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B-TECH in Electronics Computer Engineering Ecm at Koneru Lakshmaiah Education Foundation (Deemed to be University)
Guntur, Andhra Pradesh
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About the Specialization
What is Electronics & Computer Engineering (ECM) at Koneru Lakshmaiah Education Foundation (Deemed to be University) Guntur?
This Electronics & Computer Engineering (ECM) program at Koneru Lakshmaiah Education Foundation focuses on integrating hardware design, embedded systems, and software development, addressing the critical demand for engineers proficient in both electronics and computer science. It specifically emphasizes areas like IoT, VLSI, AI/ML hardware, and smart devices, which are driving innovation in the Indian industrial landscape. The program offers a unique blend of core electronics with advanced computing paradigms.
Who Should Apply?
This program is ideal for 10+2 graduates with a strong foundation in Physics, Chemistry, and Mathematics who are passionate about building intelligent electronic systems. It caters to aspiring engineers seeking careers in product development, R&D, and IT infrastructure. It also suits individuals keen on working at the intersection of hardware and software, and those looking to contribute to India''''s burgeoning embedded systems and semiconductor industries.
Why Choose This Course?
Graduates of this program can expect diverse career paths such as Embedded Systems Engineer, IoT Developer, VLSI Design Engineer, Firmware Engineer, and AI/ML Engineer focusing on hardware acceleration. Entry-level salaries in India typically range from INR 4-8 LPA, with experienced professionals earning upwards of INR 10-25+ LPA. The growth trajectories are robust in sectors like automotive, consumer electronics, defense, and telecommunications, often leading to leadership roles in product innovation.
Student Success Practices
Foundation Stage
Master Core Engineering Fundamentals- (Semester 1-2)
Dedicate significant time to building a strong foundation in Calculus, Linear Algebra, Physics, and C Programming. Utilize online platforms like NPTEL, Khan Academy, and GeeksforGeeks for supplementary learning and problem-solving practice to solidify basic concepts essential for advanced courses.
Tools & Resources
NPTEL, Khan Academy, GeeksforGeeks, Local study groups
Career Connection
A robust foundation ensures easier comprehension of complex topics in later semesters, which is crucial for cracking technical interviews and excelling in core engineering roles.
Develop Early Hands-on Programming Skills- (Semester 1-2)
Actively participate in C Programming and Data Structures labs. Beyond lab assignments, practice competitive programming on platforms like CodeChef or HackerRank to improve logical thinking and problem-solving abilities. Start exploring basic Python for future AI/ML applications.
Tools & Resources
CodeChef, HackerRank, LeetCode (easy problems), Python for Everybody (Coursera)
Career Connection
Strong programming skills are non-negotiable for placements in both software and embedded systems roles, directly impacting your ability to pass coding rounds.
Engage in Technical Clubs and Workshops- (Semester 1-2)
Join relevant student technical clubs like Electronics Club or Robotics Club. Participate in introductory workshops on Arduino, Raspberry Pi, or basic circuit design. This fosters peer learning, introduces practical application, and develops early project experience.
Tools & Resources
College Technical Clubs, Online DIY project tutorials (Instructables), Electronics component kits
Career Connection
Early exposure to practical projects and teamwork enhances your resume and provides talking points during internships and placement interviews.
Intermediate Stage
Focus on Practical Application with Mini-Projects- (Semester 3-5)
Apply theoretical knowledge from courses like Digital Logic Design, Microcontrollers, and Embedded Systems by building small-scale projects. Utilize platforms like Tinkercad for simulations and progress to physical prototypes using Arduino, ESP32, or ARM boards to demonstrate capabilities.
Tools & Resources
Arduino IDE, Tinkercad, Proteus (simulation), KiCad (schematic/PCB design)
Career Connection
Showcasing functional projects during internships and interviews proves your practical understanding and problem-solving aptitude, making you a desirable candidate for embedded roles.
Build a Strong Digital Portfolio and Network- (Semester 3-5)
Create a LinkedIn profile and actively connect with faculty, seniors, and industry professionals. Document your projects on GitHub, write technical blogs, or participate in hackathons. Attend webinars and virtual industry talks to stay updated and build your professional network.
Tools & Resources
LinkedIn, GitHub, Medium/Hashnode (blogging), Meetup (virtual tech events)
Career Connection
A strong online presence and network can open doors to internship opportunities, mentorship, and direct referrals for job placements in relevant industries.
Explore Specialization-Specific Skills- (Semester 3-5)
Start delving deeper into either hardware (VLSI design, PCB design) or software (RTOS, advanced data structures, basic AI/ML frameworks). Complete online courses from platforms like Coursera or Udemy specific to your interest area to gain specialized knowledge and practical skills.
Tools & Resources
Coursera (VLSI, RTOS courses), Udemy (Machine Learning, IoT courses), NPTEL advanced modules
Career Connection
Developing specialized skills early helps in identifying your niche, making you a competitive candidate for targeted roles and advanced project work.
Advanced Stage
Secure and Excel in Industry Internships- (Semester 6-7)
Actively seek and complete internships (minimum 2-3 months) in companies focusing on embedded systems, IoT, VLSI, or AI hardware. Focus on contributing meaningfully to projects, learning industry workflows, and building professional relationships. This is crucial for pre-placement offers.
Tools & Resources
Company career portals, Internshala, LinkedIn Jobs, College placement cell
Career Connection
Internships are often direct pathways to full-time employment, offering invaluable industry experience and a chance to convert into a PPO, significantly boosting placement prospects.
Undertake a Comprehensive Capstone Project- (Semester 6-8)
Collaborate with peers or faculty on a substantial capstone project that addresses a real-world problem using ECM concepts (e.g., an AI-powered IoT device, a custom embedded system, a VLSI design). Focus on complete design, implementation, and rigorous testing, aiming for innovation or significant improvement.
Tools & Resources
Advanced microcontrollers/SBCs, FPGA development kits, TensorFlow Lite, Industry simulation tools
Career Connection
A well-executed capstone project demonstrates your ability to integrate knowledge, solve complex problems, and deliver a complete solution, standing out in technical interviews and portfolio reviews.
Intensive Placement Preparation and Skill Refinement- (Semester 7-8)
Beyond technical skills, focus on developing strong communication, teamwork, and problem-solving abilities. Practice aptitude tests, participate in mock interviews, and refine your resume and soft skills. Prepare for competitive exams like GATE if aiming for higher studies or PSUs.
Tools & Resources
Online aptitude platforms, InterviewBit, Glassdoor (interview experiences), GATE exam resources
Career Connection
Holistic preparation ensures you are not only technically competent but also ready to ace the entire recruitment process, maximizing your chances of securing desired job offers or admissions.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Mathematics, and Chemistry/Biotechnology/Biology/Technical Vocational as optional subjects, with a minimum of 45% aggregate marks in these subjects.
Duration: 4 years (8 semesters)
Credits: 160 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA1101 | Linear Algebra and Differential Equations | Core | 4 | Matrices and System of Linear Equations, Eigenvalues and Eigenvectors, Ordinary Differential Equations, Partial Differential Equations, Vector Calculus |
| 23CH1001 | Chemistry for Engineers | Core | 3 | Electrochemistry and Batteries, Corrosion and its Control, Polymer Chemistry, Water Technology, Spectroscopic Techniques |
| 23EC1001 | Basic Electrical and Electronics Engineering | Core | 3 | DC and AC Circuits, Single Phase and Three Phase Systems, Semiconductor Diodes and Rectifiers, Bipolar Junction Transistors, Operational Amplifiers |
| 23ME1001 | Engineering Graphics and Design | Core | 3 | Engineering Drawing Fundamentals, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD |
| 23CS1001 | C Programming | Core | 3 | C Language Fundamentals, Control Flow Statements, Functions and Recursion, Arrays and Pointers, Structures and Unions |
| 23HS1001 | English for Communication | Core | 2 | Listening and Speaking Skills, Reading Comprehension, Writing Skills (Paragraph, Essay), Vocabulary and Grammar, Presentation Skills |
| 23EC1101 | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Verification of Circuit Laws, PN Junction Diode Characteristics, Rectifier Circuits, Transistor Biasing, OP-AMP Applications |
| 23CS1101 | C Programming Lab | Lab | 1 | Basic C Program Implementation, Conditional and Loop Structures, Array and String Operations, Function Calls and Pointers, File Handling in C |
| 23CH1101 | Chemistry for Engineers Lab | Lab | 1 | Water Quality Analysis, Synthesis of Polymers, Conductometric Titrations, pH Metry, Colorimetric Analysis |
| 23HS1101 | English for Communication Lab | Lab | 1 | Group Discussions, Public Speaking, Role-Plays, Presentations, Interview Skills Practice |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA1102 | Multivariable Calculus and Transforms | Core | 4 | Partial Differentiation, Multiple Integrals, Vector Calculus, Laplace Transforms, Fourier Series and Transforms |
| 23PH1001 | Applied Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Semiconductor Physics, Lasers and Fiber Optics, Nanomaterials |
| 23ES1001 | Environmental Science and Engineering | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Climate Change, Sustainable Development |
| 23EC1002 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and PLDs |
| 23CS1002 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| 23HS1002 | Professional English | Core | 2 | Technical Report Writing, Business Correspondence, Resume and Cover Letter Writing, Interview Skills, Group Communication |
| 23PH1101 | Applied Physics Lab | Lab | 1 | Verification of Optical Fiber Characteristics, Laser Diffraction Studies, Hall Effect Measurement, Energy Band Gap of Semiconductor, Photoelectric Effect |
| 23CS1102 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Binary Tree Traversal, Graph Algorithms, Sorting and Searching Practice |
| 23EC1102 | Digital Logic Design Lab | Lab | 1 | Verification of Logic Gates, Design of Combinational Circuits, Implementation of Flip-Flops, Design of Counters, Multiplexers and Demultiplexers |
| 23ES1101 | Environmental Science and Engineering Lab | Lab | 1 | Water Sample Analysis, Air Quality Monitoring, Soil Testing, Noise Pollution Measurement, Solid Waste Characterization |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA2101 | Probability and Statistical Methods | Core | 4 | Probability Theory, Random Variables and Distributions, Joint Probability Distributions, Hypothesis Testing, Regression and Correlation |
| 23EC2001 | Network Analysis | Core | 3 | Network Theorems, Transient Analysis of Circuits, Two-Port Network Parameters, Filters and Attenuators, Resonance in AC Circuits |
| 23EC2002 | Electronic Devices and Circuits | Core | 3 | Diode Applications, BJT Characteristics and Biasing, FET Characteristics and Biasing, Amplifier Circuits, Feedback Amplifiers and Oscillators |
| 23EC2003 | Signals and Systems | Core | 3 | Classification of Signals and Systems, Linear Time-Invariant Systems, Fourier Series and Fourier Transform, Laplace Transform, Z-Transform |
| 23CS2001 | Object Oriented Programming | Core | 3 | Classes and Objects, Constructors and Destructors, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling |
| 23ES2001 | Constitution of India | Skill Oriented | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Legislature, Indian Judiciary, Constitutional Amendments |
| 23EC2101 | Electronic Devices and Circuits Lab | Lab | 1 | BJT and FET Amplifier Design, Op-Amp Characteristics, Rectifier with Filter Circuits, Voltage Regulators, Oscillator Circuits |
| 23CS2101 | Object Oriented Programming Lab | Lab | 1 | Implementation of Classes and Objects, Method Overloading and Overriding, Inheritance Applications, Polymorphism Concepts, File Operations in OOP |
| 23EC2102 | Signals and Systems Lab | Lab | 1 | Generation of Standard Signals, Convolution and Correlation, DFT and FFT, Sampling and Reconstruction, Filter Design using MATLAB/Python |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA2102 | Discrete Mathematics | Core | 3 | Set Theory and Relations, Functions and Recurrence Relations, Graph Theory, Combinatorics, Mathematical Logic |
| 23EC2004 | Analog and Digital Communications | Core | 3 | Amplitude Modulation, Angle Modulation (FM, PM), Pulse Modulation Techniques, Digital Modulation (ASK, FSK, PSK), Noise in Communication Systems |
| 23EC2005 | Microcontrollers and Microprocessors | Core | 3 | 8086 Microprocessor Architecture, 8051 Microcontroller Architecture, Instruction Set and Addressing Modes, Memory and I/O Interfacing, Interrupts and Timers |
| 23CS2002 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, CPU Organization, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| 23CS2003 | Operating Systems | Core | 3 | Process Management and Scheduling, Memory Management, File Systems, Deadlocks, I/O Systems |
| 23HS2001 | Universal Human Values | Skill Oriented | 0 | Understanding Harmony in Self, Harmony in Family and Society, Harmony in Nature and Existence, Ethical Human Conduct, Professional Ethics |
| 23EC2103 | Microcontrollers and Microprocessors Lab | Lab | 1 | 8051/ARM Assembly Programming, Interfacing with Peripherals, Timer and Interrupt Programming, Serial Communication, Motor Control Applications |
| 23EC2104 | Analog and Digital Communications Lab | Lab | 1 | AM/FM Modulation and Demodulation, Sampling and Reconstruction, ASK/FSK/PSK Modulation, Time Division Multiplexing, Noise Measurement |
| 23CS2102 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management, CPU Scheduling Algorithms, Memory Allocation Strategies, File Management Commands |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC3001 | VLSI Design | Core | 3 | CMOS Technology and Inverters, CMOS Logic Gates, VLSI Design Flow, FPGA Architectures, Design for Testability |
| 23EC3002 | Computer Networks | Core | 3 | OSI and TCP/IP Model, Network Topologies, Data Link Layer Protocols, Routing Protocols, Transport Layer and Application Layer |
| 23EC3003 | Embedded Systems | Core | 3 | Embedded System Architecture, Real-Time Operating Systems (RTOS), Embedded Communication Protocols, Device Drivers, Debugging and Testing |
| 23CS3001 | Artificial Intelligence | Core | 3 | Introduction to AI, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Neural Networks Basics |
| 23EC3004 | Digital Signal Processing | Core | 3 | Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), FIR Filter Design, IIR Filter Design, Multirate Signal Processing |
| 23XXXX | Open Elective - I | Open Elective | 3 | |
| 23EC3101 | VLSI Design Lab | Lab | 1 | CMOS Inverter Simulation, Logic Gate Design using EDA Tools, FPGA Programming with Verilog/VHDL, Physical Design Concepts, Synthesis and Implementation |
| 23EC3102 | Embedded Systems Lab | Lab | 1 | ARM Microcontroller Programming, Sensor Interfacing, RTOS Implementation, Communication Protocols (SPI, I2C), IoT Application Development |
| 23EC3103 | Digital Signal Processing Lab | Lab | 1 | DFT and FFT Implementation, FIR/IIR Filter Design in MATLAB, Audio Signal Processing, Image Processing Basics, Real-Time DSP Applications |
| 23HS3001 | Entrepreneurship and Startups | Skill Oriented | 0 | Idea Generation and Validation, Business Model Canvas, Startup Funding, Marketing Strategies for Startups, Legal and Ethical Aspects of Entrepreneurship |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC3005 | Internet of Things (IoT) | Core | 3 | IoT Architecture and Paradigms, Sensors, Actuators, and Microcontrollers for IoT, IoT Communication Protocols (MQTT, CoAP), Cloud Platforms for IoT, IoT Security and Privacy |
| 23EC3006 | Machine Learning for Embedded Systems | Core | 3 | Introduction to Machine Learning, Supervised and Unsupervised Learning, TinyML Concepts, Model Quantization and Optimization, Deployment on Edge Devices |
| 23EC3007 | Research Methodology and IPR | Core | 2 | Research Problem Formulation, Research Design and Methods, Data Collection and Analysis, Technical Report Writing, Intellectual Property Rights (IPR) |
| 23XXXX | Program Elective - I | Program Elective | 3 | |
| 23XXXX | Open Elective - II | Open Elective | 3 | |
| 23XXXX | Skill Elective - I | Skill Elective | 3 | |
| 23EC3104 | IoT Lab | Lab | 1 | IoT Device Programming (Arduino/ESP32), Sensor Data Acquisition and Cloud Integration, MQTT/CoAP Protocol Implementation, IoT Security Practices, Smart Home/City Applications |
| 23EC3105 | Machine Learning for Embedded Systems Lab | Lab | 1 | Training ML Models for Embedded Platforms, Speech Recognition on Edge Devices, Image Classification on Microcontrollers, Optimization Techniques for TinyML, Deployment of ML Models |
| 23EC3901 | Project Phase I | Project | 2 | Problem Identification, Literature Review, Methodology Development, Initial Design and Planning, Report Writing |
| 23HS3002 | Professional Ethics & Human Values | Skill Oriented | 0 | Ethical Theories and Principles, Professionalism and Codes of Conduct, Cyber Ethics and Data Privacy, Corporate Social Responsibility, Environmental Ethics |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EC4001 | High-Performance Computing for Embedded Systems | Core | 3 | Parallel Computing Architectures, GPU Programming for Embedded Systems, Multicore Processor Optimization, Memory Hierarchies and Caching, Hardware Accelerators |
| 23EC4002 | Advanced Computer Architecture | Core | 3 | Instruction Level Parallelism, Memory Hierarchy and Cache Coherence, Vector and Array Processors, Multiprocessors and Thread-Level Parallelism, Interconnection Networks |
| 23XXXX | Program Elective - II | Program Elective | 3 | |
| 23XXXX | Open Elective - III | Open Elective | 3 | |
| 23EC4901 | Project Phase II | Project | 6 | System Design and Implementation, Module Integration and Testing, Performance Evaluation, Interim Report and Presentation, Troubleshooting and Optimization |
| 23EN4001 | Industry Internship/Mini Project | Project | 3 | Real-World Problem Solving, Industry Best Practices, Professional Communication, Project Documentation, Teamwork and Collaboration |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23XXXX | Program Elective - III | Program Elective | 3 | |
| 23XXXX | Open Elective - IV | Open Elective | 3 | |
| 23EC4902 | Project Phase III | Project | 8 | Advanced System Development, Validation and Verification, Final Product Testing, Comprehensive Documentation, Oral Defense and Demonstration |
| 23EN4002 | Comprehensive Viva Voce | Comprehensive | 2 | Overall Subject Knowledge, Problem-Solving Abilities, Communication Skills, Critical Thinking, Application of Concepts |
