Comprehensive Course Structure
The vocational training program at G H Raisoni International Skill Tech University Pune is structured across eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions. The curriculum is designed to provide a robust foundation in technical concepts while encouraging specialization through elective courses.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MATH101 | Mathematics I | 3-1-0-4 | - |
| 1 | PHYS101 | Physics I | 3-1-0-4 | - |
| 1 | CHM101 | Chemistry I | 3-1-0-4 | - |
| 1 | EG101 | Engineering Graphics | 2-1-0-3 | - |
| 1 | CP101 | Introduction to Programming | 3-1-0-4 | - |
| 2 | MATH201 | Mathematics II | 3-1-0-4 | MATH101 |
| 2 | PHYS201 | Physics II | 3-1-0-4 | PHYS101 |
| 2 | CHM201 | Chemistry II | 3-1-0-4 | CHM101 |
| 2 | EG201 | Engineering Mechanics | 3-1-0-4 | EG101 |
| 2 | CP201 | Data Structures and Algorithms | 3-1-0-4 | CP101 |
| 3 | MATH301 | Mathematics III | 3-1-0-4 | MATH201 |
| 3 | PHYS301 | Physics III | 3-1-0-4 | PHYS201 |
| 3 | CHM301 | Chemistry III | 3-1-0-4 | CHM201 |
| 3 | EG301 | Dynamics of Machines | 3-1-0-4 | EG201 |
| 3 | CP301 | Database Management Systems | 3-1-0-4 | CP201 |
| 4 | MATH401 | Mathematics IV | 3-1-0-4 | MATH301 |
| 4 | PHYS401 | Physics IV | 3-1-0-4 | PHYS301 |
| 4 | CHM401 | Chemistry IV | 3-1-0-4 | CHM301 |
| 4 | EG401 | Thermodynamics | 3-1-0-4 | EG301 |
| 4 | CP401 | Computer Networks | 3-1-0-4 | CP301 |
| 5 | MATH501 | Mathematics V | 3-1-0-4 | MATH401 |
| 5 | PHYS501 | Physics V | 3-1-0-4 | PHYS401 |
| 5 | CHM501 | Chemistry V | 3-1-0-4 | CHM401 |
| 5 | EG501 | Machine Design | 3-1-0-4 | EG401 |
| 5 | CP501 | Operating Systems | 3-1-0-4 | CP401 |
| 6 | MATH601 | Mathematics VI | 3-1-0-4 | MATH501 |
| 6 | PHYS601 | Physics VI | 3-1-0-4 | PHYS501 |
| 6 | CHM601 | Chemistry VI | 3-1-0-4 | CHM501 |
| 6 | EG601 | Industrial Engineering | 3-1-0-4 | EG501 |
| 6 | CP601 | Software Engineering | 3-1-0-4 | CP501 |
| 7 | MATH701 | Mathematics VII | 3-1-0-4 | MATH601 |
| 7 | PHYS701 | Physics VII | 3-1-0-4 | PHYS601 |
| 7 | CHM701 | Chemistry VII | 3-1-0-4 | CHM601 |
| 7 | EG701 | Project Management | 3-1-0-4 | EG601 |
| 7 | CP701 | Advanced Topics in Computer Science | 3-1-0-4 | CP601 |
| 8 | MATH801 | Mathematics VIII | 3-1-0-4 | MATH701 |
| 8 | PHYS801 | Physics VIII | 3-1-0-4 | PHYS701 |
| 8 | CHM801 | Chemistry VIII | 3-1-0-4 | CHM701 |
| 8 | EG801 | Capstone Project | 3-1-0-4 | EG701 |
| 8 | CP801 | Final Year Thesis | 3-1-0-4 | CP701 |
Advanced Departmental Electives
The department offers a wide array of advanced elective courses designed to deepen students' understanding of specialized areas within their field. These courses are structured to align with industry trends and academic research, ensuring that students are well-prepared for both professional roles and higher education.
One such course is 'Deep Learning and Neural Networks,' which delves into the mathematical foundations of neural networks and their applications in image recognition, natural language processing, and reinforcement learning. Students engage in hands-on projects using frameworks like TensorFlow and PyTorch, developing models that can be deployed in real-world scenarios.
Another advanced elective is 'Cybersecurity and Network Defense,' which explores the principles of network security, cryptographic protocols, and incident response strategies. Through simulations and case studies, students learn to detect and mitigate cyber threats, preparing them for roles in cybersecurity analysis and protection.
The course 'Data Science and Analytics' focuses on statistical methods, machine learning algorithms, and data visualization techniques. Students work with real datasets from various industries, applying analytical tools to extract insights and support decision-making processes.
'Internet of Things (IoT) and Embedded Systems' teaches students how to design and implement smart devices that can communicate with each other and respond to environmental changes. This course covers hardware programming, sensor integration, and network protocols, providing a comprehensive understanding of IoT ecosystems.
'Software Engineering and Application Development' emphasizes the entire software development lifecycle, from requirements gathering to deployment and maintenance. Students work in teams on large-scale projects, applying agile methodologies and tools like Git for version control and Jira for project tracking.
'Robotics and Automation' combines mechanical engineering with computer science to create intelligent machines capable of performing complex tasks. Students learn about robot kinematics, sensor integration, control systems, and programming languages used in robotics.
'Environmental Engineering and Sustainable Technologies' addresses the challenges of environmental pollution and resource depletion through sustainable solutions. Topics include water treatment, waste management, and renewable energy systems, preparing students to contribute to global sustainability efforts.
Each elective course includes practical components such as laboratory sessions, workshops, and project-based assessments. These elements ensure that students gain both theoretical knowledge and hands-on experience necessary for success in their chosen fields.
Project-Based Learning Philosophy
The department strongly believes in the power of project-based learning as a means to enhance student engagement and deepen understanding of complex concepts. Projects are designed to simulate real-world scenarios, requiring students to apply theoretical knowledge to practical challenges.
The structure of projects begins with problem identification, followed by literature review, design planning, implementation, testing, and documentation. Students work in teams, fostering collaboration and communication skills essential for professional environments.
Mini-projects are assigned throughout the academic year, allowing students to experiment with new ideas and technologies without the pressure of high-stakes outcomes. These projects serve as stepping stones towards the final capstone project, which is a significant component of the curriculum.
The evaluation criteria for projects include technical competency, innovation, teamwork, presentation skills, and adherence to deadlines. Faculty mentors guide students through each stage, providing feedback and support necessary for successful completion.
For the final-year thesis/capstone project, students select topics aligned with their interests and career goals. They are paired with faculty members who provide expertise and supervision throughout the process. The project culminates in a public presentation and defense before a panel of experts, ensuring that students can articulate their work effectively.
The department also encourages participation in external competitions and hackathons, where students can showcase their projects and gain recognition from industry professionals. These events provide valuable networking opportunities and enhance the visibility of student achievements.