PEOs, POs and PSOs

B.Tech in Computer Science and Master of Science in Computational Linguistics by Research

Program Educational Objectives (PEOs)

PEO-1: Demonstrate competency and creativity in some subareas of computer science so as to develop solutions and software systems for applications in computational linguistics

PEO-2: Demonstrate requisite breadth and depth of knowledge in some subareas of computational linguistics so as to excel in research and academic environments in these sub-areas

PEO-3: Exhibit communication skills and collaborative skills required to plan, participate effectively in multi-disciplinary teams. 

PEO-4: Develop an aptitude for self-learning and life-long learning so as to keep abreast with rapid change in NLP and computing technology

PEO-5: Practice ethics and human values in their profession

Program Outcomes (POs) 

PO-1: Scientific Knowledge: Use concepts in varied disciplines including Sciences, Mathematics, Electronics and Computer Sciences to engineer and develop systems of varying scale.

PO-2: Problem Analysis: Identify, formulate and analyze complex scientific and engineering problems, reaching substantial conclusions using principles of Mathematics, NLP and Engineering Sciences

PO-3: Design/ Development of Solutions: Identify and bring to fore the necessary concepts to arrive at solutions to problems in critical linguistics that take into account the societal, cultural and ethical considerations. 

PO-4: Conduct investigations of complex problems: interpolate and extrapolate based on existing knowledge base and self-learning skills to investigate the dynamics of complex problems and find solutions. 

PO-5: Modern Tool usage: Demonstrate requisite hands-on sills to work with variety of software packages, libraries, programming languages, and software development environment tools useful in engineering large scale systems

PO-6: The engineer and society: Make judicious use of resources and understand the impact of technology across the societal, ethical, environmental and economic aspects.

PO-7: Environment and sustainability: Find scientific and technological solutions by considering the environmental impact for sustainable development

PO-8: Ethics: Practice principles of professional ethics and make informed decisions after a due impact analysis

PO-9: Individual and teamwork: Work efficiently in individual and team –oriented projects of varying size, cultural milieu, professional accomplishments, and technological backgrounds

PO-10: Communication: Effectively communicate and exchange ideas and solutions to any individual including peers, end-users and stakeholders

PO-11: Project management and Finance: Apply principles of project management in general and scientific project management 

PO-12: Life-long learning: Exhibit the aptitude for independent, continuous and life-long learning required to meet their professional career goals. 

Program Specific Outcomes (PSOs) 

PSO-1: Exhibit broad general knowledge in some sub-areas of computer science and engineering such as machine learning and artificial intelligence 

PSO-2: Exhibit broad general knowledge sub-areas of language technologies such as machine translation, information retrieval and speech technologies 

PSO-3: Demonstrate research skills to identify problems of NLP that can benefit from utilizing advanced techniques of Computer Sciences, and participate in work at the frontier of scientific research in such inter-disciplinary areas

PSO-4: Demonstrate knowledge and skills of required depth in at least one area of computational linguistics and in computer sciences to excel in post-graduate and research programs as an inter-display bridge

 Semester wise Plan (Subject to minor changes)

Year & Sem

Course Code

Course Name

Full/Half Sem

Lectures-L, Tutorial-T, Practical-P      Hours per week

Credits earned

L

T

P

Ins Core

Prog Core

Prog Elec

Maths

Science

Hum

Open Elec

Hons

I-I

Monsoon

MA5.101

Discrete Structures

Full

3

1

0

-

-

-

4

-

-

-

-

CS0.101

Computer Programming

Full

3

1

3

-

5

-

 

-

-

-

-

MA4.101

Real Analysis

Full

3

1

0

-

-

-

4

-

-

-

-

EC2.101

Digital Systems and Microcontrollers

Full

3

1

3

-

5

-

-

-

-

-

-

OC2.101

Arts-1

Full

0

2

2

2

-

-

-

-

-

-

-

OC1.101

Sports-1

Full

0

0

2

1

-

-

-

-

-

-

-

OC3.101

Value Education-1

Full

2

1

0

2

-

-

-

-

-

-

-

 

Sub Total

 

14

7

10

5

10

0

8

0

0

0

0

 

Total

 

 

 

 

 

 

 

 

 

 

 

23

I-II

Spring

MA2.101

Linear Algebra

Full

3

1

0

-

-

-

4

-

-

-

-

CS3.303

Introduction to IoT

Full

2

0

3

-

3

-

-

-

-

-

-

CS1.201

Data Structures and Algorithms

Full

3

1

3

-

5

-

-

-

-

-

-

CS6.201

Introduction to Software Systems

Half

1

0

3

-

2

-

-

-

-

-

-

CS2.201

Computer Systems Organization

Full

3

1

0

-

4

-

-

-

-

-

-

OC1.102

Sports-2

Full

0

0

2

1

-

-

-

-

-

-

-

OC2.102

Arts-2

Full

0

2

2

2

-

-

-

-

-

-

-

 

Sub Total

 

12

5

13

3

14

0

4

0

0

0

0

 

Total

 

 
 
 
 
 
 
 
 
 
 

21

II-I

Monsoon

MA6.101

Probability and Statistics

Full

3

1

0

-

-

-

4

-

-

-

-

CS4.301

Data and Applications

Half 2

3

1

0

-

2

-

-

-

-

-

-

CS1.302

Automata Theory

Half 1

3

1

0

-

2

-

-

-

-

-

-

CS1.301

Algorithm Analysis and Design

Full

3

1

0

-

4

-

-

-

-

-

-

CS3.301

Operating Systems and Networks

Full

3

1

0

-

4

-

-

-

-

-

-

SC1.110

Science -1

Full

3

1

0

-

-

-

-

4

-

-

-

EC3.202

Embedded Systems Workshop

Half

1

0

2

-

3

-

-

-

-

-

-

OC1.103

Sports-3

Full

0

0

2

1

-

-

-

-

-

-

-

 

Sub Total

 

19

6

4

1

15

0

4

4

0

0

0

 

Total

 

 

 

 

 

 

 

 

 

 

 

24

 

 

 
 
 
 
 
 
 
 
 
 
 
 

 

II-II

Spring

CSx.3nn

Theory/Foundation Breadth Elective – 1

Half

3

1

0

-

-

2

-

-

-

-

-

CSx.3nn

Theory/Foundation Breadth Elective – 2

Half

3

1

0

-

-

2

-

-

-

-

-

CSx.3nn

Theory/Foundation Breadth Elective – 3

Half

3

1

0

-

-

2

-

-

-

-

-

CS6.301

Design and Analysis of Software Systems

Full

3

1

0

-

4

-

-

-

-

-

-

CS7.301

Machine, Data and Learning

Full

3

1

0

-

4

-

-

-

-

-

-

SC1.111

Science 2

Full

3

1

0

-

-

-

-

4

-

-

-

HS8.102

Intro to Human Sciences

Full

3

1

0

-

-

-

-

-

4

-

-

OC1.104

Sports-4

Full

0

0

2

1

-

-

-

-

-

-

-

OC3.102

Value Education-2

Full

2

1

0

2

-

-

-

-

-

-

-

 

Sub Total

 

23

8

2

3

8

6

0

4

4

0

0

 

Total

 

 

 

 

 

 

 

 

 

 

 

25

III-I

Monsoon

 

Bouquet Course – 1

Full

3

1

0

-

-

4

-

-

-

-

-

 

Science Elective – 1

Full

3

1

0

-

-

-

-

4

-

-

-

 

HS Elective-1

Full

3

1

0

-

-

-

-

-

4

-

-

 

Open Elective-1

Full

3

1

0

-

-

-

-

-

-

4

-

 

Sub Total

 

12

4

0

0

0

4

0

4

4

4

0

 

Total

 

 

 

 

 

 

 

 

 

 

 

16

III-II

Spring

CS9.301/CS9.303

BTP-1 / Honours-2

Full

0

2

6

-

-

-

-

-

-

-

2

 

Bouquet Course – 2

Full

3

1

0

-

-

4

-

-

-

-

-

 

Bouquet Course – 3

Full

3

1

0

-

-

4

-

-

-

-

-

 

HS Elective-2

Full

3

1

0

-

-

-

-

-

4

-

-

 

Open Elective-2

Full

3

1

0

-

-

-

-

-

-

4

-

 

Sub Total

 

12

6

6

0

0

8

0

0

4

4

2

 

Total

 

 

 

 

 

 

 

 

 

 

 

18

IV-I

Monsoon

CS9.401/CS9.402

BTP-2 / Honours-3

Full

0

2

6

-

-

-

-

-

-

-

2

 

Open Elective-3

Full

3

1

0

-

-

-

-

-

-

4

-

 

Bouquet Course – 4

Full

3

1

0

-

-

4

-

-

-

 

-

 

Open Elective-4

Full

3

1

0

-

-

-

-

-

-

4

-

 

Ethics-1

Half

3

1

0

-

-

-

-

-

2

-

-

 

Sub Total

 

12

6

6

0

0

4

0

0

2

8

2

 

Total

 

 

 

 

 

 

 

 

 

 

 

16

IV-II

Spring

 

Bouquet Course – 5

Full

3

1

0

-

-

4

-

-

-

-

-

 

HS Elective-3

Full

3

1

0

-

-

-

-

-

4

-

-

 

Open Elective-5

Full

3

1

0

-

-

-

-

-

-

4

-

 

Ethics-2

Half

3

1

0

-

-

-

-

-

2

 

-

 

Science Elective –2

Full

3

1

0

-

-

-

-

4

-

-

-

 

Sub Total

 

15

5

0

0

0

4

0

4

6

4

0

 

Total

 

 

 

 

 

 

 

 

 

 

 

18

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Category

Credits

%

 
 
 
 
 
 
 
 
 
 
 
 

Institute Core

12

8 

 
 
 
 
 
 
 
 
 
 
 
 

Programme Core

47

 29

 
 
 
 
 
 
 
 
 
 
 
 

Foundation Elective

6

 16

 
 
 
 
 
 
 
 
 
 
 
 

Bouquet Electives

20

 
 
 
 
 
 
 
 
 
 
 
 

Maths-Core only

16

 10

 
 
 
 
 
 
 
 
 
 
 
 

Science Core(8) + Electives (8)

16

 10

 
 
 
 
 
 
 
 
 
 
 
 

Humanities  Core(8) + Electives (12)

20

 13

 
 
 
 
 
 
 
 
 
 
 
 

Open Electives

20

 13

 
 
 
 
 
 
 
 
 
 
 
 

BTP

4

 3

 
 
 
 
 
 
 
 
 
 
 
 

Total

161

100