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B-TECH in Computer Science Engineering at National Institute of Technology Karnataka, Surathkal
Dakshina Kannada, Karnataka
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About the Specialization
What is Computer Science & Engineering at National Institute of Technology Karnataka, Surathkal Dakshina Kannada?
This Computer Science & Engineering (CSE) program at NITK Mangaluru focuses on a robust blend of theoretical foundations and practical application, preparing students for the dynamic tech landscape. Rooted in strong mathematical and algorithmic principles, it equips future engineers with expertise in areas like artificial intelligence, data science, cybersecurity, and software development, directly addressing the growing demand for skilled tech professionals in the Indian industry. The program''''s emphasis on both core competencies and emerging technologies sets it apart.
Who Should Apply?
This program is ideal for high school graduates with strong analytical skills and a passion for problem-solving through technology, aspiring to build a career in software, research, or product development. It caters to those seeking entry into India''''s booming IT sector, including roles in top tech firms and innovative startups. While primarily for freshers, the rigorous curriculum also benefits those looking to deepen their technical understanding for advanced studies or entrepreneurship.
Why Choose This Course?
Graduates of this program can expect to secure diverse career paths in India, including Software Developer, Data Scientist, AI/ML Engineer, Cybersecurity Analyst, and Cloud Architect. Entry-level salaries typically range from INR 7-15 LPA, with experienced professionals earning significantly more, especially in major tech hubs. The strong foundational knowledge and exposure to cutting-edge technologies foster rapid growth trajectories within Indian companies and prepare students for global opportunities and professional certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice core programming concepts (C/C++, Java) taught in labs. Focus on data types, control flow, functions, arrays, and basic algorithms. Regularly solve problems to build logic and confidence.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Online tutorials, Course textbooks
Career Connection
Strong fundamentals are the bedrock for all advanced CS topics and are heavily tested in technical interviews for entry-level roles.
Develop Strong Mathematical Aptitude- (Semester 1-2)
Pay close attention to Engineering Mathematics courses. Practice problem-solving rigorously to build analytical skills. These courses provide the abstract reasoning necessary for algorithms, data science, and theoretical computer science.
Tools & Resources
Khan Academy, NPTEL lectures, University textbook problems, Peer study groups
Career Connection
Essential for understanding complex algorithms, machine learning models, and quantitative roles in finance or data analytics.
Engage in Interdisciplinary Workshops & Clubs- (Semester 1-2)
Participate actively in workshops on topics like IoT, Robotics, or basic electronics, even outside your core CSE subjects. Join college clubs (e.g., coding clubs, robotics clubs) to explore diverse interests and learn from peers.
Tools & Resources
College workshops, Student technical clubs, Departmental fests
Career Connection
Broadens perspective, encourages innovation, and develops teamwork and communication skills vital for cross-functional industry roles.
Intermediate Stage
Build a Strong Data Structures & Algorithms Foundation- (Semester 3-4)
Dedicate significant time to mastering Data Structures and Algorithms (DSA). Implement various structures and algorithms from scratch in different languages. Practice competitive programming to enhance problem-solving speed and efficiency.
Tools & Resources
CodeChef, TopCoder, HackerEarth, InterviewBit, CLRS (textbook)
Career Connection
DSA is critical for clearing technical interviews at product-based companies and forms the core of efficient software development.
Undertake Mini-Projects and Open Source Contributions- (Semester 4-5)
Apply classroom knowledge by working on mini-projects, either individually or in small teams. Start contributing to open-source projects on platforms like GitHub to gain practical coding experience and exposure to real-world software development practices.
Tools & Resources
GitHub, GitLab, Stack Overflow, Project-based learning platforms
Career Connection
Develops practical skills, builds a portfolio, and demonstrates initiative, significantly boosting internship and placement prospects.
Explore Electives and Specializations- (Semester 5)
Strategically choose professional electives that align with your emerging interests (e.g., AI/ML, Cybersecurity, Data Science). Delve deeper into these areas through online courses, certifications, and reading research papers.
Tools & Resources
Coursera, edX, NPTEL, Udemy, Specialized blogs and journals
Career Connection
Allows for early specialization, making you a more attractive candidate for specific roles and industries, potentially leading to better internship and job offers.
Advanced Stage
Secure and Excel in Internships- (Semester 6-7)
Actively seek internships at reputed companies during summer breaks or dedicated internship periods (Semester 7). Focus on gaining hands-on experience, networking with professionals, and demonstrating your skills in a professional environment.
Tools & Resources
College placement cell, LinkedIn, Internshala, Company career pages
Career Connection
Internships are often the direct path to pre-placement offers (PPOs) and provide invaluable industry exposure, making you job-ready.
Undertake a Comprehensive Major Project- (Semester 7-8)
Choose a challenging major project (Part I & II) that involves significant design, implementation, and research. Work closely with faculty mentors and integrate learnings from various courses. Aim for a publishable outcome or a viable product prototype.
Tools & Resources
Research papers, Academic databases, Collaboration tools, Version control systems
Career Connection
Showcases advanced problem-solving, project management, and specialized technical skills, which are highly valued by recruiters for core engineering roles.
Focus on Placement Preparation and Soft Skills- (Semester 7-8)
Start intensive placement preparation, including mock interviews, aptitude tests, and resume building. Simultaneously, work on improving soft skills like communication, leadership, and teamwork through workshops, presentations, and group activities.
Tools & Resources
Placement cell workshops, Career counselors, Interview prep platforms, Public speaking clubs
Career Connection
Essential for converting technical knowledge into successful job offers, ensuring you can articulate your abilities effectively to potential employers.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics, Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Technical Vocational subject with at least 45% marks (40% for SC/ST/PwD) in these subjects taken together. Admission through JEE Main.
Duration: 8 semesters / 4 years
Credits: 157 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA110 | Engineering Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transforms, Vector Calculus |
| CY110 | Engineering Chemistry | Core | 3 | Atomic structure & bonding, Thermodynamics, Electrochemistry, Organic reactions, Polymer chemistry |
| CY111 | Engineering Chemistry Laboratory | Lab | 1 | Volumetric analysis, Instrumental analysis, Organic preparations, Chemical Kinetics |
| PH110 | Engineering Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers, Optics, Electromagnetism |
| PH111 | Engineering Physics Laboratory | Lab | 1 | Optics experiments, Electronics experiments, Mechanics experiments |
| CS110 | Computer Programming | Core | 3 | C Programming basics, Control structures, Functions, Arrays, Pointers, Structures |
| CS111 | Computer Programming Laboratory | Lab | 1 | C programming exercises, Debugging, Problem solving |
| ME110 | Engineering Graphics | Core | 2 | Orthographic projections, Isometric views, Sectional views, AutoCAD basics |
| CO110 | Professional Communication | Core | 2 | Technical writing, Oral communication, Presentation skills, Group discussions |
| WS110 | Workshop Practice | Lab | 1 | Carpentry, Welding, Fitting, Sheet Metal, Foundry |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA111 | Engineering Mathematics - II | Core | 4 | Linear Algebra, Multiple Integrals, Vector Calculus applications, Complex Analysis, Probability & Statistics |
| EE110 | Elements of Electrical Engineering | Core | 3 | DC & AC Circuits, Transformers, Motors, Generators, Power systems |
| EC110 | Elements of Electronics Engineering | Core | 3 | Diodes, Transistors, Rectifiers, Amplifiers, Digital logic gates |
| EE111 | Elements of Electrical Engineering Laboratory | Lab | 1 | Basic circuit experiments, Verification of theorems, Measurement of electrical quantities |
| EC111 | Elements of Electronics Engineering Laboratory | Lab | 1 | Diode & Transistor characteristics, Rectifier circuits, Logic gates |
| ME111 | Engineering Mechanics | Core | 3 | Statics, Dynamics, Friction, Work-Energy, Kinematics, Kinetics |
| EV110 | Environmental Studies | Core | 2 | Ecosystems, Biodiversity, Environmental pollution, Renewable energy, Sustainable development |
| ID110 | Design Engineering | Core | 2 | Design process, Problem identification, Ideation, Prototyping, Design thinking |
| HSxxx | Humanity Elective - I | Elective | 3 | Varies based on elective choice |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA200 | Engineering Mathematics - III | Core | 4 | Fourier Series, Partial Differential Equations, Complex Analysis, Probability distributions, Statistical inference |
| CS200 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hashing |
| CS201 | Data Structures Laboratory | Lab | 1 | Implementation of data structures, Algorithm analysis |
| CS202 | Object Oriented Programming | Core | 3 | Classes & Objects, Inheritance, Polymorphism, Abstraction, Exception Handling, Templates |
| CS203 | Object Oriented Programming Laboratory | Lab | 1 | OOPs concepts implementation in C++/Java |
| EC210 | Digital Logic Design | Core | 3 | Boolean algebra, Logic gates, Combinational circuits, Sequential circuits, State machines |
| EC211 | Digital Logic Design Laboratory | Lab | 1 | Implementation of logic circuits using ICs, Verilog HDL basics |
| HSxxx | Humanity Elective - II | Elective | 3 | Varies based on elective choice |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS250 | Design & Analysis of Algorithms | Core | 3 | Algorithm analysis, Sorting, Searching, Greedy algorithms, Dynamic programming, Graph algorithms, NP-completeness |
| CS251 | Design & Analysis of Algorithms Laboratory | Lab | 1 | Implementation of algorithms, Performance analysis |
| CS252 | Database Management Systems | Core | 3 | Relational model, SQL, Normalization, Transactions, Concurrency control, Recovery |
| CS253 | Database Management Systems Laboratory | Lab | 1 | SQL queries, Database design, Application development |
| CS254 | Operating Systems | Core | 3 | Process management, CPU scheduling, Memory management, Virtual memory, File systems, I/O systems |
| CS255 | Operating Systems Laboratory | Lab | 1 | Shell scripting, System calls, Process/thread programming |
| EC250 | Microprocessors & Microcontrollers | Core | 3 | 8086/ARM architecture, Assembly language, Interfacing, Peripherals, Embedded systems |
| EC251 | Microprocessors & Microcontrollers Laboratory | Lab | 1 | Assembly programming, Interfacing with I/O devices |
| HSxxx | Humanity Elective - III | Elective | 3 | Varies based on elective choice |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS300 | Computer Networks | Core | 3 | Network models, Physical layer, Data link layer, Network layer, Transport layer, Application layer, Network security |
| CS301 | Computer Networks Laboratory | Lab | 1 | Network configuration, Socket programming, Protocol implementation |
| CS302 | Theory of Computation | Core | 3 | Finite Automata, Regular expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability |
| CS303 | Software Engineering | Core | 3 | Software development life cycle, Requirements engineering, Design, Testing, Project management, Agile methodologies |
| CS304 | Compiler Design | Core | 3 | Lexical analysis, Syntax analysis, Semantic analysis, Intermediate code generation, Code optimization, Target code generation |
| CS305 | Compiler Design Laboratory | Lab | 1 | Lexer/Parser implementation, Compiler phases |
| CS3XX | Professional Elective - I | Elective | 3 | Varies based on elective choice (e.g., Cloud Computing, Data Mining, Machine Learning) |
| OE3XX | Open Elective - I | Elective | 3 | Varies based on elective choice |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS350 | Artificial Intelligence | Core | 3 | Search algorithms, Knowledge representation, Logic, Planning, Machine Learning fundamentals, Expert systems |
| CS351 | Artificial Intelligence Laboratory | Lab | 1 | AI algorithms implementation, Machine learning libraries |
| CS352 | Cryptography & Network Security | Core | 3 | Symmetric/Asymmetric encryption, Hash functions, Digital signatures, Certificates, Network security protocols, Firewalls |
| CS353 | Web Technologies | Core | 3 | HTML, CSS, JavaScript, Server-side scripting, Web frameworks, REST APIs, Database connectivity |
| CS354 | Web Technologies Laboratory | Lab | 1 | Web development projects, Full-stack implementation |
| CS355 | Mini Project | Project | 2 | Project planning, Design, Implementation, Testing, Documentation |
| CS3XX | Professional Elective - II | Elective | 3 | Varies based on elective choice (e.g., Big Data Analytics, Deep Learning, Game Programming) |
| OE3XX | Open Elective - II | Elective | 3 | Varies based on elective choice |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS400 | Internship | Project | 4 | Industrial training, Project execution, Report writing, Presentation |
| CS401 | Major Project - Part I | Project | 4 | Problem definition, Literature survey, Design, Methodology, Initial implementation |
| CS402 | High Performance Computing | Core | 3 | Parallel architectures, Distributed systems, MPI, OpenMP, GPU computing, Cloud computing |
| CS4XX | Professional Elective - III | Elective | 3 | Varies based on elective choice (e.g., Blockchain Technology, Cyber Forensics, Real-time Systems) |
| CS4XX | Professional Elective - IV | Elective | 3 | Varies based on elective choice (e.g., Virtual Reality, Augmented Reality, Advanced Machine Learning) |
| OE4XX | Open Elective - III | Elective | 3 | Varies based on elective choice |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS450 | Major Project - Part II | Project | 8 | Advanced implementation, Testing, Evaluation, Optimization, Final report, Presentation |
| CS4XX | Professional Elective - V | Elective | 3 | Varies based on elective choice (e.g., Security Audit & Assessment, IoT Security, Computational Biology) |
| CS4XX | Professional Elective - VI | Elective | 3 | Varies based on elective choice (e.g., Data Visualization, Mobile Application Development, Multi-core Architecture) |
| OE4XX | Open Elective - IV | Elective | 3 | Varies based on elective choice |
