| Sno |
regulation |
branch |
year |
semester |
subject_code |
name |
credits |
category |
| 1 |
R20AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
20A30702b |
AI for Image Analysis |
3.0 |
Theory |
| 2 |
R20AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
2 |
Project |
JyothsnaLead/Project |
6.0 |
Project |
| 3 |
R20AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
2 |
Project |
SHAIK ANEEF |
6.0 |
Project |
| 4 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
1 |
1 |
23A51202T |
CHEMISTRY |
3.0 |
Theory |
| 5 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
1 |
1 |
23A54101 |
LINEAR ALGEBRA & CALCULUS |
3.0 |
Theory |
| 6 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
1 |
23A05303T |
Object Oriented Programming Through Java |
0.0 |
Theory |
| 7 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
1 |
23A05304 |
Python Programming |
2.0 |
Skill |
| 8 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
1 |
23A31301T |
ARTIFICIAL INTELLIGENCE |
3.0 |
Theory |
| 9 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A05402P |
Database Management Systems Lab |
1.5 |
Lab |
| 10 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A05402T |
Database Management Systems |
3.0 |
Theory |
| 11 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A30402 |
Digital Logic and Computer Organization |
3.0 |
Theory |
| 12 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A31401T |
Machine Learning |
3.0 |
Theory |
| 13 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A31403 |
AI & ML Lab |
1.5 |
Lab |
| 14 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A52402e |
OPTIMIZATION TECHNIQUES |
2.0 |
Theory |
| 15 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A54401 |
Probability & Statistics |
3.0 |
Theory |
| 16 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
2 |
2 |
23A99401 |
DESIGN THINKING FOR INNOVATION |
2.0 |
Theory |
| 17 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A05506 |
FULL STACK DEVELOPMENT-II |
2.0 |
Skill |
| 18 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A30503a |
DATA VISUALIZATION |
3.0 |
Theory |
| 19 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A31501 |
NATURAL LANGUAGE PROCESSING |
3.0 |
Theory |
| 20 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A32501T |
Applied Machine Learning |
3.0 |
Theory |
| 21 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A39501 |
Data Wrangling & Preprocessing |
3.0 |
Theory |
| 22 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
1 |
23A39504 |
Data Wrangling Lab |
3.0 |
Theory |
| 23 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
2 |
23A05503 |
INTRODUCTION TO QUANTUM TECHNOLOGIES AND APPLICATIONS |
3.0 |
Theory |
| 24 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
2 |
23A39602 |
AI for Edge Computing |
3.0 |
Theory |
| 25 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
2 |
23A39603 |
BIG DATA |
3.0 |
Theory |
| 26 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
3 |
2 |
23A39605 |
EDGE COMPUTING LAB |
1.5 |
Lab |
| 27 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A05703 |
PROMPT ENGINEERING |
2.0 |
Skill |
| 28 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A30703b |
DRONE TECHNOLOGY |
3.0 |
Theory |
| 29 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A30703c |
ROBOTICS |
3.0 |
Theory |
| 30 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A31701 |
GENERATIVE AI & PROMPT ENGINEERING |
3.0 |
Theory |
| 31 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A31702b |
AI FOR ROBOTICS |
3.0 |
Theory |
| 32 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A31702c |
AI IN CYBERSECURITY |
3.0 |
Theory |
| 33 |
R23AIML |
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) |
4 |
1 |
23A39702 |
SMART SYSTEMS |
3.0 |
Theory |
| 34 |
R20CSE |
Computer Science Engineering (CSE) |
4 |
1 |
20A05706 |
Mobile Application Development Lab |
3.0 |
Lab |
| 35 |
R23CSE |
Computer Science Engineering (CSE) |
2 |
1 |
23A05302T |
Advanced Data Structures and Algorithms Analysis |
3.0 |
Theory |
| 36 |
R23CSE |
Computer Science Engineering (CSE) |
2 |
2 |
23A52401 |
Full Stack Development-1 |
2.0 |
Skill |
| 37 |
R23CSE |
Computer Science Engineering (CSE) |
3 |
1 |
23A05501P |
COMPUTER NETWORKS & INTERNET PROTOCOLS LAB |
3.0 |
Lab |
| 38 |
R23CSE |
Computer Science Engineering (CSE) |
3 |
1 |
23A05501T |
COMPUTER NETWORKS & INTERNET PROTOCOLS |
3.0 |
Theory |
| 39 |
R23ECE |
Electronics & Communication Engineering (ECE) |
3 |
2 |
23A04607 |
MACHINE LEARNING AND DSP (SEC-IV) |
2.0 |
Skill |