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B-E-B-TECH in Electronics And Communication Engineering at Sri Krishna College of Engineering and Technology
Coimbatore, Tamil Nadu
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About the Specialization
What is Electronics and Communication Engineering at Sri Krishna College of Engineering and Technology Coimbatore?
This Electronics and Communication Engineering (ECE) program at Sri Krishna College of Engineering and Technology focuses on building a strong foundation in core electronic principles, communication systems, and embedded technologies. It addresses the growing demand for skilled engineers in India''''s booming electronics manufacturing, telecommunications, and IoT sectors, emphasizing both theoretical knowledge and practical application relevant to industrial needs.
Who Should Apply?
This program is ideal for fresh graduates from 10+2 with a strong aptitude for Physics, Chemistry, and Mathematics, eager to delve into the fascinating world of electronics and communication. It also suits diploma holders seeking lateral entry, or individuals passionate about designing and implementing advanced electronic systems, communication networks, and embedded solutions for diverse industries.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles in telecommunications, VLSI design, embedded systems, consumer electronics, and IT services. Entry-level salaries range from INR 3.5 Lakhs to 6 Lakhs annually, with significant growth trajectories in leading Indian and multinational companies. Opportunities also exist in public sector organizations like ISRO and DRDO, and for pursuing higher studies.
Student Success Practices
Foundation Stage
Build a Strong Mathematical & Scientific Base- (Semester 1-2)
Dedicate extra effort to Engineering Mathematics and Physics concepts from day one. Utilize online platforms like NPTEL (for fundamental courses) and Khan Academy to strengthen problem-solving abilities. Form study groups to tackle complex problems together and clear doubts promptly.
Tools & Resources
NPTEL, Khan Academy, Local study groups
Career Connection
A solid foundation in math and science is crucial for understanding advanced ECE subjects and excelling in technical interviews for R&D roles or core engineering positions.
Master Programming Fundamentals with Python- (Semester 1-2)
Actively engage in Problem Solving and Python Programming Laboratory sessions. Practice coding challenges on platforms to improve logical thinking and algorithm development. Python skills are foundational for future data science, AI, and embedded system applications in ECE.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks Python tutorials
Career Connection
Proficiency in programming opens doors to software-defined hardware, embedded programming, and data analysis roles within the ECE domain, enhancing employability significantly.
Develop Effective Communication and Soft Skills- (Semester 1-2)
Participate actively in Communicative English and Technical English courses. Join college clubs like debate or public speaking. Practice technical presentation skills and group discussions. Seek feedback from faculty to refine your interpersonal and professional communication abilities.
Tools & Resources
Toastmasters International (if available nearby), Online public speaking courses, College language labs
Career Connection
Strong communication skills are highly valued by recruiters in India for roles requiring client interaction, team collaboration, and effective project presentation.
Intermediate Stage
Engage in Hands-on Circuit Design and Prototyping- (Semester 3-5)
Go beyond lab assignments by independently designing and building small electronic projects related to Electronic Circuits and Digital Logic Design. Utilize simulation software and open-source hardware platforms to experiment with concepts and deepen practical understanding.
Tools & Resources
Proteus, LTspice, Tinkercad Circuits, Arduino/Raspberry Pi kits
Career Connection
Practical circuit design experience is vital for core electronics and hardware development roles, demonstrating problem-solving abilities and a genuine interest in the field.
Explore Microcontroller and Embedded Systems- (Semester 4-5)
Actively participate in Microcontrollers and Applications labs. Start personal projects using microcontrollers to control various peripherals. Enroll in online courses or workshops focused on embedded C programming and RTOS to build practical skills beyond the curriculum.
Tools & Resources
Keil uVision, PIC/ARM Development Boards, Coursera/edX Embedded Systems courses
Career Connection
Expertise in embedded systems is highly sought after in automotive, IoT, and industrial automation sectors in India, leading to lucrative career opportunities.
Participate in Technical Competitions and Workshops- (Semester 3-5)
Join college technical clubs and participate in inter-collegiate robotics, circuit design, or coding competitions. Attend workshops on emerging ECE technologies like IoT, AI/ML in ECE, or VLSI. This expands knowledge, builds networking, and provides exposure to industry trends.
Tools & Resources
IEEE/IETE student chapters, Tech fests and hackathons at various colleges, Skill-development workshops
Career Connection
Winning competitions and workshop participation enhances your resume, showcases practical skills, and provides networking opportunities with industry professionals and peers, improving placement chances.
Advanced Stage
Undertake Industry-Relevant Mini and Major Projects- (Semester 7-8)
For Project Work I and II, choose topics aligned with current industry trends in ECE (e.g., 5G, IoT security, AI for signal processing, VLSI chip design). Seek guidance from faculty and consider collaborating with industry mentors if possible. Focus on a complete product/solution development lifecycle.
Tools & Resources
Industry whitepapers, Research journals, IEEE Xplore, GitHub for collaborative coding
Career Connection
High-quality, industry-relevant projects are critical for showcasing practical skills, problem-solving abilities, and attracting top companies during campus placements.
Pursue Internships and Industrial Training- (Semester 6-7 (during breaks))
Actively seek internships during summer breaks or dedicated training periods in relevant ECE companies. This provides invaluable real-world exposure, helps apply theoretical knowledge, and builds a professional network. Aim for internships that align with your specialization electives.
Tools & Resources
LinkedIn, Internshala, College placement cell contacts, Company career pages
Career Connection
Internships are often a direct pathway to pre-placement offers (PPOs) and significantly enhance employability by providing practical experience and industry insights.
Prepare Rigorously for Placements and Higher Studies- (Semester 7-8)
Start preparing for aptitude tests, technical interviews, and group discussions well in advance. Focus on core ECE concepts, data structures, algorithms, and logical reasoning. For higher studies, prepare for GATE/GRE/TOEFL. Utilize dedicated placement training modules provided by the college.
Tools & Resources
Online aptitude test platforms, Technical interview guides (e.g., LeetCode, InterviewBit), GATE/GRE coaching materials
Career Connection
Thorough preparation ensures success in competitive exams and interviews, securing good placements in desired companies or admission to prestigious universities for advanced degrees.
Program Structure and Curriculum
Eligibility:
- A pass in H.Sc. (Academic) or its equivalent with a minimum average percentage in Mathematics, Physics and Chemistry, or a pass in H.Sc. (Vocational) with relevant subjects. Admission through Tamil Nadu Engineering Admissions (TNEA) counseling.
Duration: 8 semesters / 4 years
Credits: 145 Credits
Assessment: Internal: 40% (for theory courses), 60% (for practical courses), 50% (for project work), External: 60% (for theory courses), 40% (for practical courses), 50% (for project work)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HS001 | Communicative English | Humanities and Social Sciences | 3 | Listening for Academic and Professional Purposes, Speaking for Academic and Professional Purposes, Reading for Academic and Professional Purposes, Writing for Academic and Professional Purposes, English for Professional Communication |
| 23BS001 | Engineering Mathematics – I | Basic Science | 4 | Matrices, Differential Calculus, Functions of Several Variables, Multiple Integrals, Vector Calculus |
| 23BS003 | Engineering Physics | Basic Science | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Physics and Crystal Physics, Ultrasonic and NDT, Advanced Materials |
| 23ES001 | Problem Solving and Python Programming | Engineering Science | 3 | Computational Thinking and Problem Solving, Python Basics, Data Structures, Control Structures, Functions and Modules |
| 23ESL01 | Problem Solving and Python Programming Laboratory | Engineering Science Lab | 1.5 | Basic Python Programs, Control Flow Implementation, Function Usage, String and List Operations, File Handling and Exception Handling |
| 23BSL01 | Physics and Chemistry Laboratory | Basic Science Lab | 1.5 | Properties of Materials, Light and Optics Experiments, Electrochemical Studies, Water Quality Analysis, Viscosity and Calorimetry |
| 23GE001 | Professional Development | General Elective | 1 | Goal Setting, Time Management, Stress Management, Communication Skills, Leadership Qualities |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HS002 | Technical English | Humanities and Social Sciences | 3 | Listening and Speaking Skills, Reading for Technical Comprehension, Technical Writing, Business Communication, Presentation Skills |
| 23BS002 | Engineering Mathematics – II | Basic Science | 4 | Ordinary Differential Equations, Laplace Transforms, Vector Spaces, Complex Numbers and Analytic Functions, Series Solutions |
| 23BS004 | Engineering Chemistry | Basic Science | 3 | Water Technology and Corrosion, Electrochemistry, Fuels and Combustion, Material Chemistry, Polymer Chemistry |
| 23ES002 | Basic Electrical and Electronics Engineering | Engineering Science | 3 | DC Circuits, AC Circuits, Semiconductor Devices, Rectifiers and Amplifiers, Digital Electronics Fundamentals |
| 23ES003 | Engineering Graphics | Engineering Science | 3 | Plane Curves, Orthographic Projections, Projections of Solids, Sectioning of Solids, Isometric Projections |
| 23ESL02 | Basic Electrical and Electronics Engineering Laboratory | Engineering Science Lab | 1.5 | Ohm''''s Law and Kirchhoff''''s Laws, Diode Characteristics, Transistor Characteristics, Logic Gates, Rectifier Circuits |
| 23ESL03 | Engineering Practices Laboratory | Engineering Science Lab | 1.5 | Carpentry, Plumbing, Welding, Basic Electrical Wiring, Electronics Assembly |
| 23EN001 | Environmental Science | Mandatory Non-credit Course | 0 | Ecosystems, Biodiversity, Environmental Pollution, Natural Resources, Social Issues and the Environment |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA301 | Linear Algebra and Partial Differential Equations | Basic Science | 4 | Vector Spaces, Linear Transformations, Partial Differential Equations, Fourier Series, Boundary Value Problems |
| 23EC301 | Electronic Circuits | Professional Core | 3 | BJT and FET Biasing, BJT Amplifiers, FET Amplifiers, Feedback Amplifiers, Oscillators |
| 23EC302 | Digital Logic Design | Professional Core | 3 | Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic Devices |
| 23EC303 | Signals and Systems | Professional Core | 3 | Classification of Signals and Systems, Fourier Series and Transform, Laplace Transform, Z-Transform, Sampling and Reconstruction |
| 23EC304 | Electromagnetic Fields | Professional Core | 3 | Electrostatics, Magnetostatics, Maxwell''''s Equations, Uniform Plane Waves, Transmission Lines |
| 23EC305 | Object Oriented Programming and Data Structures | Engineering Science | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Data Structures, Searching and Sorting |
| 23ECP01 | Electronic Circuits and Digital Logic Design Laboratory | Professional Core Lab | 2 | BJT/FET Amplifier Characteristics, Feedback Amplifier Design, Combinational Logic Design, Sequential Logic Design, ADC/DAC Experiments |
| 23ECP02 | Object Oriented Programming and Data Structures Laboratory | Engineering Science Lab | 2 | Class and Object Implementation, Inheritance and Polymorphism, Stack and Queue Operations, Tree Traversal, Graph Algorithms |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA401 | Probability and Stochastic Processes | Basic Science | 4 | Probability Axioms, Random Variables, Probability Distributions, Random Processes, Markov Chains |
| 23EC401 | Analog and Digital Communication | Professional Core | 3 | Amplitude Modulation, Angle Modulation, Pulse Modulation, Digital Modulation Techniques, Information Theory and Coding |
| 23EC402 | Microcontrollers and Applications | Professional Core | 3 | 8051 Microcontroller Architecture, Instruction Set, Peripheral Interfacing, Embedded C Programming, Real-time Applications |
| 23EC403 | Linear Integrated Circuits | Professional Core | 3 | Op-Amp Characteristics, Op-Amp Applications, Active Filters, Phase-Locked Loop (PLL), Timer ICs (555) |
| 23EC404 | Control Systems | Professional Core | 3 | System Models, Time Domain Analysis, Frequency Domain Analysis, Stability Analysis, Compensators and Controllers |
| 23ECP03 | Analog and Digital Communication Laboratory | Professional Core Lab | 2 | AM/FM Modulation & Demodulation, Pulse Modulation, Digital Modulation (ASK, FSK, PSK), Error Control Coding, Sampling and Reconstruction |
| 23ECP04 | Microcontrollers and Linear Integrated Circuits Laboratory | Professional Core Lab | 2 | 8051 Assembly Language Programming, Microcontroller Interfacing, Op-Amp Applications, Active Filter Design, PLL Applications |
| 23IC001 | Indian Constitution | Mandatory Non-credit Course | 0 | Philosophy of the Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Legislature, Local Self-Government |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC501 | Digital Signal Processing | Professional Core | 3 | Discrete Fourier Transform, Fast Fourier Transform, FIR Filter Design, IIR Filter Design, Multirate Signal Processing |
| 23EC502 | Transmission Lines and Waveguides | Professional Core | 3 | Transmission Line Theory, Impedance Matching, Waveguides, Cavity Resonators, Microwave Components |
| 23EC503 | Computer Networks | Professional Core | 3 | Network Topologies and Devices, OSI/TCP-IP Models, Data Link Layer, Network Layer, Transport and Application Layers |
| Professional Elective - I | Choice from Elective Pool (e.g., Medical Electronics, Advanced Microprocessors, Nanoelectronics) | Professional Elective | 3 | Note: Students choose one subject from a pool of 6 electives. Examples include:, 23ECEL1A: Medical Electronics (Bio-potential Electrodes, Medical Imaging, Therapeutic Equipment), 23ECEL1B: Advanced Microprocessors (8086 Architecture, Memory Management, I/O Interfacing), 23ECEL1C: Nanoelectronics (Quantum Mechanics in Nano, Nano-materials, Nano-devices) |
| Open Elective - I | Choice from Elective Pool (e.g., Basics of Artificial Intelligence, Data Analytics, Waste Management) | Open Elective | 3 | Note: Students choose one subject from a broad pool of open electives offered by various departments. Examples include:, 23OEL001: Basics of Artificial Intelligence (AI Fundamentals, Problem Solving, Machine Learning), 23OEL003: Data Analytics (Data Preprocessing, Statistical Analysis, Data Visualization), 23OEL006: Waste Management (Sources of Waste, Waste Treatment, Resource Recovery) |
| 23ECP05 | Digital Signal Processing Laboratory | Professional Core Lab | 2 | DFT/FFT Implementation, FIR/IIR Filter Design, Signal Generation and Analysis, Multi-rate DSP, Adaptive Filters |
| 23ECP06 | Communication Systems Design Laboratory | Professional Core Lab | 2 | RF Transmitter/Receiver Design, Antenna Characteristics, Network Analyzer Usage, Microwave Components Testing, Simulation of Communication Systems |
| 23GR001 | Universal Human Values | Mandatory Non-credit Course | 0 | Self-exploration as the process for value education, Harmony in the family and society, Harmony in the nature and existence, Understanding Human being as Co-existence, Implications of Right Understanding |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC601 | VLSI Design | Professional Core | 3 | CMOS Fabrication Technology, MOS Transistor Theory, CMOS Logic Circuits, VLSI Design Flow, FPGA Architectures and Applications |
| 23EC602 | Embedded Systems | Professional Core | 3 | Embedded System Architecture, Real-time Operating Systems (RTOS), Embedded Communication Protocols, Sensors and Actuators Interfacing, Embedded System Design and Development |
| 23EC603 | Antennas and Propagation | Professional Core | 3 | Antenna Fundamentals, Radiation Mechanisms, Antenna Types (Dipole, Yagi, Horn), Antenna Arrays, Radio Wave Propagation |
| Professional Elective - II | Choice from Elective Pool (e.g., Digital Image Processing, Robotics and Automation) | Professional Elective | 3 | Note: Students choose one subject from a pool of 6 electives. Examples include:, 23ECEL2A: Digital Image Processing (Image Enhancement, Segmentation, Compression), 23ECEL2B: Robotics and Automation (Robot Kinematics, Robot Control, Industrial Automation), 23ECEL2C: Cryptography and Network Security (Symmetric/Asymmetric Ciphers, Network Security Protocols) |
| Professional Elective - III | Choice from Elective Pool (e.g., Internet of Things, Optical Communication) | Professional Elective | 3 | Note: Students choose one subject from a pool of 6 electives. Examples include:, 23ECEL3A: Internet of Things (IoT Architecture, Protocols, Cloud Platforms), 23ECEL3B: Optical Communication (Optical Fibers, Sources, Detectors, WDM Systems), 23ECEL3C: Speech and Audio Processing (Speech Production, Feature Extraction, Speech Recognition) |
| Open Elective - II | Choice from Elective Pool (e.g., Entrepreneurship Development, Renewable Energy Systems) | Open Elective | 3 | Note: Students choose one subject from a broad pool of open electives offered by various departments. Examples include:, 23OEL005: Entrepreneurship Development (Business Plan, Marketing Strategies, Funding), 23OEL008: Renewable Energy Systems (Solar, Wind, Hydro Energy, Energy Storage), 23OEL010: Engineering Economics (Cost Analysis, Feasibility Studies, Project Evaluation) |
| 23ECP07 | VLSI Design Laboratory | Professional Core Lab | 2 | HDL Programming (Verilog/VHDL), ASIC Design Flow, FPGA Implementation, CMOS Layout Design, Simulation and Synthesis Tools |
| 23ECP08 | Embedded Systems Laboratory | Professional Core Lab | 2 | Microcontroller Programming, RTOS Implementation, Sensor Interfacing, Communication Protocol Implementation, Embedded Application Development |
| 23GV001 | Professional Values | Mandatory Non-credit Course | 0 | Ethics in Profession, Human Values and Virtues, Corporate Social Responsibility, Intellectual Property Rights, Environmental Ethics |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC701 | Wireless Communication | Professional Core | 3 | Wireless Channel Characteristics, Cellular Concept, Mobile Communication Systems (GSM, LTE), MIMO Systems, 5G Technologies |
| Professional Elective - IV | Choice from Elective Pool (e.g., Radar and Navigation Aids, Satellite Communication) | Professional Elective | 3 | Note: Students choose one subject from a pool of 6 electives. Examples include:, 23ECEL4A: Radar and Navigation Aids (Radar Equation, MTI Radar, GPS), 23ECEL4B: Satellite Communication (Orbital Mechanics, Link Design, Earth Stations), 23ECEL4C: Wireless Sensor Networks (WSN Architecture, Protocols, Security) |
| Professional Elective - V | Choice from Elective Pool (e.g., Machine Learning for Signal Processing, MEMS and NEMS) | Professional Elective | 3 | Note: Students choose one subject from a pool of 6 electives. Examples include:, 23ECEL5A: Machine Learning for Signal Processing (ML Fundamentals, Deep Learning, Applications), 23ECEL5B: MEMS and NEMS (Microfabrication, MEMS Sensors, Nanodevices), 23ECEL5C: Automotive Electronics (In-Vehicle Networking, Sensor Systems, Infotainment) |
| Open Elective - III | Choice from Elective Pool (e.g., Disaster Management, Professional Ethics) | Open Elective | 3 | Note: Students choose one subject from a broad pool of open electives offered by various departments. Examples include:, 23OEL007: Disaster Management (Preparedness, Mitigation, Rehabilitation), 23OEL011: Professional Ethics in Engineering (Ethical Theories, Professional Responsibility, Rights), 23OEL013: Project Management (Project Lifecycle, Planning, Risk Management) |
| 23EC702 | Project Work – I | Project | 3 | Project Identification and Problem Definition, Literature Survey and Feasibility Study, Methodology and System Design, Preliminary Implementation, Report Writing and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC801 | Project Work – II | Project | 10 | Detailed Design and Implementation, Testing and Performance Analysis, Result Validation and Optimization, Technical Report Writing and Documentation, Final Presentation and Viva Voce |
