RemTech.in

Associates

Computer Science & Engineering (Full Course Detail)

Description

Computer science or computing science is the study of the theoretical foundations of information and computation, an of practical techniques for their implementation and application in computer systems. This is addressed in algorithm and programming languages. A student who learns the development of software in various areas like manufacturing, education, management and remote control, with thorough technical knowledge in computer network is in great demand by MNCs including banking and finance sectors. The skills expected are thorough logical thinking and a good competence in mathematics.

Subjects on Algorithms, Operating System, Programming languages, Database Management System, Computer graphics, Computer network and artificial intelligence are studied as a part of the course.

Top recruiters: TCS, Infosys, Wipro, Microsoft, Google, IBM, CISCO, Accenture, etc.

Structure
Year Semesters
First Year Semester I Semester II
Second Year Semester III Semester IV
Third Year Semester V Semester VI
Fourth Year Semester VII Semester VIII
B.Tech (Computer Science & Engineering) List of Electives

Computer Science & Engineering

SYLLABUS B.Tech THIRD and FOURTH YEAR (Semester V, VI, VII and VIII)

Computer Science & Engineering (Year-III, Semester V)

S No.

Subject Code

Subject

Period

Evaluation Scheme

Total

Sessional Exam
CT TA Total

1

EHU - 501

Engineering & Managerial Economics

3-1-0

30

20

50

100

150

2

ECS - 501

Operating System

3-1-0

30

20

50

100

150

3

ECS - 502

Design and Analysis of Algorithms

3-1-0

30

20

50

100

150

4

ECS - 503

Object Oriented Techniques

3-1-0

30

20

50

100

150

5

ECS - 504

Computer Graphics

2-1-0

15

10

25

50

75

6

ECS - 505

Graph Theory

2-1-0

15

10

25

50

75

Practicals/Training Projects

7

ESC - 551

Operating system Lab*

0-0-2

-

25

25

25

50

8

ESC - 552

Algorithms Lab*

0-0-2

-

25

25

25

50

9

ESC - 553

Object Oriented Techniques Lab*

0-0-2

-

25

25

25

50

10

ESC - 554

Computer Graphics Lab*

0-0-2

-

25

25

25

50

11

GP - 501

General Proficiency

-

-

-

-

-

50


Computer Science & Engineering (Year-III, Semester VI)

S No.

Subject Code

Subject

Period

Evaluation Scheme

Total

Sessional Exam
CT TA Total

1

EHU - 601

Industrial Management

3-1-0

30

20

50

100

150

2

ECS - 601

Computer Network

3-1-0

30

20

50

100

150

3

ECS - 602

Software Engineering

3-1-0

30

20

50

100

150

4

ECS - 603

Compiler Design

3-1-0

30

20

50

100

150

5

ECS - 604

Web Technology

2-1-0

15

10

25

50

75

6

EIT - 505

Information Security and Cyber Laws

2-1-0

15

10

25

50

75

Practicals/Training Projects

7

ECS - 651

Computer Network Lab*

0-0-2

-

25

25

25

50

8

ECS - 652

Web Technology based Software Engineering Lab*

0-0-2

-

25

25

25

50

9

ECS - 653

Compiler Lab*

0-0-2

-

25

25

25

50

10

ECS - 654

Seminar

0-0-2

-

50

50

-

50

11

GP - 601

General Proficiency

-

-

-

-

-

50


Computer Science & Engineering (Year-III, Semester VII)

S No.

Subject Code

Subject

Period

Evaluation Scheme

Total

Sessional Exam
CT TA Total

1

EOE - 071/74

Open elective - I

3-1-0

30

20

50

100

150

2

ECS - 701

Distributed Systems

3-1-0

30

20

50

100

150

3

ECS - 702

Digital Image Processing

3-1-0

30

20

50

100

150

4

 

CS - Elective - I

3-1-0

30

20

50

100

150

5

 

CS - Elective - II

3-1-0

30

20

50

100

150

Practicals/Training Projects

6

ECS - 751

Distributed Systems Lab*

0-0-2

-

25

25

25

50

7

ECS - 752

Digital Image Processing Lab*

0-0-2

-

25

25

25

50

8

ECS - 753

Project

0-0-4

-

50

50

-

50

9

ECS - 754

Industrial Training Viva-Voce

0-0-2

-

50

50

-

50

10

GP - 701

General Proficiency

-

-

-

-

-

50


Computer Science & Engineering (Year-III, Semester VIII)

S No.

Subject Code

Subject

Period

Evaluation Scheme

Total

Sessional Exam
CT TA Total

1

EOE - 081/84

Open elective - II

3-1-0

30

20

50

100

150

2

ECS - 801

Artificial Intelligence

3-1-0

30

20

50

100

150

3

 

CS - Elective - III

3-1-0

30

20

50

100

150

4

 

CS - Elective - IV

3-1-0

30

20

50

100

150

Practicals/Training Projects

5

ECS - 851

Artificial Intelligence Lab*

0-0-2

-

25

25

25

50

6

ECS - 852

Project

0-0-12

-

100

100

200

300

7

GP - 801

General Proficiency

-

-

-

-

-

50

Gaurav Tayal, CS (2008-12)

During the course of my studies, my teachers taught me to think empirically my approach has become very practical and logical when it comes to solving any problem.

Lakshmi Tyagi, MBA (2010-12)

Being a girl and belonging to a city like saharanpur i never imagined that i would have a serious professional career. My college, my expericnces ignighted the fire in me.

Scroll to Top