GTU Latest 2026 Computer Science & Engineering (Artificial Intelligence and Machine Learning) Sem 5 Syllabus for all subjects pdfs download.
The GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus for the year 2026 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2026 updated syllabus is essential for students as they prepare for their semester exams, providing them with a clear understanding of the topics to be covered and the distribution of marks for theory and practical exams.
GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 5
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
50
0
150
-
BE05000441
Application of Remote Sensing and GIS in Engineering
2
Multidisciplinary Open Professional Electives Courses
30
30
0
0
70
30
20
0
120
-
BE05000451
Occupational Health & Safety Management
2
Multidisciplinary Open Professional Electives Courses
30
30
0
0
70
30
20
0
120
-
BE05000471
Oil Hydraulics and Pneumatics
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000481
Project Management
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000491
Introduction to Biomedical Technology
2
Multidisciplinary Open Professional Electives Courses
30
0
0
30
70
30
30
0
130
-
BE05000501
Instrumentation and Measurement Techniques
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000511
Computer Organization & Architecture
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
30
0
130
-
BE05000521
Sustainability and Circularity in Textile Industry
2
Multidisciplinary Open Professional Electives Courses
30
0
30
0
70
30
20
50
170
-
BE05000531
Electronics and Automation in Textile Manufacturing
2
Multidisciplinary Open Professional Electives Courses
30
0
30
0
70
30
20
50
170
-
BE05000541
Fundamental of Power Electronics
2
Multidisciplinary Open Professional Electives Courses
45
0
0
15
70
30
50
0
150
Effective From: 01-01-2026 +
Subject Code
Subject Name
Credits
Category
Teaching Scheme
Examination Marks
Total Marks
L
T
P
Theory Marks
Practical Marks
ESE (E)
PA (M)
PA (I)
ESE Viva (V)
-
noc26-cs84
The Joy of Computing using Python
3
PEC-01 (MOOC)
3
0
0
100
0
0
0
100
-
noc26-mg64
Business Analytics and Data Mining Modeling using R
3
PEC-02 (MOOC)
3
0
0
100
0
0
0
100
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
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
3154207
Cyber Security
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
In conclusion, the GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus for 2026 plays a vital role in guiding students at Gujarat Technical University towards academic success. By providing a comprehensive outline of the subjects, mark distribution, and learning objectives for each subject, the syllabus equips students with the necessary knowledge and understanding to excel in their exams.
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