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BSC in Computer Technology at Sri Ramakrishna College of Arts and Science (Autonomous)
Coimbatore, Tamil Nadu
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About the Specialization
What is Computer Technology at Sri Ramakrishna College of Arts and Science (Autonomous) Coimbatore?
This BSc Computer Technology program at Sri Ramakrishna College of Arts and Science focuses on providing a robust foundation in computer science with an emphasis on modern technologies. The curriculum is designed to meet the evolving demands of the Indian IT industry, incorporating subjects like Data Science, Big Data, and Machine Learning. It prepares students for diverse roles in software development, data analytics, and IT infrastructure.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into the dynamic IT and data science fields in India. It also caters to individuals with a strong aptitude for problem-solving and a keen interest in technological innovation. Students from a science background with foundational knowledge in Computer Science or Mathematics are particularly well-suited for this comprehensive degree.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Software Developers, Data Analysts, Web Developers, and IT Support Specialists. Entry-level salaries typically range from INR 3-5 LPA, with experienced professionals earning significantly more in leading tech hubs. The curriculum aligns with industry certifications in Python, Java, and Cloud technologies, enhancing employability and growth trajectories in Indian companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate extra time in Semesters 1 and 2 to solidify foundational programming concepts in C and Python. Actively solve problems on platforms like HackerRank or CodeChef to build logical thinking and coding proficiency.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Official course textbooks
Career Connection
Strong programming fundamentals are crucial for all IT roles, forming the bedrock for advanced subjects and demonstrating core problem-solving ability in placements.
Engage Actively in Lab Sessions- (Semester 1-2)
Treat lab sessions not just as completion tasks, but as opportunities to experiment and understand concepts deeply. Seek help from faculty and peers to debug and optimize your code, and maintain a detailed lab journal.
Tools & Resources
IDE (VS Code, Eclipse), Online debuggers, Peer study groups
Career Connection
Practical skills gained in labs are highly valued by employers. Proficiency in hands-on application translates directly to readiness for technical roles and projects.
Build a Strong Academic Network- (Semester 1-2)
Participate in departmental clubs, academic competitions, and peer learning initiatives. Collaborate with classmates on assignments and projects to enhance understanding and develop teamwork skills.
Tools & Resources
College technical clubs, Inter-college coding contests, Departmental workshops
Career Connection
Networking opens doors to learning opportunities, mentorship, and future job referrals. Collaborative skills are essential for working in cross-functional teams in the industry.
Intermediate Stage
Deep Dive into Data Structures & Algorithms- (Semester 3-4)
Beyond coursework, dedicate time to practice advanced data structures and algorithms. Platforms like LeetCode are excellent for preparing for technical interviews, a common requirement in Indian tech companies.
Tools & Resources
LeetCode, InterviewBit, Algorithm textbooks
Career Connection
Mastery of DSA is a critical filter for product-based company placements and high-paying developer roles, signifying strong analytical and problem-solving capabilities.
Explore and Specialize through Electives- (Semester 3-4)
Carefully choose electives in Semesters 3 and 4 that align with your career interests (e.g., Data Mining for Data Science, Software Engineering for Development). Supplement with online courses (Coursera, NPTEL) in your chosen domain.
Tools & Resources
Coursera, NPTEL, Udemy, LinkedIn Learning
Career Connection
Specialized knowledge from electives and online courses helps you stand out in niche fields, demonstrating focused expertise for targeted roles and advanced studies.
Start Building a Portfolio of Mini-Projects- (Semester 3-5)
Apply theoretical knowledge by developing small personal projects using technologies learned (Java, Databases, Web). Document your projects on GitHub, even if they are simple, to showcase your practical skills.
Tools & Resources
GitHub, Jupyter Notebooks, Local development environments
Career Connection
A strong project portfolio is invaluable for demonstrating hands-on experience to recruiters, often weighing as much as or more than academic scores for entry-level positions.
Advanced Stage
Undertake a Meaningful Internship- (Semester 5 (Summer Break or during 5th semester))
Actively seek and complete a relevant internship during your penultimate year. Focus on gaining hands-on industry experience, learning professional workflows, and networking with professionals.
Tools & Resources
Internshala, LinkedIn, College placement cell
Career Connection
Internships are often the most direct route to pre-placement offers (PPOs) and provide invaluable real-world exposure, significantly boosting employability and understanding of corporate environments.
Focus on Industry-Relevant Project Development- (Semester 5-6)
For your Major Project in Semesters 5 & 6, choose a complex problem statement that uses cutting-edge technologies (e.g., AI/ML, Cloud, Big Data). Aim for a demonstrable solution that solves a real-world problem.
Tools & Resources
Cloud platforms (AWS/Azure/GCP free tier), TensorFlow/PyTorch, Hadoop/Spark
Career Connection
A well-executed, impactful final year project is a powerful resume booster and a strong talking point in interviews, showcasing your ability to deliver comprehensive solutions.
Master Interview Skills and Soft Skills- (Semester 5-6)
Participate in mock interviews, group discussions, and resume-building workshops organized by the college''''s placement cell. Practice communication, analytical, and behavioral skills consistently.
Tools & Resources
Placement cell workshops, Online interview platforms, Career counseling
Career Connection
Even with strong technical skills, good communication and presentation are essential for securing jobs. These skills are crucial for converting interview opportunities into successful placements in competitive Indian job markets.
Program Structure and Curriculum
Eligibility:
- A pass in Higher Secondary Examination (10+2) or equivalent with Computer Science / Mathematics / Business Mathematics / Statistics / Computer Applications / Information Technology / Physics / Chemistry / Electronics as one of the subjects.
Duration: 3 years (6 semesters)
Credits: 143 Credits
Assessment: Internal: 25% (Theory), 40% (Practical/Project), External: 75% (Theory), 60% (Practical/Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTA01 / 23UAHI01 / 23UMAL01 / 23UKAN01 / 23USAN01 / 23UFRN01 | Part I Language – I (Tamil-I / Hindi-I / Malayalam-I / Kannada-I / Sanskrit-I / French-I) | Core Language | 3 | Poetry, Prose, Grammar, Short Stories, Drama/Play |
| 23UCTA02 | English – I | Core Language | 3 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Literary Analysis, Writing Skills |
| 23UCTP01 | Problem Solving using C | Core | 4 | Fundamentals of C Language, Decision Making and Branching, Looping and Arrays, Functions and Pointers, Structures, Unions, and Files |
| 23UCTP02 | Digital Fundamentals and Computer Architecture | Core | 4 | Number Systems and Logic Gates, Combinational and Sequential Logic, Basic Computer Organization, Central Processing Unit, Input-Output and Memory Organization |
| 23UCTL01 | Problem Solving using C Lab | Core Lab | 2 | Practical application of C programming constructs, Implementing conditional statements and loops, Working with arrays and functions, Pointer operations and file handling, Debugging and problem-solving |
| 23UCTN01 | Python Programming | Skill Enhancement Course | 2 | Python Fundamentals, Control Flow Statements, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries), Object-Oriented Programming |
| 23UCTN02 | Python Programming Lab | Skill Enhancement Course Lab | 2 | Hands-on Python coding exercises, Implementing control structures, Developing functions and using modules, Manipulating various data structures, Practical OOP concepts in Python |
| 23UACN01 | Professional Communication | Ability Enhancement Course | 2 | Basics of Communication, Verbal and Non-verbal Communication, Presentation Skills, Report Writing, Interview Skills |
| 23UENV01 | Environmental Studies (Common) | Value Education Course | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Social Issues and Environment, Environmental Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTA03 / 23UAHI02 / 23UMAL02 / 23UKAN02 / 23USAN02 / 23UFRN02 | Part I Language – II (Tamil-II / Hindi-II / Malayalam-II / Kannada-II / Sanskrit-II / French-II) | Core Language | 3 | Advanced Poetry, Advanced Prose, Grammar Refinement, Literary Criticism, Translation Practice |
| 23UCTA04 | English – II | Core Language | 3 | Advanced Communication, Public Speaking, Creative Writing, Critical Reading, Group Discussion Techniques |
| 23UCTP03 | Object Oriented Programming using C++ | Core | 4 | OOP Concepts and C++ Fundamentals, Classes and Objects, Constructors, Destructors, and Operator Overloading, Inheritance and Polymorphism, Templates, Exceptions, and File Handling |
| 23UCTP04 | Data Structures | Core | 4 | Introduction to Data Structures, Arrays, Stacks, and Queues, Linked Lists, Trees, Graphs and Hashing |
| 23UCTL02 | Object Oriented Programming using C++ Lab | Core Lab | 2 | Implementing C++ classes and objects, Demonstrating constructor and destructor usage, Applying inheritance and polymorphism, Working with operator overloading, File I/O and exception handling |
| 23UCTN03 | HTML, CSS & JavaScript | Skill Enhancement Course | 2 | HTML Structure and Elements, CSS Styling and Layouts, JavaScript Fundamentals, DOM Manipulation and Event Handling, Web Forms and Validation |
| 23UCTN04 | HTML, CSS & JavaScript Lab | Skill Enhancement Course Lab | 2 | Creating web pages with HTML5, Styling pages using CSS3, Adding interactivity with JavaScript, Implementing form validation, Building responsive web designs |
| 23UACN02 | Reasoning Ability | Ability Enhancement Course | 2 | Verbal Reasoning, Non-Verbal Reasoning, Analytical Reasoning, Logical Deductions, Problem Solving Strategies |
| 23UVE01 | Yoga for Human Excellence | Value Education Course | 2 | Introduction to Yoga, Asanas and Pranayama, Meditation Techniques, Stress Management, Holistic Well-being |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTP05 | Java Programming | Core | 4 | Java Fundamentals and OOP, Packages, Interfaces, and Exception Handling, Multithreading and I/O Operations, Applets and AWT, Event Handling and Swing |
| 23UCTP06 | Operating Systems | Core | 4 | OS Introduction and Structures, Process Management, CPU Scheduling and Deadlocks, Memory Management, File Systems and I/O Systems |
| 23UCTL03 | Java Programming Lab | Core Lab | 2 | Implementing Java OOP concepts, Developing multi-threaded applications, Working with I/O streams and file operations, Creating GUI applications using AWT/Swing, Handling events in Java |
| 23UECS01 | Elective I (Computer Graphics / Software Engineering / Discrete Mathematics) | Elective | 4 | Topics depend on chosen elective, Computer Graphics: Output Primitives, Transformations, 3D Concepts, Software Engineering: Software Models, Requirements, Design, Testing, Discrete Mathematics: Logic, Set Theory, Graph Theory, Combinatorics |
| 23UCTN05 | R Programming | Skill Enhancement Course | 2 | Introduction to R, R Data Structures, Functions and Control Statements, Data Manipulation with dplyr, Data Visualization with ggplot2 |
| 23UCTN06 | R Programming Lab | Skill Enhancement Course Lab | 2 | Hands-on R scripting, Working with R data types and structures, Implementing statistical functions, Performing data cleaning and transformation, Creating various plots and visualizations |
| 23UECN01 | Computerized Accounting using Tally | Generic Elective Course | 2 | Introduction to Tally ERP 9, Company Creation and Chart of Accounts, Inventory Management, Voucher Entries and Financial Statements, GST and Payroll Management |
| 23UMAS01 | Quantitative Aptitude | Ability Enhancement Course | 2 | Number Systems and HCF/LCM, Percentages, Profit and Loss, Time and Work, Time and Distance, Averages and Ratio & Proportion, Data Interpretation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTP07 | Database Management Systems | Core | 4 | Database Concepts and Architecture, Relational Model, SQL Queries and Constraints, Database Design (ER Model, Normalization), Transaction Management and Concurrency Control |
| 23UCTP08 | Web Technology | Core | 4 | Web Architecture and Protocols, Server-Side Scripting (PHP), Database Connectivity (PHP MySQL), XML and AJAX, Web Security and Services |
| 23UCTL04 | Database Management Systems Lab | Core Lab | 2 | Designing relational databases, Executing DDL and DML commands, Implementing SQL joins and subqueries, Creating views and stored procedures, Database connectivity using programming languages |
| 23UECS02 | Elective II (Data Mining / Artificial Intelligence / Multimedia Systems) | Elective | 4 | Topics depend on chosen elective, Data Mining: Data Preprocessing, Association Rules, Classification, Clustering, Artificial Intelligence: Problem Solving, Knowledge Representation, Learning, NLP, Multimedia Systems: Text/Image/Audio/Video processing, Compression, Hypermedia |
| 23UCTN07 | Mobile Application Development | Skill Enhancement Course | 2 | Introduction to Android, User Interface Design, Data Storage and Networking, Location-Based Services, Publishing Android Apps |
| 23UCTN08 | Mobile Application Development Lab | Skill Enhancement Course Lab | 2 | Developing Android layouts and UI elements, Implementing data storage solutions (SQLite), Integrating network services, Building location-aware applications, Testing and debugging mobile apps |
| 23UACC01 | Advanced Excel | Generic Elective Course | 2 | Advanced Formulas and Functions, Data Validation and Conditional Formatting, PivotTables and PivotCharts, Data Analysis Tools (Goal Seek, Solver), Macros and VBA Basics |
| 23UACN04 | Holistic Development | Ability Enhancement Course | 2 | Self-Awareness and Self-Management, Emotional Intelligence, Interpersonal Skills, Leadership and Teamwork, Time Management and Goal Setting |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTP09 | Computer Networks | Core | 4 | Network Fundamentals and Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer, Transport and Application Layer |
| 23UCTP10 | .NET Programming | Core | 4 | .NET Framework and C# Fundamentals, Object-Oriented Programming in C#, Windows Forms Applications, ADO.NET and Database Connectivity, ASP.NET Web Applications |
| 23UCTL05 | .NET Programming Lab | Core Lab | 2 | Developing C# console and Windows Forms applications, Implementing OOP principles in C#, Connecting to databases using ADO.NET, Building basic ASP.NET web applications, Debugging and error handling in .NET |
| 23UECS03 | Elective III (Cloud Computing / Internet of Things / Cyber Security) | Elective | 4 | Topics depend on chosen elective, Cloud Computing: Fundamentals, Architectures, Virtualization, Security, Internet of Things: IoT Fundamentals, Sensors, Protocols, Platforms, Cyber Security: Fundamentals, Network Security, Cryptography, Attacks |
| 23UCTN09 | Office Automation | Skill Enhancement Course | 2 | Word Processing (MS Word), Spreadsheets (MS Excel), Presentations (MS PowerPoint), Database Management (MS Access), Email and Collaboration Tools |
| 23UCTP11 | Major Project | Project | 4 | Project planning and scope definition, System design and architecture, Implementation and coding, Testing and debugging, Documentation and presentation |
| 23UINP01 | Internship (Industry / Institution) | Internship | 2 | Practical industry exposure, Application of theoretical knowledge, Professional skill development, Networking and mentorship, Project-based learning |
| 23UACN05 | Entrepreneurship Development | Ability Enhancement Course | 2 | Concepts of Entrepreneurship, Business Plan Development, Funding and Marketing Strategies, Legal and Ethical Aspects, Innovation and Creativity |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23UCTP12 | Data Science using Python | Core | 4 | Data Science Introduction, NumPy and Pandas for Data Manipulation, Data Visualization with Matplotlib/Seaborn, Machine Learning with Scikit-learn, Statistical Analysis and Modeling |
| 23UCTP13 | Big Data Analytics | Core | 4 | Big Data Fundamentals and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Big Data Applications and Tools |
| 23UCTP14 | Web Services | Core | 4 | Web Services Introduction, SOAP and WSDL, RESTful Web Services, XML and JSON for Data Exchange, Security in Web Services |
| 23UCTP15 | Machine Learning | Core | 4 | ML Fundamentals and Types, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Basics, Model Evaluation and Deployment |
| 23UCTL06 | Data Science using Python Lab | Core Lab | 2 | Performing data cleaning and preprocessing with Pandas, Implementing data visualization techniques, Building and evaluating machine learning models, Applying statistical analysis using Python libraries, Working with real-world datasets |
| 23UCTP16 | Major Project & Viva-Voce | Project | 4 | Advanced project development and implementation, Comprehensive system testing and validation, Project report preparation and thesis writing, Oral examination and presentation skills, Defense of project findings and methodology |
| 23UACN06 | Professional Ethics | Ability Enhancement Course | 2 | Ethical Theories and Principles, Ethics in Information Technology, Intellectual Property Rights, Privacy and Data Security, Social and Professional Responsibilities |
| 23UCTN10 | Mini Project | Skill Enhancement Course | 2 | Small-scale project planning and execution, Problem identification and solution design, Application of learned concepts in a practical scenario, Time management and resource allocation, Basic report writing and presentation |
| 23UEXT01 | Extension Activities (Common) | Extension | 1 | Community Engagement, Social Responsibility Initiatives, Outreach Programs, Volunteer Work, Skill-based Social Projects |
