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    Scholarships & exams

    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Lovely Professional University Kapurthala
    Duration
    4 Years
    Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Lovely Professional University Kapurthala
    Duration
    Apply

    Fees

    ₹8,50,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹20,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹8,50,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹20,00,000

    Seats

    400

    Students

    3,500

    ApplyCollege

    Seats

    400

    Students

    3,500

    Curriculum

    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.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    1ENG101Engineering Mathematics I3-1-0-4-
    1PHY101Physics for Engineers3-1-0-4-
    1CHE101Chemistry for Engineers3-1-0-4-
    1MEC101Mechanics of Materials3-1-0-4-
    1CP101Introduction to Programming3-1-0-4-
    1ENG102English Communication Skills2-0-0-2-
    2ENG103Engineering Mathematics II3-1-0-4ENG101
    2PHY102Thermodynamics3-1-0-4PHY101
    2CHE102Organic Chemistry3-1-0-4CHE101
    2MEC102Strength of Materials3-1-0-4MEC101
    2CP102Data Structures and Algorithms3-1-0-4CP101
    2ENG104Technical Writing2-0-0-2-
    3ENG201Engineering Mathematics III3-1-0-4ENG103
    3PHY201Electromagnetic Fields3-1-0-4PHY102
    3CHE201Inorganic Chemistry3-1-0-4CHE102
    3MEC201Fluid Mechanics3-1-0-4MEC102
    3CP201Database Management Systems3-1-0-4CP102
    3ENG202Career Development2-0-0-2-
    4ENG203Engineering Mathematics IV3-1-0-4ENG201
    4PHY202Optics and Modern Physics3-1-0-4PHY201
    4CHE202Physical Chemistry3-1-0-4CHE201
    4MEC202Machine Design3-1-0-4MEC201
    4CP202Computer Networks3-1-0-4CP201
    4ENG204Leadership Skills2-0-0-2-
    5ENG301Probability and Statistics3-1-0-4ENG203
    5PHY301Nuclear Physics3-1-0-4PHY202
    5CHE301Biochemistry3-1-0-4CHE202
    5MEC301Heat Transfer3-1-0-4MEC202
    5CP301Operating Systems3-1-0-4CP202
    5ENG302Ethics and Social Responsibility2-0-0-2-
    6ENG303Advanced Mathematics3-1-0-4ENG301
    6PHY302Quantum Mechanics3-1-0-4PHY301
    6CHE302Environmental Chemistry3-1-0-4CHE301
    6MEC302Manufacturing Processes3-1-0-4MEC301
    6CP302Software Engineering3-1-0-4CP301
    6ENG304Entrepreneurship Development2-0-0-2-
    7ENG401Research Methodology3-1-0-4ENG303
    7PHY401Relativity and Cosmology3-1-0-4PHY302
    7CHE401Industrial Chemistry3-1-0-4CHE302
    7MEC401Advanced Dynamics3-1-0-4MEC302
    7CP401Machine Learning3-1-0-4CP302
    7ENG402Project Management2-0-0-2-
    8ENG403Final Year Project6-0-0-6ENG401
    8PHY402Advanced Topics in Physics3-1-0-4PHY401
    8CHE402Pharmaceutical Chemistry3-1-0-4CHE401
    8MEC402Advanced Manufacturing3-1-0-4MEC401
    8CP402Deep Learning3-1-0-4CP401
    8ENG404Professional Ethics2-0-0-2-

    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.