GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 7
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-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)
3174201
Deep Learning: Principles and Practices
5
-
Professional Core
4
0
2
70
30
20
30
150
3174202
Cryptography and Network Security
5
-
Professional Core
4
0
2
70
30
20
30
150
3174203
AI in HealthCare & Fintech
3
-
Professional Elective -IV
3
0
0
70
30
0
0
100
3174204
Bio-Informatics
3
-
Professional Elective -IV
3
0
0
70
30
0
0
100
3174205
Natural Language Processing
4
-
Professional Elective -V
3
0
2
70
30
20
30
150
3174206
Computer Vision
4
-
Professional Elective -V
3
0
2
70
30
20
30
150
3174207
Big Data Analytics
4
-
Professional Elective -VI
3
0
2
70
30
20
30
150
3174208
Reinforcement Learning
4
-
Professional Elective -VI
3
0
2
70
30
20
30
150
3174209
Social and Information Network Analysis
3
-
Open Elective-III
2
0
2
70
30
20
30
150
3174210
Enterprise Resource Planning
3
-
Open Elective-III
2
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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