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Pune, Maharashtra, India

Duration

4 Years

AutoCAD

Roorkee College Of Engineering
Duration
4 Years
AutoCAD UG OFFLINE

Duration

4 Years

AutoCAD

Roorkee College Of Engineering
Duration
Apply

Fees

₹1,83,000

Placement

94.5%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
AutoCAD
UG
OFFLINE

Fees

₹1,83,000

Placement

94.5%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

Seats

120

Students

120

ApplyCollege

Seats

120

Students

120

Curriculum

Curriculum Overview

The curriculum for the AutoCAD program at Roorkee College of Engineering is meticulously designed to provide students with a comprehensive understanding of modern engineering design and visualization techniques. This structure ensures that students are equipped with both theoretical knowledge and practical skills necessary to excel in their professional careers.

Course Structure

The program spans eight semesters, with each semester comprising a blend of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is structured to build upon previous knowledge, gradually increasing in complexity and specialization.

First Year Courses

In the first year, students are introduced to foundational concepts through a combination of science subjects and introductory engineering courses. These include:

  • English for Engineering: Enhances communication skills essential for technical documentation and presentations.
  • Engineering Mathematics I: Covers topics such as differential equations, matrices, and vector calculus.
  • Chemistry for Engineers: Focuses on the chemical principles relevant to engineering applications.
  • Physics for Engineers: Introduces fundamental physics concepts applicable in engineering contexts.
  • Engineering Graphics: Teaches basic drafting techniques using traditional methods and prepares students for CAD software.
  • Introduction to Programming: Provides a foundation in programming languages, essential for automation and scripting in design tools.
  • Introduction to Economics: Offers insights into economic principles relevant to engineering decision-making.

Second Year Courses

The second year builds upon the foundation laid in the first year, introducing core engineering concepts:

  • Engineering Mathematics II: Expands on statistical methods and linear algebra.
  • Basic Electrical Engineering: Covers circuits, electromagnetism, and electrical systems.
  • Introduction to Mechanical Engineering: Introduces mechanical principles and components.
  • Introduction to Civil Engineering: Provides an overview of civil engineering disciplines.
  • Data Structures and Algorithms: Focuses on programming concepts and algorithm design.
  • Economics for Engineers: Deepens understanding of economic principles in engineering contexts.

Third Year Courses

The third year introduces more specialized topics:

  • Engineering Mathematics III: Covers advanced mathematical techniques.
  • Strength of Materials: Focuses on mechanical properties and structural behavior.
  • Structural Analysis: Teaches methods for analyzing structures under load.
  • Digital Electronics: Introduces digital logic and circuit design.
  • Database Management Systems: Provides knowledge of data storage and retrieval systems.
  • Statistics and Probability: Covers statistical analysis techniques.
  • Thermodynamics: Explores energy conversion and heat transfer principles.

Fourth Year Courses

The fourth year emphasizes advanced topics and application:

  • Advanced Mathematics: Covers complex analysis and numerical methods.
  • Mechanics of Machines: Focuses on mechanical systems and mechanisms.
  • Geotechnical Engineering: Teaches soil mechanics and foundation design.
  • Analog Electronics: Introduces analog circuit design and applications.
  • Software Engineering: Covers software development lifecycle and methodologies.
  • Transportation Engineering: Focuses on transportation infrastructure planning.
  • Manufacturing Processes: Teaches various manufacturing techniques and technologies.

Fifth Year Courses

The fifth year introduces specialized areas:

  • Control Systems: Covers feedback control theory and applications.
  • Water Resources Engineering: Focuses on water resource management and planning.
  • Microprocessors and Microcontrollers: Teaches embedded systems design.
  • Artificial Intelligence: Introduces AI concepts and machine learning techniques.
  • Design of Machine Elements: Covers mechanical component design principles.
  • Web Technologies: Provides knowledge of web-based applications.
  • Environmental Engineering: Focuses on environmental impact assessment.

Sixth Year Courses

The sixth year builds upon previous knowledge:

  • Finite Element Analysis: Teaches numerical methods for engineering problems.
  • Structural Design: Focuses on advanced structural design principles.
  • Communication Systems: Covers signal processing and communication networks.
  • Machine Learning: Explores advanced AI applications.
  • Robotics and Automation: Teaches robotic systems and automation technologies.
  • Distributed Systems: Provides knowledge of distributed computing architectures.
  • Construction Management: Focuses on project management in construction.

Seventh Year Courses

The seventh year offers specialized courses:

  • Advanced Manufacturing: Covers modern manufacturing technologies.
  • Urban Planning and Design: Focuses on urban development principles.
  • Signal Processing: Teaches digital signal analysis techniques.
  • Cybersecurity: Introduces security concepts in computing systems.
  • Energy Systems: Focuses on sustainable energy solutions.
  • Big Data Analytics: Covers data analytics and visualization techniques.

Eighth Year Courses

The eighth year concludes with advanced specialization:

  • Project Management: Teaches project planning and execution strategies.
  • Disaster Management: Focuses on emergency response planning.
  • Antenna and Microwave Engineering: Covers microwave communication systems.
  • Cloud Computing: Introduces cloud-based computing technologies.
  • Sustainable Engineering: Emphasizes environmental sustainability in engineering.
  • Internet of Things (IoT): Teaches IoT principles and applications.
  • Advanced CAD & CAM: Focuses on advanced CAD/CAM integration.

Departmental Elective Courses

The department offers a range of advanced elective courses designed to deepen students' expertise in specific areas:

  • Advanced Computer Graphics: This course explores 3D modeling techniques, rendering, and animation using industry-standard tools. Students learn to create visually compelling models for architectural visualization and product design.
  • Building Information Modeling (BIM): Focuses on integrating digital information into building design and construction processes. Students gain hands-on experience with BIM software like Revit and Navisworks.
  • Industrial Design Principles: Teaches the fundamentals of product design, including ergonomics, aesthetics, and usability. The course emphasizes user-centered design methodologies.
  • Geographic Information Systems (GIS): Introduces spatial data analysis and mapping techniques. Students learn to use GIS software for urban planning and environmental studies.
  • Automotive Design: Covers vehicle design principles, aerodynamics, and manufacturing processes. Students work on real-world automotive projects using CAD tools.
  • Aerospace Engineering Applications: Focuses on aerospace design and analysis using CAD software. Students explore aircraft design and simulation techniques.
  • Electronics Packaging Design: Teaches the design of electronic packages and systems for consumer electronics. Students learn to optimize components for performance and reliability.
  • Civil Infrastructure Planning: Covers planning and design of civil infrastructure projects. Students engage in urban development and transportation planning exercises.
  • Product Lifecycle Management (PLM): Focuses on managing product information throughout the lifecycle using PLM software tools. Students learn to streamline product development processes.
  • Data Visualization Techniques: Teaches methods for creating visual representations of complex data sets. Students use advanced tools to generate interactive dashboards and reports.

Project-Based Learning Approach

Project-based learning is a cornerstone of the AutoCAD program at Roorkee College of Engineering. This approach ensures that students apply theoretical knowledge to real-world challenges, fostering innovation and practical skills.

Mini-Projects

Mini-projects begin in the second year and are assigned based on student interests and current industry trends. These projects are typically completed within a semester and involve:

  • Problem identification and analysis
  • Research and literature review
  • Design and modeling using CAD tools
  • Documentation and presentation preparation
  • Critique and feedback from faculty mentors

Final-Year Thesis/Capstone Project

The final-year thesis or capstone project is a comprehensive endeavor that allows students to demonstrate their mastery of the subject matter. Key components include:

  • Topic selection based on personal interest and career goals
  • Collaboration with faculty advisors for guidance
  • Literature review and methodology development
  • Implementation of design solutions
  • Data collection and analysis
  • Written report preparation and oral presentation

Project Selection Process

Students select projects through a structured process involving:

  • Interest assessment surveys
  • Faculty recommendations based on academic performance
  • Availability of resources and equipment
  • Alignment with industry needs and trends
  • Feasibility analysis and timeline planning

Evaluation Criteria

Projects are evaluated using a multi-criteria framework that includes:

  • Technical accuracy and innovation
  • Design quality and aesthetic appeal
  • Problem-solving approach and methodology
  • Documentation clarity and completeness
  • Presentation skills and communication
  • Teamwork and collaboration effectiveness