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B-TECH in Computer Science Engineering at Hemvati Nandan Bahuguna Garhwal University
Pauri Garhwal, Uttarakhand
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About the Specialization
What is Computer Science Engineering at Hemvati Nandan Bahuguna Garhwal University Pauri Garhwal?
This Computer Science Engineering program at Hemvati Nandan Bahuguna Garhwal University focuses on equipping students with a robust foundation in computational theories and practical applications. It is tailored to meet the evolving demands of the Indian IT industry, emphasizing core areas like data structures, algorithms, operating systems, and cutting-edge fields such as artificial intelligence, machine learning, and cloud computing. The program aims to foster innovation and problem-solving skills crucial for India''''s growing digital economy.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics, logical reasoning, and an interest in technology. It welcomes fresh graduates seeking entry into software development, data science, or cybersecurity roles within India''''s tech landscape. Working professionals looking to upskill in advanced computing domains like AI/ML or cloud architecture, and career changers transitioning into the IT industry, can also benefit from its comprehensive curriculum, provided they meet the foundational prerequisites.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including software developer, data analyst, machine learning engineer, cybersecurity specialist, and cloud architect. Entry-level salaries typically range from INR 3.5-6 LPA, growing to INR 8-15+ LPA for experienced professionals. The curriculum is designed to align with industry-recognized certifications in cloud platforms, AI, and cybersecurity, enabling significant growth trajectories within leading Indian and multinational technology companies operating in India.
Student Success Practices
Foundation Stage
Master Core Programming & Logic- (Semester 1-2)
Consolidate foundational programming concepts (C/Java) and data structures. Actively solve problems on coding platforms beyond classroom assignments to build strong logical reasoning and algorithmic thinking, crucial for all future CSE subjects.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, W3Schools
Career Connection
Essential for cracking technical interviews for entry-level software development roles and forming the bedrock for advanced topics like AI/ML and data science.
Cultivate Strong Mathematical & Analytical Skills- (Semester 1-2)
Focus on understanding Engineering Mathematics and Discrete Mathematics deeply. Participate in problem-solving sessions and utilize online resources to grasp concepts like calculus, linear algebra, and graph theory, which underpin algorithms, AI, and data science.
Tools & Resources
Khan Academy, NPTEL lectures, Wolfram Alpha
Career Connection
Strong analytical skills are vital for roles in data science, quantitative analysis, research, and for designing efficient algorithms.
Engage in Peer Learning & Technical Clubs- (Semester 1-2)
Form study groups to discuss complex topics, prepare for exams, and collaboratively solve problems. Join university technical clubs (e.g., coding club, robotics club) to explore interests, work on mini-projects, and gain exposure to competitive programming or hackathons.
Tools & Resources
GitHub for collaborative coding, Discord/WhatsApp for study groups, University club platforms
Career Connection
Develops teamwork, communication, and problem-solving skills, highly valued by employers. Provides early networking opportunities and practical project experience.
Intermediate Stage
Build Practical Projects & Portfolio- (Semester 3-5)
Apply theoretical knowledge from DBMS, OS, Web Technology, and AI to develop practical projects. Start with small, guided projects and gradually move to more complex, independent ones. Document code effectively on GitHub.
Tools & Resources
GitHub, VS Code, MySQL/PostgreSQL, Python/Java frameworks (e.g., Flask, Django, Spring Boot)
Career Connection
A strong project portfolio is critical for demonstrating skills during placements and internships, making candidates stand out to recruiters in India''''s competitive job market.
Seek Industry Exposure through Internships/Workshops- (Semester 4-5)
Actively search for summer internships or participate in industry-focused workshops/bootcamps. Even short-term experiences provide valuable insights into professional environments and help build a network.
Tools & Resources
LinkedIn, Internshala, Company career pages, University career services
Career Connection
Gaining real-world experience is highly beneficial for securing final placements and understanding industry expectations, often leading to pre-placement offers.
Specialize and Deepen Skill Sets- (Semester 5-6)
Identify areas of interest (e.g., AI/ML, Web Development, Cybersecurity, Data Science) and take relevant elective courses. Supplement formal education with online certifications or specialized courses to build expertise in a chosen domain.
Tools & Resources
Coursera, Udemy, edX, NPTEL, TensorFlow/React documentation
Career Connection
Specialization helps in targeting specific job roles and demonstrates a focused career interest, making candidates more attractive to companies hiring for niche skills.
Advanced Stage
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Dedicate significant time to placement preparation, focusing on aptitude, logical reasoning, and technical interview questions (DSA, OS, DBMS, Networks). Participate in mock interviews with peers, seniors, or career advisors.
Tools & Resources
InterviewBit, LeetCode, GeeksforGeeks, University placement cell resources
Career Connection
Directly prepares students for the rigorous Indian placement process, maximizing chances of securing good job offers in top IT firms and startups.
Undertake Capstone Project & Research- (Semester 7-8)
Engage in a substantial capstone project (Project Part I & II) that integrates learning from various courses. Consider exploring research opportunities with faculty or presenting findings at student conferences.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), Project management tools (Jira, Trello), Advanced programming languages/frameworks
Career Connection
A well-executed capstone project showcases advanced problem-solving, innovation, and technical leadership, highly valued for both jobs and further academic pursuits (M.Tech/Ph.D.).
Network Professionally & Attend Industry Events- (Semester 6-8)
Build a professional network by connecting with alumni, industry experts, and attending virtual or local tech meetups, webinars, and conferences. Maintain an updated LinkedIn profile showcasing skills and projects.
Tools & Resources
LinkedIn, Eventbrite for local tech events, Virtual conference platforms
Career Connection
Networking often opens doors to referral-based job opportunities, mentorship, and keeps students updated on industry trends, which is crucial for long-term career growth in India''''s dynamic tech sector.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 182 Credits
Assessment: Internal: 30% (Theory), 50% (Practical), External: 70% (Theory), 50% (Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT-101 | Engineering Physics / Engineering Chemistry | Core | 4 | Oscillations and Waves, Electromagnetic Theory, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics |
| BT-102 | Engineering Mathematics-I | Core | 4 | Matrices, Differential Calculus, Integral Calculus, Ordinary Differential Equations, Vector Calculus |
| BT-103 | Basic Electrical Engineering / Basic Electronics Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Measuring Instruments |
| BT-104 | Programming for Problem Solving | Core | 4 | Programming Fundamentals, Data Types and Variables, Control Structures, Functions and Modules, Arrays and Pointers |
| BT-105 | English for Communication | Core | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Writing Skills, Presentation Skills |
| BT-151 | Engineering Physics Lab / Engineering Chemistry Lab | Lab | 1 | |
| BT-152 | Basic Electrical Engineering Lab / Basic Electronics Engineering Lab | Lab | 1 | |
| BT-153 | Programming for Problem Solving Lab | Lab | 1 | |
| BT-154 | Engineering Graphics & Design Lab | Lab | 1 | |
| BT-155 | Workshop Manufacturing Practices Lab | Lab | 1 | |
| BT-156 | English for Communication Lab | Lab | 1 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT-201 | Engineering Chemistry / Engineering Physics | Core | 4 | Water Technology, Fuels and Combustion, Electrochemistry, Corrosion and its Control, Polymer Science |
| BT-202 | Engineering Mathematics-II | Core | 4 | Multivariable Calculus, Partial Differential Equations, Laplace Transforms, Fourier Series, Complex Analysis |
| BT-203 | Basic Electronics Engineering / Basic Electrical Engineering | Core | 4 | Semiconductor Diodes, Transistor Characteristics, Rectifiers and Filters, Amplifiers and Oscillators, Digital Logic Gates |
| BT-204 | Data Structure & Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BT-205 | Environmental Science | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Solid Waste Management, Environmental Ethics and Legislation |
| BT-251 | Engineering Chemistry Lab / Engineering Physics Lab | Lab | 1 | |
| BT-252 | Basic Electronics Engineering Lab / Basic Electrical Engineering Lab | Lab | 1 | |
| BT-253 | Data Structure & Algorithms Lab | Lab | 1 | |
| BT-254 | Computer Aided Machine Drawing Lab | Lab | 1 | |
| BT-255 | Workshop Manufacturing Practices Lab | Lab | 1 | |
| BT-256 | Language Proficiency and Professional Skills Lab | Lab | 1 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-301 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Trees and Recursion, Algebraic Structures |
| BCT-302 | Digital Electronics & Logic Design | Core | 4 | Boolean Algebra, Logic Gates and Families, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| BCT-303 | Data Base Management System | Core | 4 | ER Model, Relational Model and Algebra, SQL and Query Optimization, Normalization, Transaction Management |
| BCT-304 | Operating System | Core | 4 | OS Structures, Process Management, CPU Scheduling, Deadlocks, Memory Management |
| BCT-305 | Data Communication & Computer Network | Core | 4 | OSI and TCP/IP Models, Physical Layer, Data Link Layer, Network Layer, Transport and Application Layers |
| BCT-351 | Digital Electronics & Logic Design Lab | Lab | 1 | |
| BCT-352 | Data Base Management System Lab | Lab | 1 | |
| BCT-353 | Operating System Lab | Lab | 1 | |
| BCT-354 | Data Communication & Computer Network Lab | Lab | 1 | |
| BCT-355 | Professional Practice - I | Sessional | 1 | Soft Skills, Communication, Personality Development, Group Discussions, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-401 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BCT-402 | Computer Organization & Architecture | Core | 4 | Computer Generations, CPU Organization, Memory Hierarchy, I/O Organization, Pipelining and Parallelism |
| BCT-403 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| BCT-404 | Object Oriented Programming using Java | Core | 4 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, GUI Programming |
| BCT-405 | Web Technology | Core | 4 | HTML and CSS, JavaScript and DOM, Web Servers and Databases, Client-Server Architecture, AJAX and JSON |
| BCT-451 | Design & Analysis of Algorithms Lab | Lab | 1 | |
| BCT-452 | Computer Organization & Architecture Lab | Lab | 1 | |
| BCT-453 | Object Oriented Programming using Java Lab | Lab | 1 | |
| BCT-454 | Web Technology Lab | Lab | 1 | |
| BCT-455 | Professional Practice - II | Sessional | 1 | Aptitude Testing, Interview Preparation, Resume Building, Etiquette, Goal Setting |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-501 | Artificial Intelligence | Core | 4 | AI Agents and Search, Knowledge Representation, Machine Learning Fundamentals, Expert Systems, Natural Language Processing basics |
| BCT-502 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| BCT-503 | Software Engineering | Core | 4 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Project Management |
| BCT-5XX | Departmental Elective - I | Elective | 4 | Microprocessor & Microcontroller (Example), Multimedia Systems, Advanced Database Management System, Internet of Things |
| BCT-5XX | Open Elective - I | Open Elective | 3 | |
| BCT-551 | Artificial Intelligence Lab | Lab | 1 | |
| BCT-552 | Compiler Design Lab | Lab | 1 | |
| BCT-553 | Software Engineering Lab | Lab | 1 | |
| BCT-554 | Departmental Elective - I Lab | Lab | 1 | |
| BCT-555 | Mini Project - I | Project | 1 | Problem Identification, Design and Implementation, Testing and Debugging, Report Writing, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-601 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Regression and Classification, Clustering and Dimensionality Reduction |
| BCT-602 | Data Mining & Data Warehousing | Core | 4 | Data Preprocessing, Data Warehousing Concepts, OLAP and OLTP, Association Rule Mining, Classification and Clustering |
| BCT-6XX | Departmental Elective - II | Elective | 4 | Mobile Computing (Example), Digital Image Processing, Cloud Computing, Computer Graphics |
| BCT-6XX | Open Elective - II | Open Elective | 3 | |
| BCT-651 | Machine Learning Lab | Lab | 1 | |
| BCT-652 | Data Mining & Data Warehousing Lab | Lab | 1 | |
| BCT-653 | Departmental Elective - II Lab | Lab | 1 | |
| BCT-654 | Project | Project | 6 | Project Planning, System Design, Implementation and Testing, Documentation, Presentation |
| BCT-655 | Industrial Training/Internship | Sessional | 1 | Industry Exposure, Practical Skill Application, Professional Networking, Problem-Solving in Real World, Report Submission |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-701 | Cryptography & Network Security | Core | 4 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Network Security Protocols, Firewalls and Intrusion Detection |
| BCT-7XX | Departmental Elective - III | Elective | 4 | Soft Computing (Example), Advanced Computer Architecture, Distributed Systems, Real Time Systems |
| BCT-7XX | Departmental Elective - IV | Elective | 4 | Natural Language Processing (Example), Big Data Analytics, High Performance Computing, Human Computer Interaction |
| BCT-751 | Cryptography & Network Security Lab | Lab | 1 | |
| BCT-752 | Project Part - I (Based on DE-III/DE-IV) | Project | 4 | Literature Survey, Problem Formulation, Methodology Design, Initial Implementation, Progress Report |
| BCT-753 | Professional Practice - III | Sessional | 1 | Entrepreneurship, Ethics in Engineering, IPR and Patents, Conflict Resolution, Leadership Skills |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCT-8XX | Departmental Elective - V | Elective | 4 | Deep Learning (Example), Quantum Computing, Blockchain Technology, Game Theory |
| BCT-851 | Project Part - II | Project | 12 | Final System Development, Extensive Testing, Performance Evaluation, Comprehensive Documentation, Final Presentation and Viva |
| BCT-852 | Seminar & GD | Sessional | 1 | Technical Seminars, Current Technology Trends, Group Discussions, Public Speaking, Critical Thinking |
