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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    AutoCAD

    Gurukula Kangri Vishwavidyalaya Haridwar Faculty Of Engineering And Technology
    Duration
    4 Years
    AutoCAD UG OFFLINE

    Duration

    4 Years

    AutoCAD

    Gurukula Kangri Vishwavidyalaya Haridwar Faculty Of Engineering And Technology
    Duration
    Apply

    Fees

    ₹3,50,000

    Placement

    92.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    AutoCAD
    UG
    OFFLINE

    Fees

    ₹3,50,000

    Placement

    92.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    Seats

    120

    Students

    120

    ApplyCollege

    Seats

    120

    Students

    120

    Curriculum

    Course Structure Overview

    The AutoCAD program at Gurukula Kangri Vishwavidyalaya Haridwar Faculty Of Engineering And Technology is structured over eight semesters, with a balanced mix of core engineering subjects, departmental electives, science electives, and practical laboratory sessions. The curriculum is designed to provide students with a solid foundation in engineering principles while enabling them to specialize in AutoCAD technologies.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    IENG101English for Engineers3-0-0-3-
    IMAT101Mathematics I4-0-0-4-
    IPHY101Physics I3-0-0-3-
    ICHE101Chemistry I3-0-0-3-
    IESC101Engineering Science I3-0-0-3-
    ICSE101Introduction to Programming3-0-0-3-
    IENG102Engineering Graphics & Design2-0-0-2-
    ILAB101Basic Engineering Lab0-0-3-1-
    IIMAT102Mathematics II4-0-0-4MAT101
    IIPHY102Physics II3-0-0-3PHY101
    IICHE102Chemistry II3-0-0-3CHE101
    IIESC102Engineering Science II3-0-0-3ESC101
    IICSE102Data Structures & Algorithms3-0-0-3CSE101
    IIENG103Engineering Mechanics3-0-0-3-
    IILAB102Basic Engineering Lab II0-0-3-1LAL101
    IIIMAT201Mathematics III4-0-0-4MAT102
    IIIPHY201Physics III3-0-0-3PHY102
    IIICSE201Object-Oriented Programming3-0-0-3CSE102
    IIIECE201Electrical Circuits & Devices3-0-0-3-
    IIIMEE201Mechanics of Materials3-0-0-3ENG103
    IIILAB201Electrical & Electronic Lab0-0-3-1LAL102
    IVMAT202Mathematics IV4-0-0-4MAT201
    IVCSE202Database Management Systems3-0-0-3CSE102
    IVECE202Electronics Devices & Circuits3-0-0-3ECE201
    IVMEE202Thermodynamics3-0-0-3MEE201
    IVLAB202Computer Lab0-0-3-1LAL201
    VCSE301Software Engineering3-0-0-3CSE202
    VECE301Signals & Systems3-0-0-3ECE202
    VMEE301Fluid Mechanics3-0-0-3MEE202
    VLAB301Advanced Engineering Lab0-0-3-1LAL202
    VDEPT_ELECTIVE_1Design & Analysis of Algorithms3-0-0-3CSE202
    VICSE302Computer Networks3-0-0-3CSE202
    VIECE302Control Systems3-0-0-3ECE301
    VIMEE302Machine Design3-0-0-3MEE301
    VILAB302Project Lab0-0-6-2LAL301
    VIDEPT_ELECTIVE_2Human Factors in Design3-0-0-3CSE301
    VIICSE401Artificial Intelligence & Machine Learning3-0-0-3CSE302
    VIIECE401Electromagnetic Fields3-0-0-3ECE302
    VIIMEE401Manufacturing Processes3-0-0-3MEE302
    VIILAB401Research Lab0-0-6-2LAL302
    VIIDEPT_ELECTIVE_3Advanced CAD Modeling Techniques3-0-0-3CSE401
    VIIICSE402Capstone Project0-0-12-6CSE401
    VIIIECE402Special Topics in Electronics3-0-0-3ECE401
    VIIIMEE402Sustainable Engineering3-0-0-3MEE401
    VIIILAB402Final Project Lab0-0-6-2LAL401
    VIIIDEPT_ELECTIVE_4Industry 4.0 & Smart Manufacturing3-0-0-3MEE402

    Advanced Departmental Elective Courses

    The AutoCAD program includes a variety of advanced departmental electives that allow students to delve deeper into specialized areas relevant to their career interests. These courses are designed to provide hands-on experience with cutting-edge technologies and real-world applications.

    One such course is Design & Analysis of Algorithms, which explores the mathematical foundations behind algorithmic complexity, graph theory, and optimization techniques. Students learn to design efficient algorithms for solving complex engineering problems, using tools like AutoCAD for visualization and simulation.

    Human Factors in Design introduces students to ergonomic principles and user-centered design methodologies. The course emphasizes the importance of human interaction with systems, particularly in CAD environments where usability plays a critical role in product success.

    Advanced CAD Modeling Techniques builds upon foundational knowledge by exploring advanced features such as parametric modeling, surface modeling, and complex assembly design. Students work on projects involving architectural rendering, mechanical prototyping, and simulation workflows.

    Industry 4.0 & Smart Manufacturing focuses on the integration of digital technologies in manufacturing processes. Topics include IoT sensors, data analytics, predictive maintenance, and automation systems—all viewed through the lens of CAD integration for smart factory environments.

    Artificial Intelligence & Machine Learning provides students with a deep understanding of machine learning algorithms and their application in design optimization, generative modeling, and intelligent systems. This course leverages AutoCAD as a platform for implementing AI-driven design tools.

    Advanced CAD Modeling Techniques delves into complex modeling workflows involving advanced surface modeling, rendering techniques, and animation tools. Students learn to build highly detailed 3D models that can be used in virtual reality (VR) applications or real-time simulation environments.

    Sustainable Engineering explores the role of CAD in environmental impact assessment, lifecycle analysis, and green design principles. Students are introduced to sustainable materials, energy-efficient design strategies, and eco-friendly manufacturing methods.

    Special Topics in Electronics covers emerging trends in electronic design and development, including circuit simulation, embedded systems, and sensor integration within CAD environments. The course combines theoretical concepts with practical lab sessions.

    Computer Networks provides a comprehensive understanding of network architecture, protocols, security mechanisms, and distributed computing models. This knowledge is crucial for students working on cloud-based CAD platforms or collaborative design projects.

    Control Systems focuses on the analysis and design of feedback control systems using mathematical modeling and simulation techniques. Students apply these concepts to robotics, automation, and industrial processes involving CAD integration.

    Project-Based Learning Philosophy

    The AutoCAD program at Gurukula Kangri Vishwavidyalaya Haridwar Faculty Of Engineering And Technology emphasizes a project-based learning approach that bridges the gap between theoretical knowledge and practical application. This methodology ensures that students develop both technical proficiency and critical thinking skills necessary for success in the professional world.

    Mini-projects are assigned at various stages throughout the program, starting from the second year. These projects are designed to reinforce core concepts while introducing students to real-world challenges. For example, a mini-project in the third semester might involve designing a mechanical component using AutoCAD and analyzing its stress distribution through FEA software.

    The final-year thesis/capstone project is a comprehensive endeavor that allows students to apply all knowledge gained during their academic journey. Students work closely with faculty mentors to select a topic of interest, conduct literature reviews, design experiments, and present findings in both written and oral formats.

    Project selection is guided by faculty expertise, industry relevance, and student interests. Students are encouraged to collaborate with research groups, startups, or industry partners to ensure that their projects align with current market demands and technological advancements.

    Evaluation criteria for mini-projects and capstone projects include technical depth, creativity, presentation quality, teamwork, and adherence to industry standards. Regular feedback sessions with mentors help students refine their work and enhance their professional development.