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B-SC in Information Technology at Alagappa University
Sivaganga, Tamil Nadu
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About the Specialization
What is Information Technology at Alagappa University Sivaganga?
This Information Technology program at Alagappa University focuses on equipping students with foundational and advanced computing skills essential for the evolving digital landscape. It emphasizes practical application and theoretical understanding, preparing graduates for various roles in the Indian IT sector. The curriculum integrates core IT subjects with emerging technologies, ensuring relevance to current industry demands and future trends in India.
Who Should Apply?
This program is ideal for fresh graduates with a 10+2 background in relevant subjects seeking entry into the technology field. It caters to individuals aspiring for roles in software development, data analytics, web technology, and network administration. The curriculum is also suitable for career changers transitioning to the IT industry or those looking to build a strong technical foundation for further specialization or higher studies.
Why Choose This Course?
Graduates of this program can expect diverse career paths in the Indian IT industry, including roles like Junior Software Developer, Data Analyst, Web Developer, Network Administrator, and IT Support Specialist. Entry-level salaries typically range from INR 2.5 Lakhs to 4.5 Lakhs per annum, with significant growth trajectories towards mid-senior management positions. The program aligns with skills required for certifications in Python, Java, and Data Science, enhancing professional standing.
Student Success Practices
Foundation Stage
Master Python Fundamentals Early- (Semester 1-2)
Dedicate consistent time in Semesters 1 and 2 to deeply understand Python programming concepts, practicing daily coding challenges. This builds a strong base for future data science and programming courses.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks Python section
Career Connection
Strong Python skills are highly sought after in entry-level development and data analytics roles, significantly boosting placement prospects for Indian IT companies.
Build a Solid Data Structures and Algorithms Foundation- (Semester 1-2)
Actively participate in Data Structures and C++ labs. Practice implementing various data structures and algorithms from scratch. This is crucial for competitive programming and technical interviews.
Tools & Resources
LeetCode, Educative.io''''s DSA courses, College library resources on DSA
Career Connection
Proficiency in DSA is a non-negotiable requirement for cracking technical interviews at top-tier product and service-based companies in India.
Cultivate Effective Study Habits- (Semester 1-2)
Form study groups with peers to discuss concepts, solve problems together, and prepare for exams. Regularly revise previous topics to ensure cumulative learning and strong academic performance.
Tools & Resources
Google Meet/Zoom for group studies, Notion for notes organization, University library
Career Connection
Good academic performance opens doors to better internship and placement opportunities, and scholarship eligibility in leading Indian institutions.
Intermediate Stage
Engage in Practical Project Development- (Semester 3-5)
Beyond lab assignments, actively seek out and participate in mini-projects, hackathons, or open-source contributions. Focus on applying Java, RDBMS, and Web Programming skills to build functional applications.
Tools & Resources
GitHub for version control, VS Code/IntelliJ IDEA, Stack Overflow for problem-solving
Career Connection
Practical projects demonstrate your problem-solving abilities and technical prowess to recruiters, making your resume stand out for internships and job applications in India.
Explore Industry-Relevant Electives and Skills- (Semester 5)
Carefully choose electives like Cloud Computing or Artificial Intelligence based on emerging industry trends. Supplement classroom learning with online courses to specialize in desired areas.
Tools & Resources
Coursera/Udemy/NPTEL for specialized courses, AWS/Azure free tier accounts, Kaggle for data science practice
Career Connection
Specialized skills in areas like AI/ML or Cloud are highly valued by Indian tech companies, leading to niche roles and better compensation packages.
Network and Seek Mentorship- (Semester 3-5)
Attend industry webinars, guest lectures, and workshops organized by the department or local IT communities. Connect with alumni and faculty for guidance on career paths and industry insights.
Tools & Resources
LinkedIn for professional networking, Alagappa University Alumni Network, Local tech meetups
Career Connection
Networking can lead to valuable internship referrals, mentorship opportunities, and insights into the Indian job market, crucial for career navigation.
Advanced Stage
Execute a High-Quality Major Project- (Semester 6)
Invest significant effort in the final year major project, choosing a challenging and industry-relevant topic. Focus on robust design, efficient implementation, thorough testing, and professional documentation.
Tools & Resources
Project management tools (Trello, Jira), GitLab/GitHub for collaboration, LaTeX for professional documentation
Career Connection
A strong major project is a key talking point in interviews, showcasing your ability to deliver a complete solution and solve real-world problems for potential Indian employers.
Undertake Industry Internship/Training- (Semester 6)
Actively pursue internships or in-plant training opportunities to gain practical work experience. Leverage this to understand corporate culture, apply learned skills, and build a professional network.
Tools & Resources
Internshala, Naukri.com, College placement cell
Career Connection
Internships are often a direct path to full-time employment in India, providing invaluable experience and a competitive edge in the job market.
Focus on Placement Preparation and Soft Skills- (Semester 6)
Beyond technical skills, dedicate time to developing strong communication, logical reasoning, and aptitude skills. Practice mock interviews and group discussions to hone your presentation and interpersonal abilities.
Tools & Resources
Online aptitude tests, Mock interview platforms, Toastmasters clubs/college communication workshops
Career Connection
Excellent soft skills and interview preparation are critical for securing placements in both IT service and product companies across India, complementing your technical expertise.
Program Structure and Curriculum
Eligibility:
- Pass in the Higher Secondary Examination (10+2) or an equivalent examination with Mathematics/Computer Science/Business Mathematics/Statistics as one of the subjects, from official university admission guidelines.
Duration: 3 years (6 semesters)
Credits: 140 Credits
Assessment: Internal: 25% (for theory), 40% (for practicals), External: 75% (for theory), 60% (for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22ULTL11 | Part-I Tamil / Other Language - I | Language | 3 | Ancient Literature, Modern Literature, Grammar, History of Literature, Literary Criticism |
| 22ULEL11 | Part-II English - I | Language | 3 | Grammar and Usage, Reading Comprehension, Basic Communication Skills, Short Stories, Poetry |
| 22UITC11 | Core - I : Problem Solving Techniques using Python | Core | 4 | Python Language Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries), File Handling |
| 22UITC12 | Core - II : Digital Principles and Computer Organization | Core | 4 | Digital Logic Circuits, Boolean Algebra, Combinational Circuits, Sequential Circuits, Memory Organization, CPU Architecture |
| 22UITA11 | Allied - I : Discrete Mathematics | Allied | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics, Lattices and Boolean Algebra |
| 22UITS11 | Skill Based - I : Office Automation | Skill Based | 2 | Word Processing (MS Word), Spreadsheet Applications (MS Excel), Presentation Software (MS PowerPoint), Database Management (MS Access), Internet and Email Concepts |
| 22UITP11 | Practical - I : Python Programming Lab | Practical | 2 | Python Program Development, Conditional and Loop Constructs, Function Implementation, List and Dictionary Operations, File Operations |
| 22UITP12 | Practical - II : Office Automation Lab | Practical | 2 | Creating Documents with MS Word, Data Analysis with MS Excel, Designing Presentations with MS PowerPoint, Database Creation and Queries in MS Access, Internet Browsing and Email Management |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22ULTL21 | Part-I Tamil / Other Language - II | Language | 3 | Epic Literature, Sangam Literature, Literary Movements, Creative Writing, Cultural Aspects |
| 22ULEL21 | Part-II English - II | Language | 3 | Advanced Grammar and Punctuation, Essay Writing, Formal and Informal Communication, Report Writing, Soft Skills |
| 22UITC21 | Core - III : Object Oriented Programming with C++ | Core | 4 | OOP Concepts (Encapsulation, Inheritance, Polymorphism), Classes and Objects, Constructors and Destructors, Operator Overloading, Virtual Functions and Abstract Classes, File Handling and Exception Handling |
| 22UITC22 | Core - IV : Data Structures | Core | 4 | Arrays and Pointers, Stacks and Queues, Linked Lists (Singly, Doubly, Circular), Trees (Binary, BST, AVL), Graphs (Traversal Algorithms), Sorting and Searching Algorithms |
| 22UITA21 | Allied - II : Accounting for IT Professionals | Allied | 4 | Fundamentals of Accounting, Financial Statements (P&L, Balance Sheet), Cost Accounting, Budgeting Techniques, Taxation Basics, Computerized Accounting Systems |
| 22UITS21 | Skill Based - II : RDBMS | Skill Based | 2 | Database Concepts, Relational Model, SQL Commands (DDL, DML, DCL), Normalization, Views, Stored Procedures, Triggers, Transaction Management |
| 22UITP21 | Practical - III : C++ Programming Lab | Practical | 2 | C++ Program Implementation for OOP, Class and Object Creation, Inheritance and Polymorphism Exercises, File I/O Operations, Template Programming |
| 22UITP22 | Practical - IV : RDBMS Lab | Practical | 2 | SQL Query Writing (Select, Insert, Update, Delete), Table Creation and Alteration, Implementing Joins and Subqueries, Stored Procedure and Trigger Development, Database Administration Tasks |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22UITC31 | Core - V : Operating Systems | Core | 4 | Operating System Concepts, Process Management, CPU Scheduling Algorithms, Memory Management Techniques, File System Management, Deadlocks |
| 22UITC32 | Core - VI : Java Programming | Core | 4 | Java Fundamentals, Object-Oriented Programming in Java, Packages and Interfaces, Exception Handling, Multithreading, Applets and AWT |
| 22UITA31 | Allied - III : Financial Management | Allied | 4 | Objectives of Financial Management, Sources of Finance, Capital Budgeting Decisions, Working Capital Management, Dividend Policy, Financial Ratio Analysis |
| 22UITS31 | Skill Based - III : Web Programming | Skill Based | 2 | HTML Structure and Elements, CSS Styling and Layouts, JavaScript for Client-Side Scripting, DOM Manipulation, Form Handling and Validation, Basic Web Design Principles |
| 22UITP31 | Practical - V : Java Programming Lab | Practical | 2 | Java Program Development, Implementing OOP Features, GUI Development with AWT/Swing, Exception Handling Practice, JDBC Connectivity |
| 22UITP32 | Practical - VI : Web Programming Lab | Practical | 2 | Creating Static HTML Pages, Applying CSS Styles, Developing Interactive JavaScript Functions, Building Web Forms, Responsive Web Design Basics |
| 22UVIC31 | Part-IV Value Education | Elective (Part IV) | 2 | Human Values and Ethics, Professional Ethics, Social Responsibility, Environmental Ethics, Stress Management, Yoga and Meditation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22UITC41 | Core - VII : Data Communication and Networking | Core | 4 | Network Models (OSI, TCP/IP), Data Transmission Media, Network Devices (Hubs, Switches, Routers), Network Topologies, Protocols (TCP, UDP, IP), Basic Network Security |
| 22UITC42 | Core - VIII : Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management, Maintenance and Reengineering |
| 22UITA41 | Allied - IV : Operations Research | Allied | 4 | Linear Programming, Simplex Method, Transportation Problem, Assignment Problem, Game Theory, Network Analysis (PERT/CPM) |
| 22UITS41 | Skill Based - IV : Graphics and Multimedia | Skill Based | 2 | Graphics Primitives and Algorithms, 2D and 3D Transformations, Color Models, Image Processing Basics, Animation Techniques, Multimedia Authoring Tools |
| 22UITP41 | Practical - VII : Data Communication & Networking Lab | Practical | 2 | Network Cable Crimping, IP Addressing and Subnetting, Network Configuration (Router, Switch), Packet Tracing and Analysis, Socket Programming Basics |
| 22UITP42 | Practical - VIII : Graphics and Multimedia Lab | Practical | 2 | Graphics Programming (e.g., using C/C++/Java), Image Editing and Manipulation, Creating Simple Animations, Video Editing Basics, Developing Multimedia Presentations |
| 22UEVS41 | Part-IV Environmental Studies | Elective (Part IV) | 2 | Natural Resources and Ecosystems, Biodiversity and Conservation, Environmental Pollution, Social Issues and the Environment, Human Population and Environment, Disaster Management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22UITC51 | Core - IX : Data Analytics | Core | 4 | Introduction to Data Analytics, Data Collection and Cleaning, Exploratory Data Analysis (EDA), Statistical Methods for Data Analysis, Data Visualization Techniques, Predictive Modeling Fundamentals |
| 22UITC52 | Core - X : Python for Data Science | Core | 4 | Python Libraries for Data Science (NumPy, Pandas), Data Manipulation and Cleaning with Pandas, Data Visualization with Matplotlib/Seaborn, Statistical Modeling using Scikit-learn, Machine Learning Algorithms (Regression, Classification), Data Storytelling |
| 22UITE5A | Elective - I : Cloud Computing (Option Chosen) | Elective | 4 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization, Cloud Security, Introduction to AWS/Azure Services |
| 22UITE5D | Elective - II : Artificial Intelligence (Option Chosen) | Elective | 4 | Introduction to AI, Problem Solving with AI (Search Algorithms), Knowledge Representation, Machine Learning Basics, Expert Systems, Neural Networks Fundamentals |
| 22UITS51 | Skill Based - V : Open Source Technology | Skill Based | 2 | Introduction to Linux Operating System, Open Source Software Development, LAMP Stack (Linux, Apache, MySQL, PHP/Python), Version Control Systems (Git), Open Source Licensing |
| 22UITP51 | Practical - IX : Python for Data Science Lab | Practical | 2 | Data Import and Cleaning using Pandas, Implementing Data Visualization, Performing Statistical Analysis, Developing Predictive Models (Regression, Classification), Clustering Techniques using Scikit-learn |
| 22UITP52 | Practical - X : Mini Project | Project | 2 | Project Planning and Requirement Analysis, System Design and Implementation, Testing and Debugging, Project Documentation, Presentation Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22UITC61 | Core - XI : Web Technology | Core | 4 | Advanced HTML5 and CSS3, JavaScript Frameworks (e.g., React, Angular), Backend Development with Node.js/Python, RESTful APIs, Database Integration for Web Applications, Web Security Fundamentals |
| 22UITC62 | Core - XII : Cryptography and Network Security | Core | 4 | Symmetric and Asymmetric Cryptography, Hashing Algorithms, Digital Signatures and Certificates, Firewalls and Intrusion Detection Systems, Virtual Private Networks (VPN), Cyber Forensics Basics |
| 22UITE6A | Elective - III : Machine Learning (Option Chosen) | Elective | 4 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Deep Learning Introduction, Model Evaluation and Validation, Scikit-learn Library, TensorFlow/Keras Basics |
| 22UITS61 | Skill Based - VI : Professional Ethics and Human Values | Skill Based | 2 | Ethical Theories, Professionalism in IT, Workplace Ethics, Cyber Ethics and Privacy, Corporate Social Responsibility, Intellectual Property Rights |
| 22UITP61 | Practical - XI : Web Technology Lab | Practical | 2 | Full-stack Web Application Development, Frontend Framework Implementation, Backend API Creation and Consumption, Database Integration for Web Apps, Web Hosting and Deployment |
| 22UITP62 | Practical - XII : Project Work (Major) | Project | 5 | Comprehensive System Analysis and Design, Advanced Programming and Implementation, Extensive Testing and Quality Assurance, Professional Project Report Writing, Project Presentation and Viva-Voce |
| 22UITP63 | Practical - XIII : Internship / In-Plant Training | Practical (Internship) | 2 | Practical Industry Exposure, Application of Academic Knowledge in Real-world, Industry Best Practices and Tools, Internship Report Writing, Professional Skill Development |
