Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | MATH101 | Mathematics I | 3-1-0-4 | - |
| PHYS101 | Physics I | 3-1-0-4 | - | |
| CHEM101 | Chemistry I | 3-1-0-4 | - | |
| ENG101 | English Communication | 3-0-0-3 | - | |
| COMP101 | Computer Programming | 2-0-2-3 | - | |
| WSTK101 | Workshop Technology I | 0-0-4-2 | - | |
| ENG102 | Engineering Graphics | 3-1-0-4 | - | |
| MECH101 | Applied Mechanics | 3-1-0-4 | - | |
| MATH102 | Mathematics II | 3-1-0-4 | MATH101 | |
| PHY102 | Physics II | 3-1-0-4 | PHYS101 | |
| II | MATH201 | Mathematics III | 3-1-0-4 | MATH102 |
| MECH201 | Mechanics of Materials | 3-1-0-4 | MECH101 | |
| MATH202 | Statistics and Probability | 3-1-0-4 | MATH102 | |
| COMP201 | Data Structures and Algorithms | 3-1-0-4 | COMP101 | |
| WSTK201 | Workshop Technology II | 0-0-4-2 | WSTK101 | |
| ENG201 | Basic Electronics | 3-1-0-4 | - | |
| MATL201 | Materials Science | 3-1-0-4 | - | |
| MECH202 | Fluid Mechanics | 3-1-0-4 | MECH101 | |
| MATH203 | Mathematics IV | 3-1-0-4 | MATH201 | |
| PHYS201 | Thermodynamics | 3-1-0-4 | PHY102 | |
| III | MATH301 | Mathematics V | 3-1-0-4 | MATH203 |
| MECH301 | Manufacturing Processes I | 3-1-0-4 | MECH201 | |
| COMP301 | Computer Aided Design | 2-0-2-3 | COMP201 | |
| MATL301 | Mechanical Properties of Materials | 3-1-0-4 | MATL201 | |
| WSTK301 | Advanced Workshop Technology | 0-0-4-2 | WSTK201 | |
| MECH302 | Machine Design I | 3-1-0-4 | MECH201 | |
| COMP302 | Computer Aided Manufacturing | 2-0-2-3 | COMP301 | |
| MATL302 | Surface Engineering | 3-1-0-4 | MATL301 | |
| MECH303 | Tool Design Fundamentals | 3-1-0-4 | MECH302 | |
| ENG301 | Industrial Automation | 3-1-0-4 | - | |
| IV | MATH401 | Mathematics VI | 3-1-0-4 | MATH301 |
| MECH401 | Manufacturing Processes II | 3-1-0-4 | MECH301 | |
| COMP401 | Simulation and Modeling | 2-0-2-3 | COMP302 | |
| MATL401 | Advanced Materials | 3-1-0-4 | MATL301 | |
| WSTK401 | Tooling and Die Construction | 0-0-4-2 | WSTK301 | |
| MECH402 | Machine Design II | 3-1-0-4 | MECH302 | |
| MATL402 | Failure Analysis and Testing | 3-1-0-4 | MATL302 | |
| MECH403 | Advanced Tool Design | 3-1-0-4 | MECH303 | |
| ENG401 | Quality Control and Metrology | 3-1-0-4 | - | |
| V | MATH501 | Advanced Mathematics | 3-1-0-4 | MATH401 |
| MECH501 | Automation in Manufacturing | 3-1-0-4 | ENG401 | |
| COMP501 | Industrial Robotics | 2-0-2-3 | COMP401 | |
| MATL501 | Nanomaterials and Their Applications | 3-1-0-4 | MATL401 | |
| WSTK501 | Advanced Tooling Techniques | 0-0-4-2 | WSTK401 | |
| MECH502 | Product Development and Innovation | 3-1-0-4 | MECH402 | |
| MECH503 | Research Methodology | 3-1-0-4 | - | |
| VI | MATH601 | Applied Mathematics | 3-1-0-4 | MATH501 |
| MECH601 | Sustainable Manufacturing | 3-1-0-4 | MECH501 | |
| COMP601 | Machine Learning in Manufacturing | 2-0-2-3 | COMP501 | |
| MATL601 | Advanced Surface Treatments | 3-1-0-4 | MATL501 | |
| WSTK601 | Project Management in Tooling | 0-0-4-2 | WSTK501 | |
| MECH602 | Capstone Project | 0-0-8-4 | MECH503 |
Detailed Departmental Elective Courses
Departmental electives play a crucial role in shaping the specialized skillset of Tool and Die engineering students. These courses are designed to provide advanced knowledge in specific areas relevant to industry needs and future research directions.
Computer Aided Design (CAD)
This course introduces students to industry-standard CAD software such as SolidWorks, AutoCAD, and CATIA. Students learn to create 3D models of tools and dies, perform parametric design, and generate technical drawings for manufacturing processes. The curriculum covers surface modeling, solid modeling, assembly design, and simulation techniques.
Computer Aided Manufacturing (CAM)
Building upon CAD skills, CAM focuses on translating digital designs into machine instructions for automated manufacturing. Students learn to program CNC machines, generate toolpaths, and optimize machining operations using software like Mastercam and Siemens NX. The course emphasizes practical implementation in real-world scenarios.
Advanced Tool Design
This advanced elective delves into the complexities of modern tool design, including stress analysis, thermal considerations, and material selection for high-performance applications. Students work on complex projects involving multi-stage manufacturing processes and evaluate design alternatives using finite element methods.
Automation in Manufacturing
Students explore automation technologies used in modern manufacturing environments, including PLC programming, sensor integration, robotic control systems, and process automation. The course integrates theoretical concepts with hands-on laboratory experiences involving real industrial equipment.
Quality Control and Metrology
This course provides comprehensive knowledge of measurement techniques, statistical process control, and quality assurance methodologies in manufacturing. Students learn to calibrate instruments, conduct inspections, and implement quality improvement strategies using tools like Six Sigma and Lean Manufacturing principles.
Sustainable Manufacturing Practices
Focusing on environmental responsibility and resource efficiency, this elective covers eco-friendly manufacturing techniques, waste minimization strategies, energy optimization, and life cycle assessment of products. Students evaluate sustainable alternatives for traditional tooling processes and propose innovative solutions.
Materials Science in Tooling
This course explores the relationship between material properties and performance in tooling applications. Topics include metallurgy fundamentals, phase diagrams, heat treatment processes, corrosion resistance, and selection criteria for various manufacturing environments.
Advanced Machining Techniques
Students gain expertise in advanced machining technologies such as EDM (Electrical Discharge Machining), laser cutting, wire EDM, and abrasive machining. The course covers process parameters, tool wear analysis, and optimization strategies for high-precision manufacturing.
Process Optimization and Simulation
This elective teaches students to model and simulate manufacturing processes using software tools like MATLAB, ANSYS, and COMSOL Multiphysics. Students learn to analyze process variables, predict outcomes, and optimize performance through computational methods.
Project Management in Tooling
Designed for students who wish to lead complex tooling projects, this course covers project planning, risk assessment, budgeting, scheduling, and stakeholder management. It includes real-world case studies and simulation exercises to build practical leadership skills.
Project-Based Learning Philosophy
The Tool and Die program at Bishamber Sahai Diploma Engineering College places significant emphasis on project-based learning as a cornerstone of student development. This pedagogical approach ensures that theoretical knowledge is applied practically, fostering innovation, teamwork, and problem-solving skills.
Mini-Projects
Throughout the program, students engage in mini-projects designed to reinforce core concepts and develop hands-on expertise. These projects typically span 2-3 weeks and are assigned at the end of each semester. Examples include designing a simple stamping die, developing a mold for a specific product, or creating an automated tooling solution.
Final-Year Thesis/Capstone Project
The final-year capstone project is a comprehensive endeavor that integrates all learned concepts and serves as a culmination of the student's academic journey. Students work in teams under faculty supervision to solve complex real-world problems related to tooling and manufacturing.
Project Selection Process
Students select their projects through a structured process involving proposal submission, faculty evaluation, and final approval. Projects are often sourced from industry partners or faculty research initiatives, ensuring relevance and practical value.
Evaluation Criteria
Projects are evaluated based on technical accuracy, innovation, presentation quality, teamwork, and adherence to deadlines. Faculty mentors provide regular feedback and guidance throughout the project lifecycle.