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B-TECH in Information Technology at Shanmugha Arts Science Technology & Research Academy (SASTRA)
Thanjavur, Tamil Nadu
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About the Specialization
What is Information Technology at Shanmugha Arts Science Technology & Research Academy (SASTRA) Thanjavur?
This Information Technology program at Shanmugha Arts, Science, Technology & Research Academy focuses on equipping students with expertise in cutting-edge IT domains, essential for India''''s rapidly expanding digital economy. It emphasizes both foundational computing principles and advanced applications like AI, Cloud, and Cybersecurity, preparing graduates for diverse roles across the Indian tech landscape. The program''''s blend of theory and practical lab work ensures industry readiness and innovation.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic IT sector. It also caters to individuals passionate about software development, data science, networking, or cybersecurity. Prospective students should be eager to solve complex problems and contribute to digital transformation initiatives within India''''s growing tech workforce, aiming for a impactful career.
Why Choose This Course?
Graduates of this program can expect to secure roles as Software Developers, Data Analysts, Network Engineers, Cybersecurity Analysts, or Cloud Architects in leading Indian and global IT firms. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The curriculum aligns with certifications like AWS, Microsoft Azure, and various data science specializations, fostering strong career growth and professional advancement.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate ample time to truly understand core programming concepts in C/C++ and data structures. Practice extensively on online coding platforms to build problem-solving muscle and algorithmic thinking, forming a strong computational base.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, NPTEL courses on Data Structures
Career Connection
Strong fundamentals are the bedrock for all IT roles, crucial for cracking initial technical interviews and excelling in software development positions.
Develop Strong Analytical & Mathematical Skills- (Semester 1-2)
Focus on mastering Calculus, Linear Algebra, Probability, and Discrete Mathematics. These subjects form the theoretical basis for advanced AI, Machine Learning, and Data Science concepts, providing a robust analytical framework.
Tools & Resources
Khan Academy, NPTEL Mathematics courses, NCERT textbooks for concept reinforcement
Career Connection
Essential for roles in R&D, Data Science, Quantitative Analysis, and advanced algorithm development, giving a competitive edge.
Engage in Peer Learning & Study Groups- (Semester 1-2)
Form study groups with peers to discuss challenging topics, solve problems collaboratively, and clarify doubts. Teach concepts to others to solidify your own understanding and develop cooperative learning habits.
Tools & Resources
WhatsApp groups, Google Meet for collaborative study sessions, Whiteboards
Career Connection
Enhances communication, teamwork, and problem-solving skills, vital for professional environments and collaborative project success.
Intermediate Stage
Pursue Mini-Projects & Hackathons- (Semester 3-5)
Apply classroom knowledge by working on small, real-world projects or participating in hackathons. This hands-on experience builds a portfolio and exposes you to industry tools and agile workflows, showcasing practical abilities.
Tools & Resources
GitHub for version control, VS Code, College tech fests, Smart India Hackathon
Career Connection
Differentiates your resume, showcases practical skills, and provides compelling talking points for technical interviews and project discussions.
Explore Industry Certifications & MOOCs- (Semester 3-5)
Supplement your curriculum with relevant industry certifications (e.g., Google IT Support, AWS Cloud Practitioner) or specialized MOOCs from platforms like Coursera/edX in areas of interest (e.g., Python for Data Science, Advanced Java).
Tools & Resources
Coursera, edX, Udemy, Official certification guides from vendors
Career Connection
Validates specific skill sets, makes you more marketable for specialized roles, and opens doors to niche opportunities within the Indian tech industry.
Network with Faculty & Industry Professionals- (Semester 3-5)
Attend departmental seminars, workshops, and guest lectures. Engage with faculty for research opportunities or project guidance. Utilize LinkedIn to connect with alumni and industry experts for mentorship and career insights.
Tools & Resources
LinkedIn, Departmental notice boards, College career services events
Career Connection
Builds professional relationships, offers valuable career guidance, and can lead to internship or job referrals through established networks.
Advanced Stage
Undertake a Significant Capstone Project/Internship- (Semester 7-8)
Focus on a substantial final year project that addresses a real-world problem or secures a challenging industrial internship. This demonstrates advanced problem-solving and practical application of knowledge at an industry level.
Tools & Resources
GitHub for project management, Industry-standard development tools, Company mentors, Academic advisors
Career Connection
The strongest resume builder, often leading directly to pre-placement offers or showcasing readiness for complex, high-impact roles.
Intensive Placement Preparation- (Semester 6-8)
Engage in rigorous preparation for campus placements, focusing on aptitude tests, technical interviews (data structures, algorithms, core IT concepts), and soft skills (communication, group discussions) to secure top placements.
Tools & Resources
Placement training cells, Online aptitude platforms (e.g., Indiabix), Mock interviews, Company-specific preparation materials
Career Connection
Directly targets successful placement into desired companies and roles, maximizing opportunities for a strong career start.
Specialize in Niche Technologies & Research- (Semester 6-8)
Deep dive into a specific area like AI/ML, Cybersecurity, Cloud, or IoT. Pursue advanced elective courses, personal projects, or even publish research papers under faculty guidance, establishing expertise in a chosen domain.
Tools & Resources
Advanced frameworks (TensorFlow, PyTorch), Specialized labs, Research journals, Academic conferences
Career Connection
Positions you as an expert in a high-demand field, opening doors to specialized roles, higher salaries, and potential for further academic or research pursuits.
Program Structure and Curriculum
Eligibility:
- 10+2 (Higher Secondary) with Physics, Chemistry, and Mathematics (PCM) or Physics, Chemistry, Mathematics, and Biology (PCMB) with a minimum aggregate of 60% in PCM/PCMB. Admission based on JEE Main scores or SASTRA Aptitude Test scores.
Duration: 8 semesters / 4 years
Credits: 176 Credits
Assessment: Internal: 40% (for Theory subjects), 50% (for Practical subjects), External: 60% (for Theory subjects), 50% (for Practical subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC101 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors |
| PHC101 | Engineering Physics | Core | 4 | Waves and Optics, Quantum Mechanics, Crystal Physics, Semiconductor Physics, Laser and Fiber Optics |
| CHC101 | Engineering Chemistry | Core | 4 | Water Treatment, Electrochemistry, Corrosion, Polymer Chemistry, Nanomaterials |
| ENC101 | Professional English I | Core | 3 | Basic Communication Skills, Grammar and Vocabulary, Reading Comprehension, Writing Paragraphs and Essays, Presentation Skills |
| CSC101 | Programming in C | Core | 4 | C Language Fundamentals, Control Structures, Functions and Pointers, Arrays and Strings, Structures and Unions, File Handling |
| PCL101 | Engineering Physics Lab | Lab | 2 | Young''''s Modulus, Spectrometer Grating, Semiconductor Diode Characteristics, Ultrasonic Interferometer, Torsional Pendulum |
| CCL101 | Engineering Chemistry Lab | Lab | 2 | Water Hardness Determination, pH Metry, Conductometry, Potentiometry, Estimation of Iron |
| CSL101 | Computer Programming Lab | Lab | 2 | C Programming Exercises, Control Flow Implementation, Function and Array Usage, Pointer Operations, File Operations |
| ENL101 | Professional English Lab I | Lab | 2 | Listening Skills, Spoken English, Group Discussions, Public Speaking Practice, Pronunciation Drills |
| MEC101 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to AutoCAD |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC102 | Differential Equations and Transforms | Core | 4 | Ordinary Differential Equations, Partial Differential Equations, Laplace Transforms, Fourier Series, Z-Transforms |
| MAC103 | Probability and Statistics | Core | 4 | Probability Axioms, Random Variables, Probability Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| ITC201 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms, Hashing |
| ITC202 | Digital Logic Design | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory Devices |
| CSC201 | Object Oriented Programming with C++ | Core | 4 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Constructors and Destructors, Templates and Exception Handling, File I/O |
| ENC102 | Environmental Science | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Waste Management, Sustainable Development |
| ITL201 | Data Structures and Algorithms Lab | Lab | 2 | Implementation of Lists, Stack and Queue Operations, Tree Traversal, Graph Algorithms, Sorting and Searching Practice |
| ITL202 | Digital Logic Design Lab | Lab | 2 | Logic Gate Implementation, Adders and Subtractors, Multiplexers and Demultiplexers, Flip-Flops, Counters and Registers |
| CSL201 | Object Oriented Programming Lab with C++ | Lab | 2 | Class and Object Creation, Inheritance Examples, Polymorphism Implementation, Operator Overloading, Exception Handling Programs |
| ENL102 | Professional English Lab II | Lab | 2 | Advanced Listening Skills, Public Speaking, Interview Skills, Debate and Discussion, Report Writing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC201 | Discrete Mathematics | Core | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics, Boolean Algebra |
| ITC301 | Computer Architecture | Core | 4 | CPU Organization, Instruction Sets, Pipelining, Memory Hierarchy, I/O Organization, Parallel Processing |
| ITC302 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Memory Management, File Systems, I/O Systems, Deadlocks |
| ITC303 | Database Management Systems | Core | 4 | ER Model, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| CSC301 | Java Programming | Core | 4 | Java Fundamentals, OOP in Java, Exception Handling, Multithreading, GUI Programming (AWT/Swing), JDBC |
| ITL301 | Computer Architecture Lab | Lab | 2 | Assembly Language Programming, Processor Simulation, Memory Management Simulation, Cache Memory Mapping, Pipelining Concepts |
| ITL302 | Operating Systems Lab | Lab | 2 | Shell Scripting, Process Creation and Management, CPU Scheduling Algorithms, Memory Allocation Algorithms, Inter-process Communication |
| ITL303 | Database Management Systems Lab | Lab | 2 | SQL Commands (DDL, DML, DCL), Database Design, PL/SQL Programming, Transaction Management, Report Generation |
| CSL301 | Java Programming Lab | Lab | 2 | Java Program Development, OOP Implementation, Applet Programming, Database Connectivity, GUI Application Development |
| GSL301 | Aptitude and Soft Skills I | Core | 1 | Quantitative Aptitude, Logical Reasoning, Verbal Ability, Basic Communication, Problem-Solving Strategies |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAC202 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| ITC401 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| ITC402 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Network Topologies, Protocols (HTTP, TCP, UDP, IP), Routing Algorithms, Network Security Basics, Wireless Networks |
| ITC403 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Project Management, Agile Methodologies |
| ITC404 | Web Technology | Core | 4 | HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting (e.g., PHP/Node.js), Web Frameworks, Database Connectivity for Web, Web Security |
| ITL401 | Computer Networks Lab | Lab | 2 | Socket Programming, Network Configuration, Packet Analysis, Routing Protocols Implementation, Network Simulation Tools |
| ITL402 | Software Engineering Lab | Lab | 2 | UML Diagram Tools, Software Requirements Specification, Design Pattern Implementation, Testing Frameworks, Version Control Systems |
| ITL403 | Web Technology Lab | Lab | 2 | Front-end Development, JavaScript Applications, Backend API Development, Database Integration, Deployment of Web Applications |
| GSL401 | Aptitude and Soft Skills II | Core | 1 | Advanced Quantitative Aptitude, Advanced Logical Reasoning, Verbal Ability (Reading Comprehension), Interview Preparation, Group Discussion Techniques |
| OECXXX | Open Elective I | Elective | 3 | Diverse topics from other engineering/science disciplines as per choice. |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ITC501 | Artificial Intelligence | Core | 4 | Intelligent Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing, Expert Systems |
| ITC502 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| ITC503 | Cloud Computing | Core | 4 | Cloud Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Cloud Storage, AWS/Azure Fundamentals |
| ITC504 | Data Mining | Core | 4 | Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Algorithms, Regression Analysis, Data Warehousing |
| PECXXX | Professional Elective I | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective II | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| ITL501 | Artificial Intelligence Lab | Lab | 2 | Python for AI, Search Algorithm Implementation, Knowledge Representation Techniques, Machine Learning Model Development, NLP Applications |
| ITL502 | Compiler Design Lab | Lab | 2 | Lexical Analyzer Implementation, Parser Implementation (LL/LR), Syntax Directed Translation, Intermediate Code Generation, Simple Code Optimization |
| ITL503 | Cloud Computing Lab | Lab | 2 | Virtual Machine Deployment, Cloud Storage Services, Serverless Computing, Containerization (Docker), Cloud Security Configuration |
| GSL501 | Aptitude and Soft Skills III | Core | 1 | Verbal Reasoning, Critical Thinking, Resume Building, Presentation Skills, Corporate Etiquette |
| PBL501 | Project Based Learning I | Project | 2 | Problem Identification, Literature Survey, System Design, Implementation of a mini-project, Project Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ITC601 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation and Validation, Ensemble Methods, Reinforcement Learning |
| ITC602 | Information Security | Core | 4 | Cryptography, Network Security, Application Security, Cyber Laws and Ethics, Risk Management, Authentication and Authorization |
| ITC603 | Big Data Analytics | Core | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Programming, Spark and its components, NoSQL Databases, Data Visualization |
| PECXXX | Professional Elective III | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective IV | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective V | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| ITL601 | Machine Learning Lab | Lab | 2 | Python Libraries for ML (Scikit-learn), Data Preprocessing, Supervised Model Training, Unsupervised Clustering, Deep Learning Frameworks (TensorFlow/PyTorch) |
| ITL602 | Information Security Lab | Lab | 2 | Network Scanning Tools, Vulnerability Assessment, Encryption/Decryption Tools, Firewall Configuration, Intrusion Detection Systems |
| ITL603 | Big Data Analytics Lab | Lab | 2 | Hadoop Distributed File System (HDFS), MapReduce Programs, Spark Programming, NoSQL Database Operations, Data Ingestion and Processing |
| PBL601 | Project Based Learning II | Project | 2 | Advanced Problem Solving, Project Implementation with modern tools, Testing and Debugging, Team Collaboration, Technical Report and Presentation |
| OECXXX | Open Elective II | Elective | 3 | Diverse topics from other engineering/science disciplines as per choice. |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ITP701 | Internship/Project Work | Project | 10 | Industrial Training, System Analysis and Design, Software Development, Testing and Deployment, Technical Report and Defense |
| PECXXX | Professional Elective VI | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective VII | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective VIII | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective IX | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| OECXXX | Open Elective III | Elective | 3 | Diverse topics from other engineering/science disciplines as per choice. |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ITP801 | Full time project/Industrial Internship | Project | 16 | Comprehensive Project Development, Research and Innovation, Industrial Problem Solving, Advanced System Architecture, Project Documentation and Presentation |
| PECXXX | Professional Elective X | Elective | 3 | Specialized topics in IT as per student''''s choice. |
| PECXXX | Professional Elective XI | Elective | 3 | Specialized topics in IT as per student''''s choice. |
