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B-SC in Computer Science at Shanmugha Arts Science Technology & Research Academy (SASTRA)
Thanjavur, Tamil Nadu
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About the Specialization
What is Computer Science at Shanmugha Arts Science Technology & Research Academy (SASTRA) Thanjavur?
This B.Sc. Computer Science program at Shanmugha Arts, Science, Technology & Research Academy focuses on building a strong foundation in core computer science principles, alongside practical skills relevant to the evolving Indian IT industry. It covers fundamental concepts from programming and data structures to advanced topics like Artificial Intelligence and Network Security. The program emphasizes problem-solving and application development, preparing students for immediate industry relevance and further academic pursuits.
Who Should Apply?
This program is ideal for recent +2 graduates with a strong aptitude for mathematics and logical reasoning, eager to embark on a career in technology. It also suits individuals seeking a solid academic base before specializing in niche areas like data science or cybersecurity. Those looking to join India''''s rapidly expanding IT services and product sectors will find this curriculum particularly beneficial for entry-level roles.
Why Choose This Course?
Graduates of this program can expect to secure roles as junior developers, software engineers, data analysts, or network administrators in leading Indian IT companies, startups, and MNCs operating in India. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential up to INR 10-15 LPA with experience. The foundational knowledge also prepares students for competitive exams for government jobs or higher studies like MCA/M.Sc. CS.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to deeply understand Python and C++ syntax, object-oriented concepts, and basic data structures. Regularly solve coding challenges on platforms like HackerRank and CodeChef to build logical thinking and efficient coding skills, crucial for technical interviews.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Python documentation, C++ tutorials
Career Connection
Strong programming fundamentals are non-negotiable for cracking technical interviews and building robust software applications, forming the bedrock of a successful IT career.
Develop Strong Communication Skills- (Semester 1-2)
Actively participate in English communication labs and group activities to enhance presentation, public speaking, and technical writing abilities. Join student clubs for debate or presentations, and seek feedback to continuously refine your communication style.
Tools & Resources
Grammarly, LinkedIn Learning courses on communication, University''''s communication center, Toastmasters International (if available)
Career Connection
Effective communication is essential for collaborating in teams, client interactions, articulating complex technical ideas clearly, and excelling in professional environments.
Build a Solid Mathematical Base- (Semester 1-2)
Focus intently on discrete mathematics, calculus, and probability concepts as they are foundational for advanced computer science topics like algorithms, AI, and data science. Regularly solve problems from textbooks and online resources to strengthen analytical skills.
Tools & Resources
Khan Academy, NPTEL courses on discrete math, Schaum''''s outlines, University library resources, MIT OpenCourseWare
Career Connection
A strong mathematical foundation is critical for understanding algorithmic complexity, machine learning models, cryptographic principles, and for pursuing advanced research or specialized roles.
Intermediate Stage
Engage in Practical Project Development- (Semester 3-5)
Apply theoretical knowledge from DBMS, Operating Systems, and Java by developing mini-projects individually or in teams. Focus on solving real-world problems and build a diverse portfolio of projects to showcase practical application of learned concepts.
Tools & Resources
GitHub, VS Code, MySQL, Android Studio, Jupyter Notebooks, Stack Overflow
Career Connection
A robust project portfolio demonstrates practical skills to recruiters, provides hands-on experience, and is crucial for securing internships and entry-level positions in the Indian IT sector.
Seek and Complete Internships- (Semester 3-5)
Actively search for and undertake internships in relevant tech companies or startups during summer breaks or semester breaks. This provides invaluable industry exposure, networking opportunities, and a chance to apply learned concepts in a professional setting.
Tools & Resources
Internshala, LinkedIn Jobs, College placement cell, Company career pages, Naukri.com
Career Connection
Internships often lead to pre-placement offers, build industry contacts, and provide a clearer understanding of potential career paths, significantly boosting employability.
Specialize through Electives and Online Courses- (Semester 4-5)
Explore interests by strategically choosing professional/open electives offered by the department. Supplement classroom learning with MOOCs from platforms like Coursera or NPTEL in areas like AI, Machine Learning, Cybersecurity, or Cloud Computing to gain specialized, in-demand skills.
Tools & Resources
Coursera, edX, NPTEL, Udemy, Specialized tech blogs and forums, Google IT Certificates
Career Connection
Specialized skills differentiate you in the job market, aligning with specific industry demands and helping to define a clearer career trajectory in India''''s competitive tech landscape.
Advanced Stage
Focus on Comprehensive Project Work- (Semester 6)
Invest significant effort in the final year project (EIC302), aiming to solve a complex problem or develop an innovative solution. Ensure thorough documentation, rigorous testing, and a strong, professional presentation of the project''''s impact and findings.
Tools & Resources
Project management tools (Trello, Jira), Version control (Git), Relevant IDEs and frameworks, Research papers and academic databases, Faculty mentorship
Career Connection
The capstone project serves as a major talking point in job interviews, showcasing all acquired skills, problem-solving abilities, and readiness for industry challenges.
Prepare Rigorously for Placements and Higher Studies- (Semester 6)
Actively participate in placement drives, workshops on interview skills, and resume building sessions conducted by the college. Simultaneously, prepare for competitive exams like GATE, GRE, or relevant bank/government exams if higher education or public sector jobs are aspirations.
Tools & Resources
College placement cell resources, Mock interview platforms, Aptitude test books, Specific exam preparation materials, LinkedIn profile optimization
Career Connection
This focused preparation directly translates into successful placements with top companies, admissions to postgraduate programs, or entry into stable public sector roles in India.
Cultivate Professional Networking- (Semester 6)
Connect with alumni, industry experts, and peers through platforms like LinkedIn, professional events, and college alumni meets. Building a strong professional network can open doors to mentorship, job opportunities, and collaborative ventures.
Tools & Resources
LinkedIn, Industry conferences and workshops, College alumni portal, Professional associations (e.g., IEEE student chapters), Networking events
Career Connection
A strong network facilitates job referrals, provides invaluable career advice, and fosters long-term professional growth and visibility within the Indian tech industry.
Program Structure and Curriculum
Eligibility:
- Pass in +2 (HSC) with Mathematics as one of the subjects
Duration: 3 years / 6 semesters
Credits: 135 Credits
Assessment: Internal: Theory: 40%, Practical: 60%, External: Theory: 60%, Practical: 40%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE101 | Problem Solving using Python | Core | 4 | Python basics, Data types and variables, Control flow statements, Functions and modules, Basic data structures (lists, tuples, dictionaries), Object-Oriented Programming concepts |
| MAT101 | Mathematics for Computer Science | Core | 4 | Matrices and determinants, Set theory and relations, Functions and permutations, Graph theory fundamentals, Mathematical logic and proofs, Propositional and predicate calculus |
| ENG101 | English for Communication | Core | 4 | Listening and speaking skills, Reading comprehension, Writing skills (paragraph, essay, report), Grammar and vocabulary building, Public speaking and presentation, Interpersonal communication |
| PHY101 | Physics for Computer Science | Core | 4 | Optics and modern physics, Quantum mechanics principles, Semiconductor physics, Dielectric properties of materials, Nanomaterials and applications, Lasers and fiber optics |
| CSE102 | Problem Solving using Python Lab | Lab | 2 | Python programming exercises, Debugging and error handling, Implementation of data types, Functions and module creation, File I/O operations, Basic algorithm implementation |
| ENG102 | English for Communication Lab | Lab | 2 | Group discussions, Oral presentations, Listening comprehension practice, Role-plays and mock interviews, Pronunciation and accent neutralization, Public speaking exercises |
| HUL101 | Yoga & Meditation | Value Added Course | 0 | Basic Yoga Asanas, Breathing techniques (Pranayama), Introduction to meditation, Stress management practices, Concentration and focus exercises, Holistic well-being |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE103 | Object Oriented Programming using C++ | Core | 4 | Classes and objects, Constructors and destructors, Inheritance and polymorphism, Operator overloading, Virtual functions and pure virtual functions, Exception handling and templates |
| MAT102 | Applied Calculus and Probability | Core | 4 | Differential calculus applications, Integral calculus techniques, Introduction to differential equations, Probability theory fundamentals, Random variables and distributions, Statistical inference basics |
| ENV101 | Environmental Science | Core | 4 | Ecosystems and biodiversity, Environmental pollution, Natural resources management, Climate change and global warming, Sustainable development practices, Environmental ethics and policies |
| CSE104 | Data Structures | Core | 4 | Arrays and linked lists, Stacks and queues, Trees (binary, AVL, B-trees), Graphs and graph traversal algorithms, Searching and sorting algorithms, Hashing techniques |
| CSE105 | Object Oriented Programming using C++ Lab | Lab | 2 | C++ program development, Class and object implementation, Inheritance and polymorphism exercises, File handling in C++, Template programming, Debugging C++ applications |
| CSE106 | Data Structures Lab | Lab | 2 | Implementation of stacks, queues, Linked list manipulations, Tree traversal algorithms (inorder, preorder, postorder), Graph representation and traversal, Sorting algorithms (e.g., quicksort, mergesort), Searching algorithms (e.g., binary search) |
| CSE107 | Web Technology | Core | 3 | HTML5 basics and semantic elements, CSS3 for styling web pages, JavaScript fundamentals and DOM manipulation, Client-server architecture, Introduction to web servers, Responsive web design principles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE201 | Computer Architecture | Core | 4 | Basic computer organization, CPU architecture and instruction sets, Memory hierarchy and cache memory, Input/Output organization, Pipelining and parallel processing, Control unit design |
| MAT201 | Discrete Mathematics | Core | 4 | Logic and propositional calculus, Set theory and counting techniques, Relations and functions, Algebraic structures (groups, rings), Graph theory and trees, Boolean algebra and lattice theory |
| CSE202 | Operating Systems | Core | 4 | Operating system structures, Process management and scheduling, Memory management techniques, Virtual memory and paging, File systems and I/O systems, Deadlocks and concurrency control |
| CSE203 | Database Management Systems | Core | 4 | Data models (ER, Relational), Relational algebra and calculus, Structured Query Language (SQL), Normalization and dependencies, Transaction management, Concurrency control and recovery |
| CSE204 | Web Technology Lab | Lab | 2 | HTML and CSS webpage development, JavaScript for interactive web pages, DOM manipulation exercises, Form validation techniques, Introduction to server-side scripting, Website deployment basics |
| CSE205 | Database Management Systems Lab | Lab | 2 | SQL query writing (DDL, DML, DCL), Database design and ER diagram implementation, Stored procedures and functions, Trigger creation, View management, Database connectivity with programming languages |
| HUL201 | Human Values & Professional Ethics | Value Added Course | 0 | Ethics in technology and engineering, Professional integrity and responsibility, Value education principles, Moral dilemmas in the workplace, Social responsibility of engineers, Impact of technology on society |
| EIC201 | Internship - I | Internship | 3 | Industry exposure and work culture, Application of academic knowledge, Practical problem-solving, Teamwork and communication, Professional report writing, Project implementation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE206 | Design and Analysis of Algorithms | Core | 4 | Algorithm analysis and complexity, Asymptotic notations, Divide and Conquer strategy, Greedy algorithms, Dynamic programming, Graph algorithms (BFS, DFS, shortest path) |
| CSE207 | Computer Networks | Core | 4 | Network models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer protocols (IP, Routing), Transport Layer protocols (TCP, UDP), Application Layer protocols (HTTP, DNS), Network security basics |
| CSE208 | Java Programming | Core | 4 | Java fundamentals and OOPs concepts, Exception handling and multithreading, I/O streams and file handling, GUI programming (AWT, Swing), Applets and networking in Java, Database connectivity (JDBC) |
| CSE209 | Discrete Structures and Automata Theory | Core | 4 | Finite automata (DFA, NFA), Regular expressions and languages, Context-free grammars and languages, Pushdown automata, Turing machines, Undecidability |
| CSE210 | Java Programming Lab | Lab | 2 | Java programming exercises, Object-Oriented Programming implementations, GUI application development, Database connectivity programs, Networking applications in Java, Multithreading examples |
| OOE1XX | Open Elective - I | Elective | 3 | |
| EIC202 | Mini Project | Project | 2 | Project planning and scope definition, System design and architecture, Implementation and coding, Testing and debugging, Project report writing, Oral presentation and demonstration |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE301 | Software Engineering | Core | 4 | Software development life cycle models, Requirements engineering, Software design principles, Software testing techniques, Software maintenance and evolution, Project management and estimation |
| CSE302 | Artificial Intelligence | Core | 4 | Introduction to AI and intelligent agents, Problem-solving by search, Knowledge representation and reasoning, Machine learning fundamentals, Expert systems and fuzzy logic, Natural Language Processing basics |
| CSE303 | Mobile Application Development | Core | 4 | Mobile application architecture (Android/iOS), User Interface design for mobile, Data storage and persistence, Networking and API integration, Location-based services, Deployment and publishing mobile apps |
| CSE304 | Compiler Design | Core | 4 | Lexical analysis and scanners, Syntax analysis and parsers (LL, LR), Semantic analysis and type checking, Intermediate code generation, Code optimization techniques, Run-time environments |
| CSE305 | Mobile Application Development Lab | Lab | 2 | Android/iOS application development, User interface design and implementation, Database integration (SQLite), API consumption for mobile apps, Debugging and testing mobile applications, Building functional mobile features |
| PUE3XX | Professional Elective - I | Elective | 3 | |
| EIC301 | Internship - II | Internship | 2 | Advanced industry project work, Specialized skill development, Mentorship and professional guidance, Industry standard practices, Networking with professionals, Career exploration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSE306 | Cryptography and Network Security | Core | 4 | Classical encryption 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 |
| PUE3XX | Professional Elective - II | Elective | 3 | |
| PUE3XX | Professional Elective - III | Elective | 3 | |
| OOE3XX | Open Elective - II | Elective | 3 | |
| EIC302 | Project Work | Project | 8 | Problem identification and literature review, System analysis and design, Advanced implementation and coding, Rigorous testing and validation, Comprehensive project documentation, Professional presentation and defense |
