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Fees
₹75,000
Placement
95.0%
Avg Package
₹1,50,000
Highest Package
₹3,00,000
Fees
₹75,000
Placement
95.0%
Avg Package
₹1,50,000
Highest Package
₹3,00,000
Seats
180
Students
180
Seats
180
Students
180
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CH-101 | Engineering Mathematics I | 3-0-0-3 | - |
| 1 | CH-102 | Engineering Physics | 3-0-0-3 | - |
| 1 | CH-103 | Basic Chemistry | 3-0-0-3 | - |
| 1 | CH-104 | Introduction to Computer Programming | 2-0-0-2 | - |
| 1 | CH-105 | Engineering Graphics & Design | 2-0-0-2 | - |
| 1 | CH-106 | Basic Electrical & Electronics | 3-0-0-3 | - |
| 2 | CH-201 | Engineering Mathematics II | 3-0-0-3 | CH-101 |
| 2 | CH-202 | Chemistry of Materials | 3-0-0-3 | CH-103 |
| 2 | CH-203 | Fluid Mechanics & Hydraulic Machines | 3-0-0-3 | CH-102 |
| 2 | CH-204 | Heat Transfer Principles | 3-0-0-3 | CH-102 |
| 2 | CH-205 | Mass Transfer Operations | 3-0-0-3 | CH-103 |
| 2 | CH-206 | Chemical Process Calculations | 3-0-0-3 | CH-103 |
| 3 | CH-301 | Chemical Reaction Engineering I | 3-0-0-3 | CH-206 |
| 3 | CH-302 | Process Equipment Design | 3-0-0-3 | CH-205 |
| 3 | CH-303 | Plant Design & Economics | 3-0-0-3 | CH-206 |
| 3 | CH-304 | Environmental Engineering | 3-0-0-3 | CH-205 |
| 3 | CH-305 | Separation Processes | 3-0-0-3 | CH-205 |
| 3 | CH-306 | Chemical Engineering Laboratory I | 0-0-6-3 | - |
| 4 | CH-401 | Chemical Reaction Engineering II | 3-0-0-3 | CH-301 |
| 4 | CH-402 | Process Control & Instrumentation | 3-0-0-3 | CH-204 |
| 4 | CH-403 | Energy & Mass Balances | 3-0-0-3 | CH-206 |
| 4 | CH-404 | Bioprocess Engineering | 3-0-0-3 | CH-206 |
| 4 | CH-405 | Nanotechnology Applications | 3-0-0-3 | CH-203 |
| 4 | CH-406 | Chemical Engineering Laboratory II | 0-0-6-3 | - |
| 5 | CH-501 | Data Analytics for Chemical Processes | 3-0-0-3 | CH-201 |
| 5 | CH-502 | Green Process Design | 3-0-0-3 | CH-301 |
| 5 | CH-503 | Sustainable Energy Systems | 3-0-0-3 | CH-204 |
| 5 | CH-504 | Advanced Materials Science | 3-0-0-3 | CH-202 |
| 5 | CH-505 | Process Optimization Techniques | 3-0-0-3 | CH-301 |
| 5 | CH-506 | Chemical Engineering Laboratory III | 0-0-6-3 | - |
| 6 | CH-601 | Final Year Project / Thesis | 0-0-12-6 | - |
| 6 | CH-602 | Industrial Internship | 0-0-12-3 | - |
Departmental electives offer students the opportunity to specialize in emerging areas of chemical engineering. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry trends.
This course delves deeper into advanced topics in reaction kinetics, reactor design, and catalysis. Students learn about complex reactions, multiphase reactors, and industrial applications of catalytic processes. The course emphasizes modeling and simulation techniques for predicting reactor performance under varying conditions.
This elective introduces students to the principles of process control systems, including feedback and feedforward control, PID controllers, and automation technologies. Practical sessions involve working with PLCs, SCADA systems, and simulation software to implement control strategies in real-world scenarios.
This course explores the application of chemical engineering principles in biological systems. Topics include fermentation processes, bioreactor design, enzyme kinetics, and downstream processing. Students gain hands-on experience with biotechnology equipment and learn to optimize bioprocesses for pharmaceutical and food applications.
Students explore the synthesis and characterization of nanomaterials, their properties, and applications in chemical engineering. This course covers topics such as quantum dots, carbon nanotubes, and nanocomposites. Hands-on laboratory sessions provide experience with advanced instrumentation like SEM, TEM, and AFM.
This elective focuses on using statistical methods, machine learning algorithms, and data visualization tools to analyze chemical processes. Students learn to develop predictive models, perform regression analysis, and optimize process parameters using real-world datasets from industrial environments.
This course emphasizes sustainable design principles in chemical engineering. Students learn about green chemistry concepts, life cycle assessment, waste minimization strategies, and eco-friendly process development. The curriculum includes case studies of successful green initiatives in the industry.
Students examine renewable energy technologies such as solar, wind, hydroelectric, and biomass systems. The course covers energy conversion principles, storage technologies, and integration strategies for sustainable energy solutions. Practical projects involve designing small-scale renewable energy systems.
This elective provides in-depth knowledge of advanced materials including polymers, ceramics, metals, and composites. Students study material synthesis, characterization techniques, and performance evaluation methods. Laboratory sessions focus on testing mechanical properties and thermal behavior of various materials.
This course teaches optimization algorithms and methodologies applicable to chemical processes. Students learn about linear programming, nonlinear programming, genetic algorithms, and neural networks for process optimization. The curriculum includes case studies from real industrial applications.
The department strongly believes in experiential learning through project-based assignments. This approach enhances problem-solving skills, promotes teamwork, and bridges the gap between academic knowledge and industry practices.
Mini-projects are assigned during the third and fourth semesters. These projects focus on specific aspects of chemical engineering such as process design, simulation, or experimental analysis. Students work in teams under faculty supervision, developing a comprehensive project report and presentation.
The final-year project is a significant undertaking that allows students to integrate their learning into a meaningful research or development initiative. Projects are selected based on student interest and faculty expertise. The thesis involves extensive literature review, experimental work, data analysis, and documentation.
Students can choose projects from available options or propose their own ideas after consultation with faculty mentors. Selection criteria include feasibility, relevance to current industry trends, and alignment with student interests. Faculty members guide students in refining their project scope and methodology.
