Computer Science and Engineering

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Department of Computer Science and Engineering, NATIONAL INSTITUTE OF TECHNOLOGY CALICUT, Kozhikode - 673601, KERALA, INDIA

Program Educational Objectives (PEOs)

  • PEO1: Graduates shall have sound knowledge regarding the fundamental principles and techniques in the discipline of Computer Science and Engineering.
  • PEO2: Graduates shall have the ability to specify, design, develop and maintain reliable and efficient software.
  • PEO3: Graduates shall have the necessary communication and management skills and ethical values to become competent professionals.

Programme Outcomes (POs) and Programme Specific Outcomes (PSOs)

Programme Outcomes (POs)

  • PO1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2 - Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3 - Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4 - Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5 - Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO6 - The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7 - Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10 - Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11 - Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12 - Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes (PSOs)

  • PSO1: Analyze computational problems and design effective and efficient algorithmic solutions.
  • PSO2: Write effective code for implementing algorithmic solutions and use available software tools for the design of efficient software solutions.

CURRICULUM

Total credits for completing B.Tech. in Computer Science and Engineering is 150.

COURSE CATEGORIES AND CREDIT REQUIREMENTS

The structure of B.Tech. programmes shall have the following Course Categories:

Sl. No. Course Category Number of Courses Minimum Credits
1. Institute Core (IC) 8 22
2. Program Core (PC) and Program Electives (PE) 24-25 82
3. Open Electives (OE) 8 24
4. Institute Electives (IE)
(Entrepreneurship Innovation (EI) + Digital / Automation Technologies (DA) + Humanities, Social Science, Management (HM))
6 18
5. Activity Credits (AC) -- 4
COURSE REQUIREMENTS

The effort to be put in by the student is indicated in the tables below:

  • L: Lecture (One unit is of 50 minute duration)
  • T: Tutorial (One unit is of 50 minute duration)
  • P: Practical (One unit is of one hour duration)
  • O: Outside the class effort / self-study (One unit is of one hour duration)

1. INSTITUTE CORE (IC)

a) Mathematics

Sl. No. Course Code Course Title L T P O Credits
1. MA1002E Mathematics I 3 1* 0 5 3
2. MA1012E Mathematics II 3 1* 0 5 3
3. MA2002E Mathematics III 3 1* 0 5 3
4. MA2012E Mathematics IV 3 1* 0 5 3
Total 12 4* 0 20 12

*Optional for Students (can be replaced by self-study)

b) Basic Sciences

Sl. No. Course Code Course Title L T P O Credits
1. PH1001E Physics of Materials 3 0 0 6 3
2. BT1001E Biology for Engineers 3 0 0 6 3
Total 6 0 0 12 6

c) Professional Communication and Professional Ethics

Sl. No. Course Code Course Title L T P O Credits
1. MS1001E Professional Communication 3 0 0 6 3
2. CS2019E Professional Ethics 1 0 0 2 1
Total 4 0 0 8 4

2A. PROGRAMME CORE (PC)

Sl. No. Course Code Course Title L T P O Credits
1 CS1001E Computer Programming 3 0 0 6 3
2 CS1002E Introduction to Computing Science 3 0 0 6 3
3 CS1003E Discrete Structures I 3 0 0 6 3
4 CS1091E Programming Laboratory 0 0 3 3 2
5 CS1011E Program Design 3 0 0 6 3
6 CS1012E Logic Design 3 0 0 6 3
7 CS1013E Discrete Structures II 3 0 0 6 3
8 CS1092E Program Design Laboratory 1 0 3 5 3
9 CS2001E Data Structures and Algorithms 3 1 2 6 4
10 CS2002E Computer Organization 3 1 2 6 4
11 CS2091E Data Structures and Algorithms Laboratory 1 0 3 5 3
12 CS2092E Hardware Laboratory 1 0 3 5 3
13 CS2011E Database Management System 3 1 2 6 4
14 CS2012E Operating Systems 3 1 2 6 4
15 CS2013E Theory of Computation 3 0 0 6 3
16 CS3001E Computer Networks 3 1 2 6 4
17 CS3002E Compiler Design 3 1 2 6 4
18 CS3003E Design and Analysis of Algorithms 3 1 2 6 4
19 CS3011E Software Engineering 3 1 2 6 4
20 CS3012E Artificial Intelligence 3 1 2 6 4
21 CS3099E Project 0 0 0 9 3
22 CS4097E Summer Internship - - - * 2
Total 73

* Decided by the organisation in which the internship is done

2B. LIST OF ELECTIVES

Following courses may be credited under the categories mentioned in the table below.

Sl. No. Course Code Course Title L T P O Credits Categories
PE EI DA HM
1. CS4021E Logic for Computer Science 3 0 0 6 3 Y N Y N
2. CS4022E Program Analysis 3 0 0 6 3 Y N Y N
3. CS4023E Formal Semantics 3 0 0 6 3 Y N Y N
4. CS4024E Computational Complexity 3 0 0 6 3 Y N Y N
5. CS4025E Formal Verification 3 0 0 6 3 Y N Y N
6. CS4026E Vehicular Networks: Theory to Practice 3 0 0 6 3 Y N Y N
7. CS4027E Computational Geometry 3 0 0 6 3 Y N Y N
8. CS4029E Principles of Programming Languages 3 0 0 6 3 Y N Y N
9. CS4030E Foundations of Programming 3 0 0 6 3 Y N Y N
10. CS4031E Network Security 3 0 0 6 3 Y N Y N
11. CS4032E Computer Security 3 0 0 6 3 Y N Y N
12. CS4033E Quantum Computation 3 0 0 6 3 Y N Y N
13. CS4034E Advanced Computer Networks 3 0 0 6 3 Y N Y N
14. CS4035E Probabilistic Methods in Combinatorics 3 0 0 6 3 Y N Y N
15. CS4036E Algorithms in Optimization 3 0 0 6 3 Y N Y N
16. CS4037E Algorithmic Graph Theory 3 0 0 6 3 Y N Y N
17. CS4038E Computational Algebra 3 0 0 6 3 Y N Y N
18. CS4039E Computer Architecture 3 0 0 6 3 Y N Y N
19. CS4040E Mathematical Foundations of Machine Learning 3 0 0 6 3 Y N Y N
20. CS4041E Introduction to Machine Learning 3 0 0 6 3 Y N Y N
21. CS4042E Randomized Algorithms 3 0 0 6 3 Y N Y N
22. CS4043E Introduction to Parameterized Algorithms 3 0 0 6 3 Y N Y N
23. CS4044E Introduction to Parameterized Complexity Theory 3 0 0 6 3 Y N Y N
24. CS4045E Image Processing 3 0 0 6 3 Y N Y N
25. CS4046E Deep Learning for Computer Vision 3 0 0 6 3 Y N Y N
26. CS4047E Advanced Computer Architecture and Security 3 0 0 6 3 Y N Y N
27. CS4048E Cloud Computing 3 0 0 6 3 Y N Y N
28. CS4049E Distributed Computing 3 0 0 6 3 Y N Y N
29. CS4050E Natural Language Processing 3 0 0 6 3 Y N Y N
30. CS4051E Introduction to Bioinformatics 3 0 0 6 3 Y N Y N
31. CS4052E Number Theory and Cryptography 3 0 0 6 3 Y N Y N
32. CS4053E Data Mining 3 0 0 6 3 Y N Y N
33. CS4054E Embedded Systems 3 0 0 6 3 Y N Y N
34. CS4055E Object Oriented Systems 3 0 0 6 3 Y N Y N
35. CS4056E Approximation Algorithms 3 0 0 6 3 Y N Y N
36. CS4057E Data Privacy 3 0 0 6 3 Y N Y N
37. CS4058E Coding Theory 3 0 0 6 3 Y N Y N
38. CS4059E Term Paper 3 0 0 6 3 Y N Y N
39. CS4080E Operating Systems Laboratory 1 0 3 5 3 Y N Y N
40. CS4081E Compiler Laboratory 1 0 3 5 3 Y N Y N
41. CS4082E Digital Design Laboratory 1 0 3 5 3 Y N Y N
42. CS4083E Database System Design Laboratory 1 0 3 5 3 Y N Y N
43. CS4084E Networks Laboratory 1 0 3 5 3 Y N Y N
44. CS4085E Software Engineering Laboratory 1 0 3 5 3 Y N Y N
45. CS4086E Systems Programming Laboratory 1 0 3 5 3 Y N Y N
46. CS4087E Computer Security Laboratory 1 0 3 5 3 Y N Y N
47. CS4088E Object Oriented Systems Laboratory 1 0 3 5 3 Y N Y N
48. CS4089E Machine Learning Laboratory 1 0 3 5 3 Y N Y N
49. CS4090E Image Processing Laboratory 1 0 3 5 3 Y N Y N
50. CS4091E Processor Design Lab 1 0 3 5 3 Y N Y N
51. CS4098E Project 0 0 0 9 3 Y N N N
52. CS4099E Project 0 0 0 18* 6 Y N N N
53. CS4101E# Deep Learning: Algorithms and Architecture 3 0 0 6 3 Y N Y N
54. CS4102E# AI for Healthcare 3 0 0 6 3 Y N Y N
55. CS4201E## Cyber-Physical Systems: Modelling and Simulation 3 0 0 6 3 Y N Y N
56. CS4202E## Foundations of IoT and M2M Communications 3 0 0 6 3 Y N Y N
57. CS4060E Machine Learning Models 3 0 0 6 3 Y N Y N

* Decided by the organisation in which the project is done, if carried out outside the Institute.
# Introduced as part of the Minor program on Artificial Intelligence and Machine Learning
## Introduced as part of the Minor program on Cyber-Physical Systems

3. OPEN ELECTIVES (OE)

Courses offered by other Departments / Schools / Centres or Approved Online Platforms, with a limit on the maximum number of courses from such platforms specified as per B.Tech. Ordinances and Regulations. In addition, all PE courses except Projects offered by CSE shall be permitted to be included in this category for students of B.Tech. CSE.

4. INSTITUTE ELECTIVES (IE)

In case of the Institute Electives, courses in the appropriate categories offered by other departments/schools/centres also can be credited instead of the courses offered by the Computer Science & Engineering Department, subject to the approval from the Course Faculty and Faculty Advisor.

a) Entrepreneurship / Innovation Basket (EI)
Courses proposed by the Departments/Schools/Centres and approved by Institute Innovation Council. Total credits required is 3.
b) Digital Automation Technologies (DA)
Courses related to programming / automation tools & techniques / Industry 4.0. These courses may be proposed by Departments/Schools/Centres and approved by the Senate to be included in the DA category. Total credits required is 6. All of CSE’s PEs can be credited as DA electives too.
c) Humanities, Social Science, Management (HM)
Courses such as Indian and Foreign languages, Economics, Engineering Management, Financial Management and Design Thinking. These courses may be proposed by Departments/Schools/Centres and approved by the Senate to be included in HM category. Total credits required is 9.

5. ACTIVITY CREDITS (AC)

A minimum of 80 Activity Points are to be acquired for obtaining the 4 Activity Credits required in the curriculum.

  • Activity points acquired should be a minimum of 20 at the end of S4.
  • Activity points acquired should be a minimum of 40 at the end of S6.

PROGRAMME STRUCTURE

Semester I

Sl. No. Course Code Course Title L T P O Credits Category
1. MA1002E Mathematics I 3 1* 0 5 3 IC
2. MS1001E Professional Communication 3 0 0 6 3 IC
3. CS1001E Computer Programming 3 0 0 6 3 PC
4. CS1002E Introduction to Computing Science 3 0 0 6 3 PC
5. CS1003E Discrete Structures I 3 0 0 6 3 PC
6. CS1091E Programming Laboratory 0 0 3 3 2 PC
Total 17

Semester II

Sl. No. Course Code Course Title L T P O Credits Category
1. MA1012E Mathematics II 3 1* 0 5 3 IC
2. PH1001E Physics of Materials 3 0 0 6 3 IC
3. BT1001E Biology for Engineers 3 0 0 6 3 IC
4. CS1011E Program Design 3 0 0 6 3 PC
5. CS1012E Logic Design 3 0 0 6 3 PC
6. CS1013E Discrete Structures II 3 0 0 6 3 PC
7. CS1092E Program Design Laboratory 1 0 3 5 3 PC
Total 21

Semester III

Sl. No. Course Code Course Title L T P O Credits Category
1. MA2002E Mathematics III 3 1* 0 5 3 IC
2. CS2001E Data Structures and Algorithms 3 1 2 6 4 PC
3. CS2002E Computer Organization 3 1 2 6 4 PC
4. EI Elective 3 0 0 6 3 EI
5. CS2091E Data Structures and Algorithms Laboratory 1 0 3 5 3 PC
6. CS2092E Hardware Laboratory 1 0 3 5 3 PC
Total 20

Semester IV

Sl. No. Course Code Course Title L T P O Credits Category
1. MA2012E Mathematics IV 3 1* 0 5 3 IC
2. CS2011E Database Management Systems 3 1 2 6 4 PC
3. CS2012E Operating Systems 3 1 2 6 4 PC
4. CS2013E Theory of Computation 3 0 0 6 3 PC
5. CS2019E Professional Ethics 1 0 0 2 1 IC
6. DA Elective - 1 3 0 0 6 3 DA
7. Minor Course - 1 3 0 0 6 3# MC
Total (Excluding the Minor Courses) 18

Semester V

Sl. No. Course Code Course Title L T P O Credits Category
1. CS3001E Computer Networks 3 1 2 6 4 PC
2. CS3002E Compiler Design 3 1 2 6 4 PC
3. CS3003E Design and Analysis of Algorithms 3 1 2 6 4 PC
4. Humanities Elective - 1 3 0 0 6 3 HM
5. DA Elective - 2 3 0 0 6 3 DA
6. Minor Course - 2 3 0 0 6 3# MC
Total (Excluding the Minor Courses) 18

Semester VI

Sl. No. Course Code Course Title L T P O Credits Category
1. CS3011E Software Engineering 3 1 2 6 4 PC
2. CS3012E Artificial Intelligence 3 1 2 6 4 PC
3. Humanities Elective - 2 3 0 0 6 3 HM
4. Open Elective - 1 3 0 0 6 3 OE
5. Open Elective - 2 3 0 0 6 3 OE
6. CS3099E Project 0 0 0 9 3 PC
7. Minor Course - 3 3 0 0 6 3# MC
Total (Excluding the Minor Courses) 20

Semester VII

Sl. No. Course Code Course Title L T P O Credits Category
1. Humanities Elective - 3 3 0 0 6 3 HM
2. Open Elective - 3 3 0 0 6 3 OE
3. Open Elective - 4 3 0 0 6 3 OE
4. Open Elective - 5 3 0 0 6 3 OE
5. Open Elective - 6 3 0 0 6 3 OE
6. CS4097E Summer Internship* - - - * 2 PC
7. CS4098E / Project / Programme Elective - 1 - - - - 3 PE
8. Minor Course - 4 3 0 0 6 3# MC
Total (Excluding the Minor Courses) 20

* CS4097E Summer Internship (including the academic internship) is to be completed during the vacation after S6, and the evaluation will be done in S7. Working hours will be decided by the organisation in which the internship is done.

Semester VIII

Sl. No. Course Code Course Title L T P O Credits Category
1. CS4099E / Project /
Programme Elective - 2,
Programme Elective - 3
- - - - 6 PE
2. Open Elective - 7 3 0 0 6 3 OE
3. Open Elective - 8 3 0 0 6 3 OE
4. CS4096E Activity Credits (minimum of 80 points) - - - - 4 AC
Total 16

*Optional for Students (can be replaced by self-study)
# Credits for minor courses are in addition to the total credits for the B.Tech degree.