Computer Science and Engineering

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Department of Computer Science and Engineering

Overview

Computer Science and Engineering is one of the popular courses among engineering students. It mainly focuses on programming, computation, analysis of algorithm, program design and testing, software engineering etc for design, development and analysis of software and hardware used to solve the problem of various businesses, scientific and social issues. Computer Science and Engineering integrates both computer hardware and software and is intended to develop solid understanding of the entire computer system and its other accessories and software. It provides sophistication to the world and touches human lives in all the aspects such as education, transportation, entertainment, banking, social media, healthcare and supply chain management etc. Computer science and engineering is an inter disciplinary subject like psychology, geology science, maths, art and music with the subject of bio informatics, electronics, operation research etc. This study helps the students to understand how computer science fits into a mid range of domains in the world.

Job opportunities in India and Abroad. ( Both Public & Private Sectors)

Job opportunities for computer science and engineering available over 50% of all available jobs in engineering. In India 60% of jobs are available in IT sector (both private and public sector).

In public sector such as Railways, Airport, ONGC, Remote Sensing and Banking Sector, etc...

In Private Sector such as TCS, Infosys, CTS, Wipro, HCL Technology, Tech Mahindra, Zoho, Intel, Accenture, IBM, FSS, etc...

Programme

Duration:

4 years (Regular) / 3 years (Lateral Entry)

No. of Semesters:

8 (Regular) / 6 (Lateral Entry)

Intake / No. of Seats:

Total - 60 (Government - 30, Management - 30)

Eligibility:

10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
For more information Click here

Curriculum & Syllabus:

2021 Regulation

2017 Regulation

Career Opportunities:

Planners, Designers, Constructors & Operators | Stewards of the Environment | Innovators & Integrators of Technology | Managers of risk | Leaders in Public Policy | Public Sector Undertaking | Government Sector

Scope for Higher Studies:

Duration:

2 years

No. of Semesters:

4

Intake / No. of Seats:

Total - 9

Eligibility:

As per the Anna University and AICTE Norms.
For more information Click here

Curriculum & Syllabus:

2017 Regulation

Scope for Higher Studies:

  • Ph.D.

Vision

To be a centre of excellence for transforming students into proficient Computer Science Engineers through sustainable practices.

Mission

M1.     Impart core fundamental knowledge and necessary skills in Computer Science and Engineering through innovative teaching and learning methodology

M2.    Inculcate critical thinking, ethics, lifelong learning and creativity needed for industry and society

M3.   Cultivate the students with all-round competencies, for career, higher education and self-employability

PEOs / PSOs / PO

Programme Educational Objectives (PEOs)

PEO1. Graduates will be prepared for analysing, designing, developing and testing the software solutions and products with creativity and sustainability
PEO2. Graduates will be skilled in the use of modern tools for critical problem solving and analyzing industrial and societal requirements
PEO3. Graduates will be prepared with managerial and leadership skills for career and starting up own firms

Program Specific Outcomes (PSOs)

Engineering Graduates will be able to
PSO1. Develop creative solutions by adapting emerging technologies / tools for real time applications of Industry
PSO2. Apply the acquired knowledge to develop software solutions and innovative mobile apps for various automation applications

Programme Outcomes (PO)

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, review 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 modeling 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 Sustain ability: 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 multi disciplinary 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 multi disciplinary 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

Duration:

4 years (Regular) / 3 years (Lateral Entry)

No. of Semesters:

8 (Regular) / 6 (Lateral Entry)

Intake / No. of Seats:

Total - 60 (Government - 30, Management - 30)

Eligibility:

10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
For more information Click here

Curriculum & Syllabus:

2013 Regulation

2017 Regulation

Career Opportunities:

Planners, Designers, Constructors & Operators | Stewards of the Environment | Innovators & Integrators of Technology | Managers of risk | Leaders in Public Policy | Public Sector Undertaking | Government Sector

Scope for Higher Studies:

Duration:

2 years

No. of Semesters:

4

Intake / No. of Seats:

Total - 9

Eligibility:

As per the Anna University and AICTE Norms.
For more information Click here

Curriculum & Syllabus:

2017 Regulation

Scope for Higher Studies:

  • Ph.D.

Faculty

S.No. Name Designation Date of Joining Qualification Nature of Association (Regular / Contract / Adjunct) Profile
1
Dr.MOHAN E
 Professor 26.08.2022 M.E., Ph.D. Regular View
2
Dr.VIJAYARANGAN R
 Professor 19.06.2023 M.E., Ph.D. Regular View
3
Dr. JEYANTHI S
 Associate Professor 13.03.2023 M.E., Ph.D. Regular View
4
Dr. PARAMESH J
 Professor 06.09.2023 M.E., Ph.D. Regular View
5
Mr. VIMALATHITHAN S
 Assistant Professor 09.12.2022 M.E., (Ph.D.) Regular View
6
Mr. PANDARINATHAN V
 Assistant Professor 18.07.2023 M.E., (Ph.D.) Regular View
7
Mr. MOHIDEEN ABDUL KADHER M
 Assistant Professor 20.06.2018 M.E., (Ph.D) Regular View
8
Mrs. AISHWARYA M S
 Assistant Professor 19.12.2022 M.E. Regular View
9
Mrs. GAYATHRI S
 Assistant Professor 06.04.2022 M.E. Regular View
10
Mrs. MUTHU PANDEESWARI R
 Assistant Professor 12.09.2022 M.E., (Ph.D.) Regular View
11
Mrs. KANMANI M
 Assistant Professor 02.01.2023 M.E. Regular View
12
Mrs. ANGAYARKANNI N
 Assistant Professor 01.06.2023 M.E. Regular View
13
Mrs. GOWRI A
 Assistant Professor 12.06.2023 M.E. Regular View

PG / VISITING
1
Dr. NAGASUBRAMANIAN R
 Professor 01.07.2019 M.E., Ph.D. Regular View
2
Mrs. PANDEESWARI M
 Assistant Professor 29.08.2022 M.E. Regular View
S.No. Name Qualification Designation Area of Specialization
1
Dr. NAGASUBRAMANIAN R
 M.E., Ph.D. Professor Network Security, Data Science
2
Dr.VEDHAVATHY T R
 M.E., Ph.D. Professor Data Mining, Artificial Intelligence
3
Dr. JEYANTHI S
 M.E., Ph.D. Associate Professor Data Science Machine Learning
4
Mr. RAJASEKAR R
 M.E., (Ph.D.) Assistant Professor Cloud Computing Artificial Intelligence
5
Mr. VIMALATHITHAN S
 M.E., (Ph.D.) Assistant Professor Image Security Network Security
6
Mrs. AISHWARYA M S
 M.E. Assistant Professor Artificial Intelligence Web Technology
7
Mrs. GAYATHRI S
 M.E. Assistant Professor Software Engineering Image Processing
8
Mrs. MUTHU PANDEESWARI R
 M.E., (Ph.D.) Assistant Professor Data Science, Image Processing
9
Mr. PANDIYAN G
 M.E., (Ph.D.) Assistant Professor Cloud Computing Artificial Itelligence
10
Mrs. PANDEESWARI S
 M.E. Assistant Professor Cloud Computing Artificial Itelligence
11
Ms. SUMANA T
 M.Tech. Assistant Professor Artificial Intelligence Web Technology
12
Mrs. KANMANI M
M.E. Assistant Professor Software Engineering, Image Processing
S.No. Name Qualification Designation Area of Specialization
1
Dr. NAGASUBRAMANIAN R
 M.E., Ph.D. Professor Network Security, Data Science
2
Dr. SUBRAMANIAM P
 M.E., Ph.D. Professor Data Science Machine Learning
3
Dr. PREMALATHA M
 M.E., Ph.D. Associate Professor Artificial Intelligence Image Processing
4
Mrs. SATHYAPRIYA K
 M.E. Assistant Professor Image Security Network Security Image Processing
5
Mrs. SARANYA V
 M.E.(Ph.D.) Assistant Professor Artificial Intelligence Image Processing
6
Mrs. SASIKALA L
 M.E. Assistant Professor Software Engineering Web Technology Cloud Computing
7
Mrs. KIRUTHIKA S
 M.E Assistant Professor Data Science, Image Processing
8
Mr. PRAVEEN KUMAR G
 M.Tech. Assistant Professor Web Technology Image Processing Artificial Intelligence
9
Mrs. ASRIN MAHAMOOTHA A
 M.E. Assistant Professor Cloud Computing Artificial Intelligence
10
Mrs. UMA MAHESHWARI R
 M.E. Assistant Professor Artificial Intelligence Web Technology Artificial Intelligence
11
Mr. JAGANATHAN J
 M.E. Assistant Professor Software Engineering, Image Processing
12
Mrs.J.JEYABHARATHI
 M.E. Assistant Professor Cloud Computing Image Processing
13
Mrs. PREMITHA A
 M.E. Assistant Professor Artificial Intelligence Web Technology
14
Mr. SYED ISMAIL A
 M.E. Assistant Professor Cloud Computing Artificial Intelligence
S.No. Name Qualification Designation Area of Specialization
1
Dr. NAGASUBRAMANIAN R
 M.E., Ph.D. Professor Network Security, Data Science
2
Dr. PREMALATHA M
 M.E., Ph.D. Assistant Professor Artificial Intelligence Image Processing
3
Dr. MUTHUKUMAR B
 M.E., Ph.D. Associate Professor Data Science Machine Learning
4
Mr. SYED ISMAIL A
 M.E. Assistant Professor Image Security Network Security Image Processing
5
Mr. BHARATH BABU S
 M.E. Assistant Professor Artificial Intelligence Image Processing
6
Mr. SENTHIL KUMAR S
 M.E. Assistant Professor Web Technology Cloud Computing
7
Mrs. SATHYAPRIYA K
 M.E. Assistant Professor Data Science, Image Processing
8
Mr. PREMITHA A
 M.E., (Ph.D.) Assistant Professor Web Technology Artificial Intelligence Machine Learning
9
Mr. JEYABHARATHI P
 M.E. Assistant Professor Cloud Computing Artificial Intelligence
10
Mr. JAGANATHAN J
 M.E. Assistant Professor Artificial Intelligence Web Technology Artificial Intelligence
11
Mr. ESWARANARAYANAN M
 M.E. Assistant Professor Software Engineering, Image Processing
12
Mrs. RAMYA M
 M.E Assistant Professor Cloud Computing Image Processing
13
Mr. SATHEESKUMAR K
 M.E. Assistant Professor Artificial Intelligence Web Technology
14
Mrs. ARUNA S
 M.E. Assistant Professor Cloud Computing Artificial Intelligence
15
Ms. NIRMALA J
 M.E. Assistant Professor Software Engineering, Image Processing

Academics

Anna university Regulation, Syllabus

ME - 2017 Syllabus

2021 Regulation Course Materials

S.No. Subject Code Subject Name Lesson Plan Question Bank Lecture Notes ICT Tools
1 GE3151 Problem Solving and Python Programming View View View View
2 CS3251 Programming in C View View View View
3 MA3354 Discrete Mathematics View View View View
4 CS3351 Digital Principles and Computer Organization View View View View
5 CS3352 Foundations of Data Science View View View View
6 CS3301 Data Structures View View View View
7 CS3391 Object Oriented Programming View View View View
8 MA8402 Probability and Queueing Theory View View View View
9 CS8491 Computer Architecture View View View View
10 CS8492 Database Management Systems View View View View
11 CS8451 Design and Analysis of
Algorithms 		View View View View
12 CS8493 Operating Systems View View View View
13 CS8494 Software Engineering View View View View
14 MA8551 Algebra and Number Theory View View View View
15 CS8591 Computer Networks View View View View
16 EC8691 Microprocessors and Microcontrollers View View View View
17 CS8501 Theory of Computation View View View View
18 CS8592 Object Oriented Analysis and Design View View View View
19 OME551 Open Elective I
Energy Conservation Management		 View View View View
20 CS8651 Internet Programming View View View View
21 CS8691 Artificial Intelligence View View View View
22 CS8601 Mobile Computing View View View View
23 CS8602 Compiler Design View View View View
24 CS8603 Distributed Systems View View View View
25 IT8076 Professional Elective I
Software Testing		 View View View View
26 MG8591 Principles of Management View View View View
27 CS8792 Cryptography and Network Security View View View View
28 CS8791 Cloud Computing View View View View
29 OMF751 Open Elective II
Lean Six Sigma		 View View View View
30 IT8075 Professional Elective II
Software Project Management 		View View View View
31 CS8079 Professional Elective III
Human Computer Interaction		 View View View View
32 GE8076 Professional Elective IV
Professional Ethics in Engineering		 View View View View
33 CS8080 Professional Elective VI
Information Retrival Techniques		 View View View View

2017 Regulation Course Materials

S.No. Subject Code Subject Name Lesson Plan Question Bank Lecture Notes ICT Tools
1 GE3151 Problem Solving and Python Programming View View View View
2 CS3251 Programming in C View View View View
3 MA3354 Discrete Mathematics View View View View
4 CS3351 Digital Principles and Computer Organization View View View View
5 CS3352 Foundations of Data Science View View View View
6 CS3301 Data Structures View View View View
7 CS3391 Object Oriented Programming View View View View
8 MA8402 Probability and Queueing Theory View View View View
9 CS8491 Computer Architecture View View View View
10 CS8492 Database Management Systems View View View View
11 CS8451 Design and Analysis of
Algorithms 		View View View View
12 CS8493 Operating Systems View View View View
13 CS8494 Software Engineering View View View View
14 MA8551 Algebra and Number Theory View View View View
15 CS8591 Computer Networks View View View View
16 EC8691 Microprocessors and Microcontrollers View View View View
17 CS8501 Theory of Computation View View View View
18 CS8592 Object Oriented Analysis and Design View View View View
19 OME551 Open Elective I
Energy Conservation Management		 View View View View
20 CS8651 Internet Programming View View View View
21 CS8691 Artificial Intelligence View View View View
22 CS8601 Mobile Computing View View View View
23 CS8602 Compiler Design View View View View
24 CS8603 Distributed Systems View View View View
25 IT8076 Professional Elective I
Software Testing		 View View View View
26 MG8591 Principles of Management View View View View
27 CS8792 Cryptography and Network Security View View View View
28 CS8791 Cloud Computing View View View View
29 OMF751 Open Elective II
Lean Six Sigma		 View View View View
30 IT8075 Professional Elective II
Software Project Management 		View View View View
31 CS8079 Professional Elective III
Human Computer Interaction		 View View View View
32 GE8076 Professional Elective IV
Professional Ethics in Engineering		 View View View View
33 CS8080 Professional Elective VI
Information Retrival Techniques		 View View View View

Innovation Teaching Methods

S.No. Subject Code Subject Name ITM Tool
1 CS8091 Big Data Analytics View
2 CS8591 Computer Networks View
3 CS8592 Object Oriented Analysis and Design View
4 EC8691 Microprocessor and Microcontroller View
5 CS8494 Software Engineering View
6 IT8601 Computational Intelligence View
7 IT8602 Mobile Communication View
8 IT8501 Web Technology View
9 CD3291 Data Structures & Algorithms View
10 IT3401 Web Essentials View
11 EC3401 Networks and Security View
12 CS8092 Computer Graphics &Multimedia View
13 GE3151 Problem Solving and Python Programming View
14 CS3391 Object oriented programming View

2017 Regulation Course Materials

S.No. Subject Code Subject Name Lesson Plan Question Bank Lecture Notes ICT Tools
1 EC8452 Electronic Circuits II View View View View
2 EC8491 Communication Theory View View View View
3 EC8451 Electromagnetic Fields View View View View
4 EC8453 Linear Integrated Circuits View View View View
5 MA8451 Probability & Random Processes View View View View
6 GE8291 Environmental Science & Engineering View View View View
7 EC8501 Digital Communication View View View View
8 EC8553 Discrete-Time Signal Processing View View View View
9 EC8552 Computer Architecture and Organization View View View View
10 EC8551 Communication Networks View View View View
11 EC8073 Medical Electronics View View View View
12 OR0551 Renewable Energy Sources View View View View
13 EC8691 Microprocessors and Microcontrollers View View View View
14 EC8095 VLSI Design View View View View
15 EC8652 Wireless Communication View View View View
16 EC8651 Transmission Lines and RF Systems View View View View
17 EC8002 Multimedia Compression and Communication View View View View
18 EC8701 Antennas and Microwave Engineering View View View View
19 EC8751 Optical Communication View View View View
20 EC8791 Embedded and Real Time Systems View View View View
21 EC8702 Ad hoc and Wireless Sensor Networks View View View View
22 OMF751 Lean Six Sigma View View View View
23 EC8093 Digital Image Processing View View View View
24 EC8094 Satellite Communication View View View View

Research

MOU Details

Industrial Projects

Publications

Publication 2021 - 2022

Publication 2020 - 2021

Publication 2019 - 2020

Patent Details

FDP Attended Details

FDP 2022 - 2023

FDP 2021 - 2022

PLACEMENT DETAILS

Off Campus Placed Students in Various Company

NEWS & EVENTS

Student Activities

Co Curricular Activities

Internship Details
Industrial Visits
Professional Society Activities

Extra Curricular Activities

Extra Curricular Activities

Members of Alumni Association

Innovative Teaching Methods- Critics for further Improvement

infrastructures