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B-TECH in Electronics And Computer Engineering at University of Petroleum and Energy Studies
Dehradun, Uttarakhand
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About the Specialization
What is Electronics and Computer Engineering at University of Petroleum and Energy Studies Dehradun?
This Electronics and Computer Engineering program at University of Petroleum and Energy Studies focuses on the convergence of hardware and software, integrating principles of electronics, communication, and computer science. It addresses the growing need in the Indian industry for professionals adept at designing intelligent systems, embedded solutions, and IoT applications. The program distinguishes itself through a balanced curriculum emphasizing both foundational electronics and advanced computing concepts, making graduates versatile for India''''s rapidly evolving tech landscape.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics, physics, and programming, seeking entry into core engineering domains. It also caters to working professionals from related fields who wish to upskill in cutting-edge areas like IoT, embedded systems, or AI for hardware. Career changers looking to transition into product development, smart manufacturing, or advanced electronics design will find this specialization particularly beneficial, provided they possess a foundational science background.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career paths in India, including roles such as Embedded Systems Engineer, IoT Solutions Architect, VLSI Design Engineer, Firmware Developer, and Robotics Engineer. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals potentially earning INR 15-30+ LPA in top-tier Indian companies and MNCs. The program also aligns with certifications in embedded systems, cloud computing, and AI, fostering strong growth trajectories in India''''s digital transformation journey.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Focus on C/C++ in Semesters 1-2. Participate regularly in competitive programming contests on platforms like HackerRank, CodeChef, and LeetCode. This strengthens logical thinking, problem-solving, and efficient algorithm design crucial for both software and hardware-centric roles. Connecting with peers and learning debugging techniques is also vital.
Tools & Resources
HackerRank, CodeChef, LeetCode, GeeksforGeeks
Career Connection
Strong programming skills are foundational for all engineering roles and directly enhance performance in technical interviews for placements.
Build a Strong Mathematical and Scientific Base- (Semester 1-2)
Dedicate extra effort to Calculus, Linear Algebra, Engineering Physics, and Chemistry. Utilize online resources like Khan Academy, NPTEL lectures, and standard textbooks. A solid foundation in these subjects is critical for understanding advanced concepts in electronics, signal processing, and AI, providing a distinct advantage in advanced coursework and research.
Tools & Resources
NPTEL Lectures, Khan Academy, Standard Textbooks
Career Connection
Fundamental theoretical knowledge is essential for innovation and problem-solving in core engineering and research roles.
Engage in Basic Project-Based Learning- (Semester 1-2)
Even with fundamental skills, try building simple projects using development boards like Arduino or Raspberry Pi. This helps in understanding the practical application of basic electronics and programming. Websites like Instructables and GitHub provide project ideas and code examples, fostering early practical skill building and enthusiasm for engineering.
Tools & Resources
Arduino, Raspberry Pi, Instructables, GitHub
Career Connection
Early hands-on experience builds confidence and a practical understanding of engineering concepts, crucial for internships and project-based roles.
Intermediate Stage
Hands-on Embedded Systems and VLSI Exposure- (Semester 3-5)
Actively seek out opportunities to work with microprocessors, microcontrollers (like ARM), and VLSI design tools (VHDL/Verilog) in labs or personal projects. Platforms like Tinkercad, Proteus, and actual development kits are crucial. This practical experience is highly valued for embedded systems and chip design roles in companies like Texas Instruments or Intel India.
Tools & Resources
ARM Development Boards, Tinkercad, Proteus, Xilinx ISE/Vivado
Career Connection
Directly prepares students for specialized roles in hardware design, firmware development, and IoT solutions.
Develop Strong Data Structures and Algorithm Skills- (Semester 3-5)
Beyond coursework, practice advanced DSA regularly on platforms like InterviewBit and GeeksforGeeks. This is a non-negotiable skill for high-paying software engineering roles, even in electronics-focused companies, and is fundamental for optimizing code in embedded systems. Join coding clubs and participate in hackathons.
Tools & Resources
InterviewBit, GeeksforGeeks, Coding Clubs
Career Connection
Critical for passing technical interviews for software development and performance-sensitive embedded programming positions.
Network with Industry Professionals and Alumni- (Semester 3-5)
Attend industry workshops, tech talks, and departmental seminars. Connect with alumni on LinkedIn who are working in relevant fields (e.g., IoT, Automotive Electronics, AI/ML). Seek mentorship, gain insights into industry trends, and explore internship opportunities. This helps in building a professional network for future placements and collaborations.
Tools & Resources
LinkedIn, Industry Conferences, Departmental Seminars
Career Connection
Expands career opportunities through referrals, mentorship, and deeper understanding of industry expectations.
Advanced Stage
Specialized Project Development and Portfolio Building- (Semester 6-8)
Undertake complex projects in areas of specialization such as AI/ML for IoT, advanced embedded systems, or VLSI design, showcasing deep understanding and problem-solving abilities. Collaborate with faculty on research papers or capstone projects that have real-world applications. A strong project portfolio is key for securing desirable placements and demonstrating advanced skill sets.
Tools & Resources
TensorFlow/PyTorch, KiCad/Altium Designer, Research Labs
Career Connection
Differentiates candidates, provides concrete examples of applied skills, and often leads directly to job offers.
Intensive Placement and Interview Preparation- (Semester 6-8)
Focus on mock interviews, technical rounds, and HR interviews. Revise core computer science (DSA, OS, DBMS, Networks) and electronics engineering concepts. Utilize platforms like LeetCode Premium, Glassdoor, and specific company interview preparation guides. Attend workshops organized by the career services department and participate in campus recruitment drives.
Tools & Resources
LeetCode Premium, Glassdoor, Mock Interview Platforms, UPES Career Services
Career Connection
Directly impacts success in securing high-quality job offers from top companies.
Continuous Learning and Certification- (Semester 6-8)
Stay updated with emerging technologies like Edge Computing, Quantum Computing, or advanced AI/ML frameworks. Pursue relevant online certifications from platforms like Coursera, edX, or NPTEL in areas like IoT security, advanced VLSI, or full-stack development. This demonstrates proactive learning and enhances employability in a rapidly changing tech landscape.
Tools & Resources
Coursera, edX, NPTEL, Udemy
Career Connection
Keeps skills current, opens doors to niche roles, and demonstrates a commitment to lifelong professional development.
Program Structure and Curriculum
Eligibility:
- Minimum 50% marks in Class 10th & 12th. Minimum 50% aggregate in Physics, Chemistry, Mathematics (PCM) in Class 12th.
Duration: 8 semesters/ 4 years
Credits: 160 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UECD1001 | Academic Writing and Critical Thinking | Core | 2 | Academic writing principles, Argumentative writing, Critical analysis, Logical reasoning, Effective communication |
| UENG1001 | Communication Skills | Core | 2 | Public speaking, Presentation skills, Group discussions, Listening skills, Professional communication |
| UCSE1001 | Programming for Problem Solving | Core | 3 | C programming basics, Conditional statements and loops, Arrays and strings, Functions and pointers, File handling |
| UCSE1002 | Programming for Problem Solving Lab | Lab | 1 | C programming practicals, Debugging techniques, Algorithm implementation, Problem-solving exercises, Data manipulation |
| UMAT1001 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Linear Transformations |
| UPHY1001 | Engineering Physics | Core | 4 | Quantum mechanics, Solid State Physics, Electromagnetism, Wave Optics, Modern Physics |
| UPHY1002 | Engineering Physics Lab | Lab | 1 | Experiments on optics, Electrical measurements, Semiconductor characteristics, Magnetic properties, Wave phenomena |
| UCSC1001 | Computer Aided Design | Core | 2 | Introduction to CAD software, 2D drafting and drawing, 3D modeling techniques, Assembly design, Engineering drawing standards |
| UCSC1002 | Workshop Practice | Lab | 1 | Basic workshop tools, Carpentry and fitting, Welding processes, Machining operations, Sheet metal work |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UECD1002 | Introduction to Design Thinking | Core | 2 | Design thinking process, Empathize and Define, Ideation techniques, Prototyping and Testing, User-centered design |
| UCSE1003 | Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| UCSE1004 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of data structures, Algorithm analysis, Practical problem-solving, Abstract data types, Time and space complexity |
| UCHE1001 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its control, Polymer chemistry, Water treatment, Material Science |
| UCHE1002 | Engineering Chemistry Lab | Lab | 1 | Quantitative analysis, Synthesis of organic compounds, Physical chemistry experiments, Water quality testing, Corrosion rate determination |
| UMAT1002 | Probability and Statistics | Core | 4 | Probability theory, Random variables, Probability distributions, Hypothesis testing, Regression and Correlation |
| UCSC1003 | Basic Electrical and Electronics Engineering | Core | 3 | DC and AC circuits, Semiconductor devices (Diodes, BJTs), Operational Amplifiers, Digital Logic Gates, Transformers and Motors |
| UCSC1004 | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Verification of circuit laws, Diode characteristics, Transistor biasing, Op-amp applications, Basic digital circuits |
| UCSE1005 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory elements |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCSE2001 | Object-Oriented Programming | Core | 3 | OOP concepts (Classes, Objects), Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, Java/C++ fundamentals |
| UCSE2002 | Object-Oriented Programming Lab | Lab | 1 | OOP practical implementation, GUI programming, Data abstraction techniques, Object-oriented design patterns, Debugging OOP programs |
| UMAT2001 | Discrete Mathematics | Core | 4 | Set theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| UCSC2001 | Computer Organization and Architecture | Core | 3 | CPU organization, Memory hierarchy, Input/Output organization, Instruction sets, Pipelining and Parallelism |
| UECE2001 | Analog Electronics | Core | 3 | PN junction diodes, Bipolar Junction Transistors (BJTs), Field Effect Transistors (FETs), Amplifier circuits, Operational Amplifiers |
| UECE2002 | Analog Electronics Lab | Lab | 1 | Diode and Zener characteristics, Transistor biasing circuits, Amplifier frequency response, Op-amp configurations, Oscillator design |
| UECE2003 | Digital Signal Processing | Core | 3 | Discrete-time signals and systems, Z-transform, Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), FIR and IIR filter design |
| UECE2004 | Digital Signal Processing Lab | Lab | 1 | Signal generation in MATLAB/Python, DFT and FFT computation, Filter design and implementation, Audio signal processing, Image processing fundamentals |
| UGENxxxx | Generic Elective 1 | Elective | 2 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCSE2003 | Operating Systems | Core | 3 | Process management, CPU scheduling, Memory management, File systems, I/O systems |
| UCSE2004 | Operating Systems Lab | Lab | 1 | Shell scripting, Process creation and synchronization, Memory allocation strategies, System calls programming, Thread management |
| UCSE2005 | Database Management Systems | Core | 3 | ER model and Relational model, Relational Algebra and Calculus, SQL queries and constraints, Normalization, Transaction management |
| UCSE2006 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML commands, Database design and implementation, Normalization practices, Stored procedures and triggers, Database connectivity |
| UECE2005 | Microprocessors and Microcontrollers | Core | 3 | 8085/8086 architecture, Instruction set and addressing modes, Assembly language programming, Memory and I/O interfacing, Microcontroller basics |
| UECE2006 | Microprocessors and Microcontrollers Lab | Lab | 1 | Assembly language programming exercises, Interfacing peripheral devices, Timer and interrupt programming, Serial communication, Embedded system applications |
| UECE2007 | Signals and Systems | Core | 4 | Continuous and discrete-time signals, Linear Time-Invariant (LTI) systems, Fourier Series and Transform, Laplace Transform, Sampling theorem |
| UECE2008 | Electromagnetic Field Theory | Core | 4 | Vector calculus, Electrostatics, Magnetostatics, Maxwell''''s Equations, Electromagnetic waves |
| UGENxxxx | Generic Elective 2 | Elective | 2 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCSE3001 | Computer Networks | Core | 3 | OSI and TCP/IP models, Network topologies and devices, Routing protocols, Transport layer protocols, Application layer protocols |
| UCSE3002 | Computer Networks Lab | Lab | 1 | Network configuration, Packet analysis with Wireshark, Socket programming, Network security tools, Protocol simulation |
| UCSE3003 | Software Engineering | Core | 3 | Software Development Life Cycle (SDLC), Requirements engineering, Software design principles, Software testing techniques, Project management |
| UCSE3004 | Artificial Intelligence | Core | 3 | Problem-solving agents, Search algorithms (DFS, BFS, A*), Knowledge representation, Machine learning basics, Natural Language Processing (NLP) |
| UECE3001 | Embedded System Design | Core | 3 | Embedded processors and microcontrollers, Sensors and Actuators, Real-time Operating Systems (RTOS), Embedded programming (C/C++), IoT applications |
| UECE3002 | Embedded System Design Lab | Lab | 1 | Embedded C programming, Microcontroller interfacing, Sensor data acquisition, Actuator control, Real-time system implementation |
| UECE3003 | VLSI Design | Core | 3 | CMOS technology and fabrication, MOSFET characteristics, Digital circuit design, VHDL/Verilog programming, FPGA architectures |
| UECE3004 | VLSI Design Lab | Lab | 1 | CMOS inverter design, Logic gate implementation in CAD tools, VHDL/Verilog coding for circuits, FPGA synthesis and simulation, Timing analysis |
| UCSCxxxx | Open Elective 1 | Elective | 2 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UECE3005 | Communication Systems | Core | 4 | Analog modulation techniques, Digital modulation techniques, Noise in communication systems, Multiplexing (TDM, FDM, CDM), Spread Spectrum techniques |
| UECE3006 | Industrial Internet of Things | Core | 3 | IIoT architecture and layers, Sensors and actuators for IIoT, Communication protocols (MQTT, CoAP), Cloud platforms for IIoT, Data analytics for industrial applications |
| UECE3007 | Industrial Internet of Things Lab | Lab | 1 | IoT device prototyping, Sensor integration and data collection, Cloud connectivity and data storage, IoT dashboard development, Basic IIoT security |
| UECE3008 | Digital Image Processing | Core | 3 | Image fundamentals and representation, Image enhancement techniques, Image restoration, Image segmentation, Image compression |
| UECE3009 | Digital Image Processing Lab | Lab | 1 | Image manipulation in MATLAB/Python, Spatial filtering, Frequency domain processing, Edge detection, Feature extraction |
| UECE3010 | Advanced Digital Design | Elective | 3 | FPGAs and ASICs, Hardware Description Languages (HDL), Logic synthesis, Design verification, Low-power design techniques |
| UECE3011 | Introduction to IoT Analytics | Elective | 3 | IoT data collection and preprocessing, Machine learning for IoT, Cloud computing for IoT analytics, Edge analytics, Time series analysis for IoT data |
| UECE3012 | Advanced Microprocessors and Microcontrollers | Elective | 3 | ARM Cortex architecture, PIC microcontrollers, Real-time operating systems (RTOS), Device drivers, Memory management in embedded systems |
| UCSCxxxx | Open Elective 2 | Elective | 2 | |
| UECE3016 | Capstone Project - Part 1 | Project | 2 | Project proposal and planning, Literature survey, Problem definition and scope, Preliminary design and architecture, Methodology selection |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UECE4001 | Machine Learning for Electronics Engineers | Core | 3 | Supervised and Unsupervised Learning, Deep learning fundamentals, Neural Networks and CNNs, Regression and Classification algorithms, Applications in signal and image processing |
| UECE4002 | Machine Learning for Electronics Engineers Lab | Lab | 1 | Python for ML (Scikit-learn), TensorFlow/PyTorch basics, Image classification tasks, Data preprocessing and feature engineering, Model evaluation |
| UECE4003 | Real Time Operating Systems | Elective | 3 | RTOS concepts and architecture, Task scheduling algorithms, Inter-task communication, Memory management in RTOS, Synchronization primitives |
| UECE4004 | Advanced Digital Signal Processing | Elective | 3 | Adaptive filters, Wavelet transforms, Multirate signal processing, Speech processing, Audio processing |
| UECE4005 | RF and Microwave Engineering | Elective | 3 | Transmission lines, Waveguides and resonators, S-parameters, RF components (amplifiers, filters), Antenna theory and design |
| UECE4006 | Advanced Computer Architecture | Elective | 3 | Parallel processing architectures, Superscalar and vector processors, Memory hierarchy and cache coherence, Multiprocessors and multicore systems, GPU architectures |
| UECE4007 | Cryptography and Network Security | Elective | 3 | Symmetric and asymmetric encryption, Hashing and digital signatures, Key management, Firewalls and Intrusion Detection Systems, Network security protocols (SSL/TLS, IPSec) |
| UECE4008 | Optoelectronics and Photonics | Elective | 3 | Optical fibers and waveguides, Lasers and LEDs, Photodetectors, Optical modulators, Optical communication systems |
| UCSCxxxx | Open Elective 3 | Elective | 2 | |
| UECE4009 | Industrial Training/Internship | Project | 6 | Practical industry experience, Application of theoretical knowledge, Project implementation in a real-world setting, Professional skill development, Industry problem-solving |
| UECE4010 | Capstone Project - Part 2 | Project | 3 | Project development and implementation, Testing and debugging, Documentation and report writing, Presentation of results, Refinement and optimization |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UECE4011 | Data Communication and Networks | Elective | 3 | Network topologies and standards, Data link control protocols, Error detection and correction, Flow control mechanisms, Wireless networks |
| UECE4012 | IoT Security and Privacy | Elective | 3 | IoT attack surfaces and vulnerabilities, Security protocols for IoT (CoAP, MQTT-SN), Privacy concerns in IoT, Blockchain for IoT security, Secure device provisioning |
| UECE4013 | Cyber Physical Systems | Elective | 3 | CPS architecture and components, Control theory for CPS, Real-time and embedded systems, Sensor networks and distributed systems, Security and privacy in CPS |
| UECE4014 | Mobile Computing | Elective | 3 | Wireless communication technologies, Mobile operating systems, Mobile application development, Context-aware computing, Pervasive computing |
| UECE4015 | Cloud Computing | Elective | 3 | Cloud service models (IaaS, PaaS, SaaS), Virtualization technologies, Cloud deployment models, Cloud security challenges, Big data in cloud computing |
| UECE4016 | Satellite Communication | Elective | 3 | Satellite orbits and constellations, Satellite link design, Earth station technology, Multiple access techniques, VSAT systems and applications |
| UECE4017 | Project/Dissertation/Industrial Project | Project | 6 | In-depth research and problem-solving, System design and development, Experimental validation, Thesis writing and presentation, Real-world application development |
