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B-TECH in Computer Science And Engineering at Indian Institute of Technology Bhilai
Raipur, Chhattisgarh
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Technology Bhilai Raipur?
This Computer Science and Engineering program at Indian Institute of Technology Bhilai focuses on providing a strong foundation in core computer science concepts alongside exposure to emerging technologies. The curriculum is designed to foster critical thinking, problem-solving abilities, and innovation, making graduates well-equipped for the dynamic Indian IT sector. It emphasizes both theoretical understanding and practical application, preparing students for diverse roles in software development, data science, and research.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, logical reasoning, and a keen interest in computing. It caters to aspiring software engineers, data scientists, and researchers looking to contribute to India''''s technological advancements. Students aiming for leadership roles in tech companies or pursuing higher education in computer science will find this curriculum highly beneficial. A solid background in science and mathematics is a prerequisite.
Why Choose This Course?
Graduates of this program can expect to secure promising career paths in leading Indian and multinational companies, with entry-level salaries typically ranging from INR 8-15 LPA, escalating significantly with experience. They can pursue roles such as Software Developer, Data Analyst, Machine Learning Engineer, or Research Scientist. The comprehensive curriculum also prepares students for competitive exams like GATE for postgraduate studies and provides a strong base for entrepreneurial ventures within the booming Indian startup ecosystem.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time to mastering C/C++ programming fundamentals. Practice problem-solving on platforms like HackerRank and CodeChef to build strong logical thinking and coding skills. Attend programming workshops and participate in college-level coding contests.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Local programming clubs
Career Connection
A strong grasp of fundamentals is crucial for interviews and higher-level courses, directly impacting internship and placement opportunities in software development roles.
Build a Strong Mathematical Core- (Semester 1-3)
Pay close attention to Calculus, Linear Algebra, Probability, and Discrete Mathematics. These subjects form the backbone of advanced CS topics like Machine Learning and Algorithms. Utilize online resources and practice problems rigorously.
Tools & Resources
NPTEL courses, Khan Academy, MIT OpenCourseWare (OCW), Textbook exercises
Career Connection
Robust mathematical skills are essential for roles in data science, AI, and research, enabling a deeper understanding of complex algorithms.
Engage in Peer Learning and Group Projects- (Semester 1-2)
Form study groups to discuss complex topics and work collaboratively on assignments and mini-projects. Explaining concepts to peers solidifies your own understanding and develops teamwork skills, crucial for professional environments.
Tools & Resources
College library study rooms, WhatsApp/Discord groups, Collaborative coding platforms
Career Connection
Develops essential soft skills like communication and collaboration, highly valued by employers, and prepares for team-based industry projects.
Intermediate Stage
Undertake Practical Projects & Open Source Contributions- (Semester 3-5)
Apply theoretical knowledge by building practical projects in areas like Data Structures, Algorithms, Operating Systems, and DBMS. Explore open-source contributions to gain real-world development experience and showcase your skills.
Tools & Resources
GitHub, GitLab, Kaggle, VS Code, Relevant programming languages
Career Connection
Practical projects and open-source contributions significantly boost your resume, providing tangible evidence of your skills to recruiters for internships and full-time positions.
Seek Early Internships & Industry Exposure- (Semester 4-6)
Look for summer internships or part-time roles in tech companies, even if unpaid initially, to understand industry practices. Attend industry workshops, tech talks, and career fairs organized by the institution.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
Gains valuable industry insights, builds a professional network, and often leads to pre-placement offers, streamlining your entry into the job market.
Specialize through Electives and Certifications- (Semester 5-6)
Identify areas of interest (e.g., AI/ML, Cybersecurity, Cloud Computing) and choose relevant department electives. Supplement this with online certifications to deepen your knowledge and gain recognized credentials.
Tools & Resources
Coursera, edX, Udemy, NPTEL, AWS/Azure/Google Cloud certifications
Career Connection
Develops specialized skills highly sought after in niche tech roles, making you a more competitive candidate for targeted job profiles.
Advanced Stage
Focus on Placement Preparation & Competitive Coding- (Semester 6-8)
Intensify preparation for placements by practicing interview questions, aptitude tests, and competitive programming. Refine your resume, prepare a strong portfolio, and participate in mock interviews. Utilize platforms like LeetCode extensively.
Tools & Resources
LeetCode, InterviewBit, GeeksforGeeks interview section, College placement cell workshops
Career Connection
Directly prepares you for technical interviews, aptitude tests, and group discussions, maximizing your chances of securing a top-tier job offer.
Undertake a Comprehensive Final Year Project- (Semester 7-8)
Choose a challenging final year project that allows you to apply diverse skills and potentially contribute to research or solve a real-world problem. Work closely with faculty mentors and present your work professionally.
Tools & Resources
Academic research papers, Industry problem statements, Advanced software frameworks
Career Connection
A strong project showcases your problem-solving, design, and implementation abilities, serving as a powerful talking point in interviews and for potential research opportunities.
Network Actively and Seek Mentorship- (Semester 7-8)
Engage with alumni, faculty, and industry professionals through conferences, webinars, and networking events. Seek mentorship to gain insights into career paths, industry trends, and professional development strategies.
Tools & Resources
LinkedIn, Alumni networks, Professional conferences (e.g., ACM, IEEE), Department seminars
Career Connection
Expands professional opportunities, provides guidance for career decisions, and can open doors to referrals and leadership roles in your chosen field.
Program Structure and Curriculum
Eligibility:
- JEE Advanced based admission as per JoSAA guidelines for IITs. (Details not in curriculum document)
Duration: 8 semesters (4 years)
Credits: 151 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS101 | Introduction to Programming | Core | 4 | Introduction to Programming and C, Data Types, Operators and Expressions, Control Flow Statements, Functions and Recursion, Arrays, Pointers, Strings, Structures, Unions, File I/O |
| PH101 | Waves, Oscillations and Optics | Core | 3 | Oscillations and Waves, Electromagnetic Theory, Interference and Diffraction, Polarization, Waveguides, Optical Fibres, Lasers |
| MA101 | Calculus | Core | 4 | Functions of one variable, Sequences and Series, Functions of several variables, Partial Derivatives, Jacobian, Multiple Integrals, Vector Calculus |
| BT101 | Introduction to Biology | Core | 3 | Origin and Evolution of Life, Biomolecules and Cell Biology, Genetics and Molecular Biology, Physiology and Organ Systems, Ecology and Environment, Biotechnology Applications |
| CE101 | Engineering Graphics | Core | 3 | Introduction to Engineering Graphics, Orthographic Projections, Sectional Views, Isometric Projections, AutoCAD basics, Machine Drawing |
| CS102 | Programming Lab | Lab | 2 | Programming in C, Control Structures, Functions and Arrays, Pointers and Strings, Structures and File Handling, Debugging and Testing |
| PH102 | Physics Lab | Lab | 2 | Measurements and Error Analysis, Optics Experiments, Mechanics Experiments, Electromagnetism Experiments, Modern Physics Experiments, Data Analysis and Reporting |
| CS103 | Computer Literacy Program | Lab | 1 | Operating System basics, Productivity tools (MS Office), Internet and Web technologies, Basic Network Concepts, Cyber Security Awareness, Digital Collaboration Tools |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CY101 | Engineering Chemistry | Core | 3 | Chemical Bonding and Molecular Structure, Chemical Thermodynamics, Electrochemistry, Organic Chemistry, Coordination Chemistry, Polymer Chemistry and Nanomaterials |
| EE101 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers and Machines, Power Systems, Semiconductor Devices, Digital Logic Basics |
| MA102 | Linear Algebra | Core | 4 | Vector Spaces, Linear Transformations, Matrices and Determinants, Eigenvalues and Eigenvectors, Inner Product Spaces, Quadratic Forms |
| ME101 | Engineering Mechanics | Core | 3 | Force Systems, Equilibrium of Rigid Bodies, Friction, Centroids and Moments of Inertia, Kinematics of Particles, Work, Energy, Impulse, Momentum |
| HS101 | English for Academic Purposes | Core | 2 | Academic Reading and Writing, Grammar and Vocabulary for Academics, Presentation Skills, Report Writing, Critical Thinking, Group Discussion Skills |
| CY102 | Chemistry Lab | Lab | 2 | Volumetric Analysis, Instrumental Analysis, Synthesis of Compounds, Water Analysis, Polymer Characterization, Spectroscopic Techniques |
| EE102 | Basic Electrical Engineering Lab | Lab | 2 | Verification of Circuit Laws, Thevenin''''s/Norton''''s Theorems, AC Circuit Analysis, Transformers Experiments, Diode Characteristics, Transistor Amplifier Circuits |
| ME102 | Workshop Practice | Lab | 2 | Manufacturing Processes, Carpentry, Fitting, Welding, Machining Operations, Sheet Metal Work, Foundry Practice, Safety in Workshop |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS201 | Data Structures | Core | 3 | Arrays, Stacks, Queues, Linked Lists, Trees and Binary Search Trees, Heaps and Priority Queues, Graphs and Graph Algorithms, Hashing and Collision Resolution |
| CS202 | Computer Organization and Architecture | Core | 3 | Processor Design, Instruction Set Architecture, Data Path and Control Unit, Memory Hierarchy (Cache, Virtual Memory), Pipelining, I/O Organization |
| MA201 | Probability and Statistics | Core | 4 | Probability Theory, Random Variables and Distributions, Joint Distributions, Parameter Estimation, Hypothesis Testing, Regression and Correlation |
| PH201 | Introduction to Quantum Mechanics | Core | 3 | Wave-Particle Duality, Schrödinger Equation, Postulates of Quantum Mechanics, Quantum Operators, Hydrogen Atom, Perturbation Theory |
| ES201 | Environmental Studies | Core | 2 | Ecosystems and Biodiversity, Natural Resources, Environmental Pollution, Social Issues and Environment, Sustainable Development, Environmental Ethics |
| CS203 | Data Structures Lab | Lab | 2 | Implementation of Linked Lists, Stack and Queue applications, Tree traversals, Graph algorithms (DFS, BFS), Sorting and Searching algorithms, Hashing techniques |
| CS204 | Computer Organization Lab | Lab | 2 | Digital Logic Gates, Combinational Circuits, Sequential Circuits, Assembly Language Programming, Processor Simulation, Memory Organization simulation |
| HSXXX | Humanities Elective I | Elective | 1 | Varies based on chosen elective |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS205 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis and Complexity, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| CS206 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems, I/O Systems and Deadlocks |
| CS207 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Counting and Combinatorics, Graph Theory, Boolean Algebra, Recurrence Relations |
| EC201 | Analog and Digital Electronics | Core | 3 | Diode Circuits, BJT and MOSFET Amplifiers, Operational Amplifiers, Digital Logic Families, Combinational Logic, Sequential Logic |
| HSXXX | Humanities Elective II | Elective | 2 | Varies based on chosen elective |
| CS208 | Algorithms Lab | Lab | 2 | Implementation of Divide and Conquer, Dynamic Programming problems, Greedy algorithms, Graph traversals and shortest paths, Network flow problems, Complexity analysis in practice |
| CS209 | Operating Systems Lab | Lab | 2 | Shell Programming, Process management (fork, exec), Inter-process communication, CPU scheduling algorithms, Memory management simulation, File system calls |
| EC202 | Analog and Digital Electronics Lab | Lab | 1 | Diode and Transistor characteristics, Op-Amp applications, Logic Gates implementation, Combinational circuit design, Sequential circuit design, ADC/DAC experiments |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability and Complexity Classes |
| CS302 | Database Management Systems | Core | 3 | Database Architecture, Relational Model and Algebra, SQL and Query Optimization, ER Modeling and Normalization, Transaction Management, Concurrency Control and Recovery |
| CS303 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Project Management, Agile Methodologies |
| CS304 | Artificial Intelligence | Core | 3 | Introduction to AI, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing, Neural Networks Basics |
| MA301 | Numerical Methods | Core | 3 | Solution of Algebraic Equations, Interpolation and Approximation, Numerical Differentiation, Numerical Integration, Numerical Solutions of ODEs, Linear Systems of Equations |
| CS305 | Database Management Systems Lab | Lab | 2 | SQL DDL and DML commands, Complex Queries and Joins, Views and Stored Procedures, JDBC/ODBC Connectivity, Database Design and Normalization, Transaction management in SQL |
| CS306 | Artificial Intelligence Lab | Lab | 2 | Python for AI, Search algorithms implementation, Logic programming (Prolog), Machine Learning Libraries (Scikit-learn), Neural Network implementation, Mini-projects in AI |
| PC301 | Professional Communication | Core | 1 | Advanced Presentation Skills, Technical Report Writing, Business Correspondence, Interview Skills, Cross-cultural Communication, Ethics in Communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS307 | Computer Networks | Core | 3 | Network Topologies and Models, Physical and Data Link Layers, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols, Network Security Basics |
| CS308 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Runtime Environments |
| CS309 | Microprocessors and Microcontrollers | Core | 3 | 8085/8086 Microprocessor Architecture, Assembly Language Programming, Interfacing Techniques, Microcontroller Architecture (e.g., PIC/Arduino), Embedded Systems Concepts, Peripheral Interfacing |
| HSXXX | Humanities Elective III | Elective | 2 | Varies based on chosen elective |
| CSXXX | Department Elective I | Elective | 3 | Varies based on chosen elective (e.g., Machine Learning, Cryptography) |
| CS310 | Computer Networks Lab | Lab | 2 | Network Commands and Tools, Socket Programming, Network Configuration (Cisco Packet Tracer), Routing Protocols Implementation, TCP/UDP applications, Network traffic analysis |
| CS311 | Microprocessors and Microcontrollers Lab | Lab | 2 | 8085/8086 Assembly Programming, Interfacing I/O devices, Microcontroller programming (Arduino/PIC), Sensor and Actuator Interfacing, Embedded system design, Real-time applications |
| CS312 | Mini Project | Project | 0 | Problem identification, Literature Survey, System Design, Implementation and Testing, Documentation, Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Cryptography and Network Security | Core | 3 | Classical Cryptography, Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and Intrusion Detection Systems |
| CS402 | Distributed Systems | Core | 3 | Architectures of Distributed Systems, Interprocess Communication, Distributed Synchronization, Consistency and Replication, Fault Tolerance, Distributed File Systems |
| HSXXX | Humanities Elective IV | Elective | 2 | Varies based on chosen elective |
| CSXXX | Department Elective II | Elective | 3 | Varies based on chosen elective (e.g., Cloud Computing, Big Data) |
| OE4XX | Open Elective I | Elective | 3 | Varies based on chosen elective from other departments |
| CS403 | Distributed Systems Lab | Lab | 2 | RPC and RMI programming, Distributed mutual exclusion, Clock synchronization, Distributed consensus algorithms, Message passing interfaces, Cloud platform basic services |
| CS404 | Project Stage - I | Project | 0 | Problem Statement Refinement, Detailed Design Document, Initial Implementation, Experimental Setup, Interim Report, Project Planning and Management |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSXXX | Department Elective III | Elective | 3 | Varies based on chosen elective (e.g., Internet of Things, Deep Learning) |
| CSXXX | Department Elective IV | Elective | 3 | Varies based on chosen elective (e.g., Computer Graphics, Parallel Computing) |
| OE4XX | Open Elective II | Elective | 3 | Varies based on chosen elective from other departments |
| CS405 | Project Stage - II | Project | 6 | Advanced Implementation, Extensive Testing and Evaluation, Results Analysis, Final Report Writing, Project Presentation and Viva-Voce, Research Paper Writing (optional) |
