Course Structure and Syllabus
The curriculum for the Diploma In Electrical Engineering program at Shirdi Sai Diploma In Engineering Technology Vizianagaram is designed to provide a comprehensive understanding of electrical engineering principles and applications. The program spans three years, with each year comprising multiple semesters. The curriculum is structured to ensure a smooth progression from foundational concepts to advanced specializations.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | EE101 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | EE102 | Mathematics I | 4-0-0-4 | None |
| 1 | EE103 | Physics I | 3-0-0-3 | None |
| 1 | EE104 | Engineering Graphics | 2-1-0-3 | None |
| 1 | EE105 | Workshop Practice | 0-0-2-1 | None |
| 2 | EE201 | Electrical Machines I | 3-1-0-4 | EE101 |
| 2 | EE202 | Circuit Analysis | 3-1-0-4 | EE101 |
| 2 | EE203 | Electronics Devices | 3-1-0-4 | EE101 |
| 2 | EE204 | Electrical Measurements | 2-1-0-3 | EE101 |
| 2 | EE205 | Mathematics II | 4-0-0-4 | EE102 |
| 3 | EE301 | Power Systems | 3-1-0-4 | EE201, EE202 |
| 3 | EE302 | Control Systems | 3-1-0-4 | EE202 |
| 3 | EE303 | Microprocessors | 3-1-0-4 | EE203 |
| 3 | EE304 | Renewable Energy Systems | 3-1-0-4 | EE201 |
| 3 | EE305 | Electrical Machines II | 3-1-0-4 | EE201 |
| 4 | EE401 | Power Electronics | 3-1-0-4 | EE203 |
| 4 | EE402 | Signal Processing | 3-1-0-4 | EE202 |
| 4 | EE403 | Embedded Systems | 3-1-0-4 | EE303 |
| 4 | EE404 | Smart Grid Technologies | 3-1-0-4 | EE301 |
| 4 | EE405 | Industrial Automation | 3-1-0-4 | EE302 |
| 5 | EE501 | Advanced Power Systems | 3-1-0-4 | EE301 |
| 5 | EE502 | Advanced Control Systems | 3-1-0-4 | EE302 |
| 5 | EE503 | Research Methodology | 2-0-0-2 | None |
| 5 | EE504 | Mini Project I | 0-0-4-2 | EE301, EE302 |
| 6 | EE601 | Capstone Project | 0-0-8-6 | EE501, EE502 |
| 6 | EE602 | Elective I | 3-1-0-4 | EE301 |
| 6 | EE603 | Elective II | 3-1-0-4 | EE302 |
| 6 | EE604 | Elective III | 3-1-0-4 | EE303 |
| 6 | EE605 | Elective IV | 3-1-0-4 | EE304 |
Advanced Departmental Elective Courses
Advanced departmental elective courses are designed to provide students with in-depth knowledge in specialized areas of electrical engineering. These courses are offered in the later semesters and are tailored to meet the interests and career aspirations of students.
Power Electronics
This course focuses on the design and application of power electronic converters and inverters. Students learn about power semiconductor devices, rectifiers, DC-DC converters, and inverters. The course emphasizes practical applications in renewable energy systems, motor drives, and power supplies.
Signal Processing
This course covers the principles of digital signal processing, including sampling, filtering, and spectral analysis. Students learn about discrete-time systems, z-transforms, and Fast Fourier Transform (FFT). The course includes practical sessions on MATLAB and signal processing applications.
Embedded Systems
This course introduces students to embedded system design and development. Topics include microcontrollers, real-time operating systems, embedded C programming, and hardware-software integration. Students work on projects involving sensor integration, communication protocols, and embedded software development.
Smart Grid Technologies
This course explores the integration of advanced technologies in power systems. Students learn about grid automation, demand response, energy management systems, and smart metering. The course includes case studies of smart grid implementations and emerging trends in grid modernization.
Industrial Automation
This course focuses on automation systems in industrial processes. Students learn about programmable logic controllers (PLCs), sensors, actuators, and control algorithms. The course includes practical sessions on industrial automation and process control.
Advanced Power Systems
This course covers advanced topics in power system analysis and design. Students study load flow analysis, stability analysis, and protection systems. The course includes practical sessions on power system simulation and design.
Advanced Control Systems
This course delves into advanced control system design and analysis. Students learn about state-space representation, optimal control, and robust control. The course includes practical sessions on control system design using MATLAB and Simulink.
Research Methodology
This course provides students with the fundamentals of research methodology and scientific inquiry. Students learn about literature review, hypothesis formulation, data collection, and analysis. The course prepares students for research projects and thesis work.
Mini Project I
This course provides students with an opportunity to work on a mini project under faculty supervision. Students select a project topic, conduct research, and develop a prototype or solution. The course emphasizes project planning, execution, and presentation skills.
Capstone Project
This is the final project course where students work on a comprehensive project that integrates knowledge from all previous courses. Students select a project topic, conduct extensive research, and develop a complete solution. The course includes project planning, execution, and presentation skills.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered on the idea that students learn best by doing. Projects are designed to provide hands-on experience and to bridge the gap between theory and practice. The department emphasizes collaborative learning, innovation, and problem-solving skills.
The project-based learning approach is implemented through mini-projects and capstone projects. Mini-projects are undertaken in the fifth semester, while the capstone project is the final project of the program. These projects are designed to be challenging and to provide students with real-world experience.
Mini-projects are typically undertaken in groups of 3-4 students. Students are assigned a faculty mentor who guides them through the project process. The projects are evaluated based on technical content, innovation, presentation, and teamwork.
The capstone project is a comprehensive project that integrates knowledge from all previous courses. Students work on a project that addresses a real-world problem or challenge. The project is evaluated based on technical content, innovation, presentation, and impact.
Students are encouraged to select projects that align with their interests and career aspirations. The department provides resources and support to help students succeed in their projects. Faculty mentors are available to provide guidance and feedback throughout the project process.