<<<<<<< HEAD rgpv scheme MTech Grading System 1st Semester Microsoft Word - I Sem AI & Data Science _Scheme_

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 2020-21)

First Semester- M.E./M.Tech (Artificial Intelligence & Data Science)

S.No.	Subject Code	Subject Name	Periods per week			Credits	Maximum Marks (Theory Slot)			Maximum Marks (Practical Slot)		Total Marks
			Periods per week				End Sem. Exam.	Tests (Two)	Assignme nts/Quiz	End Sem. Practical / Viva	Practical Record/ Assignm ent/Quiz /Present ation
			L	T	P		End Sem. Exam.	Tests (Two)	Assignme nts/Quiz	End Sem. Practical / Viva	Practical Record/ Assignm ent/Quiz /Present ation
1.	MTAD 101	Data Structures & Algorithms	3	1	-	4	70	20	10	-	-	100
2.	MTAD 102	Artificial Intelligence	3	1	-	4	70	20	10	-	-	100
3.	MTAD 103	Mathematical Foundation of Computer Science	3	1	-	4	70	20	10	-	-	100
4.	MTAD 104	Data Science	3	1	-	4	70	20	10	-	-	100
5.	MTAD 105	Elective I	3	1	-	4	70	20	10	-	-	100
6.	MTAD 106	Lab-I (101 and 102)	-	-	6	6	-	-	-	90	60	150
7.	MTAD 107	Lab-II (104 and Elective I)	-	-	6	6	-	-	-	90	60	150
		Total	15	5	12	32	350	100	50	180	120	800

L: Lecture - T: Tutorial - P: Practical Elective I :

(A) Programming System (B) Data Warehouse and Data Mining (C) Data Preparation and Analysis (D) Information Retrieval

======= rgpv scheme MTech Grading System 1st Semester Microsoft Word - I Sem AI & Data Science _Scheme_

First Semester- M.E./M.Tech (Artificial Intelligence & Data Science)

S.No.	Subject Code	Subject Name	Periods per week			Credits	Maximum Marks (Theory Slot)			Maximum Marks (Practical Slot)		Total Marks
			Periods per week				End Sem. Exam.	Tests (Two)	Assignme nts/Quiz	End Sem. Practical / Viva	Practical Record/ Assignm ent/Quiz /Present ation
			L	T	P		End Sem. Exam.	Tests (Two)	Assignme nts/Quiz	End Sem. Practical / Viva	Practical Record/ Assignm ent/Quiz /Present ation
1.	MTAD 101	Data Structures & Algorithms	3	1	-	4	70	20	10	-	-	100
2.	MTAD 102	Artificial Intelligence	3	1	-	4	70	20	10	-	-	100
3.	MTAD 103	Mathematical Foundation of Computer Science	3	1	-	4	70	20	10	-	-	100
4.	MTAD 104	Data Science	3	1	-	4	70	20	10	-	-	100
5.	MTAD 105	Elective I	3	1	-	4	70	20	10	-	-	100
6.	MTAD 106	Lab-I (101 and 102)	-	-	6	6	-	-	-	90	60	150
7.	MTAD 107	Lab-II (104 and Elective I)	-	-	6	6	-	-	-	90	60	150
		Total	15	5	12	32	350	100	50	180	120	800

L: Lecture - T: Tutorial - P: Practical Elective I :

(A) Programming System (B) Data Warehouse and Data Mining (C) Data Preparation and Analysis (D) Information Retrieval

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