Course Structure Overview
The engineering program at LPU is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions. Each semester carries a specific credit load to ensure progressive learning and skill development.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | MEC101 | Mechanics of Materials | 3-1-0-4 | - |
| 1 | CP101 | Introduction to Programming | 3-1-0-4 | - |
| 1 | ENG102 | English Communication Skills | 2-0-0-2 | - |
| 2 | ENG103 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY102 | Thermodynamics | 3-1-0-4 | PHY101 |
| 2 | CHE102 | Organic Chemistry | 3-1-0-4 | CHE101 |
| 2 | MEC102 | Strength of Materials | 3-1-0-4 | MEC101 |
| 2 | CP102 | Data Structures and Algorithms | 3-1-0-4 | CP101 |
| 2 | ENG104 | Technical Writing | 2-0-0-2 | - |
| 3 | ENG201 | Engineering Mathematics III | 3-1-0-4 | ENG103 |
| 3 | PHY201 | Electromagnetic Fields | 3-1-0-4 | PHY102 |
| 3 | CHE201 | Inorganic Chemistry | 3-1-0-4 | CHE102 |
| 3 | MEC201 | Fluid Mechanics | 3-1-0-4 | MEC102 |
| 3 | CP201 | Database Management Systems | 3-1-0-4 | CP102 |
| 3 | ENG202 | Career Development | 2-0-0-2 | - |
| 4 | ENG203 | Engineering Mathematics IV | 3-1-0-4 | ENG201 |
| 4 | PHY202 | Optics and Modern Physics | 3-1-0-4 | PHY201 |
| 4 | CHE202 | Physical Chemistry | 3-1-0-4 | CHE201 |
| 4 | MEC202 | Machine Design | 3-1-0-4 | MEC201 |
| 4 | CP202 | Computer Networks | 3-1-0-4 | CP201 |
| 4 | ENG204 | Leadership Skills | 2-0-0-2 | - |
| 5 | ENG301 | Probability and Statistics | 3-1-0-4 | ENG203 |
| 5 | PHY301 | Nuclear Physics | 3-1-0-4 | PHY202 |
| 5 | CHE301 | Biochemistry | 3-1-0-4 | CHE202 |
| 5 | MEC301 | Heat Transfer | 3-1-0-4 | MEC202 |
| 5 | CP301 | Operating Systems | 3-1-0-4 | CP202 |
| 5 | ENG302 | Ethics and Social Responsibility | 2-0-0-2 | - |
| 6 | ENG303 | Advanced Mathematics | 3-1-0-4 | ENG301 |
| 6 | PHY302 | Quantum Mechanics | 3-1-0-4 | PHY301 |
| 6 | CHE302 | Environmental Chemistry | 3-1-0-4 | CHE301 |
| 6 | MEC302 | Manufacturing Processes | 3-1-0-4 | MEC301 |
| 6 | CP302 | Software Engineering | 3-1-0-4 | CP301 |
| 6 | ENG304 | Entrepreneurship Development | 2-0-0-2 | - |
| 7 | ENG401 | Research Methodology | 3-1-0-4 | ENG303 |
| 7 | PHY401 | Relativity and Cosmology | 3-1-0-4 | PHY302 |
| 7 | CHE401 | Industrial Chemistry | 3-1-0-4 | CHE302 |
| 7 | MEC401 | Advanced Dynamics | 3-1-0-4 | MEC302 |
| 7 | CP401 | Machine Learning | 3-1-0-4 | CP302 |
| 7 | ENG402 | Project Management | 2-0-0-2 | - |
| 8 | ENG403 | Final Year Project | 6-0-0-6 | ENG401 |
| 8 | PHY402 | Advanced Topics in Physics | 3-1-0-4 | PHY401 |
| 8 | CHE402 | Pharmaceutical Chemistry | 3-1-0-4 | CHE401 |
| 8 | MEC402 | Advanced Manufacturing | 3-1-0-4 | MEC401 |
| 8 | CP402 | Deep Learning | 3-1-0-4 | CP401 |
| 8 | ENG404 | Professional Ethics | 2-0-0-2 | - |
Advanced Departmental Elective Courses
Departmental electives provide students with specialized knowledge and skills relevant to their chosen specialization. These courses are designed to deepen understanding of specific domains while encouraging interdisciplinary thinking.
- Deep Learning: This course explores neural networks, convolutional architectures, recurrent networks, and transformer models. Students learn to build and train deep learning models using frameworks like TensorFlow and PyTorch.
- Cybersecurity Fundamentals: Covers encryption, network security protocols, malware analysis, and secure coding practices. The course includes hands-on labs where students simulate real-world attacks and defenses.
- Renewable Energy Systems: Focuses on solar, wind, hydroelectric, and geothermal energy technologies. Students study power generation systems, grid integration, and sustainability metrics.
- Bioinformatics: Integrates biology, computer science, and statistics to analyze biological data. Topics include genomics, proteomics, and computational modeling of biological processes.
- Control Systems Design: Teaches principles of feedback control, stability analysis, and system modeling. Students design controllers for mechanical, electrical, and process systems.
- Internet of Things (IoT) Applications: Explores sensor networks, embedded systems, cloud computing, and smart applications. Students build IoT prototypes using microcontrollers and wireless communication modules.
- Sustainable Urban Planning: Combines engineering with urban design to create sustainable cities. Students examine transportation, water management, energy efficiency, and green building practices.
- Advanced Materials Science: Studies nanomaterials, composite materials, and their applications in aerospace, electronics, and biomedical devices. Students engage in material characterization experiments.
- Robotics and Autonomous Systems: Covers robot kinematics, sensor integration, navigation algorithms, and AI for robotics. Students design and program autonomous robots for various environments.
- Power Electronics and Drives: Explores power conversion circuits, motor drives, inverters, and energy storage systems. Students study applications in electric vehicles, renewable energy, and industrial automation.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a cornerstone of engineering education at LPU. This approach ensures that students develop practical skills and gain exposure to real-world problem-solving scenarios.
Mini-projects are assigned in the third year, allowing students to apply theoretical knowledge in small-scale implementations. These projects typically span 6-8 weeks and require students to work in teams under faculty supervision.
The final-year capstone project is a comprehensive endeavor that spans the entire academic year. Students select a topic aligned with their specialization and work closely with a faculty mentor to develop an innovative solution or prototype. The project involves research, design, implementation, testing, and documentation phases.
Evaluation criteria include technical merit, creativity, teamwork, presentation skills, and adherence to industry standards. Projects are presented to panels of faculty members and industry experts, providing students with valuable feedback and networking opportunities.