Curriculum Overview
The curriculum for the Diploma in Electronics and Communication Engineering program at Shirdi Sai Diploma In Engineering Technology Vizianagaram is designed to provide students with a comprehensive understanding of both fundamental principles and advanced applications in the field. The program spans three years and includes a mix of core courses, departmental electives, science electives, and laboratory sessions that are carefully structured to build upon each other.
| Semester | Course Code | Course Title | Course Type | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| 1 | EC101 | Engineering Mathematics I | Core | 3-0-0-3 | None |
| 1 | EC102 | Basic Electrical Engineering | Core | 3-0-0-3 | None |
| 1 | EC103 | Basic Electronics | Core | 3-0-0-3 | None |
| 1 | EC104 | Engineering Physics | Core | 3-0-0-3 | None |
| 1 | EC105 | English Communication | Core | 2-0-0-2 | None |
| 1 | EC106 | Computer Programming | Core | 2-0-0-2 | None |
| 1 | EC107 | Engineering Graphics | Core | 2-0-0-2 | None |
| 1 | EC108 | Workshop Practice | Core | 0-0-2-1 | None |
| 2 | EC201 | Engineering Mathematics II | Core | 3-0-0-3 | EC101 |
| 2 | EC202 | Electrical Circuits and Networks | Core | 3-0-0-3 | EC102 |
| 2 | EC203 | Electronic Devices and Circuits | Core | 3-0-0-3 | EC103 |
| 2 | EC204 | Signals and Systems | Core | 3-0-0-3 | EC101 |
| 2 | EC205 | Electronic Measurements and Instrumentation | Core | 3-0-0-3 | EC103 |
| 2 | EC206 | Programming in C | Core | 2-0-0-2 | EC106 |
| 2 | EC207 | Computer Organization and Architecture | Core | 3-0-0-3 | EC106 |
| 2 | EC208 | Environmental Science | Core | 2-0-0-2 | None |
| 3 | EC301 | Engineering Mathematics III | Core | 3-0-0-3 | EC201 |
| 3 | EC302 | Electromagnetic Fields and Waves | Core | 3-0-0-3 | EC202 |
| 3 | EC303 | Digital Electronics and Logic Design | Core | 3-0-0-3 | EC203 |
| 3 | EC304 | Communication Systems | Core | 3-0-0-3 | EC204 |
| 3 | EC305 | Microprocessor and Microcontroller | Core | 3-0-0-3 | EC203 |
| 3 | EC306 | Control Systems | Core | 3-0-0-3 | EC204 |
| 3 | EC307 | Electronics Laboratory | Lab | 0-0-2-1 | EC203 |
| 3 | EC308 | Microprocessor Laboratory | Lab | 0-0-2-1 | EC305 |
| 4 | EC401 | Probability and Statistics | Core | 3-0-0-3 | EC201 |
| 4 | EC402 | Antennas and Wave Propagation | Core | 3-0-0-3 | EC302 |
| 4 | EC403 | Embedded Systems | Core | 3-0-0-3 | EC305 |
| 4 | EC404 | Wireless Communication | Core | 3-0-0-3 | EC304 |
| 4 | EC405 | Signal Processing | Core | 3-0-0-3 | EC204 |
| 4 | EC406 | Electronics and Communication Engineering Project | Core | 3-0-0-3 | EC304 |
| 4 | EC407 | Communication Systems Laboratory | Lab | 0-0-2-1 | EC304 |
| 4 | EC408 | Signal Processing Laboratory | Lab | 0-0-2-1 | EC405 |
| 5 | EC501 | Advanced Digital Design | Departmental Elective | 3-0-0-3 | EC303 |
| 5 | EC502 | Optical Communication | Departmental Elective | 3-0-0-3 | EC304 |
| 5 | EC503 | Power Electronics | Departmental Elective | 3-0-0-3 | EC202 |
| 5 | EC504 | Network Security | Departmental Elective | 3-0-0-3 | EC304 |
| 5 | EC505 | Artificial Intelligence | Departmental Elective | 3-0-0-3 | EC401 |
| 5 | EC506 | Renewable Energy Systems | Departmental Elective | 3-0-0-3 | EC302 |
| 5 | EC507 | Advanced Microprocessor and Microcontroller | Departmental Elective | 3-0-0-3 | EC305 |
| 5 | EC508 | Advanced Signal Processing | Departmental Elective | 3-0-0-3 | EC405 |
| 6 | EC601 | Machine Learning | Departmental Elective | 3-0-0-3 | EC401 |
| 6 | EC602 | Internet of Things | Departmental Elective | 3-0-0-3 | EC305 |
| 6 | EC603 | Advanced Communication Systems | Departmental Elective | 3-0-0-3 | EC304 |
| 6 | EC604 | Embedded System Design | Departmental Elective | 3-0-0-3 | EC305 |
| 6 | EC605 | Advanced Control Systems | Departmental Elective | 3-0-0-3 | EC306 |
| 6 | EC606 | Advanced Power Electronics | Departmental Elective | 3-0-0-3 | EC303 |
| 6 | EC607 | Research Methodology | Departmental Elective | 3-0-0-3 | EC401 |
| 6 | EC608 | Project Management | Departmental Elective | 3-0-0-3 | EC306 |
| 7 | EC701 | Advanced Wireless Communication | Departmental Elective | 3-0-0-3 | EC404 |
| 7 | EC702 | Advanced Antennas | Departmental Elective | 3-0-0-3 | EC402 |
| 7 | EC703 | Advanced Embedded Systems | Departmental Elective | 3-0-0-3 | EC403 |
| 7 | EC704 | Advanced Signal Processing Techniques | Departmental Elective | 3-0-0-3 | EC405 |
| 7 | EC705 | Advanced Machine Learning | Departmental Elective | 3-0-0-3 | EC505 |
| 7 | EC706 | Advanced Cybersecurity | Departmental Elective | 3-0-0-3 | EC504 |
| 7 | EC707 | Advanced Renewable Energy Technologies | Departmental Elective | 3-0-0-3 | EC506 |
| 7 | EC708 | Advanced Control Systems | Departmental Elective | 3-0-0-3 | EC505 |
| 8 | EC801 | Final Year Project | Core | 3-0-0-3 | EC406 |
| 8 | EC802 | Capstone Project | Core | 3-0-0-3 | EC406 |
| 8 | EC803 | Internship | Core | 0-0-0-3 | EC406 |
| 8 | EC804 | Professional Ethics and Social Responsibility | Core | 2-0-0-2 | None |
Advanced departmental elective courses play a crucial role in providing students with specialized knowledge and skills in emerging areas of electronics and communication engineering. These courses are designed to expose students to cutting-edge technologies and research methodologies that are shaping the future of the field.
The course Advanced Digital Design delves into the principles of digital system design, including advanced logic design, finite state machines, and hardware description languages. Students learn to design and implement complex digital systems using modern tools and techniques. The course emphasizes practical implementation through laboratory sessions and project work.
Optical Communication explores the principles and applications of optical fiber communication systems. Students study topics such as fiber optic transmission, modulation techniques, and optical amplifiers. The course includes laboratory sessions that involve designing and testing optical communication systems.
Power Electronics focuses on the design and application of power electronic converters and inverters. Students learn about power semiconductor devices, power conversion techniques, and applications in renewable energy systems. The course combines theoretical knowledge with practical implementation through laboratory experiments.
Network Security covers the principles of network security, including encryption, authentication, and intrusion detection. Students study various security protocols and learn to design secure communication systems. The course includes practical sessions on security tools and techniques.
Artificial Intelligence introduces students to the fundamental concepts of AI, including machine learning, neural networks, and data mining. Students learn to implement AI algorithms and apply them to real-world problems. The course emphasizes practical applications through hands-on projects.
Renewable Energy Systems explores the design and implementation of renewable energy technologies, including solar, wind, and hydroelectric systems. Students study energy conversion techniques, system integration, and environmental impact assessment. The course includes laboratory sessions on renewable energy systems.
Advanced Microprocessor and Microcontroller delves into the architecture and programming of advanced microprocessors and microcontrollers. Students learn to design embedded systems and develop applications for various platforms. The course includes practical sessions on microcontroller programming and system design.
Advanced Signal Processing covers advanced techniques in signal processing, including digital filtering, spectral analysis, and wavelet transforms. Students learn to implement signal processing algorithms and apply them to various applications. The course includes laboratory sessions on signal processing tools and techniques.
Machine Learning introduces students to the principles and applications of machine learning. Students study supervised and unsupervised learning, deep learning, and reinforcement learning. The course emphasizes practical implementation through project work and laboratory sessions.
Internet of Things explores the design and implementation of IoT systems, including sensor networks, communication protocols, and cloud computing. Students learn to develop IoT applications and integrate them with existing systems. The course includes laboratory sessions on IoT development tools and platforms.
Advanced Communication Systems covers advanced topics in communication systems, including multiple access techniques, error correction, and system optimization. Students study modern communication protocols and learn to design efficient communication systems. The course includes practical sessions on communication system design and simulation.
Embedded System Design focuses on the design and implementation of embedded systems for various applications. Students learn about system architecture, real-time operating systems, and hardware-software co-design. The course includes laboratory sessions on embedded system development and testing.
Advanced Control Systems delves into advanced control system design, including state-space methods, optimal control, and robust control. Students learn to design and implement control systems for complex applications. The course includes practical sessions on control system simulation and implementation.
Advanced Power Electronics covers advanced topics in power electronics, including high-frequency converters, power quality, and energy storage systems. Students study advanced power conversion techniques and their applications. The course includes laboratory sessions on power electronics design and testing.
Research Methodology introduces students to research principles and methodologies in engineering. Students learn to design research projects, collect and analyze data, and present findings. The course emphasizes critical thinking and scientific approach to problem-solving.
Project Management covers project planning, execution, and monitoring techniques. Students learn to manage engineering projects effectively, including resource allocation, risk management, and quality control. The course includes practical sessions on project management tools and techniques.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered on the belief that practical experience is essential for developing competent and innovative engineers. The approach emphasizes hands-on learning, collaboration, and real-world problem-solving. Students are encouraged to apply theoretical knowledge to practical challenges, fostering creativity and critical thinking skills.
Mini-projects are integrated throughout the curriculum to provide students with early exposure to practical engineering challenges. These projects are typically completed in teams and involve designing, building, and testing small-scale systems. Students learn to work collaboratively, manage time effectively, and communicate their ideas clearly. The projects are evaluated based on technical performance, creativity, and teamwork.
The final-year thesis/capstone project represents the culmination of the student's learning journey. Students select a topic relevant to their specialization and work under the guidance of a faculty mentor. The project involves extensive research, design, implementation, and testing of a complete system. Students are expected to demonstrate advanced technical skills, critical thinking, and innovation. The project is evaluated based on originality, technical depth, presentation quality, and overall impact.
Project selection is a collaborative process involving students and faculty mentors. Students are encouraged to choose projects that align with their interests and career goals. The department provides a list of suggested topics and research areas, but students are also free to propose their own ideas. Faculty mentors are assigned based on expertise and availability, ensuring that students receive appropriate guidance throughout the project lifecycle.