Computer Science and Engineering
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Vision
To become a centre of excellence in the field of computer science and engineering through high quality education and produce intellectual computer engineers for industry and research.
Mission
M1: To provide fundamental knowledge in science, mathematics, management and environmental subjects.
M2: To impart in-depth knowledge in core computer science and engineering theory and laboratory courses.
M3: To train students to enhance their problem-solving and programming skills.
M4: To expose students to emerging technologies and tools in the field of computing.
2024
Sahapudeen, Farjana Farvin Krishna Mohan, S 2024, Evolutionary U-Net for Lung Cancer Segmentation on Medical Images‘, Journal of Intelligent Fuzzy Systems,ISSN- 1875-8967, vol. 46, no. 2, pp. 3963-3974, ( Scopus Indexed).
T. Vigneswari, F. F. Sahapudeen, S. Geetha, C. Punitha Devi and G. Kalaiselvi, "Synergizing Enhanced Neuro-Fuzzy System for Predictive Livestock Healthcare in Cloud IoT Environment," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 171-177, doi: 10.23919/INDIACom61295.2024.10498653( Scopus Indexed).
Farjana Farvin Sahapudeen, Reyaa. K, Reyaa. K, Subhadharani. J, “Live Stock Shelter Management System using IoT and ML”, International Journal of Advanced Research in Science, Communication and Technology,DOI:10.48175/ijarsct-17816,ISSN:2581-9429.
Overview of Computer Science and Engineering
The department is well equipped with three computer labs consisting more than 170 computers and 6 DELL power edge servers. Microprocessor lab and Digital lab are also available for training the students in basic hardware skills. The internet connection with 500 Mbps leased line facility is available for accessing information through internet. The department strives and takes efforts to make the students strong in core subjects like data structures, operating systems etc. and programming skills. The department organizes a national level technical symposium(Kshatriyah) every year. The students are encouraged to participate and showcase their talents in competitions and workshops conducted by various reputed institutions and organizations all over India. The students are motivated to do mini-projects in various fields based on their interest. Many students are doing mini-projects particularly in open-source platforms like Linux and mobile operating systems like android, ios, windows etc. The department organizes guest lectures by experts both from industry and academia to enable the students aware of current trends. Every classroom is equipped with audiovisual facilities and one A/C seminar hall with capacity of 150 seats is also available for presentations and brainstorming sessions.The department has consistent placement record both in on-campus and off-campus. Many of the alumni continue their higher studies both in India and abroad. Our faculty members and alumni are the prime strength of our department. Our department alumni visits the department and interact with our students to motivate the students to prepare themselves for industry needs.
As per the curriculum of the University, the following core subjects are taught during the course of study
III SEMESTER
Discrete Mathematics
Digital Principles and System Design
Data Structures
Object Oriented Programming
Foundations of Data Science
IV SEMESTER
Theory of Computation
Artificial Intelligence and Machine Learning
Database Management Systems
Algorithms
Introduction to Operating Systems
V SEMESTER
Compiler Design
Computer Networks
Cryptography and Cyber Security
Distributed Computing
Professional Elective I
Professional Elective II
VI SEMESTER
Object Oriented Software Engineering
Embedded Systems and IoT
Open Elective – I*
Professional Elective III
Professional Elective IV
Professional Elective V
Professional Elective VI
VII SEMESTER
Human Values and Ethics
Elective - Management#
Open Elective II
Open Elective III
Open Elective IV
VIII SEMESTER
Project Work/Internship
Electives Offered:
Open Elective I
Air Pollution and Control Engineering
Basic of Biomedical Instrumentation
Basics of Bioinformatics
Bio Chemistry
Digital Audio Engineering
Energy Conservation and Management
Fundamentals of Nutrition
Geographic Information System
Herbal Technology
Hospital Waste Management
Industrial Nanotechnology
Introduction to Bioenergy and Biofuels
Industrial Safety Engineering
Logic and Distributed Control Systems
Medical Physics
Microscopy
Principles of Food Preservation
Product Design and Development
Sensors and Transducers
Space Time Wireless Communication
Soft Computing
Telecommunication Network Management
Telehealth Technology
Wavelets and its Applications
World Class Manufacturing
Open Elective II
Agricultural Finance, Banking and Co-operation
Basic Circuit Theory
Basics of Human Anatomy and Physiology
Climate Change and its Impact
Clinical Trials
Electronic Devices
Electronic Materials
Energy Technology
Environmental and Social Impact Assessment
Fundamentals of Planetary Remote Sensing
Green Building Design
Hospital Management
Introduction to Renewable Energy Systems
Introduction of Cell Biology
Lean Six Sigma
Low Cost Automation
Medical Electronics
MEMS and NEMS
Microbiology
Process Modeling and Simulation
Robotics
Signals and Systems
Supply Chain Management
Systems Engineering
Telecommunication System Modeling and Simulation
Waste Water Treatment
PROFESSIONAL ELECTIVES
SEMESTER VI
ELECTIVE – I
1.Data Warehousing and Data Mining
2. Software Testing
3. Embedded Systems
4. Agile Methodologies
5. Graph Theory and Applications
6. Digital Signal Processing
7. Intellectual Property Rights
SEMESTER VII
ELECTIVE – II
1. Big Data Analytics
2. Machine Learning Techniques
3. Computer Graphics and Multimedia
4. Software Project Management
5. Internet of Things
6. Service Oriented Architecture
7. Total Quality Management
SEMESTER VII
ELECTIVE – III
1. Multi-core Architectures and
Programming
2. Human Computer
Interaction
3. C# and .Net Programming
4. Wireless Adhoc and Sensor Networks
5. Advanced Topics on Databases
6. Foundation Skills in Integrated Product Development
7. Human Rights
8. Disaster Management
SEMESTER VIII
ELECTIVE – IV
1 Digital Image Processing
2. Social Network Analysis
3. Information Security
4. Software Defined Networks
5. Cyber Forensics
6 Soft Computing
7. Professional Ethics in Engineering
SEMESTER VIII
ELECTIVE – V
1. Information Retrieval Techniques
2. Green Computing
3. GPU Architecture andProgramming
4. Natural Language Processing
5. Parallel Algorithms
6. Speech Processing
7. Fundamentals of Nano Science
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Innovations by the Faculty in Teaching and Learning
Following are the innovative methods used by the faculty in teaching learning process,
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Innovations by the Faculty in Teaching and Learning
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YouTube Lecture Videos of our Faculty Members
Dr. K. Velmurugan
Mrs. S. Farjana Farvin
Mrs. G. Kalaiselvi
Programme Educational Objectives (PEOs)
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Programme Specific Objectives (PSOs)
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Programme Outcomes (POs)
The computer science and engineering students will be able to
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