes are just like the uh four

31:54

units, you can say units or four

31:55

chapters. Okay, and uh

32:00

let me just see the uh these

32:05

outcomes in details as well.

32:11

Okay. Okay. Mohamad Harim, that's great.

32:15

So

32:17

in the first uh

32:20

you can see that learning outcome one is

32:23

again subdivided into 1.1 and 1.2 and

32:27

see here. Okay. So this sheet I will

32:31

provide to you. Don't worry about that.

32:32

Okay. Although it is available on the

32:34

portal.

32:40

Yeah, it is available on portal at uh if

32:44

you want I will share it the chat box as

32:47

well. Okay, don't worry about it. But

32:48

concentrate on the uh the syllabus.

32:52

Okay, it's a it's a syllabus for you. So

32:55

in the uh you can see the learning

32:58

outcome one. This we will going to

33:00

discuss in detail. That's it. Okay. So,

33:03

analyze the key issues in the

33:05

applications of databases

33:07

within organizational environment.

33:10

So, uh in short you can say we were uh

33:15

we going to discuss the fundamental

33:17

aspects of datp

33:21

aspects what are the key points

33:25

introductory points fundamental parts of

33:26

databases. Okay. with respect to some

33:30

organizational databases. Okay, that a

33:33

kind of databases which you are

33:34

implementing in the going to be

33:36

implemented particular organization.

33:38

Okay. So we'll try to identify the key

33:40

issues and applications of databases and

33:44

we'll try to implement it. Okay. We'll

33:46

identify it, analyze it and try to

33:49

implement it. Okay. The next one is uh

33:52

in the 1.2 do we'll try to identify

33:55

critical evaluate the features and

33:56

advantage of DBMS okay we'll learn about

34:00

the features the advantages the

34:02

characteristics the disadvantages we'll

34:05

compare all this okay and discuss the

34:07

introduction of SQL so SQL is very

34:11

important part okay this is called the

34:13

structured query language and uh this is

34:16

a kind of tool practical tool okay

34:20

through which we'll try to understand

34:22

that how DBMS how different tables we

34:26

can create the tables we can insert the

34:28

records we can patch the records how we

34:30

can maintain the databases okay so uh

34:34

you can say that uh the subject is will

34:37

is basically divided into the

34:39

theoretical as well as practical part

34:41

okay so at the same time I will discuss

34:44

the theory and uh I will try to devote

34:47

some of the uh uh some of the time of

34:50

the class to perform some practice

34:52

practical essay. Okay.

34:55

So for that purpose

34:58

uh yeah of course for that purpose uh uh

35:02

you need not to uh means download any

35:05

type of software. So I will provide you

35:08

the uh online

35:11

uh uh platform on that platform if you

35:15

are accessing the internet so you can

35:17

easily write the queries okay and run

35:21

that queries only because what happens

35:23

that I I'm not having any issue that if

35:25

you are downloading the Oracle okay and

35:28

SQL is one of the tool but what happens

35:30

that Oracle is a very heavyweight type

35:33

of software okay so for downloading the

35:37

uh or first of all the license versions

35:41

are available it is very costly but

35:43

although if you are able to anyhow

35:47

manage this uh but what happens that it

35:51

requires at least 8 to 10 GB of uh space

35:55

in your computer systems and heavy

35:56

software is there so uh it is not only

36:00

heavy but slow down the speed of the

36:02

computer systems as well okay so better

36:04

to run the queries online Okay. So I

36:07

will provide you uh one link SQL live

36:11

link. At that link you can practice all

36:15

the queries. Okay. So a very good

36:17

platform free of cost available and you

36:19

can write your queries and you can run

36:21

your output. You can see your outputs

36:22

you can run your queries as well. Okay.

36:25

So u in in the every class we'll try to

36:28

divide our class into in such a manner

36:30

so that uh one part in one part we'll

36:34

learn the theory and in another part

36:37

we'll try to learn how to implement that

36:39

uh theory okay not theory but we'll try

36:42

to implement that how practically we can

36:45

uh see that how databases are working

36:48

okay so uh in the first learning outcome

36:53

it is already mentioned that we can

36:56

start discuss the SQL. Okay. In the

37:01

learning outcome two, you can see here

37:03

the learning outcome to again divided

37:05

into two parts that is 2.1 and 2.2.

37:08

Okay. So in the first part uh that is

37:11

called the analyze a database

37:13

development methodology for designing a

37:15

database. Okay. we'll try to analyze

37:18

that how we can develop the database and

37:21

what are the methodologies are there to

37:24

design the database. Okay. So in this

37:26

category we'll try to learn different

37:28

type of models uh which are available in

37:31

the DBMS or databases and we'll compare

37:34

all these models and we'll analyze that

37:35

what are fit for uh our problem. Okay.

37:40

It depends on the type of problem you

37:42

are having. Okay. So next a very

37:46

important part is the EI diagrams. Okay.

37:49

So EI diagrams and normalization. So

37:52

this is very much important. Two things

37:54

are very much important that is SQL and

37:56

another one is EI diagrams. Okay. Why

37:59

I'm saying that it is important because

38:00

this is the core part for writing the

38:03

reports. Okay. So majorly in your report

38:07

writing we'll use these concepts. Okay.

38:11

So no report is complete without

38:15

developing EI diagram or without writing

38:18

the SQL queries. Okay, this is very much

38:21

important. So in this way the two

38:24

learning outcomes one is fundamental

38:27

part and another is uh in another we'll

38:31

discuss the models and uh EI diagrams.

38:35

Okay, in this way it's being divided.

38:38

Next one is

38:41

you can see the learning outcome three

38:45

which is again divided into 3.1 3.2 two.

38:47

Okay. So in this 3.1 we'll discuss the

38:51

database development life cycle.

38:54

Okay. So what is the systematic way of

38:57

developing uh databases big databases.

39:00

Okay. So development like software

39:03

development it's a complete process. So

39:05

number of uh stages are there and we

39:07

have to uh we have to uh run execute

39:13

each and every stage and every stage uh

39:16

after performing their task give their

39:19

output to the next stage. Okay. So a

39:22

collaboration is there between different

39:24

stages and at the end you will got the

39:26

complete databases. Okay. So development

39:29

of a complete DBMS or database solution.

39:33

uh for developing this you have to

39:35

follow the complete life cycle okay so

39:38

we'll learn this that how this life

39:40

cycle will be built and uh how it is

39:43

very useful to develop DBS okay and in

39:46

the 3.2 two we'll discuss how to design

39:49

a database. Okay, how we can design it

39:52

and related commands which are useful

39:54

for that. Okay, so it [snorts] perform

39:57

the given set of commands to your

39:58

databases with all the required tables

40:01

and relations. Okay, not only we will

40:03

discuss the development of single table

40:06

but we'll discuss that how different

40:08

tables are interconnected with each

40:10

other. Okay, in the last part you can

40:13

say the fourth ALO okay learning outcome

40:18

four again divided into 4.1 and 4.2

40:21

In the 4.1 we'll evaluate the

40:22

effectiveness of the database solution.

40:25

Okay. And how we can maintain it. So

40:30

yeah table dependencies also. Yeah.

40:34

Okay. So in this we'll try to learn that

40:40

once your database has been generated.

40:42

Okay. So again how we can improve this.

40:47

Okay. and how we can maintain this.

40:50

Maintenance is very important. So, uh

40:53

software maintenance is a very integral

40:55

part of our computer science. So, what

41:00

happens that once we develop the

41:02

software, okay, software development is

41:04

only one part which takes the only 30 to

41:07

40% of the efforts in the entire

41:11

development. Let's say rest of the 60 to

41:14

70% of the efforts are maintenance.

41:18

Okay. And it's a lifelong process. It's

41:21

a continuous process. So once we

41:23

deliver, once we complete the

41:26

development of the project, we deploy

41:28

the project. After deploying the real

41:32

problem

41:33

uh is basically faced by the end user

41:37

and the developer. Okay. It's a

41:39

continuous process. whenever they feel

41:42

uh any improvement, any modifications

41:46

needed so they have to contact to the

41:48

developers. Okay. So it's a very

41:50

important part. You can see that number

41:52

of companies are surviving just for the

41:54

maintenance. Okay. very big giant

41:56

companies are uh still earning their

42:01

profits on the basis of maintenance

42:04

because after deployment of a solution

42:07

onto the company it's a kind of solution

42:09

which no one is going to be replaced on

42:13

every year okay replacement is not

42:16

possible once a software is deployed so

42:19

anyhow you have to continue for lifelong

42:22

okay

42:24

so uh Yes, of course. And change and

42:27

modification is a process. Suppose you

42:31

have installed one software keeping in

42:34

mind that you are having only four

42:36

departments but but what happens that in

42:38

upcoming years your organization broke.

42:41

So maybe you launch some new products,

42:44

you increase the strength of employees,

42:47

maybe your departments have been

42:48

increased from four to six. Okay. So the

42:52

uh earlier software solution cannot

42:54

work. So you have to modify your

42:56

software and whenever you have to modify

42:59

your software so you it goes into the

43:01

maintenance part. Okay. So only those

43:06

who actually develop that software can

43:08

perform this maintenance. Okay. That's

43:10

why I'm saying it's a long lifelong

43:11

process. Okay. So maintenance is also

43:14

very important and at the end we'll

43:16

learn that how we can maintain our

43:17

software. Okay. So [snorts] this is what

43:21

the entire syllabus is a short idea

43:23

about the entire syllabus. Okay. But why

43:27

we have discussed this uh syllabus

43:30

because we have to concentrate on this

43:32

part.

43:34

Okay. So what is that part? This is what

43:38

the task one and task two. Okay. So what

43:41

happens that learning outcome one and

43:43

two

43:45

this is basically a kind of syllabus

43:47

responsible for writing reports. So

43:50

first two units in your entire semester.

43:53

So you have to submit one report. Okay.

43:56

So don't worry what you have to perform

43:59

in your report. We will provide you we

44:02

will provide you the complete structure

44:04

the complete number of questions. Okay.

44:07

And you have to identify the answers of

44:09

that questions and you have to write

44:11

your answers in your own words and

44:13

submit and create a complete report and

44:15

submit that report. Okay. So uh

44:18

basically what happens that the entire

44:20

semester

44:22

you [snorts] can see the weightage is

44:24

divided into two parts. 50% of the

44:26

weightage has been given to your report

44:28

writing and 50% of the uh of the

44:31

weightage has been given to your uh end

44:34

semester exam. Okay. So your end

44:37

semester exam uh the syllabus for that

44:40

is LO3 and LO4. Okay. And don't worry

44:43

it's online exam. Okay. But the question

44:47

asked in this exam from LO3 and LO4.

44:51

Okay. So in this way your syllabus is

44:53

divided. Is that clear? Or any question

44:56

related to this?

44:58

[gasps and snorts]

45:08

Fra

45:10

welcome again.

45:17

Aisha Babatra.

45:30

Great

45:34

Shibban Mohammed. Okay. Uh hopefully

45:38

the most of the things are clear to you

45:42

and very important thing is the dates.

45:46

Okay. So you can see the dates are also

45:48

mentioned. So uh this these are the

45:53

important dates.

45:57

Yeah. Exam will be online.

46:00

Okay Mohammed Ali. So exam will be

46:03

online. Don't worry about the exams. It

46:06

is a far away from us. But the nearby

46:10

task is your report writing. Okay. So we

46:13

will uh do more focus on this report

46:19

writing. So as usually the first thing

46:22

is the slavers. The slavers for the

46:24

report writing is L1 and LO2. Okay. The

46:28

second thing is be prepared yourself for

46:31

the target date. Okay. So this is the

46:34

submission week. So one complete

46:38

submission week is there that is uh you

46:40

have to submit your report in between 11

46:43

to 16 April. Okay. So meanwhile we are

46:48

in January. So we are having uh one big

46:51

break in between the March hopefully.

46:54

Okay. So but

46:58

uh you are having uh a complete half of

47:01

January and the full of February. Okay.

47:04

So in between these I will try to

47:06

complete all these uh

47:09

these two allows. Okay. And meanwhile

47:12

don't wait for

47:15

end of the session. Try to write or try

47:20

to create some notes.

47:23

Okay. based on the learnings based on

47:27

the every week learning. Okay. So what

47:30

happens that uh whatever we will discuss

47:34

in every week

47:36

uh well actually what happens that

47:39

report writing is based on the real life

47:41

examples. Okay. So after learning the

47:45

things try to take some examples and

47:48

implement it uh on uh on your uh by

47:54

using this learnings okay so examples

47:56

are very important and uh some of the

47:59

example I continuously discuss with you

48:02

don't worry about that but what I'm

48:04

trying to say do not wait for the uh end

48:09

of the time duration okay so try to note

48:13

it down or create your own notes or

48:15

write something take your own uh uh

48:19

examples and do discuss with me okay if

48:23

you are facing [clears throat] some some

48:24

problems uh because it's a very crucial

48:26

part and 50% of the witness has been

48:28

given to this report writing okay it's

48:30

it's a very important thing so uh the

48:34

thing is that

48:36

uh and uh during the discussion I will

48:38

uh try to make it make you clear that uh

48:41

how to write the reports and what type

48:44

of questions we are going to ask the

48:45

reports. Okay. and uh how to uh what are

48:49

the rules regulations especially uh for

48:52

writing the reports because uh the last

48:55

semester students are having the idea

48:57

okay but new students I I will explain

49:00

you uh in detail that what are the rules

49:03

you have to follow okay because in short

49:06

if I'm saying that no cut copy paste are

49:08

allowed okay if you are thinking that

49:10

you just copy paste it from uh Google or

49:14

try to write it uh with the help of chat

49:16

GPD so it is not going to be work. Okay.

49:19

So we are having a a very efficient

49:22

software plagism software. This plag

49:25

software capable of identify the uh you

49:29

can say the uh genuinity of your uh

49:34

work. Okay. Yeah. It's called turn it

49:36

in. Okay.

49:41

Yeah. So turn it in software is there.

49:44

So uh if you are thinking that you can

49:47

copy paste it from anywhere this is very

49:49

efficient software and capable of

49:51

identifying whether you have uh put the

49:54

genuine efforts in the report or not.

49:56

Okay. Clear.

50:00

So this is the wiperation where 50%

50:02

means 50 marks. You can see here this is

50:05

the viperation. Okay. So 1.1 to 2.2.

50:10

Okay. If we add all 12.5 so it becomes

50:13

50. Okay. So in the same man error the

50:16

rest 3.1 to 4.2 is uh if you calculate

50:20

it uh add it so it becomes 50. Okay. So

50:24

you can see the total marks is 100.

50:27

Okay.

50:29

So 50% of the weightage for report

50:31

writing and 50 for the uh end semester

50:34

exams. Okay. So for the end semester

50:36

exam also uh the dates are mentioned

50:38

here. You can see 20 to 28th June. Okay.

50:43

and it is very far away from us but we

50:46

should have to concentrate on this.

50:48

Okay.

50:51

And uh in the same uh assessment brief

50:54

some of the links are uh provided here.

50:57

So you can use the some expected sources

51:00

which are available online. You can

51:02

refer this. Okay. And uh along with that

51:07

uh some of the rules regulations have

51:09

been written over here. uh we'll discuss

51:11

it but uh in short you can see uh that

51:16

how to uh you can say what name we

51:19

should have to give to the file okay you

51:21

should have to create the file in PDF

51:24

form or word format so you have to save

51:27

this file by some names so names have

51:29

been mentioned here that in this way you

51:31

can create your file okay or save your

51:34

files

51:36

and uh

51:39

mid- semester reports some of the idea

51:42

they have written over here. Okay, we'll

51:44

discuss it later. Along with that uh uh

51:47

one link has been provided to you. Uh in

51:49

that link by using this you can access

51:51

the library as well. Have you got this

51:54

link to access the library? Yes,

51:56

>> online library

52:00

per log I think. So this this type of

52:02

name is there. Uh yeah, you you can use

52:06

that that link also to uh find some of

52:09

the uh resources. Okay. So you can learn

52:12

from that also. Okay.

52:17

So

52:20

yeah uh it is very important. I'm going

52:23

to discuss this uh for reminding me.

52:26

Thank you. So uh the another part is the

52:31

break times. Okay.

52:34

Or you can say that how we can divide

52:36

our class. So although the duration for

52:39

that class is three

52:41

at half hours total. Okay. And out of

52:44

that uh the half hour is for break time

52:48

15 15 minutes two breaks. We'll take two

52:50

breaks uh in between that uh in between

52:53

that uh three and a half hours. Okay. So

52:56

but uh the first break is very crucial

52:59

and uh from uh your uh college uh I got

53:05

this information that the uh

53:10

with me it is called uh

53:13

around uh yeah we have to align with the

53:16

prayer time and [snorts] that prayer

53:18

time is what um

53:21

six not six 7

53:26

around 7. No, my time it is 7:50.

53:30

>> Okay. From your side, what is that?

53:32

>> 7:36 is the time for the

53:35

>> What is the time?

53:37

>> 7:36.

53:39

>> It's 7:30. Prayer time.

53:41

>> Yes.

53:48

>> Yeah. Prayer prayer time has been uh

53:50

always start with 7:30. You are saying

53:59

>> the air time is at 7:36.

54:02

>> 7:36. Okay. So, we'll try to take break

54:06

around this. Okay.

54:11

Around 70s they have provided me. Just

54:14

just a minute. Let's see what has been

54:19

written.

54:27

>> [clears throat]

54:27

>> Break time is where is just a bit.

54:38

Uh I found my

54:41

where is my

54:44

in my mobile they have written to just

54:46

give me

54:59

okay so uh

55:03

I got the

55:13

message

55:16

to take break at uh

55:20

okay

55:23

7:25

55:27

is that correct? 7:25

55:29

7:25 to 740

55:33

Is that okay [snorts]

55:38

or we have to take it uh much more

55:40

later?

55:45

So I I have been instructed to take

55:48

break at around 7:25 to 7:40.

55:52

Ibrahim

56:06

Okay. It's

56:11

[snorts] okay. Uh we will

56:13

I will take it more uh 5 minutes. We'll

56:16

take more 5 minutes. Okay. We'll take

56:18

7:30. No problem at all. 7:30 to 7:45.

56:22

Okay. It's quite better.

56:33

Yeah, accordingly I will take the second

56:35

break just after uh 1 hour. Okay. So it

56:39

totally depends that on on what time we

56:42

are taking the first break. Okay. So uh

56:45

whatever the timings are of the first

56:47

break is there. So just after because in

56:50

second break there's no problem.

56:55

No such kind of issue is there the

56:56

second break but uh

57:01

there should be a normal consensus for

57:05

the uh first break. Okay. Yeah. At the

57:09

uh end. Okay. So the half an hour uh we

57:14

will reserve for uh taking the

57:17

attendance and uh for and for uh your

57:21

problems. Okay. So the last half an hour

57:24

is reserved for resolving your problems

57:29

or your questions. Okay. And the

57:32

attendance part

57:34

and rest of the time is dedicated for

57:38

our normal discussion [snorts] and

57:40

especially in DBMS the one part is for

57:43

theory and another part is some of the

57:45

practical we will do. Okay. So in this

57:47

way we'll continue our discussion.

57:51

Got this? any problem into that.

57:54

[snorts and gasps]

57:59

Okay. So let me start with my PB just

58:02

give

59:16

>> [snorts]

59:16

>> Okay. So let us start

59:20

just a bit.

59:33

Okay. So uh before starting let us once

59:36

again uh focus on the books uh standard

59:40

books. So uh what happens that uh you

59:43

should have to uh means it's uh

59:48

advisable to learn the things from the

59:50

books. Okay. Because books are very much

59:54

important for learning

59:56

and uh we being a human is designed in

59:59

such a way that if we are learning from

60:00

books. So not only uh we'll get the

60:05

genuine uh information but uh when we

60:10

are learning through the books uh we

60:12

will able to uh remember this

60:15

information for a long time duration.

60:18

Okay. And each and everything are much

60:20

more clear. So I'm talking about the

60:23

standard books available for DBMS.

60:27

Although the name of your subject is

60:29

database uh concepts okay database

60:32

design concepts but actually the subject

60:35

is very well known as database

60:38

management system. Okay. So widely it is

60:41

used as DBMS. Okay. All the both the

60:45

things are almost same. So for that

60:47

purpose we are having these number of

60:49

books.

60:54

Um I'm not sure that it is uh basically

60:58

these are very well-known books. So it

60:59

is not

61:01

uh free of cost available. Okay. But you

61:05

can check your prologue. So online

61:07

library that is that available in the

61:10

online library or not. Although what

61:13

whatever the books we have mentioned in

61:16

that blog so it is uh available but for

61:19

these books you should have to refer

61:22

okay you have should have to cross check

61:24

it okay please try to cross check but

61:27

I'm just giving you one idea that these

61:29

are some well-known like fourth okay so

61:33

this is the first book sorry

61:36

just

61:37

the first book that is database system

61:39

concepts

61:41

so syllabus Henry and fourth. This is a

61:44

very famous book. Okay. And majorly

61:48

students are

61:50

those

61:52

who are learning DBMS are following this

61:54

course. Okay. Course is writer. So when

61:57

I'm uh in my uh you can say that college

62:02

days. So we usually refer these books.

62:05

Okay. At that time internet was not

62:07

there not that much popular. No YouTube

62:09

channels are there. Okay. So at that

62:11

time this is a very famous book and

62:13

[snorts] likewise for some of the uh

62:17

concepts like uh if you want to learn

62:19

about the normalizations and other

62:21

topics for that Ramse al-Masari

62:27

okay so fundamental of DBMS systems and

62:30

been written by Nawat also this is also

62:32

very famous book okay so these two books

62:35

are very important and goods so you can

62:38

refer these two books Okay.

62:41

Now let us talk about so what we are

62:44

going to discuss. Okay. So we are uh

62:47

starting from the data very important

62:49

part and uh uh this is you can say not

62:54

the introduction but from the right now

62:58

the your actual class has been started.

63:01

So

63:04

uh tight your seat belts. We are

63:08

starting now. Okay. So as the DBMS says

63:13

that a database management system or if

63:18

I'm saying that your own subject

63:20

database design concepts in both the

63:23

things what are common the common is

63:26

data okay so data data everywhere. So uh

63:31

what happens that because

63:37

okay mus have you checked that this is

63:40

free of cost available that's great okay

63:42

so what happens that [snorts]

63:45

uh data is very important nowadays okay

63:49

and everyone is talking about the data

63:51

[snorts] not only for DBMS also but for

63:54

the uh very famous concepts we are using

63:58

like artificial Intell [clears throat]

64:03

sorry artificial intelligence okay

64:06

[snorts] have heard about that

64:08

artificial intelligence

64:10

so the for the artificial intelligence

64:14

also if I'm saying that AI or machine

64:17

learning so AI or machine learning is

64:19

nothing it's a kind of course okay the

64:22

software or program [snorts] which we

64:25

have uh designed uh creatively Okay. So

64:30

what happens that that code or design

64:33

cannot work alone. Okay. They cannot

64:36

work by themsel. Okay.

64:45

>> Okay. The link is also available. Yeah.

64:48

Share the link with us. Okay. Yeah.

64:50

Chity is a great example for that. So

64:52

what happen that

64:55

that your uh AI systems or machine

64:58

learning systems also that they they

65:00

cannot do alone they the uh simple

65:04

program cannot do anything. So the thing

65:07

is that the important part is the data.

65:12

Okay. So without data AI is nothing. You

65:16

can say that data is a kind of fuel for

65:20

AI. And

65:22

another thing is data is not a fuel for

65:25

AI but data is a fuel for everyone. And

65:30

uh you can say in short data becomes new

65:35

fuel for the world. Okay. So as the uh

65:41

you can say petrol and diesel is

65:44

important. Okay. But along with that

65:46

nowadays at the same time data is also

65:49

very important. So everyone is looking

65:51

for data. Everyone is fighting for data.

65:54

Okay. So everyone even every country

65:58

trying to store or save their data

66:02

within their territory. No one wants

66:05

that another country will capture their

66:08

data or misuse their data. Okay. So the

66:12

world of data is uh very very expanded

66:16

you can say [snorts] but let us discuss

66:19

about this data from the very uh you can

66:24

say that fundamental. Okay. So first of

66:27

all you can see my picture. So uh

66:32

let us discuss that from where we are

66:34

getting this data. Okay. So we are

66:37

getting this data from various places.

66:40

For example,

66:41

uh transport data. Okay,

66:45

uh number of uh transport data you can

66:49

say transportation system data. Okay. It

66:53

includes both logistics or uh normal

66:58

passenger vehicles. Okay. Yes, of course

67:01

they are maintaining data. So you are

67:04

having a complete bus route path time

67:08

table. Okay. So every bus or vehicle has

67:12

the fixed route. Okay. The route and on

67:16

which they are covering the number of

67:18

cities. Okay. They are carrying the

67:20

passengers the cost of the ticket. So

67:23

data number huge amount of data is

67:25

there. Okay. Uh the data of

67:30

geographical

67:32

geographical locations are there. Okay.

67:35

So distance places

67:37

one city another city how much distance

67:41

is there where they has located okay how

67:46

much uh uh you can say that uh

67:52

different type of routes are possible

67:54

okay from a city to B city

67:57

cultural data okay so cultural I hope so

68:02

that uh it's a very simple I think you

68:04

can understand that every country every

68:08

uh the part of that country has a

68:10

different type of cultures. So we are

68:12

maintaining the their uh culture in

68:15

different forms in language. So every

68:19

country has their own language. Okay,

68:22

their own grammar, their own dictionary.

68:24

Okay, they're maintaining it. Scientific

68:26

data we are maintaining. Okay, so huge

68:28

amount of scientific data. uh data

68:31

related to uh different type of genes uh

68:34

DNA uh viruses bacterias okay uh

68:39

recently you have we have gone through

68:40

the covid pandemic as well okay so a lot

68:44

many different type of medical datas

68:46

also there okay financial data okay uh

68:50

related to banks or financial

68:52

organization uh share markets so a lot

68:56

of lot of datas are there okay they are

68:58

maintaining

68:59

Stat stat statistical data are also

69:01

there. Population relative data

69:04

>> [snorts]

69:05

>> uh data related to uh uh means uh uh we

69:11

budget budgets we are launching. Okay.

69:14

And uh how many uh different type of

69:18

things means governments are working for

69:20

that literacy rate. Okay. Poverty rate

69:23

and different type of statistics are

69:26

there. Okay. Based on that statistics,

69:28

governments are uh demographic. Yes,

69:31

demographic datas there and companies

69:33

are maintaining or creating their

69:35

policies depends on that statistical

69:36

data. Okay. Meteorological datas are

69:38

also there, natural data. Okay. You see

69:41

data about the mountains, forest,

69:44

covered area, forest covered area, uh

69:47

field cover area. Okay. Populated dense

69:51

populated area. Okay. and uh the

69:55

information about the different species

69:58

that bound in that area. Okay. So we are

70:03

uh not only maintaining the data but

70:07

every day we are producing huge amount

70:11

of data. Okay. So at earlier what

70:14

happens that uh because technologies are

70:16

not so much advanced. So that's why what

70:20

happens that uh we are lacking in data

70:23

but nowadays we are not only using but

70:28

producing huge amount of data okay so

70:32

think about the CCTV camera installed

70:34

everywhere okay capturing the images and

70:38

videos so and you can take the example

70:41

of YouTube so number of videos we are

70:43

generating number of videos already are

70:46

into that YouTube environment Okay. So

70:49

earlier if we go back uh just 10 years

70:52

back so at that time uh we are not using

70:57

YouTube uh so much in our day-to-day

71:00

life but it become the part of our life.

71:03

Okay. So uh the thing is that the we are

71:08

covered everywhere from data in data.

71:12

Okay. So this is a small idea about data

71:16

and hopefully the time is uh over and

71:21

this is time for your prayer break.

71:23

Okay.

71:25

So the [clears throat] exact time is

71:26

there.

71:28

So we are taking one break here. Okay.

71:30

So it's a 15 minutes break.

71:33

So all of you can uh go for prayer and

71:38

whatever you are having. Okay. You can

71:41

utilize this break and even you can go

71:44

off the camera for uh buy this break.

71:47

Okay. And we'll come back just after 15

71:51

minutes. Okay.

71:53

[snorts]

91:34

So, welcome back everyone.

91:41

>> [snorts]

91:47

>> Okay. So, uh before going to break uh we

91:50

were discussing about the data. Okay.

91:52

And we have discussed that why data has

91:54

become the new fuel for the entire

91:58

world. Okay. So, everyone is fighting

92:01

for their own data.

92:03

So, every country is trying to

92:07

safeguard their uh data locally.

92:11

Every person is trying to uh localize

92:13

their data and it is uh a good practice

92:18

that uh you will not to give your own

92:23

data free of cost. Okay. But anyhow what

92:26

happens that companies are continuously

92:28

tracing you tracking you and uh

92:33

you are continuously

92:35

uh creating the data. Okay. So first of

92:39

all let us talk about the definition

92:41

about the data. Okay. So wherever we go

92:45

the the definition becomes uh common.

92:48

Okay. The same the definition says that

92:53

these are the raw effects. Okay. The

92:55

data is what data is a raw facts or

92:58

figure.

93:00

Okay. It's raw facts or figure. And the

93:02

nature of this raw pixel figure is that

93:06

one thing is common that it can be

93:08

recorded. Okay, it is characteristics is

93:11

that that it can be recorded and it has

93:13

some implicit meaning. Okay, so these

93:17

three things are there. First thing is

93:20

these are raw facts and figures or you

93:22

can say that it's it's known facts.

93:24

Okay, raw raw facts and figures. And the

93:27

second one is uh the nature of this data

93:30

is it can be recorded. And the third

93:32

thing third thing is it has some

93:34

implicit meaning that's why we are

93:36

collecting. Okay. So raw effects why it

93:40

is called the raw fctions. Let us take

93:43

uh let us understand this one by one

93:45

example. Okay. Suppose uh I'm taking

93:49

this example uh from your own college.

93:53

Okay. So I'm taking the example of

93:56

college uh in which suppose

94:00

uh one admission counselor is sitting in

94:03

an office okay taking admission

94:07

in one university or college okay now

94:11

what happens at the end of day if uh uh

94:16

for example the principal or director of

94:19

that college met with that person that

94:21

admission counselor and ask some

94:24

queries. Okay, ask some questions that

94:28

uh how many students have taken the

94:31

admission

94:33

today? Okay, especially today how many

94:35

students have been taking the admission.

94:38

So what happens that admission counselor

94:40

is not uh means taking collecting the

94:46

data in certain order or in opposite

94:49

word you can say that uh people or

94:52

students those who wants to take

94:54

admission in that university or college

94:57

they are not coming or approaching that

95:00

uh admission counselor in order okay

95:03

there's no order so maybe uh that

95:07

Some of the students uh those who wants

95:10

to take admission in computer science

95:14

contacted in the morning. In the

95:17

afternoon some students wants to take

95:20

admission or take an admission in

95:22

management courses. The evening some

95:25

students have uh approached to take

95:28

admission in some humanities courses

95:30

like in some English language or some

95:33

history geography like type of things.

95:35

Okay. So you can say that no one is

95:38

coming in order. Okay.

95:41

And even the simple questions the answer

95:45

of simple questions this becomes very uh

95:48

confusing. Okay. So if someone asks that

95:52

admission counselor that how many

95:55

students have been taken admission

95:57

today. Okay. Maybe what happens that uh

96:00

that admission counselor has the total

96:02

count. Okay.

96:05

[cough] He's able to say that total 150

96:08

students have been taken admission. Uh

96:11

but to give the answer of that query

96:13

that how many students have been taken

96:15

the adction especially. So that person

96:19

has to do some calculation. Okay has to

96:23

not calculation you can say they have to

96:25

arrange that data into some order and

96:28

what is that order? That order is date

96:30

wise. Okay. So he will say that please

96:35

wait for a minute and let me check date

96:38

wise that how many students have been

96:41

taken admission on today's date on that

96:45

current date. Okay. So what happens that

96:47

that person will arrange the data date

96:50

wise. Okay.

96:53

So means the data which that person or

96:57

admission counselor has been collected

96:59

is a raw facts raw facts and figures. So

97:02

he was not in the position to give some

97:06

outcomes

97:08

before ordering the data. Okay. Now the

97:12

another question is asked by the

97:14

director. Okay. Now that principal is

97:18

interested in uh the course wise

97:21

admission. They want to know know that

97:24

how many students have been taken

97:25

admission in computer science, how many

97:27

students have been taken admission

97:28

management and how many students have

97:30

been taken admission in humanities.

97:34

Okay. Now the admission counselor is

97:36

again confused. Okay. So how that

97:41

admission counselor can can give the

97:43

answer? Okay. Although he has all the

97:46

data but that data is in the random form

97:51

raw form. Okay. So that person cannot

97:55

give any outcome any conclusion. Okay.

98:00

So what that person will do we'll say

98:03

just wait for a minute and let me order

98:07

this data course wise. Okay. So after

98:12

converting that raw facts into

98:15

course-wise manner now that admission

98:18

counselor is in situation to give answer

98:21

that that number of students maybe 15

98:24

students have been taken admission in

98:26

computer science and uh 10 students have

98:29

been taken admission in management and

98:32

12 students have been taken admission in

98:33

humanity courses. Okay. So now you are

98:37

able to understand that what are raw

98:39

effects. Now uh in which form that raw

98:43

effects have been converted

98:45

that raw effects have been converted

98:47

into information. Okay. So date wise if

98:52

I'm giving some count so that is what

98:55

that is information course wise if I'm

98:58

saying this is what information but the

99:02

data remains same okay data is same but

99:07

we can calculate the number of outcomes

99:11

from the same data okay so data never

99:14

becomes old and data never becomes

99:18

exhausted Okay. So unlimited number of

99:22

outcomes you can take from that data.

99:27

Outcomes mean information. So number of

99:30

informations you can calculated

99:32

calculate okay from that raw fact and

99:35

figures. So now if I compare that data

99:39

with information can you compare anyone?

99:44

Anyone who can compare the uh difference

99:46

between the data or information

99:52

from

99:53

up to this point of time

99:57

whatever the discussion we have done

100:00

please give me some idea

100:08

very good

100:10

is saying data is raw and information

100:13

sorted out data Yeah, that's great.

100:15

Anyone? Anyone else who wants to add

100:18

something to this?

100:34

No one wants to add unprocessed. So what

100:37

is unprocessed?

100:40

Is that information or data? Raw data.

100:43

Okay.

100:46

[snorts]

100:49

Anything else?

100:55

Like filtering information out from raw

100:58

data. Okay.

101:01

Okay.

101:03

So, let me conclude.

101:07

Information process data. Good. So, let

101:10

me conclude. So once again the data is

101:14

called

101:16

information is validated inconsistent.

101:20

Okay. So uh as we have discussed

101:25

as I told you the data is what it's a

101:28

raw facts and figures. is not

101:32

arranged. Okay, it's a random facts.

101:37

You can say that we are just collecting

101:43

that data in the order in which it is

101:47

coming. Okay, irrespective of that

101:52

whether it's a small data, big data,

101:56

at what time it is coming, I'm just

101:59

recording all these activities.

102:02

Okay? Like if I'm saying

102:06

uh you are sitting on a toll booth where

102:11

number of cars or vehicles are passing

102:13

out and you are collecting a toll or

102:18

some uh you can say that money to pass

102:24

from that area. Okay.

102:27

So but toll booth is noticing every car

102:30

or vehicle which is passing that toll.

102:35

Okay. So this is raw facts and figures.

102:38

But if I'm saying that you have to

102:40

conclude that on what time duration the

102:45

number of vehicles are or you can say

102:49

the frequency of vehicles passing the

102:52

toll is high and on what time it is low.

102:56

So you are saying sir at the evening

102:59

time when offices are closed so people

103:02

rush to their homes. So on that time

103:05

means uh at evening time from 5 to uh 8.

103:11

So lot many vehicles are on the route

103:14

but on in afternoon and at night the

103:18

frequency is very much low. Okay this is

103:21

the information for me. Now I am saying

103:23

that uh out of the entire vehicles

103:30

which

103:31

number of vehicles are which type of

103:34

vehicles are much more is that the

103:37

trucks or cars. So you are saying yes

103:41

the number of cars who are passing this

103:45

toll is much more than the trucks. Okay.

103:51

Likewise, if I'm coming back to my

103:53

example

103:55

now, director can ask any questions like

103:58

they can say that how many girls

104:01

candidate have been taken the admission,

104:04

how many boys have been taken the

104:05

admission, how many of them who has

104:09

taken admission belongs to local city

104:13

who belongs to far away places. Okay.

104:18

How many students

104:20

specially taken an admission in uh

104:23

computer science and I am I'm ask I can

104:27

ask that within the computer science how

104:29

many students are girls candid you get

104:31

how many boys candidates are there okay

104:34

so in this way number of outcomes you

104:37

can conclude

104:39

and

104:41

this becomes important for us okay and

104:44

it is unlimited

104:46

so in short if I'm saying now I'm

104:48

concluding that when we convert that

104:51

data into some order,

104:54

okay, when we arrange this data into

104:57

some order, then this data becomes

105:00

information for us. Okay, that order can

105:04

be anything. That order may be

105:08

increasing or decreasing order. That

105:11

order may be categorized. That order may

105:14

be date wise. Okay, gender- wise, city-

105:18

wise, country wise, height wise, weight

105:21

wise, okay, anything. It can be

105:24

anything. So in short we can say when we

105:27

convert our data into some order, then

105:31

it becomes information for us. Okay, but

105:34

before that what is that? This is the

105:36

raw fraction figures that we are

105:39

collected

105:41

uh as it is happening. Okay, we are just

105:45

recording it. Okay, but whenever we are

105:49

recording something, it has some

105:51

implicit.

105:52

Okay, it has some meaning. Like if I'm

105:55

recording the admission, so I'm

105:58

recording the student uh name, student

106:02

father's name and some important

106:06

information related to that student.

106:09

Okay, so it has some implicit meaning.

106:12

Okay. So whatever you are collecting you

106:15

are collecting meaningful. Okay. But

106:19

it's not in order. It you are recording

106:21

it as it is as it is happening. Getting

106:25

this now. Is that clear?

106:30

>> So clear.

106:32

>> Okay. That's great.

106:39

But the thing is there once again the

106:41

thing is that that we are producing

106:44

nowadays we are producing huge amount of

106:47

okay so like uh if I we can say that we

106:50

can take the example of your GPS system

106:52

okay even though we are simply moving

106:55

from here to there we are producing the

106:57

data okay because you can find in your

107:00

mobile phones if you uh wherever you go

107:03

your mobile phone is tracing Okay.

107:06

Because your uh location is on. Okay. So

107:09

they are recording your locations.

107:12

>> GPS.

107:14

>> Yeah.

107:15

>> GPS data.

107:17

>> Yeah. GPS data. And at the end of the

107:19

month what what they are doing? Gmail

107:21

Gmail ID. Okay. You can check in your

107:24

email ID that they will send you the

107:26

email. uh and in the email the uh they

107:30

will provide you the entire set of

107:33

activities which you have performed

107:34

throughout the month. You can cross

107:37

check it that how

107:41

means number of places you have visited,

107:44

what restaurant you have visited and uh

107:48

how many kilometers you have traveled.

107:51

Okay, throughout the month the total

107:55

traveling you have done. So everything

107:58

they will provide you at the end of the

108:00

month. Okay. So it means by default they

108:04

are tracing you. Okay. They are tracking

108:07

you and wherever you go they are finding

108:10

this information and even delivering

108:13

this information to you as well. Okay.

108:15

So not only uh you cannot say that uh

108:20

after performing certain action means uh

108:23

some uh data if unless I'm not feeding

108:28

something okay I'm not uh giving

108:31

something to the computer system uh we

108:34

are not providing any data without this

108:37

but what happens even we are moving from

108:39

here to there then only also we are we

108:42

are producing the data okay so in That

108:45

is why a company becomes very smart.

108:47

Okay. So they are continuously tracking

108:50

you in different different forms and uh

108:52

they are using this data for their own

108:55

purposes. Okay. And this these uh

108:58

informations are very crucial for the

109:00

companies. So even they can conclude

109:02

many things from this data because uh

109:04

data analytics becomes very smart. Okay.

109:07

So uh suppose uh by analyzing this data

109:13

uh they can conclude that uh they can

109:17

able to identify your interest. Okay

109:20

that in which in what type of places you

109:22

are interested okay maybe you uh you are

109:27

interested in you're very foodie type of

109:29

person and you regularly visit one

109:32

restaurant or eat some same type of

109:35

food. So what happens they uh the system

109:38

will ultimately gives you the

109:40

suggestions that you can visit these

109:41

places and they can send you some

109:44

personalized advertisement to you. Okay.

109:47

So companies are misusing this data

109:49

continuously for their own purposes.

109:51

Okay. Even you can find that uh suppose

109:54

you are looking for uh [clears throat]

109:56

in your computer systems or in your

109:58

mobile uh you have uh find some mobile.

110:02

Okay you are searching some mobile. So

110:05

what happen that the system is so much

110:07

expert that he is able to guess that if

110:10

you are watching something means you are

110:13

interested in buying that mobile phone.

110:15

You'll find the advertisement of mobile

110:17

phones everywhere. Suppose you are

110:19

watching some news and in the news

110:21

itself that that mobile phone

110:23

advertisements are there. Okay. So you

110:25

are you are reading some news, you are

110:27

uh reading some articles, you are

110:29

reading your emails. Okay. and the

110:31

pop-up menus everywhere they are giving

110:34

you the advertisements related to some

110:36

mobiles. Okay. So in this way they are

110:40

continuously tracing you and tracking

110:41

you and uh giving you some personalized

110:45

information. Okay. Which are uh very uh

110:49

important for you. Okay. And which

110:51

actually you are looking for. Okay.

110:53

That's why they are uh tracking you

110:56

ultimately. Okay.

111:00

So these are some definitions

111:03

[snorts] or you can say that uh these

111:05

are some hierarchy. Okay. Let me once

111:08

again start from the data. This we have

111:11

already discussed. You can see it's a uh

111:14

smallest individual unit of our data

111:17

DBMS. Okay. So the the uh you can say

111:21

that uh at the lowest level. Okay. So it

111:25

becomes the fundamental unit. Okay, you

111:29

can see like if you have seen a big uh

111:32

building. Okay, so that building is made

111:35

up of uh maybe huge buildings. Number of

111:39

floors are there, number of rooms at

111:41

every floor. Okay, but ultimately what

111:44

is the foundation? The foundation is

111:46

bricks. Okay, so by arranging the number

111:50

of bricks in some manner, you have

111:53

created a big building. Okay. So

111:56

likewise for a complete database

111:59

ultimately what is the basic building

112:01

block? What is that brick? The break is

112:03

data. Okay. So the fundamental and basic

112:07

individual unit at the end at the end of

112:10

that hierarchy is a data. Okay. So when

112:13

we arrange record that data into some

112:16

order. So it gives you lot many

112:20

important informations.

112:22

Okay. So ultimately we can collect this

112:26

these same type of datas

112:28

and arrange these datas into some order

112:31

and create the database.

112:33

So the next level is what the next level

112:35

is database. So after data

112:39

the next point which we discuss is

112:42

database. So you have heard this uh uh

112:46

this uh terminology

112:49

uh at many places. Okay. What is the

112:51

difference between that data or

112:53

services? So in short you can say that

112:57

database is a collection of data or

113:01

related data. Okay. Suppose I'm saying

113:05

the maybe you have heard this uh

113:08

sentence many times that database of

113:11

student, database of employees, database

113:14

of bank. Okay. So in short what is that

113:18

database of student? It means we are

113:21

trying to say that [clears throat] it's

113:23

a collection of uh data

113:27

related to students.

113:29

Okay, that's why one word has been

113:31

mentioned here the related. Okay, so if

113:36

data is not related, so what is that

113:37

meaning? There's no meaning for that.

113:39

Okay, so we cannot create a table uh uh

113:43

containing everything student, employee,

113:47

banks information and everything. So it

113:49

is meaningless. Okay, normally what

113:51

happens that when we create the

113:53

database, okay, so that database is

113:57

related to some common area. Okay, so if

114:00

I'm saying student database, so all

114:02

information related to that student. If

114:05

I'm saying employee, so related to that

114:07

employee specifically. Okay, employee

114:10

number, employee ID, employee name,

114:12

employee address, employee salary,

114:13

designation, department. Okay, so many

114:16

things related to that uh employee.

114:19

Likewise if I'm saying student so all

114:21

information related to that student like

114:22

student number student name student role

114:25

number student marks student percentage

114:28

student course okay not many things

114:30

related to that student but what happens

114:33

that in database there is no one entity

114:38

involved okay so actually it's a

114:42

collection of number of tables

114:46

okay so after collecting Okay, number of

114:49

tables it become complete database.

114:52

Okay, it's not one table. So number of

114:55

tables are there. Getting this? But the

114:58

fundamental aspect is what? Data. Got

115:01

this or not?

115:07

[snorts]

115:11

So into this hierarchy is that two

115:13

levels are clear.

115:16

Okay. So if I'm saying that not

115:20

[clears throat] one table so number of

115:22

tables are there. Okay. Like if I'm

115:24

saying that suppose you are I'm talking

115:26

about the employee database. Okay. So

115:29

employee database is not consist of only

115:31

one table. Suppose let me once again

115:34

take the very simple okay. So throughout

115:37

this discussion we try to uh concentrate

115:41

on one or two examples. Okay. And

115:43

explore this example by using different

115:45

applications. Okay. So if I'm saying

115:47

that suppose student if you are

115:49

maintaining the data of student okay so

115:52

can you imagine that if you are uh

115:56

maintaining the database for school or

115:59

college so student uh table is more than

116:03

sufficient.

116:06

Okay. So one column you are saying that

116:08

name one column for role number. Okay.

116:13

one column for phone number or mobile

116:16

number and so on.

116:21

So if I'm saying database

116:24

so only one table is more than

116:26

sufficient student table [gasps]

116:32

one table is capable of maintaining all

116:34

the data related to that student.

116:40

What do you think?

116:42

Enter the database

116:46

only one table is there.

116:53

Second table for all the classes. Okay.

116:57

Anything else?

117:06

No. only one table is not sufficient.

117:11

Okay. Number of tables are required.

117:14

Okay. Like for example, if I'm saying uh

117:18

you are preparing the database for

117:20

college. So what you require? You

117:23

require to maintain the data related to

117:25

that student. So what table I'm showing

117:29

it is the personal information of the

117:31

student. Okay. So you can imagine it

117:34

like all the department of that that

117:38

college is maintaining their own data

117:41

like if I'm saying the admission

117:46

department

117:47

admission department maintaining their

117:50

own data okay means maintaining their

117:53

own table

117:54

so

118:01

I w has been given a answer in a very

118:05

long list. Okay. Yeah. Uh you can say

118:09

the relevant answers there. Okay. So I'm

118:12

just explaining it. So I'm [snorts]

118:14

saying that suppose admission team or

118:17

department is there. So admission

118:20

department is maintaining their own data

118:23

based on the students approaching to

118:26

that. Okay. It's totally different.

118:30

Admission table is different from

118:32

student record table because all the

118:36

students who have approached to the

118:39

admission department cannot say that all

118:42

of them has been taken the admission.

118:45

Maybe 100 student approached and out of

118:47

them only 50 students have been taken

118:49

the admission and 50 students are not

118:52

interested. Okay, this is also possible.

118:56

So the table you are maintaining for

118:58

admission will be totally different from

119:01

student table. Okay. So in the admission

119:04

table you require many informations

119:08

which are specifically important for

119:10

admission purposes like normally we uh

119:14

mention the admission number. Okay.

119:19

uh the way we are collecting the

119:21

information maybe we are collecting the

119:24

fees through uh check number or demand

119:28

draft or online okay internet banking

119:32

number somewhere so have you found this

119:34

internet banking or check number in

119:36

student table

119:38

there is no meaning of that check number

119:40

or DD number or inter bank intern

119:43

banking number in the student table no

119:46

meaning okay but in admission

119:49

uh table. It is very much important

119:52

until if student is not uh filling the

119:56

fees. Okay. Not depositing the fees. So

120:00

it will not be uh uh you can say that

120:03

Janu

120:06

means the uh admission is not finalized.

120:09

Okay. Suppose you are taking some uh

120:13

internal exam. Okay. So in order to take

120:17

the admission you are taking some

120:19

entrance exam. So the entrance exam

120:23

related information like entrance date

120:26

of exam

120:28

or the number you have got in entrance

120:30

date the merit list. Okay this is

120:33

there's no purpose of that information

120:35

in student table. Okay. Likewise

120:40

if you are running the library in your

120:43

college. So the library table is

120:45

different. Okay. Library is maintaining

120:47

the room data. But library is

120:50

maintaining that how many books you have

120:52

issued. Okay. How many books you have

120:54

returned and if you have not returned

120:58

the books on time. So maybe they have

121:00

imposed some fine on you. Okay. So this

121:03

type of information they have

121:04

maintaining in different table. Likewise

121:08

if I'm saying uh examination department.

121:12

So examination department is maintaining

121:13

their own table

121:15

based on your semester your number of

121:18

subjects. Okay. Uh the practical

121:21

subjects, theoretical subjects and even

121:24

the exams they are conducted in various

121:27

stages. Midterm exam, endtime exams.

121:30

Okay. report exams, report submission

121:34

marks. So that table is totally

121:37

different. Likewise, number of tables

121:39

are there. Transportation,

121:41

uh, mass, uh, hostel, a room wise, okay,

121:46

timetable.

121:48

So it means what I'm trying to say that

121:52

if you are developing the software for

121:56

college or university so that college

121:59

database is not made up of single table

122:04

that database is basically collection of

122:08

number of tables which are actually

122:11

interrelated. This is very much so

122:14

interreation is important

122:17

goddess. Now have you got the idea about

122:19

database?

122:20

Database is not one table. So whenever

122:23

we will use this terminology in normal

122:28

discussion in our normal life. So please

122:31

do remember.

122:33

So database doesn't mean that one table

122:36

is there. It's a collection of table and

122:39

all the tables are inter.

122:41

Is that clear to you or not? Please tell

122:44

me.

123:05

Okay.

123:07

So, two things we have cleared.

123:10

The fundamental building block is data.

123:14

Okay.

123:15

And although we say that the collection

123:18

of related data becomes database but uh

123:23

in technicality man because we are

123:25

learning the DBMS okay so detailed

123:29

discussion is there. So in technicality

123:32

so database is collection of number of

123:35

okay

123:37

and number of intell. Now what left?

123:41

Okay what is left now about DBMS? So

123:45

what is that DBMS?

123:47

Okay so we have learned many things we

123:51

we learn data we learn table and number

123:54

of table and inter table. So what is

123:57

left now? Okay. So the left now is DBMS.

124:02

Okay. So the full form as usually it

124:04

says that it's a database management

124:07

system. Okay. And it's a system and

124:11

system includes many things. So let me

124:14

clear first of all that what system is

124:17

like if I'm saying

124:20

organization. Organization is a system.

124:24

Okay. Consisting of employees.

124:28

Maybe it's a manufacturing company. So

124:30

it has number of departments, it has

124:32

machines, it has computer systems, it

124:36

has building, it has vehicles.

124:40

So all together you can see it's a

124:42

system. Okay, system is not alone.

124:45

Likewise, if I'm saying computer system,

124:48

computer system, why it's a system? It's

124:50

a collection of input output devices,

124:52

software, operating system, display

124:55

device, hardware, processor, RAM,

124:58

memories.

124:59

All units are working together in

125:02

coordination in coordinating way. That's

125:04

why it's a system. It's not a single

125:07

thing. Okay? It's a collection of

125:09

various components.

125:12

Okay? Likewise, it's a system. Okay? And

125:16

it contains many things.

125:19

And what are these things? Things the

125:22

very much important is when I'm talking

125:24

about the data when I'm talking about

125:25

the tables. So you need some platform

125:29

where you can save that data. So that

125:33

the part the component of that data or

125:36

that system is the hard disk, the memory

125:40

which is used to store your data

125:44

permanently.

125:45

Okay, that becomes the part. So DBMS is

125:49

what first of all you can define

125:52

whenever you define DBMS so you can use

125:54

that word it's a general purpose

125:58

software system okay it's not a single

126:01

table but it's a software system it's a

126:04

general purpose software system

126:07

responsible to perform operations on

126:10

that database okay so you have

126:13

maintained that database you have stored

126:16

that database

126:17

But when I'm asking to fetch some

126:22

particular information so who can fetch

126:24

this and every time I'm changing my

126:28

query like I have told you that I'm

126:31

interested in and how many students have

126:33

taken admission today how many admission

126:36

has been uh from the computer science

126:38

how how many from the management okay so

126:41

every time I'm quaring in different

126:43

different forms and Maybe

126:47

to fetch some information require

126:50

uh more than two tables. Okay. If I'm

126:54

saying for example

126:57

uh you haven't uh uh means return one

127:01

book from last many years. Okay. You

127:06

have issued two books and you have not

127:08

returned it even after a complete year.

127:13

So what we do I will fetch this

127:17

information

127:18

from the office or from the uh

127:23

examination. So I'm having doubt that

127:26

maybe that person leave the college

127:30

maybe that person got failed and he has

127:34

leave the college that's why he is not

127:36

returning back the books. Okay. So we

127:39

will confirm it from the examination

127:43

department. Okay. So what information I

127:47

am having? I'm having one data that is

127:50

student number or student ID. Student ID

127:54

is common among all. So I am having the

127:57

student ID. So I by using the student ID

128:00

I will ask the exam department please

128:03

cross check whether that student has

128:05

been passed or not. I use this student

128:08

ID and cross check from the office

128:09

department uh that this student has been

128:12

submitted the fees for the next year or

128:14

not. Is that a valid student still or

128:16

not? Okay. So in this way uh we normally

128:21

fetch the information by joining number

128:24

of tables together. Okay. So the

128:28

information cannot be fetched alone from

128:31

a single table. Sometimes we have to

128:33

join the number of people. The same way

128:35

for that purpose you require special

128:37

purpose softares special purpose

128:40

software I'm saying but it's a special

128:41

purpose program will help you to uh

128:46

fetch the information in a

128:47

well-coordinated manner. Okay. So that's

128:50

why DBMS is a complete general purpose

128:54

software. Okay. not a single thing and

128:57

it will gives you the idea that how you

129:00

can store this tables on the hard disk

129:03

in what forms okay how much amount of

129:06

memory a particular record is going to

129:09

be take in the uh memory system okay so

129:14

how much amount of memory block is

129:16

required to store every record okay

129:18

record means I'm talking about the

129:20

entire room okay so how we can store

129:23

this I'll take the backups

129:26

Okay. So at the same time we want to

129:29

secure my data. Okay. At the same time I

129:33

will be very conscious about that uh

129:37

maybe in uh upcoming days

129:40

that that data may be lost okay due to

129:44

any type of errors maybe system errors

129:47

hardware failures network failures or

129:49

maybe by natural disasters. So I'm in

129:52

doubt that this data may be lost. So I'm

129:57

continuously taking the backups of that

129:59

data. So who will do this? Okay. And

130:04

nowadays we are trying to develop such

130:06

kind of systems who are taking their own

130:09

decisions and doing all this

130:11

automatically. Okay. So means the same

130:14

time we have to secure this data. We

130:17

have to take regular backups. we have to

130:20

uh uh store these datas properly. Okay.

130:24

And uh whenever we need the information,

130:27

we have to join the multiple tables.

130:30

Okay. So for that purpose, we require

130:32

this some type of programs. Okay. Which

130:36

will help you and even uh we will not

130:39

allow everyone to uh means access this

130:43

data. Okay. So you should have to

130:45

provide the authorizations.

130:48

Okay. Yeah, online or offline patterns.

130:51

Yes, both are important. Okay, so we

130:54

have to provide the proper authorization

130:56

that those who can use that data and

130:59

those who is not allowed to use this

131:01

this data. Okay, login ID passwords

131:03

providing login passwords, okay,

131:06

authentication, authorizations, uh

131:08

securities, backups, okay, and fetching

131:12

of different informations. So likewise

131:14

we have to create the complete system

131:18

for that. Okay. And that system is

131:20

called DBMS. Okay. Got this? Any

131:24

confusion? Any doubt? Any doubt?

131:29

Any confusion? Any doubt?

131:34

Any question?

131:39

Okay, that's great. So, it's time to

131:41

take one more break here. It's a second

131:43

break. So as usually one break we have

131:46

taken uh just one hour back.

131:51

Okay. So I'm keeping my slide as it is

131:53

in front of you. Okay. Uh meanwhile you

131:55

can read this and still if you are

131:57

having any doubt please I will take

132:01

questions just after 15 minutes. Okay.

151:24

Okay. So welcome back once again.

151:29

So a lot many

151:32

support are from various sites.

151:36

So are we able to download this through

151:38

these links or not?

151:44

links are available but whether it is

151:47

downloadable or not it's better

151:51

[clears throat]

152:01

please do not create separate links

152:06

Nazi Ali

152:09

this is not recommended Okay.

152:15

So if you are having already you are

152:17

having the official group so do not make

152:21

such kind of groups. Okay.

152:24

So delete it this message immediately.

152:30

So you are having your own uh official

152:32

group where you are getting the official

152:34

informations. Okay. So such kind of uh

152:39

uh separate groups may create the

152:41

confusions sometimes. Okay. So uh treat

152:46

the information final

152:49

if it is received in your official

152:51

group.

152:53

Okay. So uh because uh some of the

152:59

uh students are uh already working

153:02

somewhere they are busy with their own

153:04

works and you are taking the classes

153:06

online. So there is a very much

153:09

importance of uh your official group. So

153:12

official group is very useful for uh

153:15

doing communication some official

153:17

communications important dates important

153:20

instructions policies and uh and

153:23

notices. Okay. So be do follow this

153:27

official group along with your portal.

153:30

Okay. So the utmost important is your

153:33

portal. Okay. So ultimately the final uh

153:37

uh information the authentic information

153:41

or information source is your uh college

153:44

portal. Okay. Or website. So after that

153:47

the same information you can pass to

153:49

your official uh groups like uh maybe a

153:54

viber group and telegram group is there

153:56

telegram group is there okay it's a

153:58

official group so do join this and those

154:02

who still not got the message to join

154:05

this telegram group so hopefully they

154:07

will shortly receive and you should be a

154:10

part of that group okay so in that group

154:14

you can discuss all your feelings and

154:16

your informations. Okay. So coming back

154:19

to our discussion.

154:21

So as I told you that uh we have discuss

154:25

a complete hierarchy. Okay. Order. So we

154:28

have started discussion from data and as

154:32

I told you that if we discuss this

154:34

concept with respect to this hierarchy.

154:37

So data is a very fundamental and uh uh

154:40

you can say that individual the last

154:43

components of the entire complete DBMS

154:46

system. Okay. So the ultimately the

154:48

entire DBMS system is dependent on that

154:51

fundamental aspects. Okay. So this uh

154:56

combinations and uh collection of data

155:02

makes table. First of all it makes

155:05

records. records makes tables, tables

155:07

make databases and database makes DBMS.

155:10

Okay. So it's a complete order like if

155:12

I'm saying that uh this is a table okay

155:16

so in this table the number of columns

155:20

are there. Okay.

155:23

And uh if I'm saying the record like the

155:27

record of a complete student is called a

155:29

row. Okay. So complete row is called

155:32

what? Record. Okay. I'm saying like want

155:36

to fetch the record of student number

155:38

101.

155:39

Okay. So it's a complete row.

155:43

So one row is one record

155:46

and uh out of that record one cell.

155:51

Okay. This is a cell which is

155:53

maintaining one data. Okay. which is uh

155:58

not breakable like mobile number or uh

156:03

phone or sorry uh student ID. Okay. So

156:06

this data is what means every cell is

156:11

individual data

156:13

and table is what collection of these

156:16

cells. Okay. So in this way data the

156:19

collection of data makes records. The

156:22

collection of records makes table.

156:26

collection of table makes uh database

156:30

and the after that database the uh at

156:35

the highest level we are having the DBS

156:37

okay so in this way we can make a

156:40

complete hierarchy where is my okay so

156:42

in short I'm writing because it is very

156:44

difficult to write the complete word so

156:47

we we are starting with data okay so the

156:51

collection of data makes what records so

156:54

what is records

156:56

records is a row complete row. Okay,

156:58

like I'm saying that record of a student

157:01

ID uh 101 okay so collection of uh data

157:06

makes records and uh collection of

157:09

records makes table okay and collection

157:12

of table makes what?

157:17

Collection of table makes database.

157:20

Okay. And all this database is being

157:22

managed by DBMS.

157:26

Okay. So this is the complete ordering

157:31

got this find out related to this.

157:35

This order we are following data record

157:38

table database and DBMS. Okay. So coming

157:40

back to DBMS as I told you that DBMS is

157:43

uh the word attached with that DBMS is

157:46

system. Okay. So as I told you system is

157:49

basically consist of different

157:50

components like if I'm saying that

157:52

government is the system. Okay. So

157:54

government how government is actually

157:56

made up of? It's made up of defense

157:58

department, financial department or uh

158:02

education department or uh

158:04

transportation department. Okay. So in

158:07

this way different departments

158:08

altogether make a government. Government

158:10

is a system. I'm saying organization.

158:13

Organization is a system. Okay. So in

158:15

the organization we are having sales

158:16

department, financial department and uh

158:20

uh procurement department okay

158:23

manufacturing unit. So all these

158:25

departments all together make a complete

158:27

organization okay so system. So likewise

158:30

DBMS is a system. So what are the parts

158:32

of the system? So the component parts of

158:34

their systems are what? One system is

158:36

responsible for security another for au

158:38

authentications and another is for

158:41

taking backups or uh uh providing the

158:46

recovery mechanisms. Okay. And uh

158:49

responsible for uh storing the data.

158:52

Okay. Storage management. Okay. So these

158:56

are all these components and all these

158:58

components actually meet the DBMS. Okay.

159:01

So DBMS uh in short as I told you that

159:04

whenever you define the DBMS say the

159:07

general purpose software okay

159:09

responsible for maintaining the data

159:13

okay so maintaining is uh almost

159:16

contains

159:18

uh all the words in short okay let's see

159:21

what they are saying they are saying

159:23

DBMS contains information about

159:25

particular enterprise as a collection of

159:27

vintage data set of programs Okay. And

159:32

environment that is both convenient

159:33

efficient to use. This is some small

159:35

definition

159:37

not the definition. This is the idea.

159:39

[clears throat]

159:40

U in the upcoming

159:42

PB I'll discuss the uh actual

159:46

definition. Okay. But from this you have

159:49

got the idea that it's combination of

159:51

data and the associate programs.

159:53

Programs means here the program is being

159:56

replaced by the queries. Okay. So let's

159:58

see the definition. Okay, this is one

160:02

example. This example we have already

160:04

done. Okay, university database. So if

160:07

I'm saying the database, so it's not

160:09

only consist of one table. Okay, it's

160:12

consist of many tables. Okay, so like uh

160:16

student table instructor mean faculty

160:19

table. You can see the data about the

160:22

faculties. Okay, so faculty name,

160:24

faculty ID, faculty specialization.

160:27

Okay. So number of things are there you

160:30

can store related to faculty's courses.

160:32

Number of courses are there. Course ID.

160:34

Okay. And duration of that course. So

160:36

these are the attributes of the courses.

160:39

Okay. So the operations you are

160:41

performing on that data is register

160:44

students for courses. Generate class

160:46

roers. Okay. Class roers means a time

160:49

intervals. Okay. These are the

160:51

operations you are performing that data.

160:53

assign grades to students and compute

160:55

grade point averages and generate

160:57

transcripts. So uh these are the uh you

161:01

can say the uh the tables okay along

161:06

with the operations you are performing

161:08

on that tables. Okay. So these are the

161:10

application program examples.

161:12

These are the application program

161:13

examples which we can perform on the

161:16

university database. Okay. So we can add

161:19

new students. We can add new

161:20

instructors, new courses. We can uh new

161:24

students can take the admissions. So we

161:26

can register the new students. We can

161:28

generate the timets. Okay. We can assign

161:30

the grades points based on their

161:32

performances, provide the GPA and

161:34

generate transcripts. Okay. So these are

161:37

university database example. Okay.

161:40

Applications we can perform.

161:43

Now let's see that what are the database

161:45

applications. Okay. So uh these are some

161:49

areas where we can implement this data

161:52

databases. So although uh almost in all

161:56

the areas without database we cannot

162:00

work because actually it is fueled by

162:02

data. Okay. But let's take one some

162:05

examples just to remember and just to

162:07

write in your exams as well. Okay. So,

162:10

banking, airlines, unities, sales,

162:12

online retailers, manufacturing, human

162:14

resources. But along with that, you

162:17

should be able to know that what type of

162:21

uh uh operations we should have to

162:24

perform on that data. Okay. Along with

162:26

that, so you should have some rough idea

162:28

about that how many tables are possible

162:30

or how many operations possible. Okay.

162:33

So uh in banking if I'm saying that you

162:38

are maintaining the uh data of customers

162:42

accounts okay and uh debit and credit

162:45

records

162:47

and operations like transactions okay so

162:51

in banking system technically it is

162:53

called transactions. So when you are

162:57

generating the statements, you are

162:59

depositing money, withdrawing money,

163:01

these are called transactions. Okay?

163:03

These are some operations which we

163:04

perform on banking. Like if I'm talking

163:06

about the airlines, okay, so maybe we

163:10

are maintaining the table of uh

163:12

customers. Okay. So and uh tickets are

163:17

uh in airlines we are maintaining the uh

163:22

table of number of uh the aeroplanes

163:28

okay flight through flight numbers we

163:31

are maintaining the time table of that

163:33

flights the route of that flights okay

163:36

along with that the process which we are

163:38

applying on the uh on these tables the

163:41

reservation process okay ticket booking

163:43

process

163:45

uh we are checking the schedule routes

163:47

of the flights. Uh we are checking the

163:50

time table whether the flights are on

163:52

time or not. Okay. These are some

163:54

operations we are performing like

163:56

university we have done our blog

163:58

discussion on that sales. Okay. In sales

164:01

data uh we are maintaining the uh

164:04

records of customers. Uh we are

164:06

maintaining the records of products.

164:08

Okay. and uh number of products those

164:11

who are purchased. Okay. And we can

164:13

perform number of operations like profit

164:15

and loss accounts we can maintain. Okay.

164:17

So on the basis of the transactions we

164:20

have done we can finally calculate that

164:22

uh at the end of month we have got the

164:24

profit or loss. Okay. These are the

164:26

operations like online returners.

164:29

So number of tables we can maintain like

164:32

first of all very important is order

164:34

tracking. Okay. So if you have placed

164:37

some order so where your order is so you

164:41

can trace that order for that purpose

164:43

you can maintain the table okay so

164:46

tracing or tracking the order uh by

164:50

using the order numbers okay or this is

164:53

the operation as well okay and uh

164:56

customize the recommendations

164:59

uh some uh people are giving the uh

165:03

ratings to particular product Okay. Uh

165:06

after using that uh product they are

165:09

sharing their feedbacks in the form of

165:12

ratings. Okay. So on the basis of

165:14

ratings systems are recommending you

165:17

products. Okay. These operations we can

165:19

perform in manufacturing number of

165:21

tables are there and operations are

165:23

there. You're maintaining the inventory

165:26

maintaining the productions. Okay. Uh

165:29

you are placing the order. Okay.

165:32

Maintain the supply chain management. So

165:35

uh what I'm trying to say that these are

165:38

the base for your reports as okay. So

165:42

ultimately if I'm saying that at the end

165:44

of the uh all one and all two at the end

165:48

of this uh task one when it's going to

165:52

be and so at that time you have to work

165:55

on some report okay or in between as I

165:59

told you that every discussion is very

166:00

important. So from these areas you can

166:04

pick one of the area as a problem and

166:08

you can create your own report. Okay. So

166:12

the area is unlimited. So in DBMS you

166:16

can make the uh database or make a

166:20

report

166:22

uh keeping in mind you can make the

166:23

report for banking problems, airline

166:26

problems, university problems, sales

166:28

problem, retailing, manufacturing, human

166:30

resources. Okay. So out of them you can

166:32

pick one of the problem and create your

166:34

projects as well. Okay. So this is one

166:37

idea that what you have to do in your

166:40

reports. Okay. So you have to make some

166:43

database solutions from some real life

166:46

problems. Okay. The problems which is

166:49

around you. Maybe it's very advantageous

166:52

if you can able to pick the problem from

166:56

your own organization. Okay. Because the

166:58

organization is well known to you. the

167:00

problem you are uh uh are well aware

167:04

okay so you can give this solution for

167:06

your own company

167:09

okay or maintain their own data likewise

167:11

so it will be beneficial if you can able

167:14

to take your own example okay or

167:17

although if you are not having you can

167:18

pick uh any problem out of them okay

167:26

now the important point

167:29

the crux of today's discussion. Okay,

167:34

the concluding point. Now let's talk

167:36

about the DBMS. Okay, so whenever we

167:39

define DBMS as I told you that how we

167:42

should have to define start defining it.

167:45

So we should have to start defining it

167:47

by collection of programs. Okay. So

167:51

obviously if I'm saying it's a system,

167:54

it's a software system, a general

167:55

purpose system. So it's basically a

167:59

collection of programs because software

168:01

itself says that software definition of

168:04

software itself says that it's

168:06

collection of programs okay that enables

168:08

users to create and maintain a database.

168:11

So it allows you environment where you

168:13

can create the database maintain a

168:15

database okay and the primary goal of a

168:18

DBM is to provide a way to store and

168:20

retrieve database information that is

168:21

both convenient and efficient. Okay. So

168:24

in short one more definition is this we

168:28

have already discussed DBMS is a general

168:30

purpose software system. Okay that

168:33

facilitates the process of this is the

168:36

concluding points. Okay.

168:39

So it provides you of the environment

168:44

where you can define construct

168:47

manipulating and sharing the data. Okay.

168:51

This is very much important.

168:53

So out of them

168:56

this part is important.

168:59

>> Okay.

169:01

So uh let us discuss uh all the points

169:04

one by one. So in one definition you are

169:08

saying that it's a collection of

169:09

programs. Why I'm saying collection of

169:11

programs? Because it's a system and uh

169:15

because of s and uh better you can say

169:18

it's a software system. Okay. Obviously

169:23

Oracle is what? It's a general purpose

169:25

software software. Okay. Above after the

169:29

operating system, the next level is your

169:32

Oracle. Okay. So, and software is

169:35

basically what collection of programs.

169:37

So, in short, you are saying that it's a

169:39

collection of programs. But what that

169:41

program is doing?

169:43

It helps you in creating the data. Okay?

169:47

It helps you in creating the tables and

169:50

maintain that data or database. Okay. So

169:53

it contains everything. Okay. It allows

169:56

you to maintain the database. So it

169:57

maintains means fing of information,

170:00

inserting of information, saving all the

170:02

tables, uh saving on the memory and

170:05

whenever needed you are able to fetch

170:07

this. Okay. So maintenance include

170:09

everything. In another word you are

170:11

saying primary goal of DBM is to provide

170:13

a way. It provides you the way so that

170:17

you can store the data, retrieve the

170:20

data whenever needed. Okay. Retrieve

170:24

information like I I told you that I I'm

170:26

interested to fetch the information of

170:29

those employees who are specifically

170:31

working in computer science department.

170:33

Okay. I am interested in uh fetching all

170:36

those information all the information of

170:39

all those employees who have joined

170:40

after 2025.

170:43

Okay. So in this way I'm interested in

170:47

fetching some specific information

170:51

retrieving some specific information.

170:53

Okay. So uh this DBMS allows you to

170:57

retrieve the information in some

170:59

specific order. Okay. So the last one

171:03

very important it's a general purpose

171:05

software that facilitates these things.

171:09

Okay. So defining constructing

171:11

manipulating and sharing. So what it

171:13

means this is very much important. So

171:16

can you say can you say or can you tell

171:18

what do you mean by that defining define

171:20

your database? Anybody who can explain

171:22

what do you mean by defining

171:26

defining the database? by this

171:33

creating. Okay.

171:39

Schema. Okay. Good.

171:47

If you are uh uh

171:50

saying [snorts] the schema

171:52

so uh it means you're having some of the

171:55

idea what the DB is.

171:59

You're using such kind of technical

172:00

words.

172:13

[clears throat]

172:21

creating the blueprint. Okay,

172:26

model.

172:29

[laughter]

172:35

Okay. [clears throat]

172:37

So without making it very complicated

172:40

I'm saying that if I'm saying defining

172:43

so as we have started or as we have

172:47

discussed about the hierarchy as I told

172:49

you hierarchy start from data. Okay. So

172:55

when from the previous semester you or

172:58

if you have uh learned about any

173:01

language

173:02

so language

173:04

uh in any language if you are preparing

173:07

a program

173:09

so in every program suppose if you are

173:11

using any variable

173:14

so before using that variable you have

173:15

to define it

173:18

okay declare it isn't so in previous uh

173:22

semester we have learned about the

173:24

programming C. So as I told you that

173:27

suppose you are using A B C variable. So

173:30

you have to define it first

173:33

whether is of it is of integer type of

173:35

float type or character type. Okay. So

173:38

defining deals with that.

173:41

So every smallest

173:45

data you are maintaining. So before that

173:48

you have to define this when saying

173:50

student ID. So you have to define that

173:54

you are defining that student ID is of

173:57

integer type.

173:59

Okay. So because normally role number is

174:02

available in

174:04

number. Okay. So we are saying that

174:07

student name.

174:09

So you are defining that student name

174:12

should be of character type.

174:15

Okay. If you are declaring one attribute

174:19

like salary. Okay. Salary should be

174:22

number,

174:24

isn't it? Or a floatingoint number or

174:28

fractional. Maybe uh one person is

174:31

earning some uh $1,000.

174:36

$1,15.

174:38

$1,15.

174:41

Okay. So it may be the final uh

174:47

the number that got getting in uh

174:51

fractional part. Okay. So defining deals

174:54

with that. So if you are declaring a

174:59

table you should have to define it. How

175:02

many attributes are there?

175:05

How many uh means attributes means like

175:10

columns. Okay. Student ID, student name,

175:14

mobile number, address. Okay. Likewise,

175:17

how many columns are there? How many uh

175:22

different attributes are there? Okay.

175:24

This you should have to define and every

175:27

attribute type is also

175:29

whether it's a uh character, number

175:33

or anything else. Okay. Or floating by

175:37

number etc. So this is called defining.

175:40

So before using any data any table first

175:44

of all define it. Is that clear?

175:56

Okay. Now what about the constructing?

176:01

So constructing deal with you are saying

176:05

after creation

176:08

after creation creating the blueprint

176:11

structure okay so when I'm saying that

176:14

you are storing now you are storing the

176:16

data you are filling the records okay so

176:21

how that records should be saved in

176:24

memory

176:26

how much amount of space is required to

176:29

store every card.

176:31

Okay. How it will be stored in memory in

176:36

the form of blocks.

176:38

Okay. In the form of actual memory. So

176:41

sometimes what happen as you know that

176:45

in computer science or computer systems

176:47

also we are using the uh the order okay

176:51

hierarchy of memory. Okay. So at the you

176:55

can say at the top level what we are

176:57

having we are having cache memories okay

177:01

CPU registers after that cache after

177:03

that main memory after that secondary

177:05

memory okay so if I'm saying that your

177:10

data or your record at in the main

177:12

memory itself okay so how much amount of

177:17

uh space that record is actually taking

177:20

in main memory how much amount of total

177:23

space is required for that table within

177:26

the secondary memory. Okay. So,

177:29

construction deal with this.

177:32

Construction is saying that how much

177:34

amount of block of memory is required

177:37

for every record should be same. Talk

177:40

about uh one table as you know one table

177:44

the number of columns are fixed. Okay.

177:48

It may be that five, six, 10 columns are

177:50

there and one record means one row.

177:55

Okay. And every column data type is

178:00

already fixed. Okay. So fixed amount of

178:03

space is required to store

178:06

one record whether you are entering it

178:09

or not but it should be reserved okay in

178:12

advance by the system. So that is

178:15

construction. construction deal with

178:17

that how actually we construct the

178:20

database on ground and that ground is

178:23

memory. Okay, is that clear?

178:33

The next one is manipulating. and

178:36

manipulating once again it's a

178:39

uh terminology which we used in case of

178:44

DBMS like one terminology we have

178:46

already used as I told you transactions

178:49

okay we normally use word transaction in

178:54

case you are performing the banking have

178:57

in banking if someone is saying that uh

179:00

I'm doing the debit processing or credit

179:04

processing Okay. So, banks always

179:09

say it like transaction. Okay. So, there

179:13

you are performing the withdrawal

179:14

transaction or deposit transaction.

179:16

Okay. So, in banking it is we we

179:20

normally use this word of transaction

179:23

not processing. Okay. So why

179:25

transaction? Because it actually deals

179:28

with the uh fetching or retrieving of

179:31

information from the database. So

179:33

whenever we are interacting with

179:34

database we call it transaction.

179:36

Likewise one more word that's

179:38

manipulating. Manipulating means in DBMS

179:41

it is called modification. Okay. So

179:44

manipulation is a synonym word of

179:46

modification. Okay. So uh by using the

179:50

DBMS we are allowed to uh define the

179:55

data. Okay. means defining in the form

179:58

of uh data types in short you can uh

180:02

learn like if I'm saying that your

180:05

attribute is of integer type float type

180:07

or number type okay or character type

180:11

constructing means how it will going to

180:13

be reflected on your memory okay how it

180:16

is going to be used or save into your

180:18

memory manipulating means allows you to

180:21

modify the records okay maybe you have

180:24

forgot to enter the address so later on

180:26

you can Right? Maybe you have entered

180:28

some wrong entries. You can modify it.

180:31

Okay, that modifications may be

180:34

applicable on the structure of the table

180:36

and the records itself. Okay, your

180:39

mobile number has been changed. So, it's

180:41

called manipulation. Okay, sharing.

180:44

Sharing is very important. Okay, so

180:46

ultimately what happens that if whatever

180:48

you have uh developing uh if you are not

180:51

able to share your information with

180:53

other devices, so there's no meaning of

180:55

that database. Okay. So you have

180:57

developed a huge database you don't want

181:00

to share it with others. Okay. So there

181:02

is no meaning of that. So sharing is

181:04

very important. So DBMS allows you such

181:07

kind of environment so that you can

181:09

share your tables your information with

181:11

others. Okay. Obviously we are sharing

181:14

being a customer bank share my own

181:17

information with me. Okay. Out of that

181:19

number of uh customers my information

181:23

personally fast and it is displayed to

181:25

me. Okay. So this is what sharing of

181:27

information.

181:29

Okay. So sharing is very so this is the

181:32

crux for your DBMS. So DBMS is basically

181:36

designed to facilitate but defining the

181:38

data, constructing data, manipulating

181:39

the data, sharing the data. Okay, this

181:42

is very much important. Let's see in

181:44

detail as well. You can see here read

181:46

this, understand this. For that we are

181:49

giving I'm giving you two minutes of

181:50

time. Read this, understand this. And if

181:53

you are in doubt you can ask me.

181:57

Please read it carefully.

182:06

You want Oh,

183:16

Okay. So this is what exactly what we

183:19

have discussed as I told you that's

183:22

defining means what

183:24

specifying the data type. Okay. So

183:28

whatever the individual columns or

183:30

attributes you are using you have to

183:32

define it. Okay. can define in many

183:34

sense like if I'm saying student ID so

183:37

the data type of that ID the range of

183:41

values you can use the limit so

183:44

limitless values you cannot enter into

183:46

that attribute okay so you are allowed

183:48

to enter only that uh range which is

183:51

allowed into that integer category okay

183:56

so uh maybe you have defined uh some

184:00

constraint on that like primary key

184:02

constraint okay like Employee ID should

184:04

be always primary should not be

184:06

repeated. One employee ID should not be

184:10

assigned to more than one employee like

184:12

student ID. Student ID is always unique.

184:15

Okay. This type of constraints we have

184:18

applied on student ID. Okay. Constraint

184:21

I am applying that uh suppose a form is

184:24

there. I'm saying uh no uh customer can

184:29

open the account

184:31

whose age is less than 18. Okay.

184:34

Condition I post.

184:37

So this condition can be automatically

184:39

checked by DB itself. So whenever

184:42

someone wants to open the account and

184:45

you are saying before opening the

184:47

account would have to enter the uh sorry

184:49

you have to enter the uh

184:53

age of the that customer and if age is

184:57

not more than 18 so you're not allowed

184:59

to open the account. So you can apply

185:01

some constraints as okay these are

185:04

definitions but constructing as I told

185:06

you that how all of these records should

185:10

be stored on some storage med

185:13

not only records at that table okay how

185:17

it will be saved on the disk on the

185:21

memory manipulating means modification

185:24

deals with the modifications okay it's

185:26

includes quaring database to retrieve

185:29

retrieving the informations, updating

185:32

the data, okay, generating reports,

185:36

all these is the part of manipulation.

185:39

Okay. So you are performing any change,

185:42

any modification. So it's means

185:44

manipulating likewise sharing. Okay.

185:46

Sharing is very important. So standalone

185:48

you cannot do anything. Okay. For better

185:51

outcome you should have to share this

185:53

data with number of departments. Okay.

185:56

So multiple users can uh or to access

185:58

the database concretely. Okay. So these

186:01

are the points which are very important

186:03

for DBMS first practice. Okay. So revise

186:07

once again the definition and this uh

186:10

definition says that we the DBMS is

186:13

basically designed to perform all these

186:15

task. Okay. Defining, constructing,

186:18

manipulating and sharing. Okay. Any

186:20

doubt to do this?

186:23

[snorts] Any doubt?

186:29

All clear.

186:31

>> All clear. Okay. So that's great. And uh

186:34

because this is your first class so I'm

186:37

going to give you much more time for

186:39

your attendance as well. So we are just

186:44

stopping here giving full stop for

186:46

today. Okay. So we'll start discuss

186:50

discussing the things on some uh deep

186:54

pattern. Okay. the next class. So, just

186:57

give me a minute and

188:54

Okay. So,

188:57

attendance it is also very important

188:59

part.

189:01

So, as you know more than 80% is

189:04

required. So, you should be regular and

189:08

give attendance very attentively

189:09

[snorts]

189:11

and we can take attendance throughout

189:14

the class any time. Okay.

189:17

So you have to be ready for that

189:19

attending for that. So you have to give

189:22

attendance

189:24

by writing yes

189:27

or present in the chat box. Okay.

189:31

So by or registered name. So name should

189:33

be properly mentioned or visible in the

189:38

chat box. Okay. Got this. Let's start

189:41

from Arushad Abdullahif.

189:46

Arushad al Abdul Latif

189:49

Hussein Paran.

189:54

Okay.

189:56

Haran Muhammad.

190:01

Uh you have to write only present but uh

190:04

the name which is visible to be uh

190:07

should be uh relevant and exact name.

190:10

Okay.

190:12

Ahmed Haleem,

190:18

Ahmed Verak,

190:22

Harayu Muhammad,

190:28

Ali Sahil,

190:31

Mohammed Shafi,

190:37

Hussein Aam,

190:42

Mohammad Nadu,

190:46

Mohammed Hassan,

190:52

Mohammed Zakaria,

190:59

Mohammad Rufan,

191:06

Aliasir,

191:11

Mohammad Asel,

191:19

Ali Rashid,

191:22

Usman Muhammad,

191:25

Nawas Zahir,

191:32

Nazir Abdul,

191:36

Mahama Shamin,

191:41

Mohammed Zamin,

191:49

Ahmed Yamin,

191:57

Mohamad Zamin or Mohammad Zamil.

192:00

Zamin.

192:04

So those who

192:06

Zamil.

192:09

>> [snorts]

192:09

>> So,

192:13

is that your student ID? 8605

192:25

8605. Is that yours?

192:28

Maybe wait for a minute. Okay. Two or

192:31

three minutes.

192:33

Your name will be visible in upcoming

192:36

ids. Okay.

192:38

Ahmed Yamin,

192:41

Shan Muhammad,

192:45

Nafi, Ibrahim,

192:49

Ali, Sam,

192:54

Mu Muhammad,

192:57

Ahmed Mahi,

193:03

Ahmed Abdul Rahim,

193:08

Yish Muhammad

193:14

Salem,

193:18

Ibrahim Shafan,

193:24

Ahmed Asham,

193:28

Aishad Muhammad,

193:33

Ivan Say

193:43

Mohammed Samir

193:48

name Ahmed

193:53

and don't worry I will repeat the names

193:55

okay those who forgot to give the

193:58

attendance

194:00

okay okay y mama Mustafa

194:05

So yeah, I'm given don't worry. Okay.

194:08

Mohammad Ray Ibrahim

194:13

Ibrahim Hussein

194:18

to Hassan

194:26

Mohamad Zamil we'll give you will just

194:28

Perfect.

194:40

Aminadaya,

194:45

Aman, Ibrahim,

194:49

Mohammad,

194:54

Fatma, Shafina,

194:58

Aminata,

195:05

Nazi, Ali

195:10

Shouting Musa

195:13

Musad.

195:17

Sorry. Sha Sha Ahmed.

195:23

Sha Ahmed. Okay.

195:26

Ali Shatu.

195:30

Ali Shatu.

195:32

Maybe

195:34

Mohammad Azmin.

195:40

Mohamad Az. Okay.

195:44

[snorts]

195:46

Muhammad Zamil,

195:55

Mazin Muhammad,

196:01

Ahmed Afi Azad,

196:07

Ibrahim Bahad,

196:13

Nazil Ahmed,

196:18

Ibrahim Muid,

196:24

Muhammad Dharim,

196:29

Abdul Mua, Lil Mohammad,

196:37

Abdullah Zubar,

196:42

Abdullah Zubar, Muhammad knif If

196:50

Mouhammad Muad,

196:58

Mohammad Fias,

197:03

Adam Ahmed,

197:10

Hussein

197:12

Mahmud,

197:15

Uh, Iman Topic,

197:21

Shamil [snorts]

197:22

Rashid,

197:26

Hussein Kala.

197:36

Susan Fala. Okay. Mohammad Yish. Yes,

197:40

sir.

197:42

Present.

197:46

uh better to write in chat box as well.

197:48

Okay.

197:49

Mohammad Asia sir

197:57

that's

197:59

new Muhammad

198:02

Hosan

198:05

Tamin

198:07

Hosan Tam

198:11

Ahmed Hassan

198:15

Muhammad Han

198:18

Dhan Shhat

198:22

Mohammad Yasir,

198:26

Ahmed Aim,

198:31

Shiffan Muhammad,

198:37

Hussean Adil,

198:45

Mohammad Ibrahim,

198:49

and Mohammad Azim.

198:58

Mohamad is prime. Okay.

199:01

Mohammad Azim is not there. So let me

199:05

repeat the name of the absentees. Okay.

199:08

Aru Shad Abdul Latif

199:11

here. No.

199:14

Uh Rayu Muhammad Abdullah

199:20

not there. Hussein Azam

199:27

Mohammed Zakaria absent

199:31

Mohammed Ass

199:36

is not there.

199:38

Mohammed Zamin,

199:41

Ahmed Yamin,

199:45

Nafi Ibrahim

199:50

and Ibrahim Shafan,

199:54

Ivan Sed,

199:57

Ibrahim Musan,

200:01

Aminat Raya,

200:05

Mohammed Shwan,

200:09

Fatimat Shafina,

200:13

Ali Shhatyu,

200:18

Abdullah Zubar,

200:21

Ivan, Tafi,

200:24

Hussein, Tahamin,

200:30

Mohammad Han Shater,

200:34

Mohammad Yaser,

200:38

and Mohammad Azim

200:41

Mohammed Aim. Okay,

200:46

so I'm saving this attendance just

200:56

who is Mohammad. Mohammad Yaser.

201:01

Mohammad Yaser. Okay. Yeah.

201:05

Mohammed. Yes sir. I mark your already.

201:10

Okay. Yes. Not present. Okay. Yes. Is

201:13

present. Done.

201:31

Okay. So for your

201:34

reference

201:37

I'm sharing

201:40

the

201:42

assessment brief with you. Okay.

201:46

So do refer that assessment brief

201:50

and save it for your reference.

201:53

All the important dates are

201:56

mentioned into this

202:09

You can download it. Okay. So, it's

202:12

available in the chat box.

202:15

[snorts] Please go through

202:50

and uh I will provide you the

202:54

the

202:55

content and PPT also. Don't worry about

202:58

that. But once we'll complete that the

203:03

entire PP okay so when we complete that

203:05

portion so as soon I will share that

203:09

with you okay in the chat box also and

203:13

along with that all these things are

203:14

available on your portal at the same

203:16

time okay

203:20

so as I told you that the last 15

203:22

minutes we have reserved for your cross

203:25

questionings okay so now the goal is in

203:29

your code. Okay.

203:32

So I'm ready to take the questions and

203:34

if you are having any doubt ready to do

203:36

anything. Okay. So mostly the discussion

203:40

we have done today or anything else if

203:42

you want to ask you can ask. Okay.

203:49

So almost 58 students are there. Anyone

203:52

who wants to ask Okay.

207:02

Uh

207:06

are you uh talking about the last

207:09

semester subjects

207:22

it uh I'm not getting grao.

207:31

It's redo or what is that?

207:39

How many subjects are there?

207:47

Okay. Okay. So for that better to uh

207:52

talk to the student support. Okay.

207:56

So they will assist you

207:59

in this regard

208:07

because uh

208:10

there's some

208:12

you have to submit certain fees.

208:16

Okay. So financial aspects are there. So

208:19

you should have to refer them. Uh they

208:22

will make you more clear about

208:24

>> [snorts]

210:49

>> Okay. So that's all for today. Okay.

210:54

So

210:57

we'll meet tomorrow with new subject

211:00

with new discussion.

211:04

So so

211:05

this is all about TVMS today.

211:09

Thank you everyone.

211:12

Thank you for joining.

211:14

Thank you for being a good audience.

211:17

[snorts]

211:18

Good night everyone. Please take care.

211:21

We'll meet tomorrow with new subject.

211:23

Bye-bye. Take care.

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