Discrete Mathematics Online Course | IIT Ropar | Prof. Sudarshan Iyengar
Course Details
| Exam Registration | 1328 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Computer Science and Engineering, Foundations of Computing, Foundations of Mathematics |
| 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 | 17 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Language of Computer Science: A Comprehensive Guide to Discrete Mathematics
In the digital age, the theoretical backbone of computer science, cryptography, algorithm design, and network theory is built upon a crucial branch of mathematics: Discrete Mathematics. Unlike calculus, which deals with continuous change, discrete mathematics focuses on distinct, separated values, making it the perfect toolkit for understanding the finite, step-by-step processes at the heart of computing. If you're an aspiring computer scientist, software engineer, or data analyst, mastering these concepts is not just beneficial—it's essential.
Your Gateway to Logical Thinking and Problem Solving
We are excited to introduce a meticulously designed 12-week online course on Discrete Mathematics, led by an exemplary educator from one of India's premier institutions. This course is crafted to transform your approach to complex problems and lay an unshakable foundation for advanced studies in technology and science.
Learn from an Esteemed Instructor: Prof. Sudarshan Iyengar
Leading this intellectual journey is Prof. Sudarshan Iyengar, an Associate Professor in the Computer Science and Engineering department at IIT Ropar. With a Ph.D. from the prestigious Indian Institute of Science (IISc), Prof. Iyengar is not only a distinguished researcher in Data Sciences, Social Computing, and Secure Computation but also a born teacher.
His passion for education is evident in his remarkable track record: delivering over 350 popular science talks to audiences ranging from high school students to advanced graduates, and offering more than 100 hours of online lectures that have reached lakhs of students nationwide. His novel teaching methodologies make abstract concepts tangible and engaging, ensuring you grasp the 'why' behind every 'what'.
Course Overview: What You Will Master
This undergraduate-level course serves as the essential primer in Discrete Mathematics for any computer science enthusiast. The emphasis is dual-fold: developing razor-sharp problem-solving skills and understanding rigorous mathematical proofs. Throughout the 12 weeks, Prof. Iyengar will provide motivational illustrations and real-world applications, connecting theory directly to practice in fields like software development, cybersecurity, and data structures.
Best of all? The course assumes no formal prerequisites beyond high-school level arithmetic and algebra. It is open to any interested learner ready to challenge their mind.
Detailed 12-Week Course Layout
Follow this structured path from fundamental principles to advanced topics:
| Week | Topic |
|---|---|
| Week 1 | Counting (Combinatorics) |
| Week 2 | Set Theory |
| Week 3 | Logic |
| Week 4 | Relations |
| Week 5 | Functions |
| Week 6 | Mathematical Induction and Pigeonhole Principle |
| Week 7 | Graph Theory - 01 |
| Week 8 | Graph Theory - 02 |
| Week 9 | Graph Theory - 03 and Generating Functions |
| Week 10 | Principle of Inclusion-Exclusion |
| Week 11 | Recurrence Relations |
| Week 12 | Advanced Topics |
Why This Course is a Must for Your Career
Industry Relevance: Today, every tech industry—from FAANG giants to innovative startups—seeks candidates with exceptional quantitative and logical reasoning abilities. This course directly sharpens those core aptitude skills. The concepts you learn here are directly applicable in:
- Algorithm Design & Analysis (Complexity, Optimization)
- Database Systems (Relational Algebra, Normalization)
- Cryptography & Cybersecurity (Number Theory, Logic)
- Artificial Intelligence & Machine Learning (Graph Networks, Probability)
- Software Engineering (Formal Methods, Verification)
By completing this course, you're not just learning mathematics; you're learning the operational language of computer science.
Recommended Textbooks for Deeper Learning
To complement the video lectures and assignments, the course aligns with two classic textbooks, perfect for reference and further practice:
- Discrete and Combinatorial Mathematics by Ralph P. Grimaldi
- Discrete Mathematics and its Applications by Kenneth H. Rosen
Who Should Enroll?
This course is ideally suited for:
- Undergraduate students in Computer Science, Information Technology, or Mathematics.
- Working professionals in IT looking to strengthen their theoretical foundations.
- High school graduates preparing for competitive exams or university studies in engineering.
- Any curious learner fascinated by logic, puzzles, and the mathematics behind digital technology.
Take the first step towards mastering the invisible framework that powers our digital world. Enroll in this Discrete Mathematics course today and build the logical bedrock for your future in technology.
Enroll Now →