Comprehensive Course Structure
The curriculum for the Diploma In Electronics And Communication Engineering program at Satya Sree Parimala Polytechnic East Godavari is meticulously designed to provide students with a strong foundation in both theoretical and practical aspects of electronics and communication engineering. The program spans 3 years and is divided into 6 semesters. Each semester includes core courses, departmental electives, science electives, and laboratory sessions.
SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PRE-REQUISITES |
---|---|---|---|---|
1 | EC101 | Applied Mathematics I | 3-1-0-4 | None |
1 | EC102 | Physics | 3-1-0-4 | None |
1 | EC103 | Basic Electronics | 3-1-0-4 | None |
1 | EC104 | Introduction to Programming | 3-1-0-4 | None |
1 | EC105 | Computer Fundamentals | 3-1-0-4 | None |
2 | EC201 | Applied Mathematics II | 3-1-0-4 | EC101 |
2 | EC202 | Electrical Circuits | 3-1-0-4 | EC102 |
2 | EC203 | Electronic Devices | 3-1-0-4 | EC103 |
2 | EC204 | Digital Logic Design | 3-1-0-4 | EC103 |
2 | EC205 | Computer Architecture | 3-1-0-4 | EC105 |
3 | EC301 | Signals and Systems | 3-1-0-4 | EC201 |
3 | EC302 | Control Systems | 3-1-0-4 | EC202 |
3 | EC303 | Electromagnetic Fields | 3-1-0-4 | EC202 |
3 | EC304 | Communication Systems | 3-1-0-4 | EC301 |
3 | EC305 | Microprocessors | 3-1-0-4 | EC204 |
4 | EC401 | Embedded Systems | 3-1-0-4 | EC305 |
4 | EC402 | VLSI Design | 3-1-0-4 | EC303 |
4 | EC403 | Wireless Communication | 3-1-0-4 | EC304 |
4 | EC404 | Antenna Engineering | 3-1-0-4 | EC303 |
4 | EC405 | Optical Communication | 3-1-0-4 | EC304 |
5 | EC501 | Power Electronics | 3-1-0-4 | EC202 |
5 | EC502 | RF and Microwave Engineering | 3-1-0-4 | EC303 |
5 | EC503 | Image Processing | 3-1-0-4 | EC301 |
5 | EC504 | Digital Signal Processing | 3-1-0-4 | EC301 |
5 | EC505 | Speech and Audio Processing | 3-1-0-4 | EC301 |
6 | EC601 | Capstone Project | 3-1-0-4 | EC401 |
6 | EC602 | Internship | 3-1-0-4 | EC501 |
6 | EC603 | Advanced Topics in Communication | 3-1-0-4 | EC304 |
6 | EC604 | Research Methodology | 3-1-0-4 | EC301 |
6 | EC605 | Entrepreneurship | 3-1-0-4 | None |
Advanced Departmental Electives
The department offers a range of advanced departmental electives that allow students to specialize in specific areas of interest. These courses are designed to provide in-depth knowledge and practical skills in cutting-edge technologies.
Embedded Systems
This course focuses on the design and implementation of embedded systems using microcontrollers and real-time operating systems. Students learn to develop software and hardware solutions for various applications, including automotive, industrial, and consumer electronics.
VLSI Design
VLSI Design explores the principles of very-large-scale integration, including circuit design, layout, and testing of integrated circuits. Students gain hands-on experience with industry-standard tools and techniques for designing and simulating VLSI systems.
Wireless Communication
This course covers the fundamentals of wireless communication systems, including modulation techniques, wireless networks, and mobile communication protocols. Students learn to design and analyze wireless systems for various applications.
Antenna Engineering
Antenna Engineering focuses on the design and analysis of antennas for various communication systems. Students learn about antenna theory, design principles, and practical applications in wireless communication.
Optical Communication
This course explores the principles of optical communication, including fiber optic systems, optical components, and transmission technologies. Students gain knowledge of how optical signals are transmitted and processed in modern communication networks.
Power Electronics
Power Electronics covers the design and application of power electronic converters and systems. Students learn about power conversion techniques, control strategies, and applications in renewable energy and industrial systems.
RF and Microwave Engineering
This course focuses on the design and analysis of radio frequency and microwave systems. Students explore topics such as transmission lines, waveguides, and microwave components, with practical applications in communication and radar systems.
Digital Signal Processing
Digital Signal Processing introduces students to the theory and application of digital signal processing techniques. Topics include sampling, filtering, and spectral analysis, with practical implementation using software tools.
Image Processing
Image Processing covers the principles and techniques of digital image processing. Students learn about image enhancement, segmentation, and analysis, with applications in computer vision and medical imaging.
Speech and Audio Processing
This course explores the processing and analysis of speech and audio signals. Students learn about speech recognition, synthesis, and audio compression techniques, with applications in telecommunications and multimedia systems.
Project-Based Learning Approach
The department emphasizes project-based learning to enhance students' practical skills and problem-solving abilities. The curriculum includes mandatory mini-projects and a final-year capstone project.
Mini-Projects
Mini-projects are undertaken during the second and third years of the program. These projects are designed to reinforce theoretical concepts and provide hands-on experience with industry-standard tools and technologies. Students work in teams to develop solutions to real-world problems, with guidance from faculty mentors.
Final-Year Capstone Project
The final-year capstone project is a comprehensive project that integrates all the knowledge and skills acquired during the program. Students select a project topic in consultation with faculty mentors, develop a detailed plan, and execute the project over a period of six months. The project is evaluated based on technical merit, innovation, and presentation skills.
Project Selection and Mentorship
Students are encouraged to select projects based on their interests and career goals. The department facilitates the selection process by providing a list of potential topics and mentors. Faculty mentors are assigned based on the project scope and the expertise of the faculty members.