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B-TECH in Electronics And Computer Engineering at VELS Institute of Science, Technology & Advanced Studies (VISTAS)

Vels Institute of Science Technology and Advanced Studies (VISTAS) is a premier Deemed University located in Chennai. Established in 1992, VISTAS offers a wide range of programs across diverse disciplines, known for its academic strength and focus on industry-relevant education. It is recognized for its placements and infrastructure.

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Chennai, Tamil Nadu

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About the Specialization

What is Electronics and Computer Engineering at VELS Institute of Science, Technology & Advanced Studies (VISTAS) Chennai?

This B.Tech Electronics and Computer Engineering program at Vels Institute of Science Technology and Advanced Studies (VISTAS) focuses on integrating the principles of electronics with computer science, catering to the evolving demands of intelligent systems. The curriculum emphasizes a blend of hardware design, software development, and data-centric applications, crucial for innovation in areas like IoT, AI, and embedded systems. This interdisciplinary approach makes graduates highly adaptable to diverse roles in the rapidly expanding Indian technology sector.

Who Should Apply?

This program is ideal for high school graduates with a strong foundation in Physics, Chemistry, and Mathematics, eager to delve into the convergence of hardware and software. It attracts students aspiring for careers in product development, automation, and data-driven solutions. Working professionals looking to reskill in areas like embedded AI, IoT, or cloud computing can also benefit, as the curriculum is designed to provide both foundational and advanced knowledge.

Why Choose This Course?

Graduates of this program can expect diverse career paths in India, ranging from embedded systems engineers, IoT developers, and data scientists to full-stack developers and AI/ML engineers. Entry-level salaries typically fall between INR 4-6 LPA, growing significantly with experience (INR 10-20+ LPA for experienced professionals). The program prepares students for roles in core electronics, IT services, product companies, and research, aligning with industry certifications in AI, cloud, and embedded technologies.

Student Success Practices

Foundation Stage

Strengthen Math and Science Fundamentals- (Semester 1-2)

Actively engage with Engineering Mathematics, Physics, and Chemistry courses. Utilize resources like Khan Academy, NPTEL, and standard textbooks to build a strong theoretical base. This foundation is critical for understanding advanced electronic concepts and computational algorithms in later semesters.

Tools & Resources

Khan Academy, NPTEL, Standard Textbooks

Career Connection

A solid theoretical base enhances problem-solving skills, crucial for technical interviews and complex engineering challenges.

Master Basic Programming Logic- (Semester 1-2)

Focus heavily on the ''''Programming for Problem Solving'''' course and its laboratory component. Practice coding daily on platforms like HackerRank and LeetCode (easy problems) to develop logical thinking and problem-solving skills. Early proficiency in C programming is a gateway to understanding data structures and object-oriented concepts.

Tools & Resources

HackerRank, LeetCode, Online C Compilers

Career Connection

Essential for software development roles, data analysis, and embedded systems programming, improving chances for core placements.

Engage in Early Engineering Projects- (Semester 1-2)

Participate in mini-projects or hobby electronics kits to apply theoretical knowledge from Basic Electrical and Electronics Engineering and Workshop Technology. Joining college clubs like robotics or coding groups helps foster practical skills, teamwork, and early exposure to interdisciplinary problem-solving.

Tools & Resources

Arduino Starter Kits, Raspberry Pi, Robotics Clubs

Career Connection

Develops hands-on experience and a project portfolio, which is attractive to recruiters for internship and entry-level positions.

Intermediate Stage

Deep Dive into Core ECE Domains- (Semester 3-5)

Focus on mastering Electronic Devices, Digital Electronics, Data Structures, Algorithms, Microprocessors, and Computer Networks. Supplement classroom learning with practical application by building circuits, programming microcontrollers, and simulating network protocols. Utilize online courses from Coursera/edX or NPTEL for deeper insights.

Tools & Resources

Coursera, edX, NPTEL Courses, Circuit Simulation Software (e.g., LTSpice)

Career Connection

Builds expertise in core ECE areas, making you a strong candidate for specialized roles in electronics, communication, and computer engineering.

Pursue Relevant Internships- (Semester 3-5)

Actively seek internships (even short-term) during summer breaks in areas like embedded systems, web development, data analysis, or circuit design. Gaining practical industry exposure helps bridge the gap between academic knowledge and real-world challenges, making students more employable and clarifying career interests.

Tools & Resources

LinkedIn, Internshala, College Placement Cell

Career Connection

Internships often lead to pre-placement offers, valuable industry contacts, and a practical understanding of corporate environments.

Build a Strong Project Portfolio- (Semester 3-5)

Develop multiple personal projects related to IoT, AI/ML, or embedded systems, showcasing skills learned in data structures, microprocessors, and computer networks. Showcase these projects on platforms like GitHub. Participating in hackathons and coding competitions can further refine skills, provide networking opportunities, and add valuable entries to the portfolio.

Tools & Resources

GitHub, Kaggle, Hackathons (e.g., Smart India Hackathon)

Career Connection

A robust project portfolio distinguishes you from other candidates, demonstrating practical application and passion, which is highly valued by recruiters.

Advanced Stage

Specialize and Certify- (Semester 6-8)

Choose professional electives strategically to specialize in high-demand areas like VLSI Design, AI/ML, Cloud Computing, or Cyber Security. Pursue industry-recognized certifications (e.g., AWS Certified Developer, Google AI Engineer) to validate specialized skills and enhance employability for specific roles in the Indian tech market.

Tools & Resources

AWS Certification, Google Cloud Certifications, NVIDIA Deep Learning Institute

Career Connection

Specialized certifications provide a competitive edge, opening doors to niche roles with higher salary potential in fast-growing tech domains.

Undertake a Capstone Project with Industry Focus- (Semester 7-8)

Engage in a significant final year project that addresses a real-world problem, potentially in collaboration with an industry partner. This showcases problem-solving, design, and implementation skills. Document the project thoroughly and prepare for a compelling presentation, crucial for placements.

Tools & Resources

Industry Mentorship, Project Management Tools (e.g., Jira), Technical Report Writing Guidelines

Career Connection

Demonstrates readiness for industry challenges, often directly leading to job offers or providing strong talking points in interviews.

Prepare Holistically for Placements- (Semester 6-8)

Beyond technical skills, focus on developing strong communication, teamwork, and problem-solving abilities. Practice aptitude tests, mock interviews, and group discussions regularly. Network with alumni and attend career fairs. Tailor your resume and cover letters for specific companies and roles in the Indian job market.

Tools & Resources

Mock Interview Platforms, Aptitude Test Prep Books, Alumni Network

Career Connection

Comprehensive preparation ensures you are well-rounded and confident, significantly increasing your chances of securing desirable placements in top Indian and multinational companies.

Program Structure and Curriculum

Eligibility:

  • 10+2 with Physics, Chemistry, and Mathematics (PCM) with a minimum of 45% aggregate marks from a recognized board.

Duration: 8 semesters / 4 years

Credits: 162 Credits

Assessment: Internal: 40%, External: 60%

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
22HEC101Professional English IOther3Listening Skills, Speaking Skills, Reading Comprehension, Writing Techniques, Grammar and Vocabulary
22BSC102Engineering Mathematics IOther4Matrices and Linear Algebra, Differential Calculus, Functions of Several Variables, Multiple Integrals, Vector Calculus
22BSC103Engineering PhysicsOther3Properties of Matter, Quantum Physics, Laser Technology, Fibre Optics, Crystal Physics
22ESC104Programming for Problem SolvingOther3Introduction to Programming, Control Flow Statements, Functions, Arrays and Pointers, Structures and Unions
22ESC105Engineering GraphicsOther3Plane Curves, Orthographic Projections, Projection of Solids, Section of Solids, Isometric Projections
22BSC1L1Physics and Chemistry LaboratoryLab2Young''''s Modulus Determination, Thermal Conductivity Measurement, Spectrophotometer Applications, Potentiometric Titration, Viscosity of Liquids
22ESC1L2Programming for Problem Solving LabLab2C Programming Basics, Conditional Statements and Loops, Function Implementation, Array and String Operations, Pointer Arithmetic and Structures
22HSC1L3English Language Skills LaboratoryLab1Listening Comprehension, Pronunciation Practice, Group Discussion Techniques, Oral Presentation Skills, Interview Preparation

Semester 2

Subject CodeSubject NameSubject TypeCreditsKey Topics
22HEC201Professional English IIOther3Advanced Reading Strategies, Critical Thinking and Analysis, Report and Proposal Writing, Public Speaking, Interpersonal Skills
22BSC202Engineering Mathematics IIOther4Ordinary Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Boundary Value Problems
22BSC203Engineering ChemistryOther3Water Technology, Electrochemistry, Corrosion and Its Control, Fuel Chemistry, Engineering Materials
22ESC204Basic Electrical and Electronics EngineeringOther3DC Circuit Analysis, AC Circuit Analysis, Semiconductor Devices, Diodes and Their Applications, Transistor Fundamentals
22ESC205Workshop TechnologyOther3Foundry Practices, Welding Techniques, Machining Operations, Sheet Metal Work, Forging and Forming
22BSC2L1Chemistry LaboratoryLab2Water Quality Analysis, Titrimetric Analysis, Conductivity Measurements, pH Measurement Techniques, Corrosion Rate Determination
22ESC2L2Basic Electrical and Electronics Engineering LabLab2Ohm''''s Law and Kirchhoff''''s Laws, Series and Parallel Circuits, Diode Characteristics, Transistor Configurations, Rectifier Circuits
22ESC2L3Workshop PracticalLab1Fitting Operations, Carpentry Joints, Plumbing Techniques, Lathe Machine Operations, Grinding Processes

Semester 3

Subject CodeSubject NameSubject TypeCreditsKey Topics
22BSC301Transforms and Partial Differential EquationsOther4Fourier Transforms, Z-Transforms, Solutions of Partial Differential Equations, Heat Equation, Wave Equation
22ECC302Electronic Devices and CircuitsCore3Diode Characteristics and Circuits, BJT Biasing and Amplifiers, FET Devices, SCR and UJT, Opto-Electronic Devices
22ECC303Digital ElectronicsCore3Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory Devices
22ECC304Data Structures and AlgorithmsCore3Arrays and Pointers, Stacks and Queues, Linked Lists, Trees and Graphs, Sorting and Searching Algorithms
22ECC305Object Oriented ProgrammingCore3Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Exception Handling
22ECC3L1Electronic Devices and Circuits LabLab2Diode Characteristics, Transistor Biasing, Rectifier Circuits, Amplifier Design, Oscillator Circuits
22ECC3L2Digital Electronics LabLab2Logic Gates Implementation, Combinational Circuit Design, Flip-Flops and Latches, Counters and Registers, ADC/DAC Interfacing
22ECC3L3Data Structures and Algorithms LabLab2Array Operations, Stack and Queue Implementation, Linked List Manipulations, Tree Traversal Algorithms, Sorting and Searching Algorithms

Semester 4

Subject CodeSubject NameSubject TypeCreditsKey Topics
22ECC401Control SystemsCore4System Modeling, Block Diagram Reduction, Time Domain Analysis, Frequency Domain Analysis, Stability Analysis
22ECC402Analog and Digital CommunicationCore3Amplitude Modulation, Frequency and Phase Modulation, Pulse Modulation Techniques, Digital Modulation, Noise in Communication Systems
22ECC403Microprocessors and MicrocontrollersCore38085 Microprocessor Architecture, Instruction Set and Addressing Modes, 8051 Microcontroller Architecture, 8051 Programming, Peripheral Interfacing
22ECC404Operating SystemsCore3Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems
22ECC405Software EngineeringCore3Software Process Models, Requirements Engineering, Software Design Principles, Software Testing, Software Project Management
22ECC4L1Analog and Digital Communication LabLab2AM/FM Modulation & Demodulation, Sampling and Reconstruction, Pulse Code Modulation, ASK, FSK, PSK Generation, Spectrum Analysis
22ECC4L2Microprocessors and Microcontrollers LabLab28085 Assembly Language Programming, 8051 Microcontroller Programming, Interfacing with I/O Devices, Timer/Counter Programming, Interrupt Handling
22ECC4L3Operating Systems LabLab2Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Memory Allocation Strategies, File System Operations

Semester 5

Subject CodeSubject NameSubject TypeCreditsKey Topics
22ECC501Computer NetworksCore3Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols
22ECC502Embedded SystemsCore3Introduction to Embedded Systems, Microcontroller Architecture, Real-Time Operating Systems (RTOS), Embedded C Programming, Interfacing Techniques
22ECC503Digital Signal ProcessingCore3Discrete-Time Signals and Systems, Z-Transform, Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Filter Design
22ECEC01Digital Image Processing (Professional Elective I - Example)Elective3Image Fundamentals, Image Enhancement Techniques, Image Restoration, Image Compression, Image Segmentation
22OEGE01Professional Ethics (Open Elective I - Example)Elective3Engineering Ethics, Moral Autonomy, Safety and Risk, Global Issues, Corporate Social Responsibility
22ECC5L1Computer Networks LabLab2Network Configuration, Socket Programming, Routing Protocols Implementation, TCP/UDP Communication, Network Simulation Tools
22ECC5L2Embedded Systems LabLab2Microcontroller Programming, Sensor Interfacing, Actuator Control, RTOS Experiments, IoT Application Development
22EEC5J1Mini Project IProject2Problem Identification, System Design, Implementation and Testing, Documentation, Project Presentation

Semester 6

Subject CodeSubject NameSubject TypeCreditsKey Topics
22ECC601VLSI DesignCore3MOS Transistor Theory, CMOS Logic Gates, VLSI Design Flow, VHDL/Verilog Programming, ASIC and FPGA Architectures
22ECC602Artificial Intelligence and Machine LearningCore3Introduction to AI, Search Algorithms, Supervised Learning, Unsupervised Learning, Neural Networks
22HEC603Professional Ethics and Human ValuesOther3Ethics in Engineering Profession, Moral Values and Responsibility, Environmental Ethics, Global Ethical Issues, Codes of Ethics
22ECEC05Internet of Things (Professional Elective II - Example)Elective3IoT Architecture and Protocols, Sensors and Actuators, IoT Platforms, Data Analytics for IoT, IoT Security and Privacy
22OEDW01Data Warehousing and Data Mining (Open Elective II - Example)Elective3Data Warehousing Concepts, Data Mining Techniques, Association Rule Mining, Classification Algorithms, Clustering Algorithms
22ECC6L1VLSI Design LabLab2CMOS Inverter Design, Logic Gate Implementation in VLSI, RTL Simulation, FPGA Synthesis, Layout Design Tools
22ECC6L2Artificial Intelligence and Machine Learning LabLab2Python for ML, Supervised Learning Models Implementation, Unsupervised Learning Models Implementation, Neural Network Training, Data Preprocessing Techniques
22EEC6J2Mini Project IIProject2Advanced Problem Solving, System Prototype Development, Testing and Validation, Technical Documentation, Project Demonstration

Semester 7

Subject CodeSubject NameSubject TypeCreditsKey Topics
22ECC701Data Science and AnalyticsCore3Data Preprocessing, Exploratory Data Analysis, Statistical Inference, Regression and Classification, Big Data Technologies
22ECEC09Cloud Computing (Professional Elective III - Example)Elective3Cloud Service Models, Deployment Models, Virtualization Technology, Cloud Security, Cloud Computing Platforms (AWS/Azure)
22ECEC13Robotics and Automation (Professional Elective IV - Example)Elective3Robot Kinematics, Robot Dynamics, Trajectory Planning, Robot Sensors and Actuators, Industrial Automation
22OECY01Cyber Security Fundamentals (Open Elective III - Example)Elective3Network Security Concepts, Cryptography, Malware Analysis, Web Application Security, Cyber Forensics
22EEC7P1Project Work – Phase IProject6Problem Definition, Literature Survey, Methodology Design, Data Collection and Analysis, Preliminary Results

Semester 8

Subject CodeSubject NameSubject TypeCreditsKey Topics
22ECEC17Image and Video Analytics (Professional Elective V - Example)Elective3Image Feature Extraction, Object Detection, Image Recognition, Video Processing, Computer Vision Applications
22OECY03Ethical Hacking (Open Elective IV - Example)Elective3Introduction to Ethical Hacking, Footprinting and Reconnaissance, Scanning Networks, System Hacking, Web Server and Application Attacks
22EEC8P2Project Work – Phase IIProject10System Implementation, Testing and Evaluation, Result Analysis and Discussion, Thesis Writing, Project Defense
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