M.Tech Curriculum

M.Tech (2 Years)
M.Tech R.A - July (3 Years)
M.Tech R.A - January (3 Years)

Curriculum for M.Tech (2 Years)
Year	Odd Semester		Credits	Even Semester		Credits
1	AI5030	Probability and Stochastic Processes	3	AI5100	Deep Learning	3
	AI5000	Foundations of Machine Learning	3	AI5120	Topics in Optimization	3
	AI5110	Linear Algebra and Applications	3		AI Electives**	6
		AI Elective **	3	AI 5016	industry Lecture series *	1
	LA 5180	Communication Skills: Advanced *	1
	Total		13	Total		13
Summer	AI6105	Thesis Stage - I				3
Summer	Summer Total					3
2	AI6205	Thesis stage – II	9	AI6305	Thesis stage – III	12
2	Total		9	Total		12

*Communication Skills and *industry lecture series may be taken either in sem 1 or sem 2 depending on the availability.
** Department electives can be completed within the first 3 semesters.
Electives not in the given lists can be considered with approval of faculty advisor and DPGC (e.g. a new AI elective offered by a new faculty).

Year	Odd Semester		Credits	Even Semester		Credits
1	AI5030	Probability and Stochastic Processes	3	AI5100	Deep Learning	3
	AI5000	Foundations of Machine Learning	3	AI5120	Topics in Optimization	3
	AI5110	Linear Algebra and Applications	3		AI Electives **	3
	LA5180	Communication Skills : Advanced *	1	AI5016	Industry Lecture series *	1
	Total		10	Total		10
2	AI6115	Thesis Stage - I	3	AI6215	Thesis stage – II	6
		AI Electives **	6
	Total		9	Total		6
3	AI6315	Thesis stage – III	6	AI6415	Thesis stage – IV	9
3	Total		6	Total		9

*Communication Skills and *industry lecture series may be taken either in sem 1 and sem 2 depending on the availability.
**Department electives can be completed within the first 4 semesters.
Electives not in the given basket lists can be considered with approval of faculty advisor and DPGC (e.g. a new AI elective offered by a new faculty).

Curriculum for M.Tech R.A (Jan Admission)
Year	Odd Semester		Credits	Even Semester		Credits
1	AI5030	Probability and Stochastic Processes	3	AI5100	Deep Learning	3
	AI5000	Foundations of Machine Learning	3	AI5110	Linear Algebra and Applications	3
	AI5120	Topics in Optimization	3		AI Electives **	3
	LA5180	Communication Skills : Advanced *	1	AI5016	Industry Lecture series *	1
	Total		10	Total		10
2	AI6115	Thesis Stage - I	3	AI6215	Thesis stage – II	6
		AI Electives **	6
	Total		9	Total		6
3	AI6315	Thesis stage – III	6	AI6415	Thesis stage – IV	9
3	Total		6	Total		9

*Communication Skills and *industry lecture series may be taken either in sem 1 and sem 2 depending on the availability.
**Department electives can be completed within the first 4 semesters.
Electives not in the given lists can be considered with approval of faculty advisor and DPGC (e.g. a new AI elective offered by a new faculty).