Electrical Engineering Curriculum Overview
The Electrical Engineering program at Shubham University Bhopal is structured to provide a comprehensive and progressive learning experience over four years. The curriculum is designed to build upon foundational knowledge, gradually introducing advanced concepts and specialized topics. The program emphasizes both theoretical understanding and practical application, ensuring that students are well-prepared for professional practice and further studies.
Course Structure and Credit Distribution
The curriculum is divided into eight semesters, with each semester comprising a mix of core courses, departmental electives, science electives, and laboratory sessions. The total credit hours for the program are 160, distributed across the four years. Core courses form the foundation of the curriculum, providing essential knowledge in electrical engineering principles. Departmental electives allow students to specialize in areas of interest, while science electives broaden their academic horizons.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | ENG101 | English for Engineering | 3-0-0-3 | None |
1 | MAT101 | Mathematics I | 4-0-0-4 | None |
1 | PHY101 | Physics for Engineering | 3-0-0-3 | None |
1 | CHE101 | Chemistry for Engineering | 3-0-0-3 | None |
1 | EG101 | Engineering Graphics | 2-0-0-2 | None |
1 | ESC101 | Engineering Science | 3-0-0-3 | None |
2 | MAT201 | Mathematics II | 4-0-0-4 | MAT101 |
2 | PHY201 | Physics II | 3-0-0-3 | PHY101 |
2 | EC101 | Basic Electrical Engineering | 3-0-0-3 | None |
2 | CS101 | Introduction to Computer Science | 3-0-0-3 | None |
2 | EC102 | Electronic Devices and Circuits | 3-0-0-3 | EC101 |
2 | ESC201 | Engineering Science II | 3-0-0-3 | ESC101 |
3 | MAT301 | Mathematics III | 4-0-0-4 | MAT201 |
3 | EC201 | Circuit Analysis | 3-0-0-3 | EC101 |
3 | EC202 | Signals and Systems | 3-0-0-3 | EC101 |
3 | EC203 | Electromagnetic Fields | 3-0-0-3 | PHY201 |
3 | EC204 | Electrical Machines | 3-0-0-3 | EC101 |
3 | EC205 | Power Electronics | 3-0-0-3 | EC102 |
4 | EC301 | Control Systems | 3-0-0-3 | EC202 |
4 | EC302 | Digital Electronics | 3-0-0-3 | EC102 |
4 | EC303 | Communication Systems | 3-0-0-3 | EC202 |
4 | EC304 | Microprocessors and Microcontrollers | 3-0-0-3 | EC201 |
4 | EC305 | Embedded Systems | 3-0-0-3 | EC302 |
5 | EC401 | Power Systems Analysis | 3-0-0-3 | EC204 |
5 | EC402 | Renewable Energy Systems | 3-0-0-3 | EC204 |
5 | EC403 | Digital Signal Processing | 3-0-0-3 | EC202 |
5 | EC404 | VLSI Design | 3-0-0-3 | EC302 |
5 | EC405 | Biomedical Engineering | 3-0-0-3 | EC202 |
6 | EC501 | Advanced Control Systems | 3-0-0-3 | EC301 |
6 | EC502 | Wireless Communication | 3-0-0-3 | EC303 |
6 | EC503 | Artificial Intelligence and Machine Learning | 3-0-0-3 | EC202 |
6 | EC504 | Project Management | 3-0-0-3 | None |
6 | EC505 | Research Methodology | 3-0-0-3 | None |
7 | EC601 | Capstone Project I | 3-0-0-3 | EC501 |
7 | EC602 | Capstone Project II | 3-0-0-3 | EC601 |
7 | EC603 | Industrial Training | 3-0-0-3 | EC501 |
8 | EC701 | Thesis | 3-0-0-3 | EC602 |
8 | EC702 | Final Project | 3-0-0-3 | EC602 |
Advanced Departmental Elective Courses
The department offers a wide range of advanced departmental electives that allow students to explore specialized areas of interest. These courses are designed to provide in-depth knowledge and practical skills in specific domains of electrical engineering.
Power Systems Analysis: This course covers the analysis and design of power systems, including load flow analysis, stability analysis, and protection schemes. Students learn to model and simulate power systems using industry-standard tools.
Renewable Energy Systems: This course focuses on the integration of renewable energy sources into the power grid. Students study solar, wind, and hydroelectric power systems, along with energy storage technologies and smart grid integration.
Digital Signal Processing: This course provides a comprehensive understanding of digital signal processing techniques, including sampling, filtering, and spectral analysis. Students work with real-world applications such as audio and image processing.
VLSI Design: This course introduces students to the design and implementation of very large scale integrated circuits. Students learn about digital design, CAD tools, and semiconductor devices.
Biomedical Engineering: This course bridges the gap between electrical engineering and healthcare. Students explore topics such as medical imaging, bioelectronics, and biomedical instrumentation.
Advanced Control Systems: This course delves into modern control theory, including state-space methods, optimal control, and robust control. Students work on real-world control system design projects.
Wireless Communication: This course covers the principles and applications of wireless communication systems, including modulation techniques, multiple access schemes, and network protocols.
Artificial Intelligence and Machine Learning: This course explores the application of AI and ML in electrical engineering. Students study neural networks, deep learning, and data analytics.
Project Management: This course provides students with the skills and knowledge needed to manage engineering projects effectively. Topics include project planning, risk management, and team leadership.
Research Methodology: This course prepares students for conducting research in electrical engineering. Students learn about research design, data analysis, and academic writing.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing practical skills and deep understanding. Students are encouraged to work on projects that integrate theoretical knowledge with real-world applications.
The project-based learning approach begins in the second year with small-scale projects, gradually progressing to more complex and comprehensive projects in the final year. Students are assigned to project teams, where they collaborate to design, implement, and test their solutions.
The scope of projects ranges from designing and building electronic circuits to developing software applications for control systems. Students are provided with access to state-of-the-art equipment and software tools to support their project work.
Evaluation criteria for projects include technical content, innovation, presentation, and teamwork. Students are also required to document their projects in a comprehensive report, which is reviewed by faculty members.
The final-year thesis or capstone project is a significant component of the program, allowing students to conduct in-depth research and apply their knowledge to solve complex engineering problems. Students work closely with faculty mentors to select projects and receive guidance throughout the process.
Mini-Projects and Capstone Thesis
Mini-projects are conducted throughout the program, starting from the second year. These projects are designed to reinforce learning and provide practical experience. Students work in teams to solve real-world problems, applying concepts learned in their coursework.
The final-year capstone project is a comprehensive endeavor that integrates all aspects of the student's learning. Students are required to select a project topic, conduct research, design and implement a solution, and present their findings to a panel of faculty members.
Faculty mentors are assigned to guide students through the project process, providing technical support and feedback. The selection of projects is based on student interests, faculty expertise, and industry relevance.
The capstone project is evaluated based on technical merit, innovation, presentation, and overall contribution to the field. Students are encouraged to publish their work in academic journals or present at conferences.