Computational Process Design Course | IIT Delhi | Chemical Engineering
Course Details
| Exam Registration | 57 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 8 weeks |
| Categories | Chemical Engineering, Computational Chemical Engineering |
| Credit Points | 2 |
| Level | Undergraduate |
| Start Date | 16 Feb 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 16 Feb 2026 |
| Exam Registration Ends | 27 Feb 2026 |
| Exam Date | 24 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Future of Chemical Engineering with Computational Process Design
The field of chemical engineering is undergoing a profound transformation, driven by the power of computation. Computational Process Design stands at the forefront of this revolution, enabling engineers to create more efficient, sustainable, and cost-effective processes. This comprehensive 8-week course, offered by distinguished faculty from the Indian Institute of Technology Delhi (IIT Delhi), provides a deep dive into the methodologies that are reshaping how we design chemical plants and processes.
Course Overview: Bridging Theory and Advanced Computation
This undergraduate-level course is meticulously structured to take learners from the foundational principles of process analysis to the cutting-edge techniques of sustainable design and optimization. Over eight intensive weeks, participants will learn to synthesize and evaluate process flowsheets, integrate heat and power systems, design reactor networks, and incorporate sustainability metrics directly into the design phase.
The curriculum is designed for UG Chemical Engineering students and professionals seeking to upgrade their skills. A background in Numerical Methods and Transport Phenomena is recommended to fully grasp the advanced concepts covered.
Learn from IIT Delhi's Leading Experts
The course is led by two renowned associate professors who bring a wealth of research and practical expertise to the classroom.
Prof. Hariprasad Kodamana (Dept. of Chemical Engineering & Yardi School of AI, IIT Delhi) specializes in Machine Learning, Optimization, Graphs, Predictive Control, and Process Monitoring. His involvement ensures the course integrates modern AI and data-driven techniques into traditional process design.
Prof. Manojkumar Ramteke (Dept. of Chemical Engineering & Yardi School of AI, IIT Delhi) brings expertise in Multi-objective Optimization, Scheduling, Machine Learning, and Novel Computing Methods. His focus ensures learners understand how to balance competing design objectives for optimal solutions.
Detailed 8-Week Course Layout
| Week | Core Topic | Key Learning Outcomes |
|---|---|---|
| Week 1 | Flowsheet Synthesis, Mass & Energy Balance | Establish the fundamental building blocks for process analysis and simulation. |
| Week 2 | Design of Batch Plants & Simulations | Apply simulation tools for dynamic process design and analysis. |
| Week 3 | Process Flowsheet Optimization | Use mathematical techniques to find the most efficient process configurations. |
| Week 4 | Heat and Power Integration | Design integrated utility systems to minimize energy consumption and cost. |
| Week 5 | Reactor Network Synthesis | Systematically design optimal reactor configurations for given reactions. |
| Week 6 | Operability and Process Scheduling | Ensure designs are practical, operable, and efficiently scheduled. |
| Week 7 | Quantifying Sustainability for Design | Learn metrics and methods to assess environmental impact and sustainability. |
| Week 8 | Sustainable Process Design | Integrate sustainability principles into the core process synthesis framework. |
Essential Reference Books
The course draws from seminal texts in the field, providing a strong theoretical foundation alongside practical computational techniques:
- Systematic Methods of Chemical Process Design by Biegler, Grossmann, and Westerberg (Prentice Hall).
- Chemical Process Design and Integration by Robin Smith (John Wiley & Sons).
- Sustainable Design Through Process Integration by Mahmoud M. El-Halwagi (Elsevier).
- Sustainable Engineering: Principles and Practice by Bhavik R. Bakshi (Cambridge University Press).
Who Should Enroll and Industry Relevance
This course is ideally suited for:
- Undergraduate students in Chemical Engineering.
- Process engineers in industry looking to formalize or update their computational design skills.
- Researchers beginning work in process systems engineering.
Industry Support: The skills taught are directly applicable and highly valued across all chemical process industries, including petrochemicals, pharmaceuticals, specialty chemicals, and energy. Proficiency in computational design is critical for developing competitive, sustainable, and safe industrial processes.
Conclusion: Building the Next Generation of Process Engineers
The Computational Process Design course from IIT Delhi is more than just a series of lectures; it's a gateway to mastering the tools that define modern chemical engineering. By combining rigorous process fundamentals with advanced optimization, integration, and sustainability principles—all taught by experts at the intersection of chemical engineering and artificial intelligence—this program equips learners to tackle the complex design challenges of today and tomorrow. Enroll to transform your understanding of process creation and become a architect of efficient, sustainable industrial systems.
Enroll Now →