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B-TECH in Electronics Communication Engineering at JAIN (Deemed-to-be University)
Bengaluru, Karnataka
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About the Specialization
What is Electronics & Communication Engineering at JAIN (Deemed-to-be University) Bengaluru?
This Electronics & Communication Engineering program at JAIN University focuses on building a strong foundation in designing, developing, and testing electronic circuits, communication systems, and embedded solutions. With India''''s rapidly expanding electronics manufacturing and digital infrastructure, the program is tailored to meet the escalating industry demand for skilled ECE professionals. Key differentiators include a strong emphasis on practical lab work, industry-aligned projects, and exposure to cutting-edge technologies like IoT, AI/ML in signal processing, and VLSI design.
Who Should Apply?
This program is ideal for fresh graduates from 10+2 seeking entry into the core electronics and communication sectors. It also caters to engineering diploma holders looking to pursue a full degree. Aspiring innovators, researchers, and professionals keen on contributing to India''''s semiconductor, telecommunications, and smart systems industries will find this program highly beneficial, especially those with a strong aptitude for mathematics, physics, and problem-solving.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as design engineers, R&D engineers, embedded system developers, network engineers, and test engineers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA. Growth trajectories are strong in rapidly evolving fields like 5G, IoT, and AI hardware. The curriculum also prepares students for professional certifications in areas like VLSI design, embedded systems, and network administration.
Student Success Practices
Foundation Stage
Master Basic Sciences & Engineering Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand core concepts in Physics, Chemistry, Calculus, and C/Python programming. Utilize university''''s academic support, online platforms like NPTEL for conceptual clarity, and practice problem-solving regularly to build a strong analytical base. Form study groups to discuss challenging topics.
Tools & Resources
NPTEL courses, Khan Academy, GeeksforGeeks for coding, Peer study groups
Career Connection
A solid foundation in these subjects is critical for advanced engineering topics and serves as the bedrock for placements, especially in core engineering and IT roles.
Develop Hands-on Lab Skills- (Semester 1-2)
Actively participate in all laboratory sessions, meticulously document experiments, and understand the practical implications of theoretical concepts. Seek additional lab time to experiment with components and circuits beyond the curriculum, fostering practical problem-solving abilities early on.
Tools & Resources
Breadboards, Multimeters, Oscilloscopes, Lab manuals, Online circuit simulators like Tinkercad
Career Connection
Practical skills are highly valued by employers. Proficiency in lab work directly translates to better performance in technical interviews and contributes to innovative project development.
Engage in Technical Clubs & Workshops- (Semester 1-2)
Join departmental clubs (e.g., ECE club, Robotics club) to explore interests, learn new tools, and collaborate on small projects. Attend workshops on topics like Arduino, Raspberry Pi, or basic electronics to gain early exposure to applied engineering. This expands your network and practical knowledge.
Tools & Resources
University technical clubs, Departmental workshops, Online tutorials for beginner projects
Career Connection
Early engagement showcases initiative, builds a project portfolio, and helps identify specific areas of interest for future specialization and internships.
Intermediate Stage
Deep Dive into Core ECE Subjects- (Semester 3-5)
Focus intensely on core ECE subjects like Electronic Devices and Circuits, Digital System Design, Signals and Systems, and Microcontrollers. Supplement classroom learning with advanced textbooks, online courses, and research papers. Regularly solve numerical problems and design exercises to solidify understanding.
Tools & Resources
Reference books (Sedra/Smith, Oppenheim), Coursera/edX for specialized courses, GATE study material for practice
Career Connection
Strong grasp of these subjects is essential for excelling in technical interviews for ECE core companies and for choosing relevant professional electives.
Pursue Mini-Projects and Competitions- (Semester 3-5)
Identify areas of interest and undertake mini-projects, individually or in teams, applying concepts learned in class. Participate in inter-collegiate technical competitions (e.g., circuit design, embedded systems challenge) to gain exposure, test skills, and build a project portfolio.
Tools & Resources
Development boards (Arduino, ESP32), EDA tools (Eagle, KiCad), Hackathons and technical fests
Career Connection
Projects demonstrate problem-solving abilities and practical application of knowledge, making resumes stand out for internships and job applications. Competition wins enhance credibility.
Seek Industry Internships (Summer/Winter)- (Semester 3-5)
Actively look for short-term internships during semester breaks in companies related to electronics design, embedded systems, telecom, or VLSI. Even unpaid internships offer invaluable industry exposure, networking opportunities, and a chance to apply academic learning in a professional setting.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
Internships are crucial for understanding corporate culture, gaining industry-relevant skills, and often lead to pre-placement offers or strong referrals for future jobs.
Advanced Stage
Specialize through Electives and Advanced Courses- (Semester 6-8)
Strategically choose professional and open electives aligned with your career aspirations (e.g., VLSI, IoT, Communication Networks, AI/ML). Consider pursuing NPTEL/Coursera certifications in these specialized areas to gain advanced knowledge and demonstrate expertise.
Tools & Resources
Advanced NPTEL courses, Specialized certifications (e.g., Cadence, Cisco), IEEE publications
Career Connection
Specialization makes you a more targeted candidate for specific industry roles and can command higher starting salaries in niche domains.
Undertake a Comprehensive Major Project- (Semester 6-8)
Collaborate with faculty on a significant research or development project that solves a real-world problem or contributes to existing knowledge. Focus on a thorough design, robust implementation, rigorous testing, and clear documentation. Aim for publication in conferences or journals if possible.
Tools & Resources
Advanced EDA software, High-performance microcontrollers/FPGAs, Research papers, Project mentors
Career Connection
A strong major project is the highlight of your academic journey, showcasing your full engineering capabilities and often serving as a key talking point in high-level technical interviews. It''''s a gateway to R&D roles and higher studies.
Intensive Placement Preparation & Networking- (Semester 7-8)
Dedicate ample time to aptitude test preparation, mock interviews (technical and HR), and resume building. Attend campus recruitment drives, industry seminars, and alumni networking events. Actively engage with mentors and career counselors for guidance on job search strategies and interview techniques.
Tools & Resources
Online aptitude platforms (IndiaBix), Mock interview sessions, LinkedIn for professional networking, College placement cell resources
Career Connection
Effective preparation maximizes your chances of securing a desirable job offer from top companies. Networking can open doors to opportunities not publicly advertised.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 / PUC (or equivalent) with Physics, Mathematics, and English as compulsory subjects along with Chemistry / Biology / Computer Science / Electronics as optional subjects from a recognized Board, with an aggregate of at least 45% marks (40% for SC/ST candidates).
Duration: 4 years (8 semesters)
Credits: 171 Credits
Assessment: Internal: 50% (Continuous Internal Evaluation - CIE), External: 50% (Semester End Examination - SEE)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HFE101 | Professional Communication | Humanities, Social Sciences and Management (HSMC) | 3 | Basics of Communication, Listening Skills, Reading Comprehension, Writing Skills, Public Speaking |
| 23BSC102 | Engineering Physics | Basic Science Course (BSC) | 4 | Quantum Mechanics, Lasers and Photonics, Wave Optics, Solid State Physics, Engineering Materials |
| 23BSC103 | Calculus and Linear Algebra | Basic Science Course (BSC) | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors |
| 23ESC104 | Basic Electrical & Electronics Engineering | Engineering Science Course (ESC) | 4 | DC and AC Circuits, Circuit Laws, Diode Characteristics, Transistors, Operational Amplifiers |
| 23ESC105 | C Programming for Problem Solving | Engineering Science Course (ESC) | 4 | C Language Fundamentals, Control Structures, Functions, Arrays and Pointers, File Handling |
| 23BSL106 | Engineering Physics Lab | Basic Science Course (BSC) Lab | 1 | Verification of Laws, Material Characterization, Optical Experiments, Electronic Circuit Measurements, Thermal Conductivity |
| 23ESL107 | Basic Electrical & Electronics Engineering Lab | Engineering Science Course (ESC) Lab | 1 | Circuit Theory Experiments, Diode and Transistor Characteristics, Rectifier Circuits, Amplifier Circuits, Logic Gates |
| 23ESL108 | C Programming for Problem Solving Lab | Engineering Science Course (ESC) Lab | 1 | Basic C Programming, Conditional Statements, Loops, Functions Implementation, Array Manipulation |
| 23ESL109 | Engineering Graphics | Engineering Science Course (ESC) Lab | 2 | Orthographic Projections, Isometric Projections, Sectional Views, CAD Tools Introduction, Development of Surfaces |
| 23MNC110 | Constitution of India | Mandatory Non-Credit Course (MNC) | 0 | Preamble and Basic Structure, Fundamental Rights, Directive Principles, Union and State Governments, Electoral Process |
| 23MNC111 | Universal Human Values | Mandatory Non-Credit Course (MNC) | 0 | Self-Exploration, Harmony in the Family, Harmony in Society, Harmony in Nature, Professional Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HFE201 | Communicative English | Humanities, Social Sciences and Management (HSMC) | 3 | Grammar and Usage, Vocabulary Building, Reading Strategies, Writing for Professional Contexts, Presentation Skills |
| 23BSC202 | Engineering Chemistry | Basic Science Course (BSC) | 4 | Electrochemistry, Corrosion and its Control, Polymer Chemistry, Water Technology, Nano Materials |
| 23BSC203 | Differential Equations and Complex Analysis | Basic Science Course (BSC) | 4 | Ordinary Differential Equations, Partial Differential Equations, Laplace Transforms, Complex Numbers, Conformal Mapping |
| 23ESC204 | Programming in Python | Engineering Science Course (ESC) | 4 | Python Fundamentals, Data Structures, Object-Oriented Programming, File I/O, GUI Programming |
| 23ESC205 | Elements of Mechanical Engineering | Engineering Science Course (ESC) | 4 | Thermodynamics, Fluid Mechanics, Power Plants, Manufacturing Processes, Mechanical Systems |
| 23BSL206 | Engineering Chemistry Lab | Basic Science Course (BSC) Lab | 1 | Volumetric Analysis, Instrumental Analysis, Water Quality Testing, Polymer Synthesis, Corrosion Studies |
| 23ESL207 | Programming in Python Lab | Engineering Science Course (ESC) Lab | 1 | Python Scripting, Data Manipulation, Algorithm Implementation, Web Scraping Basics, Library Usage |
| 23ESL208 | Workshop Practice | Engineering Science Course (ESC) Lab | 1 | Carpentry, Welding, Fitting, Sheet Metal Work, Foundry |
| 23AEC209 | Environmental Science | Ability Enhancement Course (AEC) | 1 | Ecosystems, Pollution Control, Waste Management, Renewable Energy, Environmental Policies |
| 23MNC210 | Entrepreneurship and Innovation | Mandatory Non-Credit Course (MNC) | 0 | Entrepreneurial Mindset, Business Idea Generation, Startup Ecosystem, Innovation Process, Business Plan Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23BSC301 | Transforms and Statistics | Basic Science Course (BSC) | 3 | Fourier Series, Fourier Transforms, Z-Transforms, Probability Theory, Statistical Distributions |
| 23ECC302 | Electronic Devices and Circuits | Professional Core (PC) | 4 | Diode Circuits, Bipolar Junction Transistors, Field Effect Transistors, Amplifier Design, Feedback Amplifiers |
| 23ECC303 | Digital System Design | Professional Core (PC) | 4 | Boolean Algebra, Logic Gates, Combinational Logic, Sequential Logic, HDL for Digital Design |
| 23ECC304 | Network Theory | Professional Core (PC) | 4 | Network Theorems, Transient Analysis, Two-Port Networks, Resonance Circuits, Network Functions |
| 23ECC305 | Analog Communication | Professional Core (PC) | 4 | Amplitude Modulation, Frequency Modulation, Phase Modulation, Noise in Communication Systems, Receivers and Transmitters |
| 23ECL306 | Electronic Devices and Circuits Lab | Professional Core (PC) Lab | 1 | Diode Characteristics, Transistor Biasing, Amplifier Performance, Oscillator Circuits, Filter Design |
| 23ECL307 | Digital System Design Lab | Professional Core (PC) Lab | 1 | Basic Logic Gates, Combinational Circuits, Sequential Circuits, FPGA Implementation, HDL Programming |
| 23ECL308 | Analog Communication Lab | Professional Core (PC) Lab | 1 | Amplitude Modulation/Demodulation, Frequency Modulation/Demodulation, Sampling Theorem, Noise Measurement, Mixer Circuits |
| 23SEC309 | Skill Enhancement Course - I | Skill Enhancement Course (SEC) | 3 | Data Analysis with Excel, MATLAB for Engineers, Technical Writing Skills, Introduction to CAD Tools, Soft Skills for Engineers |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ECC401 | Linear Integrated Circuits | Professional Core (PC) | 4 | Operational Amplifiers, Op-Amp Applications, Voltage Regulators, Timers (555 IC), Data Converters (ADC/DAC) |
| 23ECC402 | Signals and Systems | Professional Core (PC) | 4 | Continuous-Time Signals, Discrete-Time Signals, LTI Systems, Fourier Analysis, Laplace and Z-Transforms |
| 23ECC403 | Microcontrollers | Professional Core (PC) | 4 | 8051 Architecture, Instruction Set, Memory Interfacing, Peripherals (Timers, Serial Port), Embedded C Programming |
| 23ECC404 | Electromagnetic Waves | Professional Core (PC) | 4 | Maxwell''''s Equations, Wave Propagation, Transmission Lines, Waveguides, Antenna Fundamentals |
| 23ECC405 | Digital Communication | Professional Core (PC) | 4 | Sampling and Quantization, Pulse Modulation Techniques, Digital Modulation Schemes, Spread Spectrum, Information Theory |
| 23ECL406 | Linear Integrated Circuits Lab | Professional Core (PC) Lab | 1 | Op-Amp Circuits, Filter Design, Timer Applications, ADC/DAC Interfacing, Voltage Regulators |
| 23ECL407 | Microcontrollers Lab | Professional Core (PC) Lab | 1 | 8051 Assembly Programming, GPIO Interfacing, Timer/Counter Programming, Serial Communication, LCD/Keypad Interfacing |
| 23ECL408 | Digital Communication Lab | Professional Core (PC) Lab | 1 | Sampling and Reconstruction, PCM/DPCM, ASK/FSK/PSK Modulation, Line Coding, Error Detection |
| 23AEC409 | Research Methodology | Ability Enhancement Course (AEC) | 1 | Problem Formulation, Literature Review, Data Collection Methods, Statistical Analysis, Technical Report Writing |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ECC501 | Control Systems | Professional Core (PC) | 4 | System Modeling, Time Domain Analysis, Frequency Domain Analysis, Stability Analysis, Controller Design |
| 23ECC502 | Digital Signal Processing | Professional Core (PC) | 4 | Discrete Fourier Transform, Fast Fourier Transform, Z-Transform Applications, IIR Filter Design, FIR Filter Design |
| 23ECC503 | VLSI Design | Professional Core (PC) | 4 | MOSFET Fundamentals, CMOS Inverter, Combinational Logic Design, Sequential Logic Design, VLSI Testing |
| 23ECL504 | Digital Signal Processing Lab | Professional Core (PC) Lab | 1 | DFT/FFT Implementation, Filter Design using MATLAB, Real-time DSP Applications, Speech Processing, Image Processing Basics |
| 23ECL505 | VLSI Design Lab | Professional Core (PC) Lab | 1 | CMOS Circuit Simulation, Layout Design using EDA Tools, FPGA Synthesis, Verilog/VHDL for VLSI, Timing Analysis |
| 23ECE5XX | Professional Elective - I | Professional Elective (PE) | 3 | Advanced Digital Communication, Embedded System Design, Microwave Engineering, Biomedical Instrumentation, Optical Fiber Communication |
| 23ECO5XX | Open Elective - I | Open Elective (OE) | 3 | IoT Fundamentals, Artificial Intelligence Basics, Data Analytics, Introduction to Cyber Security, Project Management |
| 23SEC506 | Skill Enhancement Course - II | Skill Enhancement Course (SEC) | 3 | Advanced Python Programming, Arduino/Raspberry Pi Programming, Technical Presentation Skills, Report Writing and Documentation, Teamwork and Collaboration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ECC601 | Antennas and Propagation | Professional Core (PC) | 4 | Antenna Fundamentals, Antenna Types (Dipole, Yagi, Array), Antenna Parameters, Wave Propagation Mechanisms, Link Budget Analysis |
| 23ECC602 | Analog and Mixed-Signal VLSI Design | Professional Core (PC) | 4 | CMOS Amplifier Design, Current Mirrors, Differential Amplifiers, Analog Layout, Mixed-Signal Circuits |
| 23ECL603 | Antennas and Propagation Lab | Professional Core (PC) Lab | 1 | Antenna Radiation Pattern, Antenna Impedance Measurement, VSWR Measurement, Link Establishment, Spectrum Analysis |
| 23ECL604 | Analog and Mixed-Signal VLSI Design Lab | Professional Core (PC) Lab | 1 | CMOS Op-Amp Simulation, Analog Filter Design, ADC/DAC Implementation, Mixed-Signal Layout, RF Circuit Design Basics |
| 23ECE6XX | Professional Elective - II | Professional Elective (PE) | 3 | Radar Systems, Speech and Audio Processing, Wireless Communication, Image and Video Processing, Embedded Linux |
| 23ECO6XX | Open Elective - II | Open Elective (OE) | 3 | Cloud Computing Basics, Machine Learning Essentials, Robotics Fundamentals, Blockchain Technology, Digital Marketing |
| 23MNC605 | Professional Ethics and Human Values | Mandatory Non-Credit Course (MNC) | 0 | Engineering Ethics, Moral Dilemmas, Safety and Risk, Rights and Responsibilities, Global Issues |
| 23PRJ606 | Minor Project | Project | 4 | Project Planning, Literature Survey, Design and Implementation, Testing and Validation, Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ECC701 | Internet of Things (IoT) | Professional Core (PC) | 4 | IoT Architecture, Sensor Networks, Communication Protocols (MQTT, CoAP), Cloud Platforms for IoT, IoT Security |
| 23ECE7XX | Professional Elective - III | Professional Elective (PE) | 3 | Low Power VLSI Design, RF System Design, Adaptive Signal Processing, MEMS, Satellite Communication |
| 23ECE7XX | Professional Elective - IV | Professional Elective (PE) | 3 | Data Communication Networks, Medical Electronics, Automotive Electronics, Robotics and Automation, Cyber Physical Systems |
| 23ECO7XX | Open Elective - III | Open Elective (OE) | 3 | Financial Management, Supply Chain Management, Human Resource Management, Digital Fabrication, Creative Thinking |
| 23INT702 | Internship/Industrial Project | Internship/Project | 4 | Industry Problem Identification, Solution Design, Implementation and Testing, Project Documentation, Presentation and Viva |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ECC801 | Machine Learning for Signal Processing | Professional Core (PC) | 4 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning Basics, Applications in ECE |
| 23PRJ802 | Major Project | Project | 8 | Advanced Project Planning, System Design and Architecture, Implementation and Integration, Comprehensive Testing, Thesis Writing and Defense |
