GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 5
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: Aug-2022 -
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)
3150001
Design Engineering - II A
1
-
Project Work
0
0
2
0
0
20
80
100
3150004
Contributor Personality Development Program
2
Personality Development Elective
2
0
0
70
30
20
30
150
3150005
Integrated Personality Development Course
2
Personality Development Elective
2
0
0
70
30
20
30
150
3150714
Cyber Security
3
Open Elective-I
2
0
2
70
30
20
30
150
3154201
Optimization Techniques
3
Professional Core
3
0
0
70
30
0
0
100
3154202
Fundamentals of Artificial Intelligence
5
Professional Core
4
0
2
70
30
20
30
150
3154203
Machine Learning Essentials
5
Professional Core
4
0
2
70
30
20
30
150
3154204
Internet and Web Programming
4
-
Professional Elective-I
3
0
2
70
30
20
30
150
3154205
Web Application Development
4
Professional Elective-I
3
0
2
70
30
20
30
150
3154206
Python Programming
4
Open Elective-I
3
0
2
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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