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B-TECH-M-TECH in Computer Science Engineering at Kalinga Institute of Industrial Technology
Khordha, Odisha
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About the Specialization
What is Computer Science Engineering at Kalinga Institute of Industrial Technology Khordha?
This B.Tech + M.Tech Computer Science Engineering program at Kalinga Institute of Industrial Technology (KIIT) focuses on providing an in-depth understanding of computing principles, from fundamental algorithms to advanced AI and cloud technologies. Tailored to meet the escalating demands of India''''s booming IT sector, it emphasizes strong theoretical foundations coupled with practical application, preparing students for innovative roles in software development, data science, and emerging technologies.
Who Should Apply?
This integrated program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics and problem-solving, aiming for accelerated career growth in technology. It also suits those looking to gain a competitive edge in India''''s tech job market by acquiring both undergraduate breadth and postgraduate specialization in a single, cohesive five-year structure, preparing them for advanced roles in Indian companies.
Why Choose This Course?
Graduates emerge as highly skilled full-stack developers, data scientists, AI/ML engineers, or cybersecurity experts. With an average starting salary in India ranging from INR 6-12 LPA for freshers and significantly higher for experienced professionals, this program provides a robust foundation for leadership roles in Indian MNCs and startups, aligning with industry certifications in cloud computing or data science.
Student Success Practices
Foundation Stage
Master Core Programming & Problem-Solving- (Semester 1-2)
Dedicate consistent time to practice coding problems on platforms like HackerRank, LeetCode (easy level), and GeeksforGeeks, focusing on data types, control structures, and basic algorithms. Participate in college-level coding challenges to build a strong logical foundation.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Competitive Programming Clubs
Career Connection
This builds the essential logical foundation required for clearing technical interviews and developing efficient code, critical for entry-level software development roles in India''''s competitive tech industry.
Excel in Engineering Fundamentals- (Semester 1-2)
Solidify understanding in core science and engineering subjects like Mathematics, Physics, Chemistry, and Basic Electrical/Electronics Engineering. Utilize online tutorials from NPTEL or Khan Academy and form study groups for collaborative peer learning and problem-solving.
Tools & Resources
NPTEL lectures, Khan Academy, Subject-specific textbooks, Peer study groups
Career Connection
Provides a strong analytical base for advanced engineering courses and demonstrates academic rigor, beneficial for higher studies or specialized engineering roles within Indian and global organizations.
Develop Effective Communication & Professional Etiquette- (Semester 1-2)
Actively participate in English for Communication classes, join debate or public speaking clubs, and practice presenting ideas clearly and concisely. Learn basic professional email writing and formal communication protocols essential in corporate settings.
Tools & Resources
College communication workshops, Toastmasters International clubs, Online business writing courses
Career Connection
Essential for excelling in interviews, facilitating effective team collaboration, interacting with clients, and advancing into leadership roles within Indian and multinational companies operating in India.
Intermediate Stage
Build a Strong Data Structures & Algorithms (DSA) Foundation- (Semester 3-5)
Deeply understand and implement various data structures (e.g., arrays, linked lists, trees, graphs) and algorithms (e.g., sorting, searching, dynamic programming). Solve a consistent number of medium-to-hard problems on coding platforms regularly.
Tools & Resources
InterviewBit, Codeforces, TopCoder, Cracking the Coding Interview book
Career Connection
This is crucial for clearing technical rounds of interviews at top-tier product-based companies and high-paying startups in India, securing core software development roles.
Engage in Mini-Projects & Open Source Contributions- (Semester 4-5)
Start working on small individual or group projects, such as building a simple web application or a database management system. Explore contributing to open-source projects on GitHub, even with minor bug fixes or documentation improvements, to gain practical experience.
Tools & Resources
GitHub, GitLab, College project labs, Hacktoberfest
Career Connection
Builds a practical portfolio, demonstrates applied skills beyond theoretical knowledge, and provides real-world development experience, significantly enhancing a resume during internships and placement drives.
Explore Specialization Areas & Internships- (Semester 5 (during summer breaks after Sem 4 and Sem 5))
Attend workshops and guest lectures on emerging technologies like AI/ML, Cloud Computing, and Cybersecurity to identify areas of interest. Actively seek summer internships, even unpaid initially, to gain early industry exposure and understand corporate workflows.
Tools & Resources
LinkedIn, Internshala, Company career pages, University career services
Career Connection
Helps in making informed career choices, builds valuable industry networks, and often leads to pre-placement offers or full-time opportunities, especially beneficial for navigating the Indian job market effectively.
Advanced Stage
Undertake Significant Projects & Research- (Semester 7-8 (B.Tech), Semester 9-10 (M.Tech thesis))
Focus on a major project (B.Tech capstone or M.Tech thesis) that aims to solve a complex real-world problem or contribute to a research area. Aim for publication in reputable conferences or journals if pursuing a research-oriented career.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), University research labs, Faculty mentors
Career Connection
Showcases deep technical expertise, advanced problem-solving abilities, and innovation, which are highly valued for advanced engineering roles, R&D positions, and further academic pursuits in India and globally.
Intensive Placement Preparation & Networking- (Semester 7-8)
Polish your resume/CV, meticulously practice aptitude tests, technical interviews covering DSA, OS, DBMS, and CN, and HR interviews. Network extensively with alumni and attend career fairs and mock interview sessions organized by the college placement cell.
Tools & Resources
Placement cell resources, Glassdoor, LinkedIn, Mock interview platforms
Career Connection
Directly translates into successful placements with top companies in India, securing desired roles and competitive salary packages, maximizing return on education investment.
Advanced Skill Acquisition & Certification- (Semester 8-10 (B.Tech completion, M.Tech specialization))
Identify and deep dive into advanced courses or electives that align with your career goals, such as Deep Learning, Distributed Systems, or Cybersecurity. Pursue relevant industry certifications (e.g., AWS Certified Developer, Google Cloud Engineer) to validate specialized expertise.
Tools & Resources
Coursera, Udemy, edX, A Cloud Guru, Specific vendor certification portals
Career Connection
Provides a significant competitive edge for specialized M.Tech roles, opens doors to niche tech domains, and supports higher salary negotiations in the rapidly evolving Indian technology market.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship. Minimum 60% marks in 10+2 or equivalent examination. The candidate should have studied in English medium.
Duration: 5 years / 10 semesters
Credits: 227 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CH1001 | Applied Chemistry | Core | 3 | Chemical Bonding and Structure, Electrochemistry and Corrosion, Reaction Kinetics and Catalysis, Polymer Chemistry, Materials Science |
| MA1001 | Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Functions of Several Variables, Vector Calculus |
| EE1001 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Transformers, Electrical Machines, Power Systems Basics |
| EE1091 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Measurement of Electrical Parameters, Characteristics of DC Machines, AC Circuit Analysis, Power Measurement |
| ME1091 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Views, Sectional Views, Development of Surfaces, AutoCAD Basics |
| HS1001 | English for Communication | Core | 2 | Grammar and Usage, Vocabulary Building, Reading Comprehension, Writing Skills, Basic Oral Communication |
| CS1001 | Programming for Problem Solving | Core | 3 | Introduction to Programming in C, Data Types and Operators, Control Structures, Functions and Arrays, Pointers and Strings |
| CS1091 | Programming for Problem Solving Lab | Lab | 1 | C Program Implementation, Conditional Statements and Loops, Function Calls and Recursion, Array and String Manipulations, Pointer Operations |
| BS1001 | Environmental Science | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Sustainable Development, Environmental Management |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PH1001 | Applied Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Semiconductor Physics, Electromagnetism |
| PH1091 | Applied Physics Lab | Lab | 1 | Experiments on Optics, Semiconductor Devices, Magnetic Properties, Laser Diffraction, Measurement Techniques |
| MA1002 | Mathematics - II | Core | 4 | Linear Algebra, Ordinary Differential Equations, Laplace Transforms, Fourier Series, Complex Numbers |
| EC1001 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Transistors (BJT, FET), Rectifiers and Filters, Amplifiers, Operational Amplifiers |
| EC1091 | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Transistor Amplifier Design, Rectifier Circuits, Oscillator Circuits, Op-Amp Applications |
| CE1001 | Engineering Mechanics | Core | 3 | Force Systems, Equilibrium of Rigid Bodies, Friction, Work, Energy and Power, Simple Machines |
| ME1001 | Manufacturing Process | Core | 3 | Casting Processes, Machining Processes, Welding and Joining, Forming Processes, Newer Manufacturing Techniques |
| ME1091 | Manufacturing Process Lab | Lab | 1 | Foundry Shop, Welding Shop, Machine Shop, Fitting Shop, Sheet Metal Shop |
| HS1002 | Communicative English | Core | 2 | Public Speaking, Presentation Skills, Group Discussion Techniques, Interview Skills, Report Writing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2001 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| CS2091 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Practice |
| CS2002 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Exception Handling |
| CS2092 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Polymorphism Exercises, Operator Overloading, Virtual Functions, File Handling |
| MA2001 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory and Relations, Functions and Recurrence Relations, Graph Theory, Combinatorics |
| EC2014 | Analog & Digital Electronics | Core | 3 | Analog Circuits Basics, Digital Logic Gates, Boolean Algebra and K-Maps, Combinational Circuits, Sequential Circuits |
| EC2094 | Analog & Digital Electronics Lab | Lab | 1 | Logic Gate Implementation, Combinational Logic Design, Flip-Flops and Counters, Multivibrators, ADC/DAC Circuits |
| HS2001 | Economics for Engineers | Core | 3 | Demand and Supply, Market Structures, Macroeconomics Indicators, Cost Analysis and Break-Even, Project Evaluation Techniques |
| CS2003 | Operating Systems | Core | 4 | Process Management and Scheduling, Inter-process Communication, Memory Management, Virtual Memory, File Systems and I/O Management |
| CS2093 | Operating Systems Lab | Lab | 1 | Process Scheduling Algorithms, Deadlock Detection, Memory Allocation Algorithms, File System Calls, Shell Scripting |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2004 | Design and Analysis of Algorithms | Core | 4 | Algorithm Complexity Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS2094 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Greedy Algorithm Problems, Dynamic Programming Solutions, Graph Traversal Algorithms, Network Flow Problems |
| CS2005 | Database Management System | Core | 3 | ER Model and Relational Model, SQL and Relational Algebra, Normalization, Transaction Management, Concurrency Control and Recovery |
| CS2095 | Database Management System Lab | Lab | 1 | SQL Queries (DDL, DML), Database Design and ER Diagrams, Stored Procedures and Triggers, Database Connectivity, Transaction Implementation |
| CS2006 | Computer Organization and Architecture | Core | 3 | CPU Organization, Instruction Set Architecture, Memory Hierarchy, I/O Organization, Pipelining and Parallelism |
| CS2007 | Formal Language and Automata Theory | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability and Halting Problem |
| MA2002 | Probability and Statistics | Core | 4 | Probability Axioms and Theorems, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| HS2002 | Universal Human Values | Core | 2 | Ethics and Morality, Human Relationships, Understanding Harmony, Society and Nature, Professional Ethics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS3001 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS3091 | Compiler Design Lab | Lab | 1 | Lexer Implementation (Lex/Flex), Parser Implementation (Yacc/Bison), Syntax Tree Generation, Intermediate Code Generation, Symbol Table Management |
| CS3002 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| CS3092 | Computer Networks Lab | Lab | 1 | Socket Programming, Network Configuration, Routing Protocols Implementation, Client-Server Communication, Network Packet Analysis (Wireshark) |
| CS3003 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing, Software Project Management |
| CS3004 | Cyber Security | Core | 3 | Cryptography Basics, Network Security, Web Application Security, Malware and Attacks, Cyber Laws and Ethics |
| PE-I | Program Elective - I | Elective | 3 | Distributed Systems Concepts, Internet of Things Architecture, Mobile Computing Challenges, Machine Learning Fundamentals, Computer Graphics Basics |
| CS3081 | Technical Skill Development - I | Skill Development | 1 | Advanced C++/Java, Python Programming, Linux Shell Scripting, Version Control (Git), Competitive Programming Strategies |
| OE3001 | Open Elective - I | Open Elective | 3 | General topics from other engineering disciplines or humanities, Interdisciplinary concepts, Communication skills enhancement, Entrepreneurship fundamentals, Environmental studies |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS3005 | Artificial Intelligence | Core | 4 | Problem-Solving using Search, Knowledge Representation, Logical Reasoning, Introduction to Machine Learning, Natural Language Processing Basics |
| CS3095 | Artificial Intelligence Lab | Lab | 1 | Search Algorithm Implementation, Logic Programming (Prolog), Mini-Max Algorithm, Constraint Satisfaction Problems, Basic Machine Learning Models |
| CS3006 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, Big Data in Cloud |
| CS3096 | Cloud Computing Lab | Lab | 1 | Virtual Machine Setup, Cloud Platform Basics (AWS/Azure/GCP), Deploying Web Applications on Cloud, Storage Services, Cloud Monitoring |
| CS3007 | Data Mining and Data Warehousing | Core | 3 | Data Preprocessing, Data Warehousing and OLAP, Association Rule Mining, Classification Techniques, Clustering Algorithms |
| PE-II | Program Elective - II | Elective | 3 | Software Project Management, Advanced Database Systems, Information Retrieval, Ethical Hacking, Web Technologies |
| PE-III | Program Elective - III | Elective | 3 | Digital Image Processing, Real-Time Systems, Bioinformatics, Game Programming, Sensor Networks |
| CS3082 | Technical Skill Development - II | Skill Development | 1 | Front-end Development (HTML, CSS, JS), Back-end Frameworks (Node.js, Django), Mobile App Development (Android/iOS), Database Administration, DevOps Tools (Docker, Kubernetes) |
| OE3002 | Open Elective - II | Open Elective | 3 | Financial Management, Intellectual Property Rights, Principles of Management, Foreign Language, Soft Skills and Personality Development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4001 | Deep Learning | Core | 3 | Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Backpropagation and Optimization, Transfer Learning |
| CS4091 | Deep Learning Lab | Lab | 1 | TensorFlow/Keras Implementation, Image Classification with CNNs, Sequence Prediction with RNNs, Generative Adversarial Networks (GANs), Fine-tuning Pre-trained Models |
| CS4002 | Big Data Analytics | Core | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and its Components, NoSQL Databases, Stream Processing |
| CS4092 | Big Data Analytics Lab | Lab | 1 | Hadoop Installation and Commands, MapReduce Programming, Spark RDD Operations, Hive and Pig Scripting, MongoDB/Cassandra Operations |
| PE-IV | Program Elective - IV | Elective | 3 | Blockchain Technology, Cryptography and Network Security, Natural Language Processing, Robotics, Quantum Computing Fundamentals |
| PE-V | Program Elective - V | Elective | 3 | Embedded Systems, Digital Forensics, Pattern Recognition, Human-Computer Interaction, Parallel and Distributed Algorithms |
| OE4001 | Open Elective - III | Open Elective | 3 | Business Analytics, Cyber Law and Ethics, Project Management, Digital Marketing, Supply Chain Management |
| CS4081 | Project Stage - I | Project | 3 | Problem Identification, Literature Survey, System Design, Requirement Analysis, Project Proposal |
| CS4083 | Minor Project | Project | 2 | Small-scale System Development, Module Implementation, Testing and Debugging, Documentation, Presentation |
| CS4085 | Industrial Training / Internship | Practical | 2 | Industry Exposure, Application of Theoretical Knowledge, Teamwork and Professionalism, Report Writing, Presentation of Work Done |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE-VI | Program Elective - VI | Elective | 3 | Wireless Communication, High Performance Computing, Service Oriented Architecture, Computer Vision, Cloud Security |
| PE-VII | Program Elective - VII | Elective | 3 | Information Security Management, IoT Security, Data Visualization, Augmented and Virtual Reality, Green Computing |
| OE4002 | Open Elective - IV | Open Elective | 3 | Entrepreneurship Development, Total Quality Management, Disaster Management, Industrial Psychology, Cross-Cultural Communication |
| CS4082 | Project Stage - II | Project | 10 | System Implementation, Testing and Validation, Performance Analysis, Technical Report Writing, Project Defense and Presentation |
| CS4084 | Technical Skill Development - III | Skill Development | 1 | Interview Preparation, Resume Building, Soft Skills for Placements, Aptitude Test Strategies, Group Discussion Techniques |
| CS4086 | Comprehensive Viva | Viva Voce | 2 | Overall Subject Knowledge, Technical Communication, Problem Solving Ability, Current Industry Trends, Professional Aptitude |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS6001 | Advanced Data Structures & Algorithms | Core | 3 | Amortized Analysis, Advanced Tree Structures, Network Flow Algorithms, Randomized Algorithms, String Matching Algorithms |
| CS6091 | Advanced Data Structures & Algorithms Lab | Lab | 1 | Implementation of AVL/Red-Black Trees, Suffix Trees/Arrays, Network Flow Algorithms, Geometric Algorithms, Parallel Algorithm Design |
| CS6002 | Advanced Computer Architecture | Core | 3 | Pipelining and Superscalar Processors, Memory Hierarchy Design, Vector and Array Processors, Multiprocessors and Cache Coherence, Parallel Processing Architectures |
| CS6092 | Advanced Computer Architecture Lab | Lab | 1 | Processor Simulation, Cache Performance Analysis, Pipelining Implementation, Parallel Programming (OpenMP/MPI), Performance Benchmarking |
| CS6003 | Machine Learning | Core | 3 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning, Model Evaluation and Selection, Ensemble Methods |
| CS6093 | Machine Learning Lab | Lab | 1 | Scikit-learn for Classification, Clustering with K-Means, Linear Regression Models, Decision Tree Implementation, Cross-validation Techniques |
| PE-PG-I | PG Program Elective - I | Elective | 3 | Soft Computing Techniques, Wireless Sensor Networks, Big Data Technologies, Advanced Operating Systems, Distributed Computing |
| PE-PG-II | PG Program Elective - II | Elective | 3 | Information Security, Cloud Security, Natural Language Processing, Image and Video Processing, IoT and Cyber Physical Systems |
| RM6001 | Research Methodology & IPR | Core | 2 | Research Design and Methods, Data Collection and Analysis, Technical Report Writing, Intellectual Property Rights, Patent Filing and Copyright |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS6081 | Project Stage - III / Dissertation - I | Project | 6 | Advanced Problem Formulation, Detailed System Design, Implementation Strategy, Literature Review for Thesis, Initial Experimental Setup |
| PE-PG-III | PG Program Elective - III | Elective | 3 | Advanced Deep Learning Architectures, Reinforcement Learning, Blockchain and Cryptocurrency, Cyber Forensics, Cognitive Computing |
| PE-PG-IV | PG Program Elective - IV | Elective | 3 | Social Network Analysis, Bio-Inspired Computing, Multimedia Security, Quantum Machine Learning, Explainable AI |
| OE-PG | PG Open Elective | Open Elective | 3 | Interdisciplinary Research Methods, Advanced Communication Skills, Innovation and Entrepreneurship, Data Science for Business, Sustainable Technologies |
| CS6082 | Seminar | Core | 1 | Research Paper Presentation, Technical Communication Skills, Literature Survey Presentation, Review of Recent Trends, Question and Answer Session |
| CS6083 | Comprehensive Viva Voce | Viva Voce | 1 | Overall Program Knowledge, Research Aptitude, Problem-Solving Acumen, Industry Readiness, Communication and Presentation |
| CS6084 | M.Tech Thesis/Dissertation - II | Project | 12 | Advanced System Implementation, Rigorous Experimentation, Performance Evaluation, Thesis Writing and Documentation, Final Thesis Defense |
