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B-TECH in Computer Science And Engineering at Indian Institute of Technology Tirupati
Tirupati, Andhra Pradesh
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Technology Tirupati Tirupati?
This B.Tech Computer Science and Engineering program at IIT Tirupati focuses on building a strong foundation in core computer science principles, spanning algorithms, data structures, operating systems, and network security. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing practical applications and problem-solving. It integrates theoretical knowledge with hands-on laboratory experience, preparing students for diverse roles in software development and advanced computing fields.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics and logical reasoning, seeking entry into high-tech sectors in India. It caters to fresh 10+2 graduates who have excelled in competitive exams like JEE Advanced. The program also benefits individuals keen on research and innovation, fostering a mindset for continuous learning and adaptation to new technologies prevalent in the dynamic Indian tech landscape.
Why Choose This Course?
Graduates of this program can expect to secure roles as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects in top Indian and multinational companies. Entry-level salaries typically range from INR 8-20 LPA, with significant growth potential. The program aligns with industry certifications, enhancing employability in areas like full-stack development, cloud computing, and advanced analytics, crucial for India''''s digital transformation.
Student Success Practices
Foundation Stage
Master Core Programming & Data Structures- (Semester 1-2)
Dedicate significant time to fundamental programming concepts (C/C++, Python) and data structures. Actively solve problems on platforms like HackerRank, LeetCode, and GeeksforGeeks to build strong logical and algorithmic skills. Participate in university coding contests.
Tools & Resources
GeeksforGeeks, HackerRank, LeetCode, Jupyter Notebooks, VS Code
Career Connection
A strong grasp of these fundamentals is crucial for cracking technical interviews at product-based companies and forms the bedrock for advanced CS concepts.
Develop Strong Academic Study Habits- (Semester 1-2)
Attend all lectures and tutorials diligently. Form study groups with peers to discuss complex topics and clarify doubts. Utilize office hours with professors and TAs for deeper understanding. Focus on understanding concepts rather than rote memorization.
Tools & Resources
Academic textbooks, Lecture notes, Peer study groups, Professor office hours
Career Connection
Consistent academic performance builds a strong foundation, leading to better project opportunities and a comprehensive understanding essential for a successful career.
Engage in Early Project-Based Learning- (Semester 1-2)
Start working on small personal projects or open-source contributions. Apply learned concepts from courses like Introduction to Programming and Data Structures. This early exposure helps in understanding practical applications and developing a portfolio.
Tools & Resources
GitHub, Stack Overflow, Online tutorials (e.g., freeCodeCamp)
Career Connection
Practical experience through projects enhances problem-solving skills and provides tangible evidence of abilities to potential employers during internships and placements.
Intermediate Stage
Pursue Internships and Industry Exposure- (Semester 3-5)
Actively seek summer internships after the 2nd and 3rd years in relevant tech companies or startups in India. Attend industry workshops, tech talks, and seminars organized by the department or professional bodies to understand current industry trends.
Tools & Resources
Internshala, LinkedIn, Company career pages, Department''''s placement cell
Career Connection
Internships provide invaluable real-world experience, help in building professional networks, and often lead to pre-placement offers, significantly boosting career prospects.
Specialize and Build Niche Skills- (Semester 3-5)
Identify areas of interest from electives (e.g., AI/ML, Cybersecurity, Cloud Computing) and pursue advanced courses, online certifications, or specialized projects. Deepen expertise in a chosen domain through focused learning and application.
Tools & Resources
Coursera, NPTEL, Udemy, AWS/Azure certifications, Kaggle
Career Connection
Specialized skills make you a more competitive candidate for specific roles and industries, offering higher earning potential and career growth in niche tech domains.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in competitive programming events (e.g., ACM-ICPC, Google Code Jam) and hackathons. These platforms foster rapid problem-solving, teamwork, and innovation under pressure, valuable skills for real-world development.
Tools & Resources
CodeChef, TopCoder, Devpost, University clubs and societies
Career Connection
Success in these competitions is highly regarded by tech companies, demonstrating exceptional coding prowess and critical thinking abilities, which are key for top placements.
Advanced Stage
Intensify Placement Preparation and Mock Interviews- (Semester 6-8)
Focus on rigorous preparation for technical interviews, including data structures, algorithms, system design, and behavioral questions. Practice mock interviews with peers, seniors, and career coaches. Refine your resume and LinkedIn profile.
Tools & Resources
Interviews resources (e.g., LeetCode, AlgoExpert), Mock interview platforms, IIT Tirupati Career Development Centre
Career Connection
Thorough preparation directly translates into increased chances of securing placements in desired companies and roles, maximizing your career launchpad.
Undertake Impactful Final Year Projects- (Semester 6-8)
Select a challenging and innovative final year project that showcases your specialized skills and problem-solving abilities. Work closely with faculty mentors and consider interdisciplinary projects. Aim for publishable results or a demonstrable product.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), Faculty expertise, Open-source tools
Career Connection
A strong final year project is a significant differentiator in placements, demonstrating practical skills, research aptitude, and the ability to deliver complex solutions.
Network and Build Professional Relationships- (Semester 6-8)
Actively network with alumni, industry professionals, and faculty. Attend conferences, webinars, and alumni meets. Build a strong professional presence on platforms like LinkedIn. Mentorship from seniors can provide valuable career guidance.
Tools & Resources
LinkedIn, Professional conferences (e.g., IEEE, ACM), Alumni network events
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and insights into career paths, proving invaluable for long-term career growth and professional development.
Program Structure and Curriculum
Eligibility:
- Admission through JEE Advanced, adhering to JoSAA/CSAB guidelines and 10+2 academic requirements.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 40% (for theory courses), 60% (for laboratory/project courses), External: 60% (for theory courses), 40% (for laboratory/project courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics I | Core | 4 | Functions of several variables, Sequences and series, Linear Algebra: Matrices, Vector spaces, Eigenvalues, Vector Calculus: Differentiation, Integration |
| PH101 | Engineering Physics | Core | 3 | Classical Mechanics, Quantum Mechanics, Solid State Physics, Optics, Electromagnetism |
| PH102 | Engineering Physics Laboratory | Lab | 1.5 | Basic experiments on Optics, Electricity and Magnetism, Modern Physics concepts |
| CS101 | Introduction to Programming | Core | 3 | Programming fundamentals (C language), Control structures, Functions, Arrays, Pointers, Structures and Unions |
| CS102 | Introduction to Programming Laboratory | Lab | 1.5 | Hands-on C programming, Problem-solving using programming logic, Debugging techniques |
| EE101 | Basic Electrical Engineering | Core | 3 | DC and AC circuits, Transformers, DC machines, AC machines, Basic power systems |
| EE102 | Basic Electrical Engineering Laboratory | Lab | 1.5 | Verification of network theorems, Study of electrical machines, Basic electrical measurements |
| HM101 | English for Engineers | Core | 2 | Technical communication skills, Report writing, Presentation skills, Group discussions, Vocabulary and grammar |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Engineering Mathematics II | Core | 4 | Ordinary Differential Equations, Laplace transforms, Fourier series, Partial Differential Equations, Complex Analysis |
| CY101 | Engineering Chemistry | Core | 3 | Electrochemistry, Polymer Chemistry, Spectroscopy, Green Chemistry, Environmental Chemistry |
| CY102 | Engineering Chemistry Laboratory | Lab | 1.5 | Volumetric analysis, Instrumental methods in chemistry, Synthesis of organic compounds |
| ME101 | Engineering Graphics | Core | 2.5 | Orthographic projections, Isometric projections, Sectional views, Introduction to CAD software |
| ME102 | Engineering Workshop | Lab | 1.5 | Carpentry and Fitting, Welding techniques, Sheet metal work, Foundry processes, Basic machining operations |
| CS103 | Data Structures | Core | 3 | Arrays and Linked lists, Stacks and Queues, Trees (Binary, BST, AVL), Graphs and their algorithms, Sorting and Searching algorithms |
| CS104 | Data Structures Laboratory | Lab | 1.5 | Implementation of data structures, Algorithm analysis and complexity, Problem-solving using data structures |
| HS101 | Environmental Studies | Core | 2 | Ecosystems and Biodiversity, Environmental pollution and control, Renewable energy sources, Sustainable development, Climate change issues |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS201 | Discrete Mathematics | Core | 3 | Set theory and Logic, Relations and Functions, Graph theory, Combinatorics, Recurrence relations |
| CS202 | Object-Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception handling, File I/O and Templates |
| CS203 | Object-Oriented Programming Laboratory | Lab | 1.5 | Hands-on C++/Java OOP concepts, Design patterns implementation, Building object-oriented applications |
| CS204 | Computer Organization and Architecture | Core | 3 | CPU organization, Memory hierarchy, I/O organization, Pipelining, Instruction sets and addressing modes |
| MA201 | Probability and Statistics | Core | 3 | Probability theory, Random variables and distributions, Sampling distributions, Hypothesis testing, Regression and Correlation |
| EC201 | Digital Logic Design | Core | 3 | Boolean algebra and logic gates, Combinational circuits, Sequential circuits, Registers and Counters, State machines |
| EC202 | Digital Logic Design Laboratory | Lab | 1.5 | Implementation of logic circuits using ICs, Hardware Description Languages (HDL), FPGA based design |
| HM201 | Managerial Economics and Financial Analysis | Core | 2 | Demand and Supply analysis, Production and Cost analysis, Market structures, Financial statements, Investment appraisal techniques |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS205 | Design and Analysis of Algorithms | Core | 3 | Asymptotic analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph algorithms (DFS, BFS, Shortest Paths) |
| CS206 | Operating Systems | Core | 3 | Process management and scheduling, Memory management (Paging, Segmentation), Virtual memory, File systems, Deadlocks and Synchronization |
| CS207 | Operating Systems Laboratory | Lab | 1.5 | Shell scripting, Process and thread management in Linux, Inter-process communication, Synchronization problems implementation |
| CS208 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity classes (P, NP) |
| CS209 | Database Management Systems | Core | 3 | ER model and Relational model, SQL (DDL, DML, DCL), Normalization, Transaction management, Concurrency control and Recovery |
| CS210 | Database Management Systems Laboratory | Lab | 1.5 | SQL queries and database design, PL/SQL or stored procedures, Front-end application integration with database |
| HS2XX | Elective I | Elective (Humanities and Social Sciences) | 2 | Topics depend on the chosen elective from the HSS pool., Examples include Human Values, Principles of Management, Indian Constitution, Cyber Security. |
| CS2XX | Department Elective I | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Artificial Intelligence, Machine Learning, Computer Networks, Data Mining. |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Computer Networks | Core | 3 | Network layers and protocols (TCP/IP), Routing algorithms, Congestion control, Network security fundamentals, Wireless networks |
| CS302 | Computer Networks Laboratory | Lab | 1.5 | Network programming (sockets), Packet analysis (Wireshark), Routing protocols implementation, Client-server communication |
| CS303 | Compiler Design | Core | 3 | Lexical analysis, Syntax analysis (parsing), Semantic analysis, Intermediate code generation, Code optimization and generation |
| CS304 | Software Engineering | Core | 3 | Software Development Life Cycle (SDLC), Requirements engineering, Software design principles and patterns, Software testing and quality assurance, Software project management |
| HM301 | Entrepreneurship | Core | 2 | Entrepreneurial mindset and process, Business plan development, Market analysis and strategy, Funding and legal aspects for startups, Startup ecosystem in India |
| CS3XX | Program Elective I | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Artificial Intelligence, Machine Learning, Data Mining, Cloud Computing. |
| CS3XX | Program Elective II | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Artificial Intelligence, Machine Learning, Data Mining, Cloud Computing. |
| HS301 | Technical Writing and Communication | Core | 1.5 | Technical report writing, Research paper structure and citation, Oral presentation skills, Documentation standards, Professional communication strategies |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS307 | Cryptography and Network Security | Core | 3 | Symmetric and Asymmetric Cryptography, Hashing and Digital Signatures, Network security protocols (SSL/TLS, IPSec), Firewalls and Intrusion Detection Systems, Malware and Cybersecurity attacks |
| CS308 | Cryptography and Network Security Laboratory | Lab | 1.5 | Implementation of cryptographic algorithms, Network security tools (e.g., nmap, openssl), Vulnerability assessment and penetration testing basics |
| CS309 | Web Technologies | Core | 3 | HTML, CSS, JavaScript fundamentals, Server-side scripting (e.g., PHP, Node.js), Web frameworks (e.g., Django, React), Database integration for web applications, Web services and APIs |
| CS310 | Web Technologies Laboratory | Lab | 1.5 | Building dynamic web applications, Frontend development with frameworks, Backend development with databases, Deployment of web applications |
| CS3XX | Program Elective III | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Data Mining, Cloud Computing, Game Development, Advanced Database Systems. |
| CS3XX | Program Elective IV | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Data Mining, Cloud Computing, Game Development, Advanced Database Systems. |
| HM302 | Professional Ethics | Core | 2 | Ethical theories and decision-making, Professional responsibility in engineering, Cyber ethics and privacy, Intellectual property rights, Whistleblowing and corporate governance |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Distributed Systems | Core | 3 | Distributed architectures and paradigms, Remote Procedure Call (RPC), Consistency and Replication, Fault tolerance and Consensus, Distributed file systems and transactions |
| CS402 | Distributed Systems Laboratory | Lab | 1.5 | Implementation of distributed algorithms, Message passing interfaces (MPI), Cloud platform integration (e.g., AWS, Azure), Building scalable applications |
| CS4XX | Program Elective V | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Computer Graphics, Internet of Things, Deep Learning, Human-Computer Interaction. |
| CS4XX | Program Elective VI | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Computer Graphics, Internet of Things, Deep Learning, Human-Computer Interaction. |
| CS4XX | Program Elective VII | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Computer Graphics, Internet of Things, Deep Learning, Human-Computer Interaction. |
| CS451 | Project Work Part I | Project | 3 | Problem identification and definition, Literature survey and analysis, Design methodology and planning, Initial prototype development, Project scheduling and management |
| OEXXX | Open Elective I | Elective (Open) | 3 | Topics depend on the chosen elective from a pool of courses offered by other departments. |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4XX | Program Elective VIII | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Blockchain Technology, Big Data Analytics, Natural Language Processing, Quantum Computing. |
| CS4XX | Program Elective IX | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Blockchain Technology, Big Data Analytics, Natural Language Processing, Quantum Computing. |
| CS4XX | Program Elective X | Elective (Computer Science) | 3 | Topics depend on the chosen elective from the CSE Program Electives pool., Examples include Blockchain Technology, Big Data Analytics, Natural Language Processing, Quantum Computing. |
| CS452 | Project Work Part II | Project | 6 | System implementation and development, Testing, debugging, and quality assurance, Performance evaluation and optimization, Comprehensive technical documentation, Project defense and presentation |
| OEXXX | Open Elective II | Elective (Open) | 3 | Topics depend on the chosen elective from a pool of courses offered by other departments. |
