GTU Latest 2024 Computer Science & Engineering (Artificial Intelligence and Machine Learning) Sem 1 Syllabus for all subjects pdfs download.
The GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus for the year 2024 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2024 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 1
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: 2024-25 -
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)
BE01000181
Digital Fabrication Workshop
1
-
Engineering Science Courses
0
0
2
0
0
20
80
100
BE01000171
Remedial Mathematics
0
-
Core Courses
0
0
0
0
0
0
0
70
BE01000161
Integrated Personality Development Course
2
-
Humanities and Social Science, including Management Courses
2
0
0
70
30
20
30
150
BE01000151
Contributor Personality Development Program
2
-
Humanities and Social Science, including Management Courses
2
0
0
70
30
20
30
150
BE01000141
Universal Human Values
2
-
Humanities and Social Science, including Management Courses
2
0
0
70
30
20
30
150
BE01000131
Workshop and Manufacturing Practices
1
-
Engineering Science Courses
0
0
2
0
0
20
80
100
BE01000121
Programming for Problem Solving
4
-
Engineering Science Courses
2
0
4
70
30
20
30
150
BE01000111
Basic Electronics Engineering
4
-
Engineering Science Courses
3
0
2
70
30
20
30
150
BE01000101
Basic Civil Engineering
4
-
Engineering Science Courses
3
0
2
70
30
20
30
150
BE01000091
Mechanics of Solids
4
-
Engineering Science Courses
3
0
2
70
30
20
30
150
BE01000081
Basic Mechanical Engineering
4
-
Engineering Science Courses
3
0
2
70
30
20
30
150
BE01000071
Design Thinking
2
-
Engineering Science Courses
0
0
4
0
0
20
80
100
BE01000061
Engineering Graphics & Design
2
-
Engineering Science Courses
1
0
2
70
30
20
30
150
BE01000051
Basic Electrical Engineering
4
-
Engineering Science Courses
3
0
2
70
30
20
30
150
BE01000041
Mathematics-I
4
-
Basic Science Courses
3
1
0
70
30
0
0
100
BE01000031
Chemistry
4
-
Basic Science Courses
3
0
2
70
30
20
30
150
BE01000021
Physics
4
-
Basic Science Courses
3
0
2
70
30
20
30
150
BE01000011
Student Induction Program with essence of Indian Knowledge System
0
-
Mandatory Non-Credit Courses - Audit Course
0
0
0
0
0
0
0
0
Effective From: Oct - 21 +
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)
3110001
Chemistry
4
Basic Science (Elective)
3
0
2
70
30
20
30
150
Effective From: June-2020 +
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)
3110018
Physics
4
Basic Science (Elective)
3
0
2
70
30
20
30
150
3110017
Induction Program
0
-
Mandatory
0
0
0
0
0
0
0
0
3110016
Basic Electronics
4
Basic Science
3
0
2
70
30
20
30
150
3110015
Mathematics - 2
5
Basic Science
3
2
0
70
30
0
0
100
3110014
Mathematics - 1
5
Basic Science
3
2
0
70
30
0
0
100
3110013
Engineering Graphics & Design
4
Engineering Science
2
0
4
70
30
20
30
150
3110012
Workshop/ Manufacturing Practices
2
-
Engineering Science
0
0
4
0
0
20
80
100
3110007
Environmental Sciences
0
Mandatory
2
2
0
70
30
0
0
100
3110006
Basic Mechanical Engineering
4
Engineering Science
3
0
2
70
30
20
30
150
3110005
Basic Electrical Engineering
4
Engineering Science
3
0
2
70
30
20
30
150
3110003
Programming for Problem Solving
4
Engineering Science
3
0
2
70
30
20
30
150
3110002
English
3
Humanities and Social Science
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.
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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 2024 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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