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B-TECH in Electronics And Computer Engineering With Spl at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Electronics and Computer Engineering (with Spl.) at CHRIST (Deemed to be University) Bengaluru?
This Electronics and Computer Engineering (with Spl.) program at CHRIST, Bengaluru focuses on the synergistic blend of hardware and software, integrating principles of electronics, computer science, and communication. It prepares students for roles in emerging fields like IoT, AI/ML, and embedded systems, addressing the growing demand for interdisciplinary engineers in the Indian tech landscape.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the thriving Indian technology sector, particularly in core electronics, software development, or product design. It also suits working professionals aiming to upskill in cutting-edge domains like AI/ML engineering or embedded systems, and career changers transitioning into the hardware-software integration industry with a strong foundation.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in companies like TCS, Wipro, Infosys, and startups, as embedded engineers, IoT developers, data scientists, or hardware architects. Entry-level salaries range from INR 4-8 LPA, with experienced professionals earning INR 15-30+ LPA, aligning with industry demand for skilled integration specialists.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice C/Python programming concepts by solving problems on online coding platforms. Focus on logic building, data structures, and algorithms early on to establish a strong computational thinking base.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python documentation
Career Connection
Strong programming skills are foundational for software development, data science, and embedded systems roles, directly impacting placement readiness for tech companies.
Build Strong Engineering Science Basics- (Semester 1-2)
Pay close attention to core subjects like Linear Algebra, Physics, Electrical Engineering, and Electronic Devices. Understand the underlying principles deeply, as they form the bedrock for advanced ECE concepts and future specialization choices.
Tools & Resources
NPTEL courses, Khan Academy, Textbooks, Lab manuals
Career Connection
A solid grasp of fundamentals is crucial for interviews for core engineering roles and for effectively tackling higher-level projects and research.
Engage in Peer Learning and Technical Clubs- (Semester 1-2)
Form study groups to discuss complex topics, prepare for exams, and collaborate on small projects. Join technical clubs (e.g., IEEE, CSI chapter) to participate in workshops, mini-contests, and develop communication and teamwork skills.
Tools & Resources
University technical clubs, Discord/WhatsApp groups for study
Career Connection
Enhances problem-solving through diverse perspectives and builds a professional network, valuable for internships and referrals.
Intermediate Stage
Apply Concepts through Mini-Projects- (Semester 3-5)
Actively seek opportunities to build small projects using learned concepts in Digital Logic, Microcontrollers, Data Structures, or Analog Circuits. This could involve hobby electronics, open-source contributions, or university-led mini-projects.
Tools & Resources
Arduino, Raspberry Pi, Proteus, GitHub, university project labs
Career Connection
Practical project experience is highly valued by recruiters, demonstrating application-oriented skills and problem-solving abilities.
Explore and Specialize via Electives- (Semester 5 onwards)
Carefully choose professional and open electives based on career interests (e.g., AI/ML, VLSI, IoT). Dive deeper into these areas through additional online courses, certifications, and reading industry whitepapers to gain specialized knowledge.
Tools & Resources
Coursera, edX, Udemy, NPTEL advanced courses, IEEE Spectrum
Career Connection
Specialization helps in targeting specific job roles and industries, making you a more competitive candidate for niche positions.
Seek Early Industry Exposure (Internship I)- (Semester 5 or during summer breaks after Semester 4)
Leverage the internship opportunities provided in the curriculum. Actively participate, network with professionals, and learn industry best practices. Even short-term internships provide invaluable real-world experience.
Tools & Resources
University placement cell, LinkedIn, company career pages
Career Connection
Internships often lead to pre-placement offers, build professional references, and clarify career aspirations, significantly boosting final placements.
Advanced Stage
Develop a Capstone Project with Impact- (Semester 6-8)
Focus on designing and implementing a significant Major Project that addresses a real-world problem, ideally with industry relevance or research potential. Document it thoroughly and be prepared to showcase it extensively.
Tools & Resources
Advanced simulation software, specific hardware kits, research papers, faculty guidance
Career Connection
A strong capstone project is a key differentiator in placements, demonstrating comprehensive skill application, innovation, and independent problem-solving.
Master Advanced Technical Skills & Interview Prep- (Semester 7-8)
Dedicate time to master advanced topics in your chosen specialization (e.g., deep learning frameworks, advanced embedded debugging, communication protocols). Practice technical interviews, aptitude tests, and soft skills rigorously.
Tools & Resources
InterviewBit, LeetCode, GeeksforGeeks, mock interviews, LinkedIn Learning
Career Connection
Essential for clearing technical rounds in top companies and securing desirable job offers.
Leverage Networking and Mentorship- (Semester 6-8)
Actively participate in alumni events, industry seminars, and professional conferences. Seek mentorship from faculty or industry experts. Build a strong professional network that can offer guidance, referrals, and career opportunities.
Tools & Resources
LinkedIn, professional conferences, alumni network, faculty advisors
Career Connection
Networking opens doors to hidden job opportunities, provides insights into industry trends, and offers long-term career support and advancement.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 level with a minimum of 50% aggregate marks in Physics, Chemistry and Mathematics (PCM) from any recognised Board in India. Candidates appearing for the 10+2 final examination may also apply.
Duration: 4 years / 8 semesters
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE131L1 | Linear Algebra and Calculus | Core | 4 | Matrices and Determinants, Vector Spaces, Differential Calculus, Integral Calculus, Ordinary Differential Equations |
| ECE132L1 | Engineering Physics | Core | 4 | Oscillations and Waves, Quantum Mechanics, Solid State Physics, Lasers and Optics, Nanotechnology |
| ECE133L1 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Dimensioning, CAD Tools |
| ECE134L1 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Electrical Machines, Measuring Instruments |
| ECE135L1 | Programming for Problem Solving | Core | 4 | C Programming Fundamentals, Control Flow, Functions, Arrays and Pointers, File I/O |
| ECE136L1 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Semiconductor Devices, Electrical Circuits, Mechanical Properties |
| ECE137L1 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, AC/DC Measurements, Transformer Characteristics, Motor Control |
| ECE138L1 | Programming for Problem Solving Lab | Lab | 1 | Implementation of C Programs, Debugging Techniques, Algorithm Design and Testing |
| ECE139L1 | Technical English and Communication Skills I | Core | 1 | Grammar and Vocabulary, Reading Comprehension, Listening Skills, Basic Presentation Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE231L1 | Probability and Statistical Methods | Core | 4 | Probability Distributions, Hypothesis Testing, Regression and Correlation, Random Variables, Sampling Theory |
| ECE232L1 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its Control, Water Treatment, Fuels and Combustion, Material Science |
| ECE233L1 | Electronic Devices and Circuits | Core | 4 | Diode Characteristics, BJT and FET Transistors, Amplifier Circuits, Oscillators, Rectifiers and Filters |
| ECE234L1 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| ECE235L1 | Principles of Environmental Science | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Climate Change, Natural Resources Management, Sustainable Development |
| ECE236L1 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Methods of Analysis, Water Quality Testing, Corrosion Experiments |
| ECE237L1 | Electronic Devices and Circuits Lab | Lab | 1 | Diode and Transistor Characteristics, Rectifier and Filter Design, Amplifier Circuits, Oscillator Design |
| ECE238L1 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree and Graph Traversals, Sorting and Searching Algorithms |
| ECE239L1 | Technical English and Communication Skills II | Core | 1 | Advanced Writing Skills, Public Speaking, Group Discussions, Resume Writing, Interview Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE331L1 | Computer Organization and Architecture | Core | 4 | CPU Design, Memory Hierarchy, I/O Organization, Pipelining, Instruction Set Architectures |
| ECE332L1 | Digital Logic Design | Core | 4 | Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits, Finite State Machines, Hardware Description Languages (HDL) |
| ECE333L1 | Signals and Systems | Core | 4 | Signal Classification, System Properties, Fourier Series and Transform, Laplace Transform, Sampling Theorem |
| ECE334L1 | Object-Oriented Programming using Python | Core | 4 | Python Basics, OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling and File I/O |
| ECE335L1 | Digital Logic Design Lab | Lab | 1 | Design of Combinational Circuits, Implementation of Sequential Circuits, FPGA Based Design, Hardware Simulation |
| ECE336L1 | Object-Oriented Programming using Python Lab | Lab | 1 | Python Programming for OOP, Problem Solving using Classes, GUI Development Basics, Database Connectivity |
| ECE337L1 | Constitution of India | Core | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Indian Judiciary, Constitutional Amendments |
| ECE338L1 | Environmental Science and Sustainability | Core | 0 | Environmental Impact Assessment, Pollution Control Technologies, Renewable Energy Sources, Waste Management, Green Technologies |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE431L1 | Analog and Mixed Signal Integrated Circuits | Core | 4 | Operational Amplifiers (Op-Amps), Active Filters, Analog-to-Digital Converters (ADCs), Digital-to-Analog Converters (DACs), Phase-Locked Loops (PLLs), CMOS Analog Circuits |
| ECE432L1 | Microcontrollers and Embedded Systems | Core | 4 | Microcontroller Architecture (8051/ARM), Peripherals and Interfacing, Embedded C Programming, Real-Time Operating Systems (RTOS) Concepts, Memory Organization |
| ECE433L1 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Sorting and Searching Algorithms, Graph Algorithms, Dynamic Programming, Greedy Algorithms, Complexity Classes |
| ECE434L1 | Operating Systems | Core | 4 | Process Management, Memory Management, File Systems, I/O Systems, Concurrency and Deadlocks |
| ECE435L1 | Microcontrollers and Embedded Systems Lab | Lab | 1 | Microcontroller Programming, Sensor Interfacing, Actuator Control, Communication Protocols (UART, SPI, I2C) |
| ECE436L1 | Analog and Mixed Signal Integrated Circuits Lab | Lab | 1 | Op-Amp Circuit Design and Testing, ADC/DAC Implementation, Filter Design, Waveform Generation |
| ECE437L1 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Time Complexity Analysis |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE531L1 | Digital Signal Processing | Core | 4 | Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Z-Transform, FIR Filter Design, IIR Filter Design, DSP Applications |
| ECE532L1 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Network Protocols (HTTP, FTP, DNS), Routing Algorithms, Network Security Basics, Wireless and Mobile Networks |
| ECE533L1 | Automata Theory and Compiler Design | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Lexical Analysis, Parsing Techniques, Intermediate Code Generation |
| ECE5xxE1 | Professional Elective I (Example: VLSI Design) | Elective | 3 | CMOS Technology, IC Fabrication Process, Design Rules and Layout, CMOS Logic Gates, VLSI Testing |
| ECE534L1 | Digital Signal Processing Lab | Lab | 1 | Implementation of DFT/FFT, Filter Design using MATLAB/Python, Audio Signal Processing, Image Processing Basics |
| ECE535L1 | Computer Networks Lab | Lab | 1 | Network Configuration, Protocol Analysis (Wireshark), Client-Server Programming, Socket Programming |
| ECE536L1 | Mini Project | Project | 2 | Project Planning and Management, System Design, Implementation and Testing, Technical Report Writing |
| ECE537L1 | Internship I | Internship | 1 | Industry Exposure, Practical Skill Development, Professional Communication, Teamwork |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE631L1 | Communication Systems | Core | 4 | Analog Modulation Techniques, Digital Modulation Techniques, Noise in Communication Systems, Channel Coding, Multiple Access Techniques |
| ECE632L1 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Neural Networks Basics, Deep Learning Introduction, Model Evaluation and Hyperparameter Tuning |
| ECE6xxE2 | Professional Elective II (Example: Internet of Things) | Elective | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols (MQTT, CoAP), Cloud Platforms for IoT, IoT Security |
| ECE6xxO1 | Open Elective I (Example: Entrepreneurship Development) | Elective | 3 | Concept of Entrepreneurship, Business Plan Development, Market Analysis, Funding Sources, Legal Aspects of Business |
| ECE633L1 | Communication Systems Lab | Lab | 1 | Modulation and Demodulation Circuits, Noise Analysis, Software Defined Radio, Digital Communication Experiments |
| ECE634L1 | Machine Learning Lab | Lab | 1 | Implementation of ML Algorithms (Scikit-learn), Data Preprocessing, Model Training and Testing, Neural Network Implementation (TensorFlow/PyTorch) |
| ECE635L1 | Project Work (Phase I) | Project | 3 | Problem Definition, Literature Survey, Methodology Development, Initial Design and Prototyping |
| ECE636L1 | Internship II | Internship | 1 | Advanced Industry Exposure, Project Participation, Professional Networking, Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE731L1 | Advanced Control Systems | Core | 4 | State-Space Analysis, Nonlinear Control Systems, Optimal Control Theory, Adaptive Control, Digital Control Systems |
| ECE7xxE3 | Professional Elective III (Example: Computer Vision) | Elective | 3 | Image Processing Fundamentals, Feature Extraction, Object Detection, Deep Learning for Vision, Camera Models |
| ECE7xxE4 | Professional Elective IV (Example: Wireless Sensor Networks) | Elective | 3 | Sensor Node Architecture, WSN Communication Protocols, Deployment and Routing, Data Aggregation, Energy Management in WSN |
| ECE7xxO2 | Open Elective II (Example: Financial Management) | Elective | 3 | Financial Markets, Investment Analysis, Budgeting and Forecasting, Risk Management, Corporate Finance |
| ECE732L1 | Project Work (Phase II) | Project | 6 | Detailed System Design, Implementation and Integration, Testing and Validation, Performance Evaluation, Technical Report and Presentation |
| ECE733L1 | Value Added Course I | Skill Enhancement | 1 | Specialized Software Training, Industry-Specific Tools, Certification Preparation, Advanced Techniques |
| ECE734L1 | Value Added Course II | Skill Enhancement | 1 | Emerging Technologies, Advanced Programming Paradigms, Data Analytics Tools, Cloud Computing Basics |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE8xxE5 | Professional Elective V (Example: Quantum Computing) | Elective | 3 | Quantum Bits (Qubits), Superposition and Entanglement, Quantum Gates, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Error Correction |
| ECE831L1 | Major Project | Project | 12 | Comprehensive Project Development, Innovation and Research, Industrial Application, Project Defense, Publication Opportunities |
| ECE832L1 | Internship / Industrial Training | Internship | 4 | In-depth Industry Experience, Advanced Project Contribution, Mentorship and Networking, Career Development |
