Course Structure

Pre-PhD Courses w.e.f. 2020 batch

First Semester (select any three after consultation with the Faculty Advisor)

Course Code	Subject	Credits	Total Credits
CS – P101	Special Topics in Data Structures &Algorithms	4
CS – P102	Special Topicsin Data Mining	4
CS – P103	Special Topicsin Soft Computing	4
CS – P104	Special Topicsin Visual Computing	4
CS – P105	Special Topicsin Text Analytics	4
CS – P106	Special Topics in Real-Time Systems	4
CS – P107	Special Topicsin Optimization	4
CS – P108	Special Topicsin Pattern Recognition	4
CS – P109	Special Topicsin Optical Networks	4
CS – P110	Special Topics in Queuing Theory	4
CS – P111	Special Topics in Machine Learning	4
CS – P112	Special Topicsin Artificial Intelligence	4
	Any other courses approved by the BoS

	Semester Total		12

Second Semester

Course Code	Subject	Credits	Total Credits
CS – P201	Research Methodology	2
CS – P202	Seminar	1
CS – P203	Term Paper	1
	Introduction to South Asia**	2
	Semester Total		06

GRAND TOTAL		18

*in the first semester, a pre-PhD student has to take three courses from the list of courses offered by the department based on the expertise of the available faculty members. Also, the above list may be updated from time to time subject to the approval of the Board of Studies of the Faculty.