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B-TECH in Electronics Computer Engineering at Sharda University
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is Electronics & Computer Engineering at Sharda University Gautam Buddh Nagar?
This Electronics & Computer Engineering program at Sharda University focuses on integrating hardware design, software development, and intelligent systems. It provides a robust foundation in core electronics, signal processing, and communication alongside comprehensive computer science concepts like data structures, algorithms, and AI/ML. The curriculum is designed to meet the evolving demands of the Indian tech industry, producing engineers capable of innovating across diverse domains.
Who Should Apply?
This program is ideal for 10+2 graduates with a strong aptitude for mathematics, physics, and problem-solving, seeking entry into the rapidly expanding fields of embedded systems, AI, IoT, and cybersecurity. It also benefits those aspiring to work at the intersection of hardware and software, designing intelligent devices, or developing advanced computing solutions for various Indian industries. A foundational interest in both electronic circuits and programming is highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths in India as embedded system engineers, AI/ML developers, network specialists, IoT architects, or VLSI designers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA. The interdisciplinary nature prepares students for roles in R&D, product development, and system integration within top Indian and multinational companies, aligning with industry certifications in areas like AI, IoT, or embedded programming.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Actively participate in online competitive programming platforms to solidify understanding of C/C++ and Data Structures. This builds logic, problem-solving speed, and efficient coding skills crucial for all future courses.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, LeetCode (for basic problems)
Career Connection
Essential for cracking technical interviews, developing strong algorithmic thinking for software roles, and designing efficient embedded solutions.
Form Study Groups for Core Engineering Subjects- (Semester 1-2)
Collaborate with peers to discuss challenging concepts in Engineering Physics, Mathematics, and Electrical & Electronics. Teaching each other helps reinforce learning, identify gaps, and develop teamwork abilities.
Tools & Resources
Whiteboards, online collaboration tools (e.g., Google Meet for discussions), shared notes
Career Connection
Improves conceptual clarity vital for higher semesters, enhances communication skills, and fosters a collaborative mindset sought by employers.
Explore Basic Electronics Projects with Development Boards- (Semester 2 (after Basic Electrical & Electronics Engg.))
Get hands-on with introductory electronics by building simple circuits using breadboards and beginner-friendly microcontrollers like Arduino. This practical application bridges theory and real-world implementation.
Tools & Resources
Arduino Uno kits, breadboards, basic sensors (LEDs, resistors, ultrasonic sensor), TinkerCAD (for simulation)
Career Connection
Lays groundwork for embedded systems, IoT, and robotics, showcasing practical problem-solving abilities to recruiters.
Intermediate Stage
Engage in Mini-Projects and Hackathons Focused on ECE-CS Integration- (Semester 3-5)
Apply knowledge from Digital Electronics, Microcontrollers, OOP, and DBMS by developing interdisciplinary projects. Participate in hackathons to gain quick problem-solving experience under pressure.
Tools & Resources
Raspberry Pi, ESP32, Java/Python IDEs, SQL databases, GitHub for version control
Career Connection
Builds a strong portfolio for internships, develops practical skills in system design, and prepares for industry challenges requiring both hardware and software expertise.
Seek Industry Internships and Workshops- (Summer breaks after Semester 4 and Semester 6)
Proactively look for summer internships or participate in industry-led workshops in areas like VLSI, Embedded C, or Data Analytics. This provides crucial exposure to professional work environments and industry practices.
Tools & Resources
LinkedIn, university career services, company websites, industry events (e.g., tech conferences, workshops)
Career Connection
Vital for gaining practical experience, networking with professionals, understanding career paths, and significantly improving placement prospects.
Specialize through Advanced Online Courses and Certifications- (Semester 4-5)
Complement classroom learning by taking specialized online courses in areas like Machine Learning, Cloud Computing, or IoT from platforms like Coursera or NPTEL. Aim for certifications to validate skills.
Tools & Resources
Coursera, edX, NPTEL, Udemy, specific vendor certifications (AWS, Cisco, ARM)
Career Connection
Demonstrates initiative and in-depth knowledge in high-demand areas, making students more competitive for specialized roles and advanced studies.
Advanced Stage
Undertake a Comprehensive Major Project with Industry Relevance- (Semester 7-8)
Select a challenging final-year project that integrates ECE and CS concepts, ideally addressing a real-world problem or having research potential. Focus on robust design, implementation, and detailed documentation.
Tools & Resources
Advanced development boards (e.g., NVIDIA Jetson, FPGA kits), professional software (e.g., MATLAB, Altium Designer, various IDEs), research papers, mentorship from faculty/industry
Career Connection
Serves as a strong portfolio piece, demonstrates problem-solving capabilities, technical depth, and project management skills for potential employers or higher studies.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Dedicate significant time to aptitude test preparation, resume building, and practicing technical and HR interviews. Participate in mock interviews conducted by the university placement cell or external consultants.
Tools & Resources
Online aptitude platforms (IndiaBix), interview preparation guides, company-specific interview questions (Glassdoor), LinkedIn for professional networking
Career Connection
Directly improves chances of securing good placements, builds confidence, and refines communication skills essential for corporate roles.
Engage in Research or Publication (Optional but Recommended)- (Semester 7-8)
For students interested in higher studies or R&D roles, collaborating with faculty on research papers, attending conferences, or publishing work can provide a significant edge.
Tools & Resources
Research journals, IEEE Xplore, Google Scholar, university research labs, faculty guidance
Career Connection
Strengthens academic profile for M.Tech/Ph.D. admissions, opens doors to R&D careers, and demonstrates intellectual curiosity and scientific rigor.
Program Structure and Curriculum
Eligibility:
- Minimum 60% aggregate in 10+2 / Diploma. Minimum 50% in Maths in 10+2. A Candidate must have Physics, Chemistry & Maths/Biology/Computer Science in 10+2. All SC/ST applicants will get a 5% relaxation in the minimum eligibility.
Duration: 8 semesters / 4 years
Credits: 171 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPHT1001 | Engineering Physics | Core | 4 | Relativistic Mechanics, Quantum Mechanics, Solid State Physics, Electromagnetic Theory, Optical Fiber & LASER |
| BMAT1001 | Engineering Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Linear Algebra |
| BEEE1001 | Basic Electrical & Electronics Engineering | Core | 4 | DC Circuits, AC Circuits, Electrical Machines, Semiconductor Devices, Diodes and Transistors |
| BCSE1001 | Programming for Problem Solving | Core | 4 | Programming Fundamentals, Data Types and Variables, Control Structures, Functions and Modules, Basic Algorithms |
| BPHT1002 | Engineering Physics Lab | Lab | 1 | Experiments related to optics, Experiments related to mechanics, Experiments related to electricity, Experiments related to magnetism |
| BEEE1002 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Experiments on circuits, Ohm''''s law and Kirchhoff''''s laws, Diode characteristics, Transistor characteristics |
| BCSE1002 | Programming for Problem Solving Lab | Lab | 1 | Practical implementation of C programming, Problem-solving using C language constructs, Debugging and testing code |
| BWSF1001 | Workshop Practice | Lab | 1 | Carpentry, Fitting, Welding, Foundry, Machining |
| BMNC1001 | Universal Human Values & Ethics | Mandatory Non-Credit | 0 | Self-exploration and self-awareness, Understanding human values, Harmony in relationships, Ethical conduct, Holistic development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCHT1001 | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry, Corrosion and its control, Fuel and Combustion, Polymer Chemistry |
| BMAT1002 | Engineering Mathematics - II | Core | 4 | Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Probability & Statistics |
| BCSE1003 | Data Structures | Core | 4 | Arrays and Pointers, Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| BESE1001 | Environmental Science | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Renewable Energy Sources, Environmental Management |
| BHUM1001 | English Professional Communication | Core | 3 | Communication Skills, Technical Writing, Presentation Skills, Group Discussion, Interview Techniques |
| BCHT1002 | Engineering Chemistry Lab | Lab | 1 | Volumetric analysis, pHmetry and conductometry, Viscometry and surface tension, Bomb calorimetry, Water quality testing |
| BCSE1004 | Data Structures Lab | Lab | 1 | Implementation of stacks and queues, Implementation of linked lists, Implementation of trees and graphs, Sorting algorithms, Searching algorithms |
| BESE1002 | Environmental Science Lab | Lab | 1 | Water quality analysis, Soil analysis, Air quality monitoring, Waste management practices |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMAT2001 | Engineering Mathematics - III (Numerical Methods and Transforms) | Core | 4 | Numerical Methods, Laplace and Fourier Transforms, Z-Transforms, Probability Distributions, Statistical Inference |
| BECE2001 | Analog Electronic Circuits | Core | 4 | Diode Circuits, Transistor Biasing, BJT & FET Amplifiers, Feedback Amplifiers, Oscillators and OP-AMPs |
| BECE2002 | Digital Electronic Circuits | Core | 4 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memories and PLDs, ADC/DAC Converters |
| BECE2003 | Signals and Systems | Core | 4 | Signal Classification, System Properties, Fourier Transform, Laplace Transform, Z-Transform, Convolution and Correlation |
| BCSE2001 | Object-Oriented Programming using Java | Core | 3 | OOP Concepts, Classes & Objects, Inheritance and Polymorphism, Exception Handling, GUI Programming with AWT/Swing |
| BECE2004 | Analog Electronic Circuits Lab | Lab | 1 | Design and testing of diode circuits, Transistor biasing and amplifiers, Operational amplifier applications, Oscillator circuits |
| BECE2005 | Digital Electronic Circuits Lab | Lab | 1 | Implementation of logic gates, Design of combinational circuits, Design of sequential circuits, Experiments with multiplexers and decoders |
| BCSE2002 | Object-Oriented Programming using Java Lab | Lab | 1 | Practical implementation of OOP concepts in Java, Developing small applications using Java, Database connectivity using JDBC |
| BMNC2001 | Constitution of India | Mandatory Non-Credit | 0 | Preamble and Basic Features, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Governments, Judiciary and Emergency Provisions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BECE2006 | Analog and Digital Communication | Core | 4 | Amplitude Modulation (AM, DSB, SSB), Frequency and Phase Modulation (FM, PM), Noise in Communication Systems, Sampling and Pulse Code Modulation (PCM), Digital Modulation Techniques (ASK, FSK, PSK) |
| BECE2007 | Microcontrollers and Embedded Systems | Core | 4 | Microcontroller Architecture (8051, ARM), Assembly Language Programming, Embedded C Programming, Interfacing Peripherals, Interrupts and Timers |
| BECE2008 | Control Systems | Core | 4 | System Modeling (Transfer Functions), Block Diagram Reduction, Time Response Analysis, Frequency Response Analysis, Stability Analysis (Routh-Hurwitz, Bode, Root Locus) |
| BCSE2003 | Database Management Systems | Core | 3 | ER Model and Relational Model, SQL Queries and Operations, Normalization, Transaction Management, Concurrency Control |
| BCSE2004 | Operating Systems | Core | 3 | Process Management and CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems and I/O Systems |
| BECE2009 | Analog and Digital Communication Lab | Lab | 1 | Experiments on AM/FM modulation and demodulation, Pulse code modulation (PCM), Digital modulation techniques (ASK, FSK, PSK), Noise effects on communication |
| BECE2010 | Microcontrollers and Embedded Systems Lab | Lab | 1 | Programming 8051/ARM microcontrollers, Interfacing LEDs, LCD, switches, sensors, Motor control using microcontrollers, Timer and interrupt programming |
| BECE2011 | Control Systems Lab | Lab | 1 | Simulation of control systems using MATLAB/Simulink, Hardware experiments on DC motor control, Stability analysis techniques, PID controller tuning |
| BMNC2002 | Essence of Indian Knowledge Tradition | Mandatory Non-Credit | 0 | Vedas and Upanishads, Indian Philosophical Schools, Yoga and Ayurveda, Indian Arts and Sciences, Concept of Dharma and Karma |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BECE3001 | Digital Signal Processing | Core | 4 | Discrete-time signals and systems, Z-transform and its applications, Discrete Fourier Transform (DFT) and FFT, Digital Filter Design (FIR and IIR), Multirate Digital Signal Processing |
| BECE3002 | VLSI Design | Core | 4 | CMOS Technology and Fabrication, MOSFET Characteristics, CMOS Inverter Design, Combinational and Sequential MOS Logic, VLSI Design Flow, ASIC, FPGA |
| BCSE3001 | Computer Networks | Core | 4 | OSI and TCP/IP Model, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| BECE3003 | Probability & Stochastic Processes | Core | 3 | Probability Axioms, Random Variables and Distributions, Stochastic Processes, Markov Chains, Queuing Theory |
| BECE3004 | Computer Architecture and Organization | Core | 3 | Basic Computer Organization, CPU Design and Instruction Sets, Hardwired and Microprogrammed Control, Memory Hierarchy, Input/Output Organization |
| BECE3005 | Digital Signal Processing Lab | Lab | 1 | DSP algorithm implementation using MATLAB/Scilab, FIR and IIR filter design, DFT and FFT algorithms, Audio signal processing |
| BECE3006 | VLSI Design Lab | Lab | 1 | Design and simulation of digital circuits using Verilog/VHDL, FPGA implementation of logic circuits, CMOS inverter characteristics, Layout design using EDA tools |
| BCSE3002 | Computer Networks Lab | Lab | 1 | Network configuration and troubleshooting, Socket programming, Network protocol analysis using Wireshark, Client-server application development |
| BENG3001 | Engineering Economics | Elective | 2 | Principles of Engineering Economics, Demand and Supply Analysis, Cost Analysis and Break-Even Point, Market Structures, Project Evaluation Techniques |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BECE3007 | Microwave & Optical Communication | Core | 4 | Microwave Devices (Klystron, Magnetron), Transmission Lines and Waveguides, Optical Fibers and their characteristics, LEDs, LASERs, and Photodetectors, Optical Communication Systems |
| BECE3008 | Machine Learning for ECE | Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Basics (Neural Networks), Applications in Electronics and Communication |
| BECE3009 | Artificial Intelligence & Robotics | Core | 4 | AI Fundamentals and Search Algorithms, Knowledge Representation and Reasoning, Robotics Kinematics and Dynamics, Sensors and Actuators in Robotics, Robot Control Architectures |
| OPEN ELECTIVE 1 | Open Elective - I | Open Elective | 3 | |
| BECE3010 | Microwave & Optical Communication Lab | Lab | 1 | Experiments on microwave components and measurements, Characteristics of optical fibers, LED and LASER characteristics, Optical link setup and performance analysis |
| BECE3011 | Machine Learning for ECE Lab | Lab | 1 | Implementation of ML algorithms using Python/R, Data preprocessing and feature engineering, Model training and evaluation, Deep learning framework basics |
| BECE3012 | Artificial Intelligence & Robotics Lab | Lab | 1 | Programming robotic platforms (e.g., Arduino, ROS), Implementation of AI search algorithms, Sensor integration and data processing, Robot path planning |
| BECE3013 | Minor Project | Project | 2 | Project conceptualization and planning, System design and architecture, Implementation and coding, Testing and debugging, Report writing and presentation |
| BMNC3001 | Aptitude & Soft Skills | Mandatory Non-Credit | 0 | Quantitative Aptitude, Logical Reasoning, Verbal Ability, Communication Skills, Personality Development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DEPARTMENT ELECTIVE 1 | Department Elective - I | Department Elective | 3 | |
| DEPARTMENT ELECTIVE 2 | Department Elective - II | Department Elective | 3 | |
| DEPARTMENT ELECTIVE 3 | Department Elective - III | Department Elective | 3 | |
| OPEN ELECTIVE 2 | Open Elective - II | Open Elective | 3 | |
| BECE4001 | Data Communication & Networks | Core | 4 | Digital Data Transmission, Network Topologies and Protocols, Error Detection and Correction, Flow Control and Congestion Control, Wireless and Mobile Networks |
| BECE4002 | Project Work-I | Project | 2 | Problem identification and literature review, Methodology development, Initial system design, Prototyping and partial implementation, Interim report and presentation |
| BECE4003 | Industrial Training/Internship | Industrial Training | 3 | Practical industry exposure, Application of theoretical knowledge, Skill development in a professional environment, Understanding organizational structure, Professional conduct and ethics |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DEPARTMENT ELECTIVE 4 | Department Elective - IV | Department Elective | 3 | |
| DEPARTMENT ELECTIVE 5 | Department Elective - V | Department Elective | 3 | |
| OPEN ELECTIVE 3 | Open Elective - III | Open Elective | 3 | |
| BECE4004 | Project Work-II | Project | 6 | Advanced system development and integration, Experimental validation and testing, Performance analysis and optimization, Final report preparation, Project defense and presentation |
| BECE4005 | Seminar | Seminar | 0 | Technical presentation skills, Literature review on current trends, Critical analysis of technical topics, Public speaking and audience engagement, Question and answer handling |
