Signals and Systems Course | IIT Mandi & IISER Bhopal | Prof. Hitesh Shrimali & Prof. Kushal Shah
Course Details
| Exam Registration | 792 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Electrical, Electronics and Communications Engineering, Communication and Signal Processing, Control and Instrumentation |
| Credit Points | 3 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 18 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Foundations of Modern Engineering: A Deep Dive into Signals and Systems
In the world of electrical, electronics, and communications engineering, few subjects are as fundamental and transformative as Signals and Systems. This discipline forms the backbone of everything from smartphone communication and audio processing to control systems and medical imaging. If you're an aspiring engineer looking to build a rock-solid foundation, a comprehensive course led by esteemed professors from India's premier institutions is now within your reach.
Course Overview: Your 12-Week Journey
This meticulously designed 12-week undergraduate course offers a complete introduction to the analysis and processing of signals and systems. The curriculum begins with continuous-time signals and systems, providing a strong conceptual base, and seamlessly transitions into an introduction to discrete-time signals and systems. This structure is ideal for students aiming to understand both classical theory and its applications in modern digital signal processing.
Intended Audience: Primarily tailored for second-year undergraduate students in engineering streams.
Prerequisites: A solid grasp of school-level mathematics and physics (10+2 level) is sufficient to embark on this learning journey.
Unique Pedagogy: To make complex concepts highly accessible, the course instruction will be delivered in Hindi, while all scientific terminology, assignments, and examinations will be in English. This bilingual approach bridges the gap for many learners.
Learn from the Best: Meet Your Instructors
The course is taught by two distinguished academics with impressive pedigrees in both industry and research.
Prof. Hitesh Shrimali - IIT Mandi
Prof. Hitesh Shrimali is an Associate Professor in the School of Computing and Electrical Engineering at IIT Mandi. His academic journey includes:
- B.E. from Nirma Institute of Technology, Ahmedabad.
- M.Tech. from IIT Kharagpur under Prof. Amit Patra.
- Ph.D. from IIT Delhi under Dr. Shouri Chatterjee.
Blending theory with practice, Prof. Shrimali gained valuable industrial experience as a Senior Design Engineer at STMicroelectronics. He further honed his expertise as a post-doctoral researcher at Università degli Studi di Milano and was associated with INFN (Istituto Nazionale di Fisica Nucleare) Milano.
Prof. Kushal K. Shah - IISER Bhopal
Prof. Kushal K. Shah is an Associate Professor in the Department of Electrical Engineering & Computer Science at IISER Bhopal. His credentials include:
- B.Tech. and Ph.D. from the Electrical Engineering Department of IIT Madras.
- Post-doctoral fellowship at the Weizmann Institute of Science, Israel.
- Previous faculty positions at Jawaharlal Nehru University (New Delhi) and IIT Delhi.
A recipient of the prestigious INAE Young Engineer Award (2014) and the GN Ramachandran fellowship, his research spans Dynamical Systems, Signal Processing, and AI. He also runs the popular YouTube channel "BEkushal", creating engaging educational content for students.
Detailed Course Layout: Week-by-Week Breakdown
| Week | Topic |
|---|---|
| Week 1 | Mathematical Preliminaries |
| Week 2 | Types of Signals and Transformations |
| Week 3 | Fourier Transform of Continuous-Time Signals |
| Week 4 | Properties of Fourier Transforms |
| Week 5 | LTI Systems |
| Week 6 | Convolution and LTI System Properties |
| Week 7 | Laplace Transform |
| Week 8 | Laplace Transform Properties |
| Week 9 | Fourier Series of Continuous-Time Periodic Signals and Properties |
| Week 10 | Discrete-Time LTI Systems and Sampling |
| Week 11 | Discrete-Time Fourier Transform (DTFT) |
| Week 12 | Z-Transform |
Why This Course is Essential for Your Career
Industry Relevance: The principles taught in this course are directly applicable in all companies dealing with signal processing. This includes telecommunications giants, consumer electronics firms, automotive companies (for control systems), defense contractors, and healthcare technology developers.
Mastering signals and systems opens doors to roles in:
- Communication System Design
- Audio and Video Processing
- Control and Instrumentation Engineering
- Radar and Sonar Systems
- Biomedical Signal Analysis
- Data Science and AI (as a foundational concept)
Recommended Textbook
The course follows the seminal text, "Signals and Systems" by Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab (2nd Edition). This book is considered the gold standard in the field and will be an invaluable companion throughout the course and your future career.
This course is more than just a syllabus; it's a gateway to understanding the language of modern technology. With expert instruction, a practical curriculum, and direct industry relevance, it represents a unique opportunity to build a powerful skill set that will serve you for a lifetime in engineering. Enroll today and take the first step towards mastering the signals that shape our world.
Enroll Now →