The B Tech CSE AI Syllabus for the academic year 2023-24 outlines the curriculum for Computer Science and Engineering with a focus on Artificial Intelligence. This syllabus includes core courses such as Programming in C, Engineering Physics, and Mathematics, along with lab components and elective options. Students will explore essential topics in AI, machine learning, and data structures, preparing them for advanced studies and careers in technology. The syllabus is designed for undergraduate students pursuing a Bachelor of Technology in Computer Science and Engineering, ensuring a comprehensive understanding of both theoretical and practical aspects of AI.

Key Points

  • Includes core courses like Programming in C and Engineering Physics
  • Focuses on Artificial Intelligence and machine learning topics
  • Outlines lab components for hands-on experience in programming
  • Designed for undergraduate students in Computer Science and Engineering
Aditi Singh
148 pages
Language:English
Type:Syllabus
Art History
Aditi Singh
148 pages
Language:English
Type:Syllabus
Art History
261
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BABU BANARASI DAS UNIVERSITY
School of Enginee ring
(School Code: 04)
De partme n t of Computer Science an d Engineering
(University Branch Code: 39)
Bachelor of Technol o gy: Co mputer Science and
Engineering
(Artificial
Intelligen ce)
Evaluation Scheme
SEMESTER I
Course
Category
Course
Code
Code Title
Contact
Hours
Evaluation Scheme
Credits
T
P
CIA
ESE
Course
Total
BSC
NBS4101
Matrices and Calculus
1
0
40
60
100
4
ESC
NCS4101
Computer Concepts &
Programming in C
0
0
40
60
100
3
ESC
NCS4151
Programming in C Lab
0
2
40
60
100
1
Students need to select either GROUP 'A'
or GROUP 'B'
NGP4101
General Proficiency
100
100
1
Total
1
2
220
180
400
9
GROUP 'A'
Course
Category
Course
Code
Code Title
Contact
Hours
Evaluation Scheme
Credits
L
T
P
CIA
ESE
Course
Total
BSC
NBS4102
Engineering Physics
3
1
0
40
60
100
4
ESC
NME4101
Engineering Mechanics
3
1
0
40
60
100
4
ESC
NEC4101
Basic Electronics
Engineering
3
0
0
40
60
100
3
CCC
NBSCC1101
Environment &
Ecological Sustainability
3
0
0
40
60
100
3
ESC
NME4151
Engineering Mechanics
Lab
0
0
2
40
60
100
1
ESC
NME4152
Workshop Practices
0
0
2
40
60
100
1
BSC
NBS4152
Engineering Physics Lab
0
0
2
40
60
100
1
Total
12
2
6
280
420
700
17
1
GROUP 'B'
Course
Category
Course
Code
Code Title
Contact
Hours
Evaluation Scheme
Credits
L
T
P
CIA
ESE
Course
Total
ESC
NEE4101
Basic Electrical
Engineering
3
1
0
40
60
100
4
BSC
NBS4103
Engineering
Chemistry
3
1
0
40
60
100
4
ESC
NCS4102
Basics of Artificial
Intelligence
3
0
0
40
60
100
3
CCC
NHSCC1101
Communicative
English
2
1
0
40
60
100
3
ESC
NEE4151
Basic Electrical
Engineering Lab
0
0
2
40
60
100
1
BSC
NBS4153
Engineering
Chemistry Lab
0
0
2
40
60
100
1
ESC
NME4153
Engineering Graphics
Lab
0
0
2
40
60
100
1
Total
11
3
6
280
420
700
17
2
Category
SEMESTER II
Course
Category.
Course
Code
Code Title
Contact
Hours
Evaluation Scheme
Credits
L
T
P
CIA
ESE
Course
Total
BSC
NBS4201
Differential Equations
and Fourier Analysis
3
1
0
40
60
100
4
ESC
NCS4201
Programming
Concepts with Python
3
0
0
40
60
100
3
ESC
NCS4251
Python Programming
Lab
0
0
2
40
60
100
1
Students need to select either GROUP
'A' or GROUP 'B'
NGP4201
General Proficiency
100
100
1
Total
6
1
2
220
180
400
9
Note: Students who have selected group ‘A’ in the first semester will select group ‘B’ in the second
semester and vice-versa.
GROUP 'A'
Course
Course
Code
Code Title
Contact
Hours
Evaluation Scheme
Credits
L
T
P
CIA
ESE
Course
Total
BSC
NBS4202
Engineering Physics
3
1
0
40
60
100
4
ESC
NME4201
Engineering Mechanics
3
1
0
40
60
100
4
ESC
NEC4201
Basic Electronics
Engineering
3
0
0
40
60
100
3
CCC
NBSCC1201
Environment &
Ecological Sustainability
3
0
0
40
60
100
3
ESC
NME4251
Engineering Mechanics
Lab
0
0
2
40
60
100
1
ESC
NME4252
Workshop Practices
0
0
2
40
60
100
1
BSC
NBS4252
Engineering Physics Lab
0
0
2
40
60
100
1
Total
12
2
6
280
420
700
17
3
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FAQs

What are the core courses in the B Tech CSE AI syllabus?
The core courses in the B Tech CSE AI syllabus include Programming in C, Engineering Physics, and Mathematics. These foundational subjects are essential for building a strong understanding of computer science principles. Additionally, students will engage in lab work to apply theoretical knowledge practically. The curriculum is structured to provide a balanced education in both theoretical concepts and practical skills.
How does the syllabus prepare students for careers in AI?
The syllabus is designed to equip students with essential knowledge and skills in Artificial Intelligence and related fields. It covers topics such as machine learning, data structures, and algorithms, which are critical for a career in AI. By integrating practical lab sessions with theoretical coursework, students gain hands-on experience that enhances their employability in the tech industry.
What elective options are available in the B Tech CSE AI program?
The B Tech CSE AI program offers various elective options that allow students to tailor their education to their interests. These electives may include advanced topics in AI, data science, and software development. By choosing electives, students can focus on specific areas of technology that align with their career goals and aspirations.
What is the evaluation scheme for the courses in this syllabus?
The evaluation scheme for the courses in the B Tech CSE AI syllabus typically includes Continuous Internal Assessment (CIA) and End Semester Examination (ESE) components. Each course is assigned credits and a grading system based on performance in assignments, lab work, and exams. This structure ensures that students are assessed on both their theoretical understanding and practical application of knowledge.

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