Ph.D. Computer Science & Engineering

The Department of Computer Science, Karaikal Campus offers Ph.D programme in Computer Science & Engineering both in full-time and part-time mode. The programme imparts the knowledge, skills and attitude to do quality research in the area of Computer Science. Doctorate students are expected to publish their work in leading international journals and conferences pertaining to their area of research. The research programmes have a limited amount of course work. The main emphasis is on the research work leading to a thesis. This involves delving in depth into a research topic and includes grasping, evaluating and refining ideas, mathematical rigor, problem formulation, literature survey, implementation and performance evaluation.

Focus Areas

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of the program

Data Science

Natural Language Processing(NLP)

Nature-inspired computing

Who can prefer this Course

Eligibility

M.E. / M.Tech in Computer Science and Engineering/Network and Internet Engineering/ Network and Information security or Information Technology OR MCA/ M.S./ M.Sc. in Computer Science/ Information Technology/ Software Engineering or equivalent with a minimum of 55% marks
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Multiple choice type questions from all the major areas of Computer Science discipline.
Data science incorporates tools from multiple disciplines to gather a data set, process, and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes. The disciplinary areas that make up the data science field include mining, statistics, machine learning, analytics, and programming.
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It is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable."
Nature-inspired computing is a field of study encompasses three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.

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