GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 4
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: Jan -22 -
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)
3140005
Design Engineering 1 B
1
-
Project Work
0
0
2
0
0
20
80
100
3140702
Operating System
5
Professional Core
4
0
2
70
30
20
30
150
3140705
Object Oriented Programming -I
5
Professional Core
4
0
2
70
30
20
30
150
3143201
Data Communication and Computer Networks
5
Professional Core
4
0
2
70
30
20
30
150
3144201
Engineering Economics
3
Humanities and Social Science
3
0
0
70
30
0
0
100
3144202
Discrete Mathematics and Graph Theory
4
Basic Science
3
1
0
70
30
0
0
100
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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