Comprehensive Course Structure
The curriculum for the Skill Development program at G H Raisoni International Skill Tech University Pune is meticulously structured to provide a balanced mix of theoretical knowledge and practical application. The program spans eight semesters, with each semester containing core subjects, departmental electives, science electives, and laboratory components. This structure ensures that students develop a strong foundation in core principles while gaining specialized knowledge in their chosen area of interest.
| Semester | Course Code | Course Title | L-T-P-C | Pre-requisites |
|---|---|---|---|---|
| 1 | PH101 | Physics for Engineers | 3-1-0-4 | None |
| 1 | CH101 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | MA101 | Mathematics I | 4-0-0-4 | None |
| 1 | CS101 | Introduction to Programming | 2-0-2-3 | None |
| 1 | EC101 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | HS101 | English for Engineers | 3-0-0-3 | None |
| 2 | PH201 | Physics II | 3-1-0-4 | PH101 |
| 2 | CH201 | Chemistry II | 3-1-0-4 | CH101 |
| 2 | MA201 | Mathematics II | 4-0-0-4 | MA101 |
| 2 | CS201 | Data Structures and Algorithms | 3-0-2-4 | CS101 |
| 2 | EC201 | Digital Electronics | 3-1-0-4 | EC101 |
| 2 | HS201 | Communication Skills | 3-0-0-3 | None |
| 3 | PH301 | Physics III | 3-1-0-4 | PH201 |
| 3 | CH301 | Chemistry III | 3-1-0-4 | CH201 |
| 3 | MA301 | Mathematics III | 4-0-0-4 | MA201 |
| 3 | CS301 | Software Engineering | 3-0-2-4 | CS201 |
| 3 | EC301 | Signals and Systems | 3-1-0-4 | EC201 |
| 3 | HS301 | Professional Ethics | 3-0-0-3 | None |
| 4 | PH401 | Physics IV | 3-1-0-4 | PH301 |
| 4 | CH401 | Chemistry IV | 3-1-0-4 | CH301 |
| 4 | MA401 | Mathematics IV | 4-0-0-4 | MA301 |
| 4 | CS401 | Database Management Systems | 3-0-2-4 | CS301 |
| 4 | EC401 | Control Systems | 3-1-0-4 | EC301 |
| 4 | HS401 | Leadership and Teamwork | 3-0-0-3 | None |
| 5 | PH501 | Physics V | 3-1-0-4 | PH401 |
| 5 | CH501 | Chemistry V | 3-1-0-4 | CH401 |
| 5 | MA501 | Mathematics V | 4-0-0-4 | MA401 |
| 5 | CS501 | Machine Learning | 3-0-2-4 | CS401 |
| 5 | EC501 | Electromagnetic Fields | 3-1-0-4 | EC401 |
| 5 | HS501 | Cultural Awareness | 3-0-0-3 | None |
| 6 | PH601 | Physics VI | 3-1-0-4 | PH501 |
| 6 | CH601 | Chemistry VI | 3-1-0-4 | CH501 |
| 6 | MA601 | Mathematics VI | 4-0-0-4 | MA501 |
| 6 | CS601 | Cybersecurity Fundamentals | 3-0-2-4 | CS501 |
| 6 | EC601 | Power Electronics | 3-1-0-4 | EC501 |
| 6 | HS601 | Entrepreneurship Development | 3-0-0-3 | None |
| 7 | PH701 | Physics VII | 3-1-0-4 | PH601 |
| 7 | CH701 | Chemistry VII | 3-1-0-4 | CH601 |
| 7 | MA701 | Mathematics VII | 4-0-0-4 | MA601 |
| 7 | CS701 | Big Data Analytics | 3-0-2-4 | CS601 |
| 7 | EC701 | Wireless Communication | 3-1-0-4 | EC601 |
| 7 | HS701 | Sustainability and Environment | 3-0-0-3 | None |
| 8 | PH801 | Physics VIII | 3-1-0-4 | PH701 |
| 8 | CH801 | Chemistry VIII | 3-1-0-4 | CH701 |
| 8 | MA801 | Mathematics VIII | 4-0-0-4 | MA701 |
| 8 | CS801 | Capstone Project | 0-0-6-6 | CS701 |
| 8 | EC801 | Advanced Control Systems | 3-1-0-4 | EC701 |
| 8 | HS801 | Capstone Presentation | 3-0-0-3 | None |
Advanced Departmental Elective Courses
Advanced departmental electives in the Skill Development program at G H Raisoni International Skill Tech University Pune are designed to provide students with specialized knowledge and skills in emerging technologies. These courses are typically offered in the later semesters and allow students to tailor their education based on their interests and career goals.
The Machine Learning course, for instance, covers supervised and unsupervised learning techniques, neural networks, deep learning architectures, and reinforcement learning algorithms. Students learn to implement machine learning models using popular frameworks like TensorFlow and PyTorch. The course includes hands-on projects where students work on real-world datasets to build predictive models.
The Cybersecurity Fundamentals course introduces students to the principles of information security, network security, cryptography, and ethical hacking. The curriculum covers topics such as threat modeling, vulnerability assessment, secure coding practices, and incident response. Students gain practical experience through lab exercises and simulations that replicate real-world cybersecurity scenarios.
Big Data Analytics focuses on processing and analyzing large volumes of data using distributed computing frameworks like Hadoop and Spark. Students learn about data mining techniques, statistical analysis, visualization tools, and machine learning algorithms applied to big data problems. The course includes projects where students work with real datasets from various domains such as finance, healthcare, and e-commerce.
Internet of Things (IoT) explores the integration of physical devices with internet connectivity for smart environments. The course covers sensor networks, embedded systems programming, cloud computing integration, and smart city applications. Students develop IoT solutions using platforms like Arduino and Raspberry Pi, gaining hands-on experience in building connected devices.
Mobile Application Development teaches students how to design, develop, and deploy mobile applications for Android and iOS platforms. The curriculum includes user interface design, app architecture, database integration, and deployment strategies. Students work on projects that involve creating functional apps using modern frameworks like React Native and Flutter.
Human-Computer Interaction (HCI) emphasizes the study of how users interact with technology and how interfaces can be designed to enhance usability. The course covers cognitive psychology, interaction design principles, prototyping tools, and user testing methods. Students learn to conduct usability studies and develop interfaces that improve user experience.
Web Technologies focuses on full-stack web development using modern frameworks and tools. Students learn HTML/CSS/JavaScript, server-side scripting with Node.js, database management with SQL, and deployment strategies for web applications. The course includes projects where students build complete web applications from scratch.
Robotics and Automation introduces students to the design and implementation of robotic systems using control theory and embedded programming. The curriculum covers robot kinematics, sensor integration, motor control, and automation processes. Students work on projects involving autonomous robots, industrial automation systems, and smart manufacturing environments.
Digital Signal Processing (DSP) deals with the analysis and manipulation of signals using digital techniques. Students learn about sampling theory, filter design, spectral analysis, and signal processing algorithms. The course includes practical applications in audio and video processing, telecommunications, and biomedical engineering.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that real-world problem-solving skills are best developed through hands-on experiences. This approach encourages students to apply theoretical knowledge to practical challenges, fostering innovation, teamwork, and critical thinking.
Mini-projects are mandatory components of the curriculum, typically undertaken during the third and fourth semesters. These projects allow students to explore specific topics in depth, working individually or in small teams. Projects are evaluated based on technical proficiency, creativity, presentation quality, and adherence to deadlines.
The final-year thesis/capstone project represents the culmination of the student's academic journey. It involves developing a substantial piece of work that demonstrates mastery in a chosen area of specialization. Students select their projects in consultation with faculty mentors who guide them through the research process, methodology, implementation, and documentation phases.
Faculty mentors are selected based on their expertise and availability, ensuring students receive appropriate guidance throughout their project journey. The selection process involves a detailed proposal submission, followed by an evaluation panel that assesses feasibility, innovation, and relevance to industry needs.