GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 3
L=lectures, T=tutorial, P=Practical, E=TheoryExternal, M=TheoryInternal, I=Practical Internal, V=Practical External, ESE – End Semester Examination, PA – Progressive Assessment
Effective From: Jun-21 -
Subject Code
Subject Name
Credits
Papers
Category
Teaching Scheme
Examination Marks
Total Marks
L
T
P
Theory Marks
Practical Marks
ESE (E)
PA (M)
PA (I)
ESE Viva (V)
3130004
Effective Technical Communication
3
Humanities and Social Science
2
0
2
70
30
20
30
150
3130006
Probability and Statistics
5
Engineering Science
3
2
0
70
30
0
0
100
3130007
Indian Constitution
0
Mandatory Subject
2
0
0
50
0
0
0
50
3130008
Design Engineering - I A
1
-
Project Work
0
0
2
0
0
20
80
100
3130703
Database Management System
5
Professional Core
4
0
2
70
30
20
30
150
3130704
Digital Fundamentals
4
Basic Science
3
0
2
70
30
20
30
150
3134201
Data Structures and Algorithms
5
Professional Core
3
0
4
70
30
20
30
150
GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus
From the below table, students can download GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Branch's other semester syllabus PDFs too. To download other semesters syllabus PDFs, click on any of the semesters from the below table.
No.
GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus PDFs
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