Department of Intelligent Systems

Indian Institute of Technology Kanpur

Current Courses

Academic Year 2026–27
FOUNDATIONAL 4 Courses
CS698B Fundamentals of Data Engineering - I
Instructor: Purushottam Kar
EE605 Linear Algebra for Engineers
Instructor: Ketan Rajawat
EE621 Foundations of Probability
Instructor: WS Mondal
IS801 Recent Trends in Intelligent Systems Research [For PG & PhD Students]
Instructor: Indranil Saha
DIGITAL AI 4 Courses
CS715 Cryptographic Protocols
Instructor: Angshuman Karmakar
CS731 Blockchain Technology and Applications
Instructor: Somitra Sanadhya
CS771 Introduction to Machine Learning
Instructor: Piyush Rai
CS778 Foundations of Modern AI
Instructor: Sayak Ray Chowdhury
CPS 5 Courses
CS637 Embedded and Cyber-Physical Systems
Instructor: Indranil Saha
CS724 Sensing, Communications, and Networking for Smart Wireless Devices
Instructor: Amitangshu Pal
EE603 Machine Learning for Signal Processing and Communications
Instructor: Rohit Budhiraja
EE650 Basics of Modern Control Systems
Instructor: Abhishek Patel
IS641 Perception Algorithms for Autonomous Systems
Instructor: Anirban Roy
Foundational Digital AI CPS
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
Mon
EE603 9 cr
Machine Learning for Signal Processing and Communications
08:00–09:00 L10
CS637 9 cr
Embedded and Cyber-Physical Systems
10:30–12:00 RM101
CS715 9 cr
Cryptographic Protocols
15:30–17:00 KD102
CS778 9 cr
Foundations of Modern AI
15:30–17:00 KD101
Tue
EE603 9 cr
Machine Learning for Signal Processing and Communications
09:00–10:00 L10
IS641 9 cr
Perception Algorithms for Autonomous Systems
11:00–12:00 TB205
CS715 9 cr
Cryptographic Protocols
14:00–15:15 KD102
CS778 9 cr
Foundations of Modern AI
14:00–15:15 KD101
Wed
EE621 9 cr
Foundations of Probability
09:00–10:15 L12
EE605 9 cr
Linear Algebra for Engineers
10:30–12:00 L03
CS731 9 cr
Blockchain Technology and Applications
10:30–12:00 KD103
CS724 9 cr
Sensing, Communications, and Networking for Smart Wireless Devices
12:00–13:15 KD102
IS641 9 cr
Perception Algorithms for Autonomous Systems
16:00–17:00 TB205
CS771 12 cr
Introduction to Machine Learning
18:15–19:30 L20
EE650 9 cr
Basics of Modern Control Systems
18:15–19:30 L10
Thu
CS637 9 cr
Embedded and Cyber-Physical Systems
10:30–12:00 RM101
Fri
EE603 9 cr
Machine Learning for Signal Processing and Communications
08:00–09:00 L10
EE621 9 cr
Foundations of Probability
09:00–10:15 L12
EE605 9 cr
Linear Algebra for Engineers
10:30–12:00 L03
CS731 9 cr
Blockchain Technology and Applications
10:30–12:00 KD103
CS724 9 cr
Sensing, Communications, and Networking for Smart Wireless Devices
12:00–13:15 KD102
IS641 9 cr
Perception Algorithms for Autonomous Systems
16:00–17:00 TB205
CS771 12 cr
Introduction to Machine Learning
18:15–19:30 L20
EE650 9 cr
Basics of Modern Control Systems
18:15–19:30 L10
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
Monday
EE603 9 cr
Machine Learning for Signal Processing and Communications
08:00–09:00 L10
CS637 9 cr
Embedded and Cyber-Physical Systems
10:30–12:00 RM101
CS715 9 cr
Cryptographic Protocols
15:30–17:00 KD102
CS778 9 cr
Foundations of Modern AI
15:30–17:00 KD101
Tuesday
EE603 9 cr
Machine Learning for Signal Processing and Communications
09:00–10:00 L10
IS641 9 cr
Perception Algorithms for Autonomous Systems
11:00–12:00 TB205
CS715 9 cr
Cryptographic Protocols
14:00–15:15 KD102
CS778 9 cr
Foundations of Modern AI
14:00–15:15 KD101
Wednesday
EE621 9 cr
Foundations of Probability
09:00–10:15 L12
EE605 9 cr
Linear Algebra for Engineers
10:30–12:00 L03
CS731 9 cr
Blockchain Technology and Applications
10:30–12:00 KD103
CS724 9 cr
Sensing, Communications, and Networking for Smart Wireless Devices
12:00–13:15 KD102
IS641 9 cr
Perception Algorithms for Autonomous Systems
16:00–17:00 TB205
CS771 12 cr
Introduction to Machine Learning
18:15–19:30 L20
EE650 9 cr
Basics of Modern Control Systems
18:15–19:30 L10
Thursday
CS637 9 cr
Embedded and Cyber-Physical Systems
10:30–12:00 RM101
Friday
EE603 9 cr
Machine Learning for Signal Processing and Communications
08:00–09:00 L10
EE621 9 cr
Foundations of Probability
09:00–10:15 L12
EE605 9 cr
Linear Algebra for Engineers
10:30–12:00 L03
CS731 9 cr
Blockchain Technology and Applications
10:30–12:00 KD103
CS724 9 cr
Sensing, Communications, and Networking for Smart Wireless Devices
12:00–13:15 KD102
IS641 9 cr
Perception Algorithms for Autonomous Systems
16:00–17:00 TB205
CS771 12 cr
Introduction to Machine Learning
18:15–19:30 L20
EE650 9 cr
Basics of Modern Control Systems
18:15–19:30 L10
FOUNDATIONAL 3 Courses
CS698F Fundamentals of Data Engineering - Part II (Things)
Instructor: Purushottam Kar
EE609 Convex Optimization for Signal Processing and Communications
Instructor: Rohit Budhiraja
IS888 Introduction to Profession and Communication [For PhD Students]
Instructor: Indranil Saha
DIGITAL AI 6 Courses
CS657 Information Retrieval
Instructor: Rajiv Ratn Shah
CS729 Differential Privacy in Machine Learning
Instructor: Sayak Ray Chowdhury
CS772 Probabilistic Machine Learning
Instructor: Piyush Rai
CS776 Deep Learning for Computer Vision
Instructor: Priyanka Bagade
or
EE655 Computer Vision and Deep Learning
Instructor: Koteswar Rao
CS780 Deep Reinforcement Learning
Instructor: Ashutosh Modi
or
EE675 Introduction to Reinforcement Learning
Instructor: Swami Peruru
IS731 Testing and Verification of AI-Driven Systems
Instructor: Indranil Saha
CPS 6 Courses
EE698P Signal Processing and Machine Learning for 6G Technologies
Instructor: Aditya Jagannathan
EE798T UAV Communications
Instructor: Ketan Rajawat
IS641 Robot Dynamics
Instructor: Shakti S. Gupta
IS742 Principles of Navigation techniques for autonomous systems
Instructor: Anirban Roy
IS743 Intelligent Control Systems
Instructor: Salahudden
IS746 Safe Learning and Control under Uncertainty
Instructor: Ashwin Verma

Will be updated soon...