Comprehensive Curriculum Overview
The curriculum of the B.Tech Engineering program at Lnct Vidhyapeeth University Indore is meticulously designed to provide a balanced blend of theoretical knowledge and practical application. It follows a structured approach that ensures students gain comprehensive understanding of core engineering principles while also allowing them to explore specialized areas of interest.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics I | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry I | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG105 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | ENG106 | Computer Programming | 2-1-0-3 | - |
| 1 | ENG107 | Technical English | 2-0-0-2 | - |
| 1 | ENG108 | Workshop Practice | 0-2-0-2 | - |
| 2 | ENG201 | Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Physics II | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Chemistry II | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG205 | Digital Electronics | 3-1-0-4 | - |
| 2 | ENG206 | Data Structures & Algorithms | 3-1-0-4 | ENG106 |
| 2 | ENG207 | Engineering Drawing | 2-1-0-3 | - |
| 2 | ENG208 | Workshop Practice II | 0-2-0-2 | ENG108 |
| 3 | ENG301 | Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Thermodynamics | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Materials Science | 3-1-0-4 | - |
| 3 | ENG304 | Mechanics of Solids | 3-1-0-4 | ENG204 |
| 3 | ENG305 | Signals & Systems | 3-1-0-4 | - |
| 3 | ENG306 | Object-Oriented Programming | 3-1-0-4 | ENG206 |
| 3 | ENG307 | Engineering Economics | 3-0-0-3 | - |
| 3 | ENG308 | Workshop Practice III | 0-2-0-2 | ENG208 |
| 4 | ENG401 | Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Fluid Mechanics | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Electrical Machines | 3-1-0-4 | - |
| 4 | ENG404 | Strength of Materials | 3-1-0-4 | ENG304 |
| 4 | ENG405 | Digital Signal Processing | 3-1-0-4 | ENG305 |
| 4 | ENG406 | Database Management Systems | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Project Management | 3-0-0-3 | - |
| 4 | ENG408 | Workshop Practice IV | 0-2-0-2 | ENG308 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Heat Transfer | 3-1-0-4 | ENG402 |
| 5 | ENG503 | Control Systems | 3-1-0-4 | - |
| 5 | ENG504 | Structural Analysis | 3-1-0-4 | ENG404 |
| 5 | ENG505 | Computer Networks | 3-1-0-4 | ENG406 |
| 5 | ENG506 | Artificial Intelligence | 3-1-0-4 | ENG406 |
| 5 | ENG507 | Operations Research | 3-0-0-3 | - |
| 5 | ENG508 | Workshop Practice V | 0-2-0-2 | ENG408 |
| 6 | ENG601 | Statistical Methods | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Refrigeration & Air Conditioning | 3-1-0-4 | - |
| 6 | ENG603 | Power Systems | 3-1-0-4 | - |
| 6 | ENG604 | Design of Experiments | 3-1-0-4 | - |
| 6 | ENG605 | Software Engineering | 3-1-0-4 | ENG506 |
| 6 | ENG606 | Mechatronics | 3-1-0-4 | - |
| 6 | ENG607 | Industrial Management | 3-0-0-3 | - |
| 6 | ENG608 | Workshop Practice VI | 0-2-0-2 | ENG508 |
| 7 | ENG701 | Advanced Control Systems | 3-1-0-4 | ENG503 |
| 7 | ENG702 | Environmental Engineering | 3-1-0-4 | - |
| 7 | ENG703 | Advanced Power Electronics | 3-1-0-4 | - |
| 7 | ENG704 | Finite Element Analysis | 3-1-0-4 | ENG504 |
| 7 | ENG705 | Machine Learning | 3-1-0-4 | ENG506 |
| 7 | ENG706 | Robotics & Automation | 3-1-0-4 | - |
| 7 | ENG707 | Economic Analysis | 3-0-0-3 | - |
| 7 | ENG708 | Workshop Practice VII | 0-2-0-2 | ENG608 |
| 8 | ENG801 | Capstone Project I | 0-0-4-4 | - |
| 8 | ENG802 | Capstone Project II | 0-0-4-4 | ENG801 |
| 8 | ENG803 | Special Topics in Engineering | 3-1-0-4 | - |
| 8 | ENG804 | Internship | 0-0-0-6 | - |
| 8 | ENG805 | Professional Ethics & Social Responsibility | 2-0-0-2 | - |
| 8 | ENG806 | Workshop Practice VIII | 0-2-0-2 | ENG708 |
Detailed Course Descriptions for Departmental Electives
Advanced departmental electives form a crucial part of the program, allowing students to specialize in areas of personal interest and professional relevance. These courses are designed to be challenging yet accessible, encouraging critical thinking and innovation.
- Artificial Intelligence (AI) - This course introduces students to machine learning algorithms, neural networks, deep learning architectures, and natural language processing. Students learn to develop intelligent systems that can adapt and improve over time.
- Cybersecurity - Focuses on protecting digital assets from threats and vulnerabilities. Topics include network security protocols, encryption techniques, risk management strategies, and ethical hacking practices.
- Renewable Energy Systems - Explores the design and implementation of solar, wind, hydroelectric, and geothermal power systems. Students study energy conversion technologies and sustainable development practices.
- Structural Engineering - Teaches students how to analyze and design buildings and infrastructure under various loads and conditions. Emphasis is placed on seismic resistance, material behavior, and construction planning.
- Biomedical Engineering - Combines engineering principles with medical sciences to create innovative healthcare solutions. Students explore prosthetics, diagnostic tools, bioinformatics, and regulatory compliance in medical device development.
- Robotics & Automation - Covers the design and implementation of robotic systems in manufacturing, healthcare, and service industries. Students gain hands-on experience with sensors, actuators, control systems, and AI integration.
- Chemical Engineering - Focuses on chemical reactions, process optimization, and industrial production methods. Students learn about catalysis, polymer science, and environmental impact assessment in manufacturing processes.
- Electrical Power Systems - Studies power generation, transmission, and distribution. Students explore renewable energy integration, smart grids, electrical machine design, and grid stability.
- Computer Vision - Introduces students to image processing techniques, pattern recognition algorithms, and computer vision applications in autonomous vehicles, surveillance systems, and medical imaging.
- Data Analytics - Teaches students how to collect, process, and interpret large datasets using statistical methods and machine learning. Applications include business intelligence, predictive analytics, and data-driven decision-making.
Project-Based Learning Philosophy
Our department strongly believes in the value of project-based learning as a means to enhance student engagement, foster creativity, and prepare them for real-world challenges. Projects are assigned at different levels throughout the program to progressively build skills and confidence.
The mandatory mini-projects in the early semesters focus on reinforcing fundamental concepts through practical application. These projects are designed to be manageable yet impactful, giving students a taste of what it means to work on engineering problems from start to finish.
As students advance, they engage in more complex and interdisciplinary capstone projects that often involve collaboration with industry partners or government agencies. The final-year thesis/capstone project is the culmination of their learning journey, requiring extensive research, design, implementation, and presentation skills.
Students select their projects based on personal interest, career goals, and faculty expertise. They are paired with mentors who guide them through each stage of the project lifecycle, from initial concept development to final evaluation. Evaluation criteria include technical proficiency, innovation, teamwork, documentation quality, and oral presentation skills.