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B-TECH in Electronics And Computer Engineering at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Electronics and Computer Engineering at SRM Institute of Science and Technology Chengalpattu?
This B.Tech Electronics and Computer Engineering program at SRM Institute of Science and Technology offers a unique blend of hardware and software domains. It equips students with skills in embedded systems, IoT, AI/ML hardware, and communication technologies, catering to the burgeoning demand for interdisciplinary engineers in the Indian electronics and IT sectors, particularly in smart device development and automation.
Who Should Apply?
This program is ideal for fresh graduates from 10+2 with a strong aptitude in Physics, Chemistry, and Mathematics, aspiring to pursue careers at the intersection of hardware and software. It also suits individuals passionate about designing intelligent systems, developing embedded solutions, or innovating in communication and computing technologies for the evolving Indian digital landscape.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in core electronics, embedded systems, software development, and IT. Roles include Embedded Engineer, IoT Developer, VLSI Design Engineer, Data Scientist, or Communication Engineer. Entry-level salaries range from INR 4-8 LPA, growing significantly with experience in leading Indian companies and MNCs.
Student Success Practices
Foundation Stage
Strengthen Core Engineering Fundamentals- (Semester 1-2)
Focus on building a solid understanding in Mathematics, Physics, and basic Electrical/Electronics Engineering. Actively participate in laboratory sessions to gain hands-on experience with circuits and components, ensuring theoretical concepts are practically reinforced for future advanced courses.
Tools & Resources
Khan Academy, NPTEL Courses (Basic Sciences, BEE), Lab Manuals and Simulation Software
Career Connection
A strong foundation is crucial for excelling in advanced subjects like VLSI, Embedded Systems, and IoT, directly impacting eligibility for core engineering roles and competitive exams.
Master Python Programming and Data Structures- (Semester 1-2)
Dedicate time to consistently practice Python programming and fundamental data structures and algorithms. Utilize online coding platforms to solve problems, enhancing logical thinking and coding proficiency, which are indispensable skills for both hardware and software roles.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks (Python, DSA), Python Documentation
Career Connection
Proficiency in programming is a key differentiator for placements in IT, embedded software, and data science roles, and essential for academic projects.
Cultivate Effective Study Habits and Peer Learning- (Semester 1-2)
Develop disciplined study routines, attending all lectures and tutorials. Engage in peer group discussions and collaborative learning sessions to clarify doubts and understand diverse perspectives. Participate in technical clubs to foster early skill development and networking.
Tools & Resources
Study Groups, Departmental Technical Clubs (e.g., ECE Association), University Library Resources
Career Connection
Effective learning strategies and teamwork enhance academic performance, crucial for maintaining a good GPA and preparing for group assessments in placements.
Intermediate Stage
Engage in Practical Application and Mini-Projects- (Semester 3-5)
Beyond lab work, actively seek out and participate in mini-projects related to digital systems, analog circuits, and microcontrollers. Translate theoretical knowledge into tangible outcomes by building small prototypes or simulations, documenting the process thoroughly.
Tools & Resources
Arduino/Raspberry Pi Kits, Eagle/KiCad (Circuit Design), Proteus/Multisim (Circuit Simulation), GitHub for project hosting
Career Connection
Hands-on project experience is highly valued by recruiters for embedded and hardware design roles, providing concrete examples of problem-solving abilities.
Pursue Electives and Specializations Strategically- (Semester 5-7)
Carefully select program and generic electives that align with emerging industry trends like IoT, AI/ML, or specific communication technologies. Deep dive into these chosen areas through online courses and advanced readings to build a specialized skill set.
Tools & Resources
NPTEL Advanced Courses, Coursera/edX (Specialized tracks), IEEE Xplore (Research Papers)
Career Connection
Specialized knowledge makes you a more attractive candidate for niche roles and advanced R&D positions in rapidly evolving tech domains.
Build a Professional Network and Industry Exposure- (Semester 4-6)
Attend industry workshops, seminars, and conferences organized by the department or external bodies. Connect with professionals, alumni, and faculty to explore internship opportunities, gain career insights, and understand industry expectations.
Tools & Resources
LinkedIn, SRMIST Alumni Network, Departmental Seminars and Guest Lectures
Career Connection
Networking is vital for discovering hidden opportunities, gaining mentorship, and increasing visibility for future internships and placements.
Advanced Stage
Undertake Comprehensive Major Projects/Internships- (Semester 7-8)
Focus intensely on your final year projects (Project Work III & IV) or a rigorous industrial internship. Aim for solutions to real-world problems, collaborating effectively and documenting extensively. Seek faculty mentorship and industry feedback to refine your work to professional standards.
Tools & Resources
Advanced Simulation Software (e.g., Cadence, ANSYS), Industry-Standard Development Boards, Project Management Tools (e.g., Trello, Jira)
Career Connection
A strong final project or internship is a direct showcase of your capabilities, often leading to pre-placement offers or securing coveted roles in core engineering companies.
Intensify Placement Preparation and Skill Refinement- (Semester 6-8)
Actively participate in placement training activities including aptitude tests, technical interviews, and mock group discussions. Refine your soft skills and communication abilities. Tailor your resume and portfolio to highlight relevant projects and technical competencies for specific job roles.
Tools & Resources
SRMIST Career Development Centre, Online Aptitude Test Platforms, Interview Preparation Websites (e.g., InterviewBit)
Career Connection
Dedicated preparation directly increases your chances of securing excellent placements in top-tier companies, maximizing your return on educational investment.
Explore Entrepreneurship or Higher Studies- (Semester 7-8)
If inclined towards entrepreneurship, leverage the innovation ecosystem at SRMIST to develop a business idea, possibly through your final year project. Alternatively, if higher studies are a goal, begin preparing for competitive exams like GATE, GRE, or IELTS, and explore research opportunities with faculty.
Tools & Resources
SRMIST Innovation & Incubation Centre, GATE/GRE Coaching Materials, Faculty Research Labs
Career Connection
This stage determines your post-graduation trajectory, whether it''''s launching your own venture, pursuing advanced degrees, or entering a research-focused career path.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or its equivalent examination with Physics, Chemistry, and Mathematics (PCM) as subjects, with a minimum aggregate of 50% marks. Candidates must also appear for the SRMJEE (SRM Joint Entrance Examination).
Duration: 8 semesters / 4 years
Credits: 154 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EHS101T | English (Language and Literature) | Core | 3 | Communication Skills, Reading Comprehension, Grammar and Usage, Writing Techniques, Presentation Skills |
| 21EBS101T | Physics (Applied Physics for ECE) | Core | 3 | Quantum Physics, Semiconductor Materials, Electromagnetic Theory, Modern Optics, Solid State Physics |
| 21EBS101L | Physics Laboratory | Lab | 1 | Basic Physics Experiments, Measurement Techniques, Data Analysis, Error Analysis, Experimental Procedures |
| 21EBS103T | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Views, Sectional Drawings, Machine Drawing, CAD Introduction |
| 21ESC101T | Problem Solving and Python Programming | Core | 3 | Python Fundamentals, Data Types and Structures, Control Flow, Functions and Modules, Object-Oriented Programming |
| 21ESC101L | Problem Solving and Python Programming Laboratory | Lab | 1 | Python Programming Practice, Algorithm Implementation, Debugging Techniques, Data Handling, Problem Solving Exercises |
| 21EES101T | Basic Electrical and Electronics Engineering | Core | 3 | DC and AC Circuits, Semiconductor Devices, Diodes and Transistors, Operational Amplifiers, Basic Electrical Machines |
| 21EES101L | Basic Electrical and Electronics Engineering Laboratory | Lab | 1 | Circuit Laws Verification, Electronic Components, Diode and Transistor Characteristics, Amplifier Circuits, Measurement Instruments |
| 21EVS101J | Environmental Science and Engineering | Core | 1 | Ecosystems and Biodiversity, Environmental Pollution, Renewable Energy Sources, Environmental Impact Assessment, Sustainable Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EHS201T | Professional English | Core | 3 | Technical Communication, Report Writing, Presentation Skills, Group Discussion, Interview Preparation |
| 21EBS201T | Linear Algebra and Ordinary Differential Equations | Core | 4 | Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors, First Order Differential Equations, Higher Order Differential Equations |
| 21EBS201L | Chemistry Laboratory | Lab | 1 | Volumetric Analysis, Instrumental Methods, Water Quality Analysis, Organic Synthesis, Electrochemistry Experiments |
| 21ESC201T | Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21ESC201L | Data Structures and Algorithms Laboratory | Lab | 1 | Algorithm Implementation, Data Structure Operations, Performance Analysis, Problem Solving through Coding, Debugging and Testing |
| 21EEC201T | Digital Systems | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| 21EEC201L | Digital Systems Laboratory | Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, HDL Simulation, Digital IC Testing |
| 21EVS201J | Universal Human Values and Ethics | Core | 1 | Human Values, Ethical Dilemmas, Professional Ethics, Social Responsibility, Value Education |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EBS301T | Transforms and Boundary Value Problems | Core | 4 | Laplace Transforms, Fourier Series, Fourier Transforms, Partial Differential Equations, Boundary Value Problems |
| 21EEC301T | Analog Circuits | Core | 3 | BJT and FET Amplifiers, Feedback Amplifiers, Oscillators, Operational Amplifier Applications, Power Amplifiers |
| 21EEC301L | Analog Circuits Laboratory | Lab | 1 | Transistor Biasing, Amplifier Characteristics, OP-AMP Circuit Design, Filter Implementation, Waveform Generation |
| 21EEC302T | Electromagnetic Theory and Wave Guides | Core | 3 | Electrostatics and Magnetostatics, Maxwell''''s Equations, Electromagnetic Waves, Transmission Lines, Waveguides |
| 21EEC303T | Signals and Systems | Core | 3 | Continuous and Discrete Signals, LTI Systems, Fourier Analysis, Laplace Transform, Z-Transform |
| 21EEC304T | Network Theory | Core | 3 | Network Theorems, Transient Analysis, AC Circuits, Two-Port Networks, Resonance and Coupled Circuits |
| 21EEC304L | Network Theory Laboratory | Lab | 1 | Circuit Simulation Tools, Network Theorem Verification, AC Circuit Analysis, Resonance Characteristics, Filter Response Analysis |
| 21EEC305T | Object Oriented Programming with Java | Core | 3 | OOP Concepts, Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling and I/O |
| 21EEC305L | Object Oriented Programming with Java Laboratory | Lab | 1 | Java Program Development, GUI Programming, Database Connectivity, Object-Oriented Design, Debugging Java Applications |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EBS401T | Probability and Statistical Analysis | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression and Correlation |
| 21EEC401T | Microprocessors and Microcontrollers | Core | 3 | 8086 Microprocessor Architecture, Instruction Set, Assembly Language Programming, Interfacing Techniques, 8051 Microcontroller |
| 21EEC401L | Microprocessors and Microcontrollers Laboratory | Lab | 1 | Assembly Language Programming, Peripheral Interfacing, Embedded C Programming, Microcontroller Applications, Debugging Embedded Systems |
| 21EEC402T | Analog and Digital Communication | Core | 3 | Analog Modulation, Noise in Communication, Sampling and Quantization, Digital Modulation Techniques, Information Theory |
| 21EEC402L | Analog and Digital Communication Laboratory | Lab | 1 | AM/FM Modulation & Demodulation, Digital Modulation Schemes, Sampling and Reconstruction, Noise Analysis, Spectrum Analyzer Usage |
| 21EEC403T | Control Systems | Core | 3 | System Modeling, Transfer Functions, Stability Analysis, Root Locus, Bode Plots and PID Controllers |
| 21EEC403L | Control Systems Laboratory | Lab | 1 | System Response Analysis, Controller Design, Stability Verification, MATLAB/Simulink Applications, Motor Control Experiments |
| 21EEC404T | Data Communication Networks | Core | 3 | Network Topologies, OSI and TCP/IP Models, Error Control, Routing Protocols, Network Security Basics |
| 21EEC404L | Data Communication Networks Laboratory | Lab | 1 | Network Configuration, Protocol Analysis, Socket Programming, Network Security Tools, Packet Tracing |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EHS501T | Professional Ethics and Human Values | Core | 1 | Ethical Theories, Professional Codes of Conduct, Cyber Ethics, Corporate Social Responsibility, Value Conflicts in Engineering |
| 21EEC501T | Digital Signal Processing | Core | 3 | Discrete Fourier Transform, Fast Fourier Transform, FIR Filter Design, IIR Filter Design, DSP Processors |
| 21EEC501L | Digital Signal Processing Laboratory | Lab | 1 | DSP Algorithm Implementation, Filter Design and Analysis, Speech Processing, Image Processing Basics, MATLAB/Python for DSP |
| 21EEC502T | VLSI Design | Core | 3 | CMOS Technology, Logic Design using CMOS, VLSI Fabrication Process, Design Flow and Tools, HDL for VLSI Design |
| 21EEC502L | VLSI Design Laboratory | Lab | 1 | HDL Programming (Verilog/VHDL), Logic Synthesis, Simulation and Verification, Layout Design, FPGA Prototyping |
| 21EEC503T | Embedded Systems | Core | 3 | Embedded Processors, Real-Time Operating Systems (RTOS), Device Drivers, Interfacing Techniques, Communication Protocols |
| 21EEC503L | Embedded Systems Laboratory | Lab | 1 | Embedded C Programming, Microcontroller Interfacing, RTOS Application Development, IoT System Integration, Debugging Embedded Code |
| 21EELXXX | Elective I (e.g., Medical Electronics) | Programme Elective | 3 | Biomedical Sensors, Medical Imaging Systems, Physiological Measurement, Bio-signal Processing, Medical Instrumentation |
| 21GEC003L | Generic Elective I (e.g., Professional Skills) | Generic Elective | 2 | Communication Etiquette, Teamwork and Collaboration, Leadership Qualities, Problem-Solving Skills, Time Management |
| 21EEP501J | Project Work I | Project | 2 | Project Planning, Literature Review, Problem Identification, Methodology Development, Initial Prototyping |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EHS601T | Communication and Soft Skills | Core | 1 | Verbal and Non-verbal Communication, Interpersonal Skills, Team Building, Conflict Resolution, Interview Techniques |
| 21EEC601T | Computer Architecture and Organization | Core | 3 | CPU Design, Memory Hierarchy, Pipelining and Parallelism, Input/Output Organization, Instruction Set Architecture |
| 21EEC602T | Internet of Things (IoT) | Core | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Cloud Platforms for IoT, IoT Security and Privacy |
| 21EEC602L | Internet of Things (IoT) Laboratory | Lab | 1 | IoT Device Programming, Sensor Interfacing, Cloud Integration, Data Analytics on IoT, Building Smart Applications |
| 21EELXXX | Elective II (e.g., Machine Learning for Embedded Systems) | Programme Elective | 3 | Introduction to Machine Learning, Embedded ML Architectures, Model Optimization for Edge, TinyML Frameworks, Real-time Embedded AI Applications |
| 21EELXXX | Elective III (e.g., Advanced Communication Systems) | Programme Elective | 3 | Wireless Communication Principles, MIMO Systems, OFDM Technology, 5G Communication, Satellite Communication |
| 21GEC004L | Generic Elective II (e.g., Entrepreneurship Development) | Generic Elective | 2 | Startup Ecosystem in India, Business Plan Creation, Funding and Venture Capital, Marketing Strategies, Legal Aspects of Business |
| 21EIP601J | Industrial Internship | Project | 1 | Industry Exposure, Practical Skill Application, Project Implementation, Professional Networking, Technical Report Writing |
| 21EEP602J | Project Work II | Project | 2 | Advanced Prototyping, Testing and Validation, Data Analysis and Interpretation, Technical Documentation, Mid-term Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EELXXX | Elective IV (e.g., Data Analytics for ECE) | Programme Elective | 3 | Statistical Data Analysis, Machine Learning Algorithms, Big Data Technologies, Signal Data Processing, Data Visualization |
| 21EELXXX | Elective V (e.g., Renewable Energy Systems) | Programme Elective | 3 | Solar Photovoltaic Systems, Wind Energy Systems, Battery Storage Technologies, Grid Integration of Renewables, Energy Management |
| 21EELXXX | Elective VI (e.g., Cloud Computing) | Programme Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Virtualization, Cloud Security, Cloud Storage, Serverless Computing |
| 21EELXXX | Elective VII (e.g., Deep Learning for Signal Processing) | Programme Elective | 3 | Neural Networks Basics, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning for Audio, Deep Learning for Image Processing |
| 21EEC701P | Project Work III | Project | 6 | Research Methodology, System Design and Implementation, Extensive Testing and Validation, Project Management, Technical Report and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21EELXXX | Elective VIII (e.g., Optical Communication) | Programme Elective | 3 | Fiber Optic Communication, Optical Sources and Detectors, WDM Systems, Optical Networks, Free-Space Optics |
| 21EELXXX | Elective IX (e.g., Blockchain Technology) | Programme Elective | 3 | Blockchain Fundamentals, Cryptocurrency and Consensus, Smart Contracts, Distributed Ledger Technologies, Blockchain Applications |
| 21EEC801P | Project Work IV / Internship (Optional) | Project | 12 | Comprehensive Project Development, Industry-Standard Practices, Final Product Delivery, Thesis Writing, Oral Defense and Presentation |
