PEOs, POs and PSOs

B.Tech in Computer Science and Master of Science in Geospatial Technology by Research

Program Educational Objectives (PEOs) 

After completion of this program successfully, the graduates will be able to:   

PEO1: Competency and Creativity: Demonstrate high competency, creativity, and innovation across Geospatial technology and have the ability to integrate Computer Science and Engineering fields to develop systems and solutions addressing both technological advancements and societal needs.

PEO2: Expertise in Advanced Domains: Exhibit a comprehensive breadth and depth of knowledge in the advanced domains of both Computer Science and Geospatial Technologies. Possess problem-solving skills that enable them to excel in research-driven and innovative environments, both in industry and academia. 

PEO3: Teamwork and Interdisciplinary Collaboration: Display superior interpersonal skills, enabling the students to function effectively and lead within varied, dynamic, and interdisciplinary teams. Navigate and contribute to complex projects that require collaborative efforts across different domains.

PEO4: Leadership in Innovation and Research: Keen on collaborative research and engaging in professional communities. Lead innovation and contribute significantly to the development of major areas within Computer Sciences and Geospatial Technologies.  

PEO5: Ethical Practice and Social Responsibility: Adhere to the highest standards of ethics and human values in their professional undertakings. Demonstrate a commitment to social responsibility, sustainability, and the ethical implications of technology in society. 

Program Outcomes (POs) 

After completion of the Dual Degree Program in Computer Sciences and Geospatial Technology (CGD), the Postgraduates will be able to:   

PO 1: Inculcate Spatial Thinking: Students will be adept in appreciating the spatio-temporal dimensions of various processes and their manifestation through deep understanding of concepts that drive Geospatial technologies, Computing models, along with related domains of Mathematics, Natural Sciences and Human Sciences. 

PO 2: Complex Problem Analysis: Identify, formulate, and solve intricate problems by integrating principles from Mathematics, Natural Sciences, Human Sciences, Engineering, and Geospatial Sciences, achieving comprehensive solutions with spatial dimensions. 

PO 3: Innovative Design and Development: Utilize principles from both Computer Sciences and Geospatial Technology to design and develop innovative solutions that consider societal, cultural, ethical, and environmental factors.

PO 4: Investigations of Interdisciplinary Problems: Conduct research and analysis on complex interdisciplinary problems, leveraging a blend of Geospatial Science, technology, and Computer Science approaches to derive novel insights and solutions. 

PO 5: Modern Tool Usage in Geospatial and Computing: Demonstrate proficiency with a variety of software and tools specific to both computer sciences and geospatial technology, including GIS software, remote sensing tools, programming languages, and development environments, HPC and others. 

PO 6: Technology and Societal Impact: Comprehend the impact of geospatial technologies on the social fabric, human health, and economic systems, striving for adoption of technologies in ways that adhere to ethical principles.

PO 7: Sustainability and Environmental Solutions: Employ geospatial technologies to develop solutions with a focus on sustainability, environmental conservation, and responsible resource management.    

PO 8: Professional Ethics and Impact Analysis: Adhere to ethical principles in the practice of geospatial technology, considering the societal, environmental, and cultural impacts of technological solutions.

PO 9: Collaboration Across Disciplines: Work effectively in diverse teams, bridging domains and geospatial technology, to undertake projects that require a multidisciplinary approach for solving complex problems.    

PO 10: Effective Communication: Communicate technical and non-technical aspects of computer science and geospatial technology projects effectively to a wide range of audiences, including peers, stakeholders, and the general public.  

PO 11: Project Management: Apply principles of project management, with an emphasis on managing projects that intersect computer sciences, geospatial technology, and multiple domains covering aspects like planning, scoping, designing, budgeting, and team coordination.

PO 12: Life-long Learning in a Multidisciplinary Context: Exhibit a commitment to lifelong learning, staying abreast of the latest advancements across related areas of geospatial technology to continuously enhance professional skills and knowledge.  

Program Specific Outcomes (PSOs) 

PSO 1: Interdisciplinary Expertise in Computer Sciences and Geospatial Technology: Demonstrate advanced knowledge in key areas of both Computer Sciences and Geospatial Technology Use this expertise to lead and innovate in research and application development.

PSO 2: Integrated Systems and Technology Advancement: Conduct comprehensive gap analyses for existing systems and technologies from a multidisciplinary perspective, developing strategic roadmaps to integrate cutting-edge solutions into system analysis, design, implementation, and optimization. 

PSO 3: Innovative R&D in Geospatial Sciences and Systems: Exhibit strong research and development capabilities to conceptualize, design, and market advanced software systems and products that leverage geospatial data and analytics, addressing future needs and trends in technology and society.    

PSO 4: Depth and Breath in related Disciplines for Advanced Studies: Possess the requisite depth and breadth of knowledge in Geospatial Science and Technology, Computer Sciences and related domains, and preparing students for excellence in further post-graduate studies, research programs, and careers that span related fields.

 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