Curriculum Overview
The Engineering program at Malwanchal University Indore is meticulously designed to provide a balanced mix of theoretical knowledge and practical skills. The curriculum spans eight semesters, with each semester building upon the previous one to create a comprehensive understanding of engineering principles.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Graphics & Design | 2-1-0-3 | - |
| 1 | ENG105 | Programming & Problem Solving | 2-1-0-3 | - |
| 1 | ENG106 | Introduction to Engineering | 2-0-0-2 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits & Systems | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Mechanics of Materials | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Computer Programming Lab | 0-0-3-1 | ENG105 |
| 2 | ENG206 | Engineering Workshop | 0-0-3-1 | - |
| 3 | ENG301 | Fluid Mechanics & Hydraulic Machines | 3-1-0-4 | ENG203 |
| 3 | ENG302 | Signals & Systems | 3-1-0-4 | ENG201 |
| 3 | ENG303 | Electromagnetic Fields & Waves | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Material Science & Engineering | 3-1-0-4 | ENG103 |
| 3 | ENG305 | Digital Logic & Design | 3-1-0-4 | ENG202 |
| 3 | ENG306 | Engineering Economics & Management | 3-1-0-4 | - |
| 3 | ENG307 | Project I (Mini Project) | 0-0-6-2 | - |
| 4 | ENG401 | Control Systems | 3-1-0-4 | ENG302 |
| 4 | ENG402 | Power Engineering | 3-1-0-4 | ENG202 |
| 4 | ENG403 | Manufacturing Processes | 3-1-0-4 | ENG304 |
| 4 | ENG404 | Structural Analysis | 3-1-0-4 | ENG304 |
| 4 | ENG405 | Heat Transfer | 3-1-0-4 | ENG203 |
| 4 | ENG406 | Environmental Engineering | 3-1-0-4 | - |
| 4 | ENG407 | Project II (Mini Project) | 0-0-6-2 | - |
| 5 | ENG501 | Advanced Data Structures & Algorithms | 3-1-0-4 | ENG205 |
| 5 | ENG502 | Machine Learning | 3-1-0-4 | ENG302 |
| 5 | ENG503 | Embedded Systems | 3-1-0-4 | ENG305 |
| 5 | ENG504 | Computer Networks | 3-1-0-4 | ENG302 |
| 5 | ENG505 | Cybersecurity | 3-1-0-4 | ENG302 |
| 5 | ENG506 | Artificial Intelligence | 3-1-0-4 | ENG502 |
| 5 | ENG507 | Project III (Mini Project) | 0-0-6-2 | - |
| 6 | ENG601 | Advanced Power Electronics | 3-1-0-4 | ENG402 |
| 6 | ENG602 | Advanced Control Systems | 3-1-0-4 | ENG401 |
| 6 | ENG603 | Nanotechnology | 3-1-0-4 | ENG304 |
| 6 | ENG604 | Advanced Manufacturing Techniques | 3-1-0-4 | ENG403 |
| 6 | ENG605 | Renewable Energy Systems | 3-1-0-4 | ENG402 |
| 6 | ENG606 | Biomedical Engineering | 3-1-0-4 | - |
| 6 | ENG607 | Project IV (Mini Project) | 0-0-6-2 | - |
| 7 | ENG701 | Final Year Project (Capstone) | 0-0-12-8 | - |
| 7 | ENG702 | Research Methodology & Ethics | 3-1-0-4 | - |
| 7 | ENG703 | Advanced Topics in Engineering | 3-1-0-4 | - |
| 8 | ENG801 | Final Year Project (Capstone) | 0-0-12-8 | - |
| 8 | ENG802 | Industrial Training | 0-0-12-4 | - |
| 8 | ENG803 | Entrepreneurship & Innovation | 3-1-0-4 | - |
Detailed Course Descriptions
The department's approach to education is centered around project-based learning, where students engage in hands-on experiences that bridge theory and practice. Advanced elective courses are offered in each specialization track, designed to deepen technical expertise while fostering innovation and entrepreneurship.
Advanced Data Structures & Algorithms: This course covers advanced concepts in algorithm design and analysis, including dynamic programming, graph algorithms, and complexity theory. Students develop skills in designing efficient algorithms for complex problems, preparing them for roles in software development and competitive programming.
Machine Learning: Students learn fundamental machine learning techniques such as supervised and unsupervised learning, neural networks, decision trees, clustering, and reinforcement learning. The course includes practical applications using Python libraries like scikit-learn and TensorFlow, with real-world datasets.
Embedded Systems: This course explores the design and implementation of embedded systems for various applications, including microcontrollers, sensors, actuators, and real-time operating systems. Students build functional embedded systems and learn how to optimize performance under resource constraints.
Computer Networks: The course covers network architecture, protocols, security, and management, providing students with a comprehensive understanding of how data is transmitted across networks. Topics include TCP/IP, routing, wireless networks, and network administration.
Cybersecurity: This course introduces students to the principles and practices of cybersecurity, including cryptography, network security, system security, and risk management. Students gain practical experience in identifying vulnerabilities and implementing protective measures against cyber threats.
Artificial Intelligence: Focused on AI applications, this course covers knowledge representation, reasoning, planning, and natural language processing. Students implement AI systems for problem-solving and decision-making, preparing them for careers in AI research and development.
Advanced Power Electronics: The course explores advanced power conversion techniques, including inverters, rectifiers, and power supplies. Students gain hands-on experience with switching devices, power factor correction, and grid integration of renewable energy sources.
Advanced Control Systems: This course delves into modern control theory, including state-space methods, optimal control, and robust control. Students apply these concepts to real-world systems such as robotics, automotive controls, and industrial processes.
Nanotechnology: Students explore the science and engineering of materials at the nanoscale, covering topics such as quantum mechanics, nanomaterials synthesis, and applications in electronics, medicine, and energy. The course includes laboratory sessions on characterization techniques.
Advanced Manufacturing Techniques: This course introduces students to modern manufacturing technologies, including additive manufacturing, precision machining, and automation systems. Students learn about process optimization and quality control in advanced manufacturing environments.
Renewable Energy Systems: The course focuses on solar, wind, hydroelectric, and biomass energy conversion systems. Students study the design, implementation, and economics of renewable energy projects, gaining insights into policy frameworks and market dynamics.
Biomedical Engineering: This interdisciplinary course combines engineering principles with biological sciences to solve medical problems. Topics include biomechanics, bioinstrumentation, tissue engineering, and medical imaging, preparing students for careers in healthcare technology and pharmaceuticals.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a core component of the educational experience. Students begin working on projects from their first year, progressing through increasingly complex challenges that require integration of multiple disciplines.
Mini Projects (Semesters 3-6): Each semester includes two mini projects designed to reinforce classroom learning and develop practical skills. These projects are typically completed in teams under faculty supervision and involve research, design, prototyping, and documentation.
Final Year Capstone Project: The final year project is a comprehensive endeavor that integrates all aspects of the student's education. Students work on an original research problem or application, often collaborating with industry partners or faculty members. The project culminates in a presentation to a panel of experts and a detailed written report.
Project selection involves extensive consultation between students and faculty mentors, ensuring alignment with individual interests and career goals. Students can propose their own ideas or choose from a list of suggested topics, which are carefully curated to provide meaningful challenges and learning outcomes.
Evaluation criteria for projects include technical execution, innovation, teamwork, presentation quality, and adherence to deadlines. The department provides resources such as laboratory access, software licenses, and funding for materials to support student projects throughout their academic journey.