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B-TECH in Computer Science And Engineering at Indian Institute of Information Technology, Bhagalpur
Bhagalpur, Bihar
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Information Technology, Bhagalpur Bhagalpur?
This Computer Science and Engineering program at Indian Institute of Information Technology Bhagalpur focuses on building a strong foundation in core CS concepts while offering specialization in emerging technologies. It addresses the significant demand for skilled professionals in India''''s rapidly expanding digital economy, emphasizing innovation, problem-solving, and practical application, making graduates highly valuable to the industry.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics and logical reasoning. It caters to fresh graduates seeking entry into the dynamic IT sector, individuals passionate about software development, data science, artificial intelligence, and cybersecurity. Students with a competitive JEE (Main) rank and a zeal for technological innovation will find this program a perfect fit.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in leading tech firms, startups, and public sector organizations. Entry-level salaries typically range from INR 5-10 lakhs per annum, with significant growth potential up to INR 20-40 lakhs for experienced professionals. The curriculum is aligned with industry certifications and fosters entrepreneurial skills, preparing students for impactful roles in the Indian tech landscape.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent effort to fundamental programming concepts (C, Data Structures). Practice coding daily to build logical thinking and problem-solving skills. Understand the ''''why'''' behind algorithms, not just the ''''how''''.
Tools & Resources
HackerRank, GeeksforGeeks, LeetCode (Easy problems), Standard C/C++ textbooks
Career Connection
A strong foundation is crucial for all technical interviews and forms the bedrock for advanced subjects like algorithms and machine learning, directly impacting placement success in software development roles.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups, discuss complex topics, and work together on small coding projects. Explaining concepts to others solidifies your own understanding and develops essential teamwork skills.
Tools & Resources
GitHub, Discord/WhatsApp study groups, College coding clubs
Career Connection
Teamwork is highly valued in industry. Collaborative projects enhance your portfolio and demonstrate your ability to work effectively in a professional setting, which is vital for engineering roles.
Develop Strong Communication Skills- (Semester 1-2)
Actively participate in English for Communication and Professional Communication courses. Practice technical writing for lab reports and deliver presentations. Join debating or public speaking clubs.
Tools & Resources
Grammarly, Toastmasters International (if available locally), College literary clubs
Career Connection
Effective communication is paramount for interviews, client interaction, and team collaboration. Strong communication ensures you can articulate technical ideas clearly, making you a more impactful professional.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Beyond coursework, undertake self-initiated projects in areas like web development, app development, or basic AI. Focus on solving real-world problems and documenting your work thoroughly on platforms like GitHub.
Tools & Resources
GitHub, VS Code, Python/Java frameworks (Flask, Django, Spring Boot), Online tutorials (Coursera, Udemy)
Career Connection
A robust project portfolio showcases practical skills and initiative, significantly boosting your resume for internships and placements. It provides concrete examples for discussion during technical interviews.
Seek Early Industry Exposure through Internships/Workshops- (Semester 4-5)
Actively look for summer internships or participate in industry-sponsored workshops, even if unpaid initially. This provides invaluable insights into corporate culture, professional tools, and practical problem-solving.
Tools & Resources
Internshala, LinkedIn, College career services, Company career pages
Career Connection
Early exposure helps you network, understand career paths, and gain real-world experience, making you more marketable for full-time roles and often leading to pre-placement offers.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Engage in competitive programming contests and hackathons. These events sharpen problem-solving under pressure, expose you to new technologies, and offer opportunities for innovation and networking.
Tools & Resources
CodeChef, HackerEarth, Major League Hacking (MLH) events, College hackathon clubs
Career Connection
Success in these competitions demonstrates exceptional problem-solving abilities and resilience, which are highly attractive to top tech companies, often leading to direct interview opportunities or recognition.
Advanced Stage
Specialize and Deepen Technical Skills- (Semester 6-7)
Choose department and open electives strategically to build expertise in a specific area (e.g., AI/ML, Cybersecurity, Cloud Computing). Pursue certifications relevant to your chosen specialization.
Tools & Resources
Google Cloud/AWS certifications, NPTEL courses, DeepLearning.AI, Industry-specific online platforms
Career Connection
Specialized skills make you a niche candidate in a competitive job market, enabling you to target specific high-demand roles and potentially command higher salaries in your chosen field.
Focus on Major Project Development- (Semester 6-7)
Invest significant time and effort in your Major Project (CS604, CS701). Choose a challenging problem, apply advanced concepts, and aim for a deployable solution. Document every phase meticulously.
Tools & Resources
Agile/Scrum methodologies, Version control (Git), Jira/Trello for project management, Cloud deployment platforms (Heroku, Netlify)
Career Connection
Your major project is often the highlight of your resume and a key talking point in interviews. A well-executed project demonstrates your ability to deliver end-to-end solutions, crucial for product development roles.
Intensive Placement Preparation & Networking- (Semester 7-8)
Engage in rigorous aptitude and technical interview preparation. Practice mock interviews, refine your resume, and leverage alumni networks for referrals and insights. Understand current industry hiring trends.
Tools & Resources
Placement cell workshops, LinkedIn for networking, Mock interview platforms, Company-specific interview guides
Career Connection
Comprehensive preparation significantly increases your chances of securing placements with top companies. Networking can open doors to opportunities not advertised publicly and provide mentorship.
Program Structure and Curriculum
Eligibility:
- Minimum 75% marks in Class 12th/equivalent in Physics, Chemistry, and Mathematics (PCM) or top 20 percentile marks; JEE (Main) qualified.
Duration: 8 semesters / 4 years
Credits: 155 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics – I | Core | 4 | Calculus of one variable, Multivariable Calculus, Vector Calculus, Ordinary Differential Equations, Laplace Transform |
| PH101 | Engineering Physics | Core | 4 | Quantum Mechanics, Statistical Mechanics, Solid State Physics, Lasers and Optics, Nanomaterials |
| EE101 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Basic Electronics |
| CS101 | Introduction to Programming | Core | 3 | C Language Basics, Control Flow, Functions, Arrays and Pointers, Structures and File I/O |
| HS101 | English for Communication | Core | 2 | Grammar and Vocabulary, Reading Comprehension, Writing Skills, Presentation Skills, Public Speaking |
| PH102 | Engineering Physics Lab | Lab | 1 | Experiments in Optics, Electricity and Magnetism, Modern Physics, Semiconductor Devices |
| EE102 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Measurement of Electrical Parameters, Characteristics of Devices, Basic Motor Control |
| CS102 | Programming Lab | Lab | 1 | Problem Solving using C, Data Types and Operators, Conditional Statements and Loops, Functions and Arrays, Debugging and Testing |
| ES101 | Engineering Graphics & Design | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, CAD Tools Introduction, Assembly Drawings |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Engineering Mathematics – II | Core | 4 | Linear Algebra, Eigenvalues and Eigenvectors, Complex Analysis, Fourier Series, Partial Differential Equations |
| CY101 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion Science, Spectroscopy, Organic Reaction Mechanisms, Water Technology and Polymers |
| CS201 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graphs and Hashing, Sorting and Searching Algorithms |
| CS202 | Digital Logic Design | Core | 3 | Number Systems, Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| EC201 | Basic Electronics Engineering | Core | 4 | Semiconductor Diodes, Transistors (BJT & MOSFET), Operational Amplifiers, Digital Integrated Circuits, Basic Communication Systems |
| CY102 | Engineering Chemistry Lab | Lab | 1 | Quantitative Chemical Analysis, Water Quality Analysis, Synthesis of Organic Compounds, Instrumental Methods of Analysis |
| CS203 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Applications, Tree Traversals, Graph Algorithms, Sorting and Searching Techniques |
| CS204 | Digital Logic Design Lab | Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Memory Circuits, FPGA/CPLD Prototyping |
| HS201 | Professional Communication | Core | 2 | Oral Communication Skills, Written Communication for Reports, Technical Presentations, Group Discussions, Interpersonal Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| CS301 | Object Oriented Programming | Core | 3 | OOP Concepts (Encapsulation, Abstraction), Classes and Objects, Inheritance and Polymorphism, Exception Handling, File I/O and GUI Programming |
| CS302 | Computer Organization & Architecture | Core | 3 | CPU Organization, Memory Hierarchy, Input/Output Organization, Instruction Set Architectures, Pipelining and Parallel Processing |
| CS303 | Operating Systems | Core | 3 | Process Management and Scheduling, Memory Management, Virtual Memory, File Systems, Deadlocks and Concurrency Control |
| CS304 | Database Management Systems | Core | 3 | Relational Model and SQL, ER Modeling and Normalization, Transaction Management, Concurrency Control, Database Security and Recovery |
| CS305 | Object Oriented Programming Lab | Lab | 1 | OOP using Java/Python, Class and Object Implementation, Inheritance and Polymorphism Exercises, GUI Application Development, Data Structures in OOP |
| CS306 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, Inter-process Communication, Thread Synchronization, Memory Allocation Algorithms |
| CS307 | Database Management Systems Lab | Lab | 1 | SQL Queries and PL/SQL, Database Design and Implementation, JDBC/ODBC Connectivity, Trigger and Stored Procedures, Mini Database Project |
| HS202 | Constitution of India | Audit | 0 | Preamble and Basic Structure, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Legislature, Judiciary and Emergency Provisions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA202 | Probability and Statistics | Core | 4 | Probability Axioms, Random Variables and Distributions, Sampling Theory, Hypothesis Testing, Regression and Correlation |
| CS401 | Design & Analysis of Algorithms | Core | 3 | Asymptotic Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| CS402 | Theory of Computation | Core | 3 | Finite Automata, Regular Languages and Expressions, Context-Free Grammars, Turing Machines, Decidability and Undecidability |
| CS403 | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer and Network Security |
| CS404 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Project Management and Quality Assurance |
| CS405 | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Solutions, Greedy Approach Problems, Divide and Conquer Algorithms |
| CS406 | Computer Networks Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming, Protocol Implementation, Packet Analysis with Wireshark, Client-Server Applications |
| OP401 | Open Elective – I | Elective | 3 | General topics based on student choice, Interdisciplinary concepts, Application-oriented studies, Skill enhancement, Emerging technologies |
| AU401 | Essence of Indian Traditional Knowledge | Audit | 0 | Indian Knowledge Systems, Vedas and Upanishads, Yoga and Ayurveda, Indian Classical Arts, Sustainable Living Practices |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501 | Artificial Intelligence | Core | 3 | Problem Solving and Search Algorithms, Knowledge Representation, Logical Reasoning, Machine Learning Basics, Natural Language Processing, Expert Systems |
| CS502 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation, Runtime Environments |
| CS503 | Artificial Intelligence Lab | Lab | 1 | Implementation of Search Algorithms, Logic Programming (Prolog), Basic Machine Learning Algorithms, Natural Language Processing Tools, AI Project Development |
| DE5xx | Department Elective – I | Elective | 3 | Advanced Data Structures, Web Technologies, Big Data Analytics, Distributed Systems, Image Processing |
| DE5yy | Department Elective – II | Elective | 3 | Computer Graphics, Cloud Computing, Cryptography and Network Security, Internet of Things, Human-Computer Interaction |
| OP501 | Open Elective – II | Elective | 3 | General topics based on student choice, Interdisciplinary skills, Personal development, Entrepreneurship, Arts and Humanities |
| CS504 | Industrial Training/Minor Project | Project | 2 | Industry-specific problem solving, Technical Report Writing, Presentation Skills, Teamwork and Collaboration, Practical Application of Concepts |
| HS301 | Organizational Behavior | Core | 3 | Individual Behavior in Organizations, Group Dynamics and Teamwork, Leadership and Motivation, Organizational Culture and Structure, Conflict Management and Change |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning Fundamentals, Model Evaluation and Feature Engineering, Ensemble Methods |
| CS602 | Professional Practice & Ethics | Core | 2 | Professionalism in Computing, Ethical Dilemmas in Technology, Intellectual Property Rights, Cyber Law and Data Privacy, Societal Impact of Technology |
| CS603 | Machine Learning Lab | Lab | 1 | Implementation of ML Algorithms (Python), Data Preprocessing and Visualization, Model Training and Evaluation, Scikit-learn and TensorFlow/PyTorch, Mini Machine Learning Project |
| DE6xx | Department Elective – III | Elective | 3 | Blockchain Technology, Cyber Security Auditing, Advanced Operating Systems, Embedded Systems, Parallel and Distributed Computing |
| DE6yy | Department Elective – IV | Elective | 3 | Natural Language Processing, Computer Vision, Wireless Communication, Robotics, Quantum Computing Fundamentals |
| OP601 | Open Elective – III | Elective | 3 | General topics based on student choice, Social Sciences, Environmental Studies, Foreign Language, Management Principles |
| CS604 | Major Project – I | Project | 4 | Project Planning and Management, Literature Survey and Problem Definition, System Design and Architecture, Prototype Development, Technical Documentation and Presentation |
| HS302 | Universal Human Values & Professional Ethics | Audit | 0 | Human Values and Self-exploration, Harmony in the Individual, Harmony in Family and Society, Harmony in Nature and Existence, Professional Ethics and Code of Conduct |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DE7xx | Department Elective – V | Elective | 3 | Data Warehousing and Data Mining, Mobile Application Development, Deep Learning, Ethical Hacking, Virtual and Augmented Reality |
| DE7yy | Department Elective – VI | Elective | 3 | Cyber Physical Systems, Game Development, Bioinformatics, Human-Robot Interaction, Cognitive Computing |
| OP701 | Open Elective – IV | Elective | 3 | General topics based on student choice, Advanced management techniques, Economics and finance, Interdisciplinary research, Creative arts |
| HS401 | Industrial Management & Economics | Core | 3 | Principles of Management, Production and Operations Management, Financial Management, Marketing Management, Engineering Economics |
| CS701 | Major Project – II | Project | 6 | System Implementation and Development, Testing and Quality Assurance, Performance Evaluation and Optimization, Comprehensive Project Report, Final Presentation and Demonstration |
| CS702 | Seminar | Core | 2 | Technical Presentation Skills, Literature Review and Research, Public Speaking and Q&A, Current Trends in CSE, Scientific Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DE8xx | Department Elective – VII | Elective | 3 | Advanced Database Systems, Software Project Management, Functional Programming, Big Data Security, Deep Reinforcement Learning |
| OP801 | Open Elective – V | Elective | 3 | General topics based on student choice, Advanced technical skills, Specialized industry topics, Societal impact of technology, Innovation and entrepreneurship |
| CS801 | Comprehensive Viva Voce | Core | 4 | Overall Subject Knowledge (CSE), Problem-Solving Abilities, Communication and Presentation Skills, Technical Depth and Understanding, Industry Relevance and Application |
