GTU Artificial Intelligence and Data Science 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
3174205
NLP
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
3174301
Data Visualization and Modeling
5
-
Professional Core
4
0
2
70
30
20
30
150
3174302
Mining of Massive Datasets
3
-
Professional Elective -IV
3
0
0
70
30
0
0
100
3174303
Cyber Forensics
3
-
Professional Elective -IV
3
0
0
70
30
0
0
100
GTU BE Artificial Intelligence and Data Science Syllabus
From the below table, students can download GTU Artificial Intelligence and Data Science 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 Artificial Intelligence and Data Science Syllabus PDFs
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