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B-TECH in Computer Engineering at Pandit Deendayal Energy University
Gandhinagar, Gujarat
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About the Specialization
What is Computer Engineering at Pandit Deendayal Energy University Gandhinagar?
This Computer Engineering program at Pandit Deendayal Energy University focuses on equipping students with a robust foundation in computing principles and applications. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing core areas like data structures, algorithms, operating systems, networking, and emerging fields such as Artificial Intelligence and Machine Learning. The program distinguishes itself through a blend of theoretical knowledge and practical, hands-on experience, preparing graduates for diverse roles in software development, data science, and system architecture within India''''s rapidly expanding digital economy.
Who Should Apply?
This program is ideal for aspiring engineers and tech enthusiasts who possess strong analytical and problem-solving skills. It caters to fresh 12th-grade graduates with a keen interest in logical thinking, programming, and understanding how computer systems function. It is also suitable for those looking to build a career in software engineering, cybersecurity, data analytics, or research within India. A basic aptitude for mathematics and an eagerness to engage with complex technological challenges are beneficial prerequisites for thriving in this rigorous engineering discipline.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths in India as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning upwards of INR 15-30+ LPA in leading Indian IT firms and MNCs. The program fosters critical thinking and innovation, enabling growth trajectories into leadership and specialized technical roles. Additionally, the curriculum aligns with skills required for various global professional certifications, enhancing employability in the competitive Indian and international job markets.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time to understanding and practicing core programming concepts (C/C++, Python). Solve at least 2-3 coding problems daily to build logical thinking and debugging skills. Focus on understanding data types, control structures, functions, and basic algorithms.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, Online C/C++ tutorials
Career Connection
Strong fundamentals are the bedrock for all advanced computer science topics and are heavily tested in technical interviews for entry-level software development roles in India.
Cultivate Strong Mathematical Foundations- (Semester 1-2)
Pay close attention to Engineering Mathematics (Calculus, Linear Algebra, Probability, Discrete Math). Practice problems regularly and seek clarification for difficult concepts. These mathematical skills are crucial for understanding algorithms, data science, and AI.
Tools & Resources
NPTEL lectures on Engineering Mathematics, Khan Academy, Textbook problem sets
Career Connection
Essential for analytical roles, research, and advanced studies, providing the theoretical basis for complex algorithms and data models prevalent in Indian tech R&D.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics and work together on lab assignments and small projects. Teach concepts to peers to solidify your own understanding. Participate in college coding clubs for collaborative learning.
Tools & Resources
WhatsApp/Telegram study groups, GitHub for collaborative coding, College coding clubs
Career Connection
Develops teamwork and communication skills, highly valued by Indian companies for roles in agile software development teams.
Intermediate Stage
Deep Dive into Data Structures & Algorithms- (Semester 3-5)
Beyond theoretical understanding, implement common data structures and algorithms from scratch. Participate in competitive programming contests to apply knowledge under timed conditions. Aim to solve medium-hard level problems regularly.
Tools & Resources
LeetCode, SPOJ, InterviewBit, NPTEL Data Structures & Algorithms course
Career Connection
This is a primary screening criterion for almost all software development and product engineering roles in top Indian tech companies and startups.
Build Real-World Projects & Contribute to Open Source- (Semester 3-5)
Apply your learning by building mini-projects in areas like web development, app development, or basic machine learning. Start contributing to open-source projects on GitHub to understand collaborative development workflows and industry best practices.
Tools & Resources
GitHub, Stack Overflow, Online project ideas, Dev.to for developer blogs
Career Connection
Creates a strong portfolio for internships and placements, showcasing practical skills and initiative to Indian recruiters. Open-source experience is a significant differentiator.
Seek Early Industry Exposure through Internships/Workshops- (Semester 3-5)
Actively look for summer internships or virtual internships (even unpaid ones) after 3rd or 4th semester. Attend industry workshops, tech talks, and guest lectures organized by the university or external bodies to gain practical insights.
Tools & Resources
Internshala, LinkedIn Jobs, College Placement Cell, Industry conferences (e.g., Google DevFest, AWS Summits)
Career Connection
Provides valuable practical experience, networking opportunities, and a significant advantage in final year placements, often leading to Pre-Placement Offers (PPOs) in India.
Advanced Stage
Specialize and Master Niche Technologies- (Semester 6-8)
Identify an area of interest (e.g., AI/ML, Cybersecurity, Cloud Computing, Web3) and pursue advanced electives. Complete certifications, build complex projects, and delve into research papers in your chosen specialization.
Tools & Resources
Coursera/edX for specialized courses, TensorFlow/PyTorch documentation, AWS/Azure/GCP certifications, arXiv for research papers
Career Connection
Positions you as an expert in high-demand fields, leading to specialized roles and higher salary packages in Indian tech companies and product startups.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Engage in dedicated placement preparation covering aptitude, technical concepts, and HR interviews. Practice mock interviews with peers, seniors, and career counselors. Prepare a tailored resume and LinkedIn profile.
Tools & Resources
PrepInsta, Glassdoor, Interview Experiences on GeeksforGeeks, College Career Services
Career Connection
Crucial for converting interview opportunities into job offers, ensuring readiness for the rigorous Indian recruitment process, especially for mass recruiters and top product companies.
Network Strategically and Leverage Alumni Connections- (Semester 6-8)
Attend industry events, seminars, and networking sessions. Connect with alumni on LinkedIn and seek mentorship. Participate in hackathons and industry challenges to meet professionals and potential employers.
Tools & Resources
LinkedIn, Alumni Network Portal, Meetup events, Industry-specific conferences
Career Connection
Opens doors to off-campus opportunities, referrals, and insights into specific company cultures and hiring trends within the Indian market, beyond traditional campus placements.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: undefined, External: undefined
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101T | Engineering Mathematics-I | Core | 4 | Calculus of One Variable, Multivariable Calculus, Matrices and Linear Algebra, Ordinary Differential Equations, Laplace Transforms |
| CH101T | Engineering Chemistry | Core | 4 | Water Technology, Polymer Science, Electrochemistry & Corrosion, Fuel Technology, Material Chemistry |
| ME101T | Elements of Mechanical Engineering | Core | 3 | Thermodynamics, Fluid Mechanics & Machines, Power Plants, Refrigeration & Air Conditioning, Manufacturing Processes |
| EE101T | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| HS101T | Communication Skills | Core | 2 | Grammar & Vocabulary, Listening & Speaking Skills, Reading Comprehension, Technical Writing, Presentation Skills |
| MA101P | Engineering Mathematics-I Lab | Lab | 1 | Numerical methods for equations, Matrix operations, Differential equations solving, Vector calculus applications |
| CH101P | Engineering Chemistry Lab | Lab | 1 | Water hardness determination, Acid-base titrations, Viscosity measurements, Polymer synthesis, Corrosion rate analysis |
| ME101P | Elements of Mechanical Engineering Lab | Lab | 1 | Thermodynamic cycles simulation, Engine performance testing, Refrigeration cycle analysis, Basic workshop practices |
| EE101P | Basic Electrical Engineering Lab | Lab | 1 | Circuit analysis using KVL/KCL, Verification of network theorems, Transformer characteristics, Motor performance analysis, Power factor improvement |
| HS101P | Communication Skills Lab | Lab | 1 | Group discussions, Extempore speaking, Interview preparation, Public speaking, Report writing |
| CE101P | Engineering Graphics | Lab | 1 | Orthographic projections, Isometric projections, Sectional views, Development of surfaces, Introduction to CAD software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102T | Engineering Mathematics-II | Core | 4 | Vector Calculus, Probability Theory, Statistical Methods, Complex Variables, Fourier Series and Transforms |
| PH101T | Engineering Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Laser and Fiber Optics, Electromagnetism, Semiconductor Physics |
| EC101T | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Transistors (BJT, FET), Amplifiers, Operational Amplifiers, Digital Logic Gates |
| CS101T | Programming for Problem Solving | Core | 3 | Introduction to C Programming, Control Structures, Arrays and Strings, Functions and Pointers, Structures and File Handling |
| HS102T | Environmental Science | Core | 2 | Ecosystems, Environmental Pollution, Solid Waste Management, Energy Resources, Environmental Legislation |
| MA102P | Engineering Mathematics-II Lab | Lab | 1 | Statistical data analysis, Probability distribution simulations, Fourier series computation, Complex number operations |
| PH101P | Engineering Physics Lab | Lab | 1 | Semiconductor characteristics, Optical fiber communication, Laser diffraction, Magnetic field measurements |
| EC101P | Basic Electronics Engineering Lab | Lab | 1 | Diode characteristics, Transistor amplifier design, Op-amp applications, Logic gate verification |
| CS101P | Programming for Problem Solving Lab | Lab | 1 | C programming basics, Conditional statements & loops, Functions & arrays, Pointers & structures, File I/O operations |
| ME102P | Workshop Practice | Lab | 1 | Fitting shop, Carpentry shop, Welding shop, Sheet metal shop, Foundry shop |
| PD101 | Sports/Yoga/NSS | Mandatory Non-Credit | 0 | Physical Fitness, Yoga Asanas, Community Service, Team Sports |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201T | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Algebraic Structures, Combinatorics and Recurrence Relations |
| CS201T | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graphs and Hashing, Sorting and Searching Algorithms |
| CS202T | Object Oriented Programming using C++ | Core | 3 | Classes and Objects, Encapsulation and Abstraction, Inheritance, Polymorphism, Templates and Exception Handling |
| CS203T | Digital Logic and Design | Core | 3 | Boolean Algebra, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic, HDL for Digital Design |
| CS204T | Computer Organization and Architecture | Core | 3 | Processor Design, Control Unit Design, Memory Hierarchy, I/O Organization, Pipelining and Parallelism |
| HS201T | Human Values and Professional Ethics | Core | 2 | Human Values, Ethics in Engineering, Moral Dilemmas, Sustainable Development, Professional Responsibility |
| CS201P | Data Structures Lab | Lab | 1 | Array and Linked List implementations, Stack and Queue operations, Tree traversal algorithms, Graph representation and traversal, Sorting and searching implementations |
| CS202P | Object Oriented Programming using C++ Lab | Lab | 1 | Class and object programming, Constructor/destructor usage, Inheritance implementation, Polymorphism with virtual functions, Exception handling |
| CS203P | Digital Logic and Design Lab | Lab | 1 | Logic gate verification, Combinational circuit design, Sequential circuit implementation, Flip-flop characteristics, HDL simulation for digital circuits |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA202T | Probability and Statistics | Core | 4 | Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation, Stochastic Processes |
| CS205T | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, I/O Systems and Deadlocks |
| CS206T | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-Completeness |
| CS207T | Database Management Systems | Core | 3 | Relational Model, SQL Querying, Database Design (ER, Normalization), Transaction Management, Concurrency Control and Recovery |
| CS208T | Theory of Computation | Core | 3 | Finite Automata, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability and Undecidability |
| CS205P | Operating Systems Lab | Lab | 1 | Shell programming, Process creation and management, CPU scheduling algorithms, Inter-process communication, Memory allocation strategies |
| CS206P | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of sorting algorithms, Graph algorithm implementations (BFS, DFS), Dynamic programming solutions, Greedy algorithm applications |
| CS207P | Database Management Systems Lab | Lab | 1 | DDL and DML commands, Advanced SQL queries (joins, subqueries), Stored procedures and functions, Transaction management, Database connectivity (JDBC/ODBC) |
| PD201 | Aptitude and Logical Reasoning | Mandatory Non-Credit | 0 | Numerical Ability, Verbal Reasoning, Logical Reasoning, Data Interpretation, Critical Thinking |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS301T | Economics for Engineers | Core | 2 | Microeconomics, Macroeconomics, Market Structures, Cost Analysis, Project Evaluation |
| CS301T | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| CS302T | Software Engineering | Core | 3 | Software Life Cycle Models, Requirement Engineering, Software Design, Software Testing, Project Management |
| CS303T | Microprocessors & Microcontrollers | Core | 3 | 8085 Microprocessor Architecture, Assembly Language Programming, Interfacing Techniques, 8051 Microcontroller, Embedded System Basics |
| CS301P | Computer Networks Lab | Lab | 1 | Network configuration (IP, Subnet), Socket programming (TCP, UDP), Routing protocol implementation, Packet sniffing and analysis, Network security tools |
| CS302P | Software Engineering Lab | Lab | 1 | UML diagramming, Requirement elicitation and analysis, Software design patterns, Test case generation, Version control systems |
| CS303P | Microprocessors & Microcontrollers Lab | Lab | 1 | 8085 Assembly language programming, Interfacing I/O devices, Interrupt handling, Timer programming, Microcontroller applications |
| CS304PJ | Mini Project | Project | 2 | Problem identification, Literature survey, System design, Implementation and testing, Report writing and presentation |
| PE1 | Professional Elective-I | Elective | 3 | Varies based on elective choice |
| OE1 | Open Elective-I | Open Elective | 3 | Varies based on elective choice |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS305T | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS306T | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Model Evaluation and Optimization |
| CS307T | Web Technology | Core | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting (e.g., Node.js, PHP), Database Connectivity, Web Security Fundamentals |
| CS305P | Compiler Design Lab | Lab | 1 | Lexical analyzer implementation (LEX), Parser implementation (YACC), Syntax tree generation, Intermediate code generation |
| CS306P | Machine Learning Lab | Lab | 1 | Data preprocessing with Python, Supervised learning algorithm implementation, Unsupervised learning algorithm implementation, Neural network development, Model evaluation and visualization |
| CS307P | Web Technology Lab | Lab | 1 | Frontend development (HTML, CSS, JS), Backend development with frameworks, RESTful API creation, Database integration, Deployment basics |
| PE2 | Professional Elective-II | Elective | 3 | Varies based on elective choice |
| OE2 | Open Elective-II | Open Elective | 3 | Varies based on elective choice |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401T | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, Big Data in Cloud |
| CS401P | Cloud Computing Lab | Lab | 1 | Virtual machine creation, Cloud storage services, Containerization (Docker), Serverless computing, Deployment on public clouds (AWS/Azure/GCP) |
| CS402PJ | Project-I | Project | 6 | Advanced problem formulation, System architecture design, Module level implementation, Testing and debugging, Documentation and presentation |
| PE3 | Professional Elective-III | Elective | 3 | Varies based on elective choice |
| PE4 | Professional Elective-IV | Elective | 3 | Varies based on elective choice |
| OE3 | Open Elective-III | Open Elective | 3 | Varies based on elective choice |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS403PJ | Project-II | Project | 10 | Full-scale system development, Integration of complex modules, Performance optimization, Deployment and maintenance aspects, Research paper writing and thesis defense |
| PE5 | Professional Elective-V | Elective | 3 | Varies based on elective choice |
| OE4 | Open Elective-IV | Open Elective | 3 | Varies based on elective choice |
