GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 6
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-2023 -
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)
3160001
Design Engineering II B
1
-
Project Work
0
0
2
0
0
20
80
100
3160002
Contributor Personality Development Program
2
Personality Development Elective
2
0
0
70
30
20
30
150
3160003
Integrated Personality Development Course
2
Personality Development Elective
2
0
0
70
30
20
30
150
3164201
Image Processing
4
Professional Core
3
0
2
70
30
20
30
150
3164202
Agile Software Development & Devops
4
Professional Core
3
0
2
70
30
20
30
150
3164203
Theory of Computation
4
Professional Elective-II
3
0
2
70
30
20
30
150
3164204
Data Security
4
-
Professional Elective-II
3
0
2
70
30
20
30
150
3164205
Predictive Analytics
4
-
Professional Elective-III
3
0
2
70
30
20
30
150
3164206
Internet of Things
4
Professional Elective-III
3
0
2
70
30
20
30
150
3164207
Cyber Crime and Mitigation
4
Open Elective-I
3
0
2
70
30
20
30
150
3164208
Introduction to Robotics
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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