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.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | ENG101 | English for Engineers | 3-0-0-3 | - |
| I | MAT101 | Mathematics I | 4-0-0-4 | - |
| I | PHY101 | Physics I | 3-0-0-3 | - |
| I | CHE101 | Chemistry I | 3-0-0-3 | - |
| I | ESC101 | Engineering Science I | 3-0-0-3 | - |
| I | CSE101 | Introduction to Programming | 3-0-0-3 | - |
| I | ENG102 | Engineering Graphics & Design | 2-0-0-2 | - |
| I | LAB101 | Basic Engineering Lab | 0-0-3-1 | - |
| II | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| II | PHY102 | Physics II | 3-0-0-3 | PHY101 |
| II | CHE102 | Chemistry II | 3-0-0-3 | CHE101 |
| II | ESC102 | Engineering Science II | 3-0-0-3 | ESC101 |
| II | CSE102 | Data Structures & Algorithms | 3-0-0-3 | CSE101 |
| II | ENG103 | Engineering Mechanics | 3-0-0-3 | - |
| II | LAB102 | Basic Engineering Lab II | 0-0-3-1 | LAL101 |
| III | MAT201 | Mathematics III | 4-0-0-4 | MAT102 |
| III | PHY201 | Physics III | 3-0-0-3 | PHY102 |
| III | CSE201 | Object-Oriented Programming | 3-0-0-3 | CSE102 |
| III | ECE201 | Electrical Circuits & Devices | 3-0-0-3 | - |
| III | MEE201 | Mechanics of Materials | 3-0-0-3 | ENG103 |
| III | LAB201 | Electrical & Electronic Lab | 0-0-3-1 | LAL102 |
| IV | MAT202 | Mathematics IV | 4-0-0-4 | MAT201 |
| IV | CSE202 | Database Management Systems | 3-0-0-3 | CSE102 |
| IV | ECE202 | Electronics Devices & Circuits | 3-0-0-3 | ECE201 |
| IV | MEE202 | Thermodynamics | 3-0-0-3 | MEE201 |
| IV | LAB202 | Computer Lab | 0-0-3-1 | LAL201 |
| V | CSE301 | Software Engineering | 3-0-0-3 | CSE202 |
| V | ECE301 | Signals & Systems | 3-0-0-3 | ECE202 |
| V | MEE301 | Fluid Mechanics | 3-0-0-3 | MEE202 |
| V | LAB301 | Advanced Engineering Lab | 0-0-3-1 | LAL202 |
| V | DEPT_ELECTIVE_1 | Design & Analysis of Algorithms | 3-0-0-3 | CSE202 |
| VI | CSE302 | Computer Networks | 3-0-0-3 | CSE202 |
| VI | ECE302 | Control Systems | 3-0-0-3 | ECE301 |
| VI | MEE302 | Machine Design | 3-0-0-3 | MEE301 |
| VI | LAB302 | Project Lab | 0-0-6-2 | LAL301 |
| VI | DEPT_ELECTIVE_2 | Human Factors in Design | 3-0-0-3 | CSE301 |
| VII | CSE401 | Artificial Intelligence & Machine Learning | 3-0-0-3 | CSE302 |
| VII | ECE401 | Electromagnetic Fields | 3-0-0-3 | ECE302 |
| VII | MEE401 | Manufacturing Processes | 3-0-0-3 | MEE302 |
| VII | LAB401 | Research Lab | 0-0-6-2 | LAL302 |
| VII | DEPT_ELECTIVE_3 | Advanced CAD Modeling Techniques | 3-0-0-3 | CSE401 |
| VIII | CSE402 | Capstone Project | 0-0-12-6 | CSE401 |
| VIII | ECE402 | Special Topics in Electronics | 3-0-0-3 | ECE401 |
| VIII | MEE402 | Sustainable Engineering | 3-0-0-3 | MEE401 |
| VIII | LAB402 | Final Project Lab | 0-0-6-2 | LAL401 |
| VIII | DEPT_ELECTIVE_4 | Industry 4.0 & Smart Manufacturing | 3-0-0-3 | MEE402 |
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.