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B-TECH in Computer Science And Engineering at National Institute of Technology Rourkela
Sundargarh, Odisha
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About the Specialization
What is Computer Science and Engineering at National Institute of Technology Rourkela Sundargarh?
This Computer Science and Engineering program at National Institute of Technology Rourkela focuses on equipping students with a robust foundation in fundamental computing principles, advanced algorithms, and cutting-edge technologies. The curriculum is meticulously designed to foster innovation and problem-solving skills, aligning with the dynamic needs of the Indian IT and technology sector. It emphasizes both theoretical knowledge and practical application, preparing graduates for complex challenges in areas like AI, data science, cybersecurity, and software development. The program stands out for its strong research focus and interdisciplinary approach.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics, logical reasoning, and a passion for technology. It caters to fresh 10+2 graduates who have excelled in competitive entrance exams like JEE Main and are seeking a premier engineering education. It also benefits those keen on pursuing higher studies (M.Tech, PhD) or embarking on entrepreneurial ventures in the tech domain. Students with a desire to contribute to India''''s digital transformation, from developing innovative applications to building robust infrastructure, will find this program highly rewarding.
Why Choose This Course?
Graduates of this program can expect to secure lucrative positions in leading Indian and multinational companies across various sectors, including IT services, product development, finance, and research. Typical career paths include Software Engineer, Data Scientist, AI/ML Engineer, Cybersecurity Analyst, and Cloud Architect, with entry-level salaries often ranging from INR 6-12 LPA and experienced professionals commanding upwards of INR 20-40 LPA or more, particularly in metro cities like Bangalore, Hyderabad, and Pune. The comprehensive skill set acquired also prepares students for global opportunities and advanced professional certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus on building a strong command over C/C++ programming. Regularly practice coding problems, understand data types, control structures, and functions thoroughly. Participate in competitive programming challenges to sharpen logical thinking.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL''''s ''''Programming in C'''' course
Career Connection
Strong programming fundamentals are the bedrock for all CSE careers and are heavily tested in initial placement rounds for software development roles.
Excel in Core Mathematics- (Semester 1-2)
Dedicate significant effort to understanding engineering mathematics concepts, especially calculus, linear algebra, and discrete mathematics. These subjects provide the theoretical underpinning for advanced computer science topics.
Tools & Resources
NPTEL courses, Khan Academy, Specific textbooks recommended by faculty, Peer study groups
Career Connection
Essential for understanding algorithms, machine learning, data science, and theoretical computer science, which are high-demand areas in the tech industry.
Engage in Academic Discussions and Peer Learning- (Semester 1-2)
Form study groups, actively participate in classroom discussions, and collaborate on assignments. Explaining complex concepts to peers solidifies understanding and improves communication and teamwork abilities.
Tools & Resources
Departmental common rooms, Online collaboration tools, Peer-tutoring initiatives within the institution
Career Connection
Develops teamwork, communication, and problem-solving skills, which are highly valued by employers in collaborative work environments.
Intermediate Stage
Build Practical Projects and Portfolios- (Semester 3-5)
Apply theoretical knowledge by developing small to medium-scale projects using learned data structures, algorithms, and OOP principles. Contribute to open-source projects to gain real-world development experience.
Tools & Resources
GitHub, Bitbucket, Python/Java/C++ development environments, Online project ideas platforms
Career Connection
A strong project portfolio is critical for showcasing practical skills to potential employers, helping secure internships and entry-level positions.
Seek Early Industry Exposure through Internships and Workshops- (Semester 4-5)
Actively look for summer internships or participate in industry-oriented workshops and bootcamps. This provides invaluable real-world experience and helps identify specific areas of interest within CSE.
Tools & Resources
College career services, LinkedIn, Internshala.com, Company websites for internship programs, Technical fests and conferences
Career Connection
Leads to practical skill enhancement, networking opportunities, and often results in pre-placement offers (PPOs) from reputable companies.
Specialise in a Niche- (Semester 4-5)
Explore different domains within CSE like AI/ML, Web Development, Cybersecurity, or Data Science. Start gaining deeper knowledge and hands-on experience in one or two areas that genuinely interest you, building specialized skills.
Tools & Resources
Online courses (Coursera, edX, Udemy), Specialized books and research papers, Departmental research groups, Hackathons and coding challenges in specific domains
Career Connection
Helps in building a focused professional profile, making you a specialist for specific, in-demand job roles rather than a generalist, boosting employability.
Advanced Stage
Intensive Placement Preparation- (Semester 6-7)
Begin rigorous preparation for campus placements including aptitude tests, technical interviews covering Data Structures, Algorithms, Operating Systems, DBMS, and Computer Networks, along with soft skills training.
Tools & Resources
Mock interviews with seniors and faculty, Company-specific preparation guides on platforms like Glassdoor, LeetCode premium for interview questions, Resume building workshops
Career Connection
Directly impacts success in securing desirable job offers from top companies, ensuring a smooth transition from academics to a professional career.
Undertake Significant Research or Capstone Projects- (Semester 7-8)
Engage in substantial final-year projects, potentially leading to research publications or patented work. Focus on solving real-world problems with innovative solutions, showcasing advanced problem-solving skills.
Tools & Resources
Faculty mentors and departmental research labs, High-performance computing resources, Advanced software development and simulation tools, Academic databases for literature review
Career Connection
Demonstrates advanced technical expertise, research capabilities, and critical thinking, highly beneficial for both industry roles and higher academic pursuits.
Network with Alumni and Industry Professionals- (undefined)
Actively connect with National Institute of Technology Rourkela alumni and professionals in your target industry through networking events, LinkedIn, and departmental mentorship programs to gain insights and opportunities.
Tools & Resources
LinkedIn professional networking platform, NIT Rourkela alumni association platforms, Career fairs and industry seminars, Professional bodies and conferences
Career Connection
Opens doors to hidden job opportunities, valuable mentorship, and insights into industry trends, crucial for long-term career planning and progression.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
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 |
|---|---|---|---|---|
| HS1001 | Technical English | Humanities & Management Core | 3 | Communication Process, English Grammar and Usage, Paragraph and Essay Writing, Report Writing and Presentation Skills, Business Correspondence |
| MA1001 | Mathematics – I | Basic Science Core | 4 | Differential Calculus, Integral Calculus, Multiple Integrals, Vector Calculus, Ordinary Differential Equations |
| PH1001 | Physics | Basic Science Core | 4 | Oscillations, Waves and Optics, Quantum Physics, Statistical Mechanics, Solid State Physics, Lasers and Fiber Optics |
| CY1001 | Chemistry | Basic Science Core | 4 | Atomic Structure and Bonding, Chemical Thermodynamics, Electrochemistry, Organic Reactions, Polymer Chemistry and Spectroscopy |
| PH1002 | Physics Lab | Basic Science Lab | 2 | Basic Measurement Techniques, Optics Experiments, Electrical Experiments, Solid State Physics Experiments, Modern Physics Experiments |
| CY1002 | Chemistry Lab | Basic Science Lab | 2 | Acid-Base and Redox Titrations, Gravimetric Analysis, Organic Functional Group Identification, Conductometry and Potentiometry, Colorimetry and pH Measurements |
| ME1001 | Engineering Graphics | Engineering Core | 3 | Introduction to Engineering Drawing, Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to AutoCAD |
| CS1001 | Introduction to Computing | Engineering Core | 4 | Problem Solving Fundamentals, C Programming Language Basics, Control Flow Statements, Functions and Modular Programming, Arrays, Pointers, Structures, File Handling |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT1001 | Biology for Engineers | Basic Science Core | 2 | Cell Biology and Metabolism, Biomolecules and Their Functions, Genetics and Heredity, Microbiology and Immunology, Environmental Biotechnology |
| MA1002 | Mathematics – II | Basic Science Core | 4 | Linear Algebra and Matrices, Vector Spaces and Eigenvalue Problems, Complex Numbers and Functions, Probability and Statistics, Transform Methods (Laplace, Fourier) |
| EE1001 | Basic Electrical Engineering | Engineering Core | 4 | DC Circuit Analysis, AC Circuit Analysis, Three-Phase Systems, Transformers, DC Machines and Induction Motors |
| EC1001 | Basic Electronics Engineering | Engineering Core | 4 | Semiconductor Diodes and Rectifiers, Bipolar Junction Transistors, Field-Effect Transistors, Operational Amplifiers, Introduction to Digital Logic Gates |
| ME1002 | Engineering Mechanics | Engineering Core | 4 | Equilibrium of Forces, Trusses and Frames, Friction, Kinematics of Particles, Kinetics of Particles, Work and Energy Principles |
| EE1002 | Basic Electrical Engineering Lab | Engineering Lab | 2 | Verification of Circuit Laws, Study of RLC Circuits, Transformer Efficiency Tests, Motor Characteristics, Power Factor Correction |
| EC1002 | Basic Electronics Engineering Lab | Engineering Lab | 2 | Diode Characteristics and Rectifiers, Transistor Amplifier Design, Logic Gate Verification, Operational Amplifier Circuits, Digital Circuit Construction |
| LS1001 | Language and Life Skills | Humanities & Management Core | 2 | Oral Communication Skills, Public Speaking and Presentation, Group Discussion Techniques, Interview Skills and Resume Writing, Emotional Intelligence and Etiquette |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA2011 | Mathematics – III | Basic Science Core | 4 | Fourier Series and Transforms, Laplace Transform, Partial Differential Equations, Numerical Methods, Optimization Techniques |
| CS2001 | Discrete Mathematics | Program Core | 4 | Set Theory and Logic, Relations and Functions, Combinatorics and Counting, Graph Theory, Algebraic Structures |
| CS2003 | Data Structures and Algorithms | Program Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting Algorithms, Searching Algorithms |
| EC2015 | Digital Electronics | Program Core | 4 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits (Flip-Flops), Registers and Counters, Memory and Programmable Logic |
| CS2005 | Object-Oriented Programming | Program Core | 3 | Principles of OOP (Encapsulation, Abstraction), Classes, Objects, and Constructors, Inheritance and Polymorphism, Exception Handling, File I/O and Templates |
| CS2004 | Data Structures and Algorithms Lab | Program Core Lab | 2 | Implementation of Linear Data Structures, Implementation of Non-Linear Data Structures, Sorting Algorithm Implementation, Graph Traversal Algorithms, Problem Solving with Data Structures |
| EC2016 | Digital Electronics Lab | Program Core Lab | 2 | Logic Gate Realization, Combinational Circuit Design (Adders, Decoders), Sequential Circuit Design (Flip-Flops, Counters), Multiplexers and Demultiplexers, Memory Interface Circuits |
| CS2006 | Object-Oriented Programming Lab | Program Core Lab | 2 | Object-Oriented Programming using C++/Java, Class and Object Implementation, Inheritance and Virtual Functions, Polymorphism and Abstract Classes, Exception Handling and Templates |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS2003 | Economics | Humanities & Management Core | 2 | Principles of Microeconomics, Macroeconomic Indicators, Market Structures and Pricing, Fiscal Policy and Monetary Policy, International Trade |
| CS2002 | Operating Systems | Program Core | 4 | Process Management and Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems and I/O Systems |
| CS2008 | Database Management Systems | Program Core | 4 | Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization, Transaction Management and Concurrency Control |
| CS2010 | Computer Architecture and Organization | Program Core | 4 | Data Representation and Computer Arithmetic, CPU Structure and Function, Instruction Set Architecture, Memory Hierarchy and Cache, Pipelining and I/O Organization |
| CS2012 | Theory of Computation | Program Core | 4 | Finite Automata and Regular Languages, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Classes (P, NP) |
| CS2009 | Database Management Systems Lab | Program Core Lab | 2 | SQL Queries and Data Definition, Database Design and ER Diagram Implementation, Data Manipulation Language (DML), Normalization Practical Application, Stored Procedures and Triggers |
| CS2013 | Design and Analysis of Algorithms | Program Core | 4 | Asymptotic Notations and Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms (BFS, DFS, Shortest Paths), NP-Completeness |
| CS2011 | Operating Systems Lab | Program Core Lab | 2 | Linux Commands and Shell Scripting, Process Creation and Management, Thread Synchronization Mechanisms, Memory Allocation Algorithms, File System Calls |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS3001 | Organizational Behaviour | Humanities & Management Core | 2 | Perception and Learning, Motivation Theories, Leadership Styles, Group Dynamics and Teamwork, Organizational Culture and Conflict Management |
| CS3001 | Compiler Design | Program Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Code Generation, Runtime Environments |
| CS3003 | Computer Networks | Program Core | 4 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer (IP, Routing Protocols), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, SMTP), Network Security Basics |
| CS3005 | Software Engineering | Program Core | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles and Patterns, Software Testing Techniques, Software Project Management, Agile Methodologies |
| CS3007 | Artificial Intelligence | Program Core | 4 | Problem Solving Agents and Search Algorithms, Knowledge Representation, Logical Reasoning (Propositional and First-Order Logic), Planning, Introduction to Machine Learning, Expert Systems |
| CS3004 | Computer Networks Lab | Program Core Lab | 2 | Socket Programming (TCP/UDP), Network Configuration and Troubleshooting, Protocol Implementation (e.g., ARP, HTTP), Network Monitoring Tools, Client-Server Application Development |
| CS3008 | Artificial Intelligence Lab | Program Core Lab | 2 | Prolog Programming for Logic, Implementation of Search Algorithms, Knowledge Representation Systems, Expert System Development, Basic Machine Learning Library Usage |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS3003 | Engineering Ethics & Society | Humanities & Management Core | 2 | Ethical Theories in Engineering, Professional Responsibilities and Rights, Environmental Ethics, Intellectual Property Rights and Cyber Ethics, Corporate Social Responsibility |
| CS3002 | Machine Learning | Program Core | 4 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Ensemble Methods, Deep Learning Basics (Neural Networks), Model Evaluation and Validation, Reinforcement Learning Introduction |
| CS3006 | Cryptography and Network Security | Program Core | 4 | Classical Cryptographic Techniques, Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Hashing and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and Intrusion Detection Systems |
| CS3009 | Distributed Systems | Program Core | 4 | Distributed System Architectures, Interprocess Communication, Remote Procedure Call (RPC), Distributed File Systems, Concurrency Control and Deadlock in Distributed Systems, Fault Tolerance and Consistency |
| PE-I | Program Elective – I | Program Elective | 3 | Varies based on student choice from approved departmental list |
| OE-I | Open Elective – I | Open Elective | 3 | Varies based on student choice from approved institute-wide list |
| CS3010 | Machine Learning Lab | Program Core Lab | 2 | Data Preprocessing and Visualization, Implementation of Regression Models, Implementation of Classification Models, Clustering Algorithms, Neural Network Basics with Libraries, Model Performance Evaluation |
| CS3011 | Project-I | Project | 2 | Problem Identification and Scope Definition, Literature Survey and Background Research, Initial Design and Analysis, Prototyping and Preliminary Implementation, Technical Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4001 | Industrial Economics & Management | Humanities & Management Core | 2 | Industrial Organization and Market Structures, Production Theory and Cost Analysis, Managerial Decision Making, Project Management Techniques, Quality Control and Productivity |
| PE-II | Program Elective – II | Program Elective | 3 | Varies based on student choice from approved departmental list |
| PE-III | Program Elective – III | Program Elective | 3 | Varies based on student choice from approved departmental list |
| OE-II | Open Elective – II | Open Elective | 3 | Varies based on student choice from approved institute-wide list |
| CS4003 | Project – II | Project | 4 | Advanced Research and Development, System Design and Integration, Experimentation and Data Analysis, Intermediate Report and Presentation, Problem Solving with Complex Systems |
| CS4005 | Industrial Training/Internship/Practical Training | Industrial Training | 2 | Real-world Industry Project Experience, Professional Skills Development, Mentorship and Industry Best Practices, Technical Report Writing, Presentation of Work Done |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE-IV | Program Elective – IV | Program Elective | 3 | Varies based on student choice from approved departmental list |
| PE-V | Program Elective – V | Program Elective | 3 | Varies based on student choice from approved departmental list |
| CS4002 | Project – III | Project | 8 | Comprehensive Project Execution, Research Publication and Innovation, Entrepreneurial Idea Development, Dissertation Writing, Viva-Voce and Project Defense |
