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BCA in General at Siksha 'O' Anusandhan
Khordha, Odisha
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About the Specialization
What is General at Siksha 'O' Anusandhan Khordha?
This Bachelor of Computer Applications (BCA) program at Siksha ''''O'''' Anusandhan focuses on building a strong foundation in computer applications and programming for a dynamic career in the IT sector. It integrates core computer science principles with practical application, aligning with the growing demand for skilled professionals in India''''s digital economy. The curriculum emphasizes both theoretical knowledge and hands-on experience, preparing students for diverse roles in technology.
Who Should Apply?
This program is ideal for 10+2 graduates with an aptitude for mathematics or computer science who aspire to a career in software development, data analysis, or IT support. It suits freshers seeking entry into the burgeoning Indian tech industry and those looking to develop fundamental programming and logical skills for advanced studies or immediate employment. Prior exposure to basic programming is beneficial but not strictly mandatory.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Junior Software Developer, Web Developer, Data Analyst, or IT Support Specialist in Indian companies and MNCs. Entry-level salaries typically range from INR 2.5 LPA to 4.5 LPA, with significant growth potential as experience increases. The program provides a solid base for pursuing higher education like MCA or MBA in IT, and aligns with industry certifications in programming and databases.
Student Success Practices
Foundation Stage
Master Core Programming Logic- (Semester 1-2)
Dedicate consistent time to practice C and C++ programming, focusing on fundamental logic, data structures, and object-oriented principles. Regularly solve coding problems on platforms to solidify understanding and build problem-solving acumen.
Tools & Resources
HackerRank, LeetCode (easy level), GeeksforGeeks, NPTEL courses on C/C++, CodeBlocks/VS Code
Career Connection
Strong foundational programming skills are critical for passing technical interviews and excelling in any software development or IT support role in India.
Build a Strong Mathematical Base- (Semester 1-2)
Actively participate in Engineering Mathematics and Discrete Mathematics classes. Solve problems rigorously and understand the application of concepts in computing, especially for algorithms, logic design, and later data science topics.
Tools & Resources
Khan Academy, NPTEL Mathematics lectures, Textbook exercises, Online math problem solvers
Career Connection
A robust mathematical background is essential for advanced computer science concepts like AI, Machine Learning, and Algorithm Design, paving the way for specialized roles and competitive exams.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups with peers to discuss concepts, work through challenging problems, and collaborate on small academic projects. Share knowledge, learn from different perspectives, and develop essential teamwork abilities.
Tools & Resources
GitHub for code sharing, Google Docs for collaborative documentation, Discord/WhatsApp for communication, University''''s academic clubs
Career Connection
Enhances problem-solving skills, improves teamwork and communication, which are highly valued by Indian employers for entry-level technical positions.
Intermediate Stage
Develop Database & Web Development Skills- (Semester 3-4)
Beyond classroom learning, undertake personal projects involving full-stack web development (HTML, CSS, JavaScript, a backend language like Python/PHP, and SQL databases). Build a portfolio of functional web applications to showcase practical abilities.
Tools & Resources
W3Schools, MDN Web Docs, MySQL/PostgreSQL, VS Code, Online tutorials, Free hosting services for practice
Career Connection
Directly applicable to roles as Web Developer, Database Administrator, or Backend Developer, which are consistently in high demand across the Indian IT market.
Explore Data Science & Visualization Tools- (Semester 3-4)
Start experimenting with Python libraries like Pandas, NumPy, Matplotlib, and Seaborn for data manipulation and visualization. Work on small datasets available online (e.g., from Kaggle) to gain practical experience and understand data insights.
Tools & Resources
Kaggle for datasets, Jupyter Notebook, Google Colab, Coursera/edX introductory courses on Data Science, Power BI/Tableau (for exploration)
Career Connection
Prepares students for roles as Data Analyst, Business Intelligence Analyst, or aspiring Data Scientist in various industries across India, a rapidly growing sector.
Participate in Hackathons & Coding Competitions- (Semester 3-4)
Actively seek out and participate in university-level or inter-college hackathons and coding competitions. This provides exposure to real-world problem-solving under pressure and invaluable networking opportunities with peers and industry mentors.
Tools & Resources
Major competition platforms (e.g., ICPC, Google Hash Code, university-specific hackathon portals), Coding event listing sites
Career Connection
Builds a strong resume, demonstrates practical problem-solving ability, and connects students with industry professionals and potential employers for internships and placements.
Advanced Stage
Focus on Specialization & Advanced Technologies- (Semester 5-6)
Deep dive into elective areas like Machine Learning, Mobile App Development, or Cyber Security based on personal interest. Undertake complex projects in these areas, perhaps culminating in your final year project, to build specialized expertise.
Tools & Resources
TensorFlow/PyTorch for ML, Android Studio/Xcode for mobile dev, Specialized security tools for cyber security, Advanced online courses and certifications
Career Connection
Develops expertise for specialized roles such as Machine Learning Engineer, Mobile App Developer, or Cyber Security Analyst, which command higher salaries and offer niche career paths.
Prepare for Placements and Internships- (Semester 5-6)
Polish your resume, practice aptitude tests, and participate in mock interviews arranged by the placement cell. Seek out and complete an industry internship to gain invaluable practical experience and build a professional network before graduation.
Tools & Resources
Placement cell resources, LinkedIn, Online aptitude platforms (e.g., indiabix, PrepInsta), Interview preparation guides, Company websites for job openings
Career Connection
Crucial for securing a good placement, understanding corporate culture, and transitioning smoothly from academia to the professional world, maximizing career launch opportunities.
Develop Communication & Professional Skills- (Semester 5-6)
Actively work on presentation skills, technical writing, and professional communication. Participate in seminars, workshops, and deliver project presentations to enhance soft skills, which are vital for career progression.
Tools & Resources
Toastmasters International (if available), University soft skill training programs, Public speaking clubs, Online courses on professional communication
Career Connection
Essential for effective collaboration, client interaction, and career progression in any role, complementing strong technical skills for a well-rounded professional profile sought by employers.
Program Structure and Curriculum
Eligibility:
- Pass or appearing in 10+2 Examination of CHSE, Odisha or equivalent with Mathematics / Computer Science / Statistics / Information Technology / Information Practice / Biotechnology / Biology / Technical Vocational subject / Agriculture as one of the subjects with at least 45% marks in aggregate (40% in case of candidate belonging to SC / ST / OBC category) and age limit of 21 years on 01.07.2020 for general category and 24 years for SC / ST / OBC category.
Duration: 3 years (6 semesters)
Credits: 132 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS101 | Engineering Mathematics - I | Basic Science | 4 | Calculus of One Variable, Sequences and Series, Functions of Several Variables, Matrices, Vector Calculus |
| HS101 | English Communication | Humanities & Social Science | 3 | Communication Fundamentals, Grammar & Vocabulary, Writing Skills, Listening & Speaking Skills, Presentation Techniques |
| PCC101 | Introduction to Programming using C | Program Core Course | 3 | C Language Basics, Control Flow Statements, Arrays & Strings, Functions & Pointers, Structures & Files |
| PCC102 | Digital Logic Design | Program Core Course | 3 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| PCC103 | Data Communication | Program Core Course | 3 | Network Fundamentals, Data Transmission, Network Topologies, OSI Model, TCP/IP |
| PCC104 | Lab (C Programming) | Program Core Course | 2 | C Programming Exercises, Debugging Techniques, File Operations, Basic Data Structures in C |
| PCC105 | Lab (Digital Logic Design) | Program Core Course | 2 | Logic Gates Implementation, Combinational Circuit Design, Sequential Circuit Design, Truth Tables Verification |
| PCC106 | Lab (Data Communication) | Program Core Course | 2 | Network Configuration, Protocol Analysis, Socket Programming Basics, Network Utilities |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS201 | Engineering Mathematics - II | Basic Science | 4 | Differential Equations, Laplace Transform, Fourier Series, Probability & Statistics, Complex Numbers |
| HS201 | Environmental Science | Humanities & Social Science | 3 | Ecology & Ecosystems, Environmental Pollution, Natural Resources, Biodiversity, Sustainable Development |
| PCC201 | Data Structures | Program Core Course | 3 | Arrays & Linked Lists, Stacks & Queues, Trees & Graphs, Searching & Sorting Algorithms, Hashing Techniques |
| PCC202 | Object-Oriented Programming using C++ | Program Core Course | 3 | OOP Concepts, Classes & Objects, Inheritance, Polymorphism, Exception Handling |
| PCC203 | Computer Organization & Architecture | Program Core Course | 3 | CPU Structure, Memory Hierarchy, I/O Organization, Instruction Set Architecture, Pipelining |
| PCC204 | Operating Systems | Program Core Course | 3 | OS Concepts, Process Management, Memory Management, File Systems, Deadlocks |
| PCC205 | Lab (Data Structures) | Program Core Course | 2 | Implementation of Data Structures, Algorithm Analysis, Performance Testing, Problem Solving |
| PCC206 | Lab (OOP using C++) | Program Core Course | 2 | C++ Programming, Object-Oriented Design, Inheritance Implementation, Polymorphism Examples |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC301 | Discrete Mathematics | Program Core Course | 3 | Set Theory, Logic & Proof Techniques, Relations & Functions, Graph Theory, Combinatorics |
| PCC302 | Database Management System | Program Core Course | 3 | Database Concepts, Relational Model, SQL Queries, Normalization, Transaction Management |
| PCC303 | Design and Analysis of Algorithms | Program Core Course | 3 | Algorithm Efficiency, Divide & Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| PCC304 | Web Technologies | Program Core Course | 3 | HTML, CSS, JavaScript, Web Servers, Client-Server Architecture, DOM Manipulation, AJAX |
| PCC305 | Data Science & Visualization | Program Core Course | 3 | Introduction to Data Science, Data Cleaning & Preprocessing, Data Visualization Techniques, Basic Machine Learning Concepts, Python for Data Science |
| PCC306 | Lab (DBMS) | Program Core Course | 2 | SQL Practice, Database Design, Stored Procedures, Report Generation, Query Optimization |
| PCC307 | Lab (Web Technologies) | Program Core Course | 2 | Web Page Development, JavaScript Interactivity, Responsive Design, CSS Frameworks, Basic Server-Side Scripting |
| PCC308 | Lab (Data Science & Visualization) | Program Core Course | 2 | Python for Data Analysis, Data Visualization Tools, Statistical Analysis, Predictive Modeling Basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC401 | Artificial Intelligence | Program Core Course | 3 | AI Fundamentals, Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems |
| PCC402 | Software Engineering | Program Core Course | 3 | Software Development Life Cycle, Requirements Engineering, Design Principles, Software Testing, Project Management |
| PCC403 | Computer Networks | Program Core Course | 3 | Network Protocols, Routing Algorithms, IP Addressing, Network Security Basics, Wireless Networks |
| PEC401 | Program Elective - I (Python Programming) | Program Elective Course | 3 | Python Basics, Data Structures in Python, Functions & Modules, Object-Oriented Python, File I/O |
| PCC404 | Lab (AI) | Program Core Course | 2 | AI Algorithm Implementation, Machine Learning Libraries, Problem Solving with AI, Search Algorithms Coding |
| PCC405 | Lab (Software Engineering) | Program Core Course | 2 | Software Design Tools, Testing Frameworks, Version Control Systems, Project Documentation |
| PEC402 | Lab (Program Elective - I) | Program Elective Course | 2 | Python Scripting, Data Manipulation with Python, Library Usage, Web Scraping Basics |
| PBL401 | Project Based Learning (PBL) | Project Based Learning | 2 | Problem Identification, Project Planning, Implementation & Testing, Documentation, Presentation Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC501 | Computer Graphics | Program Core Course | 3 | Graphics Primitives, Transformations, Viewing & Projection, Shading & Texturing, Animation Techniques |
| PCC502 | Data Mining | Program Core Course | 3 | Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Techniques, Predictive Analytics |
| PCC503 | Full Stack Development | Program Core Course | 3 | Front-end Technologies, Back-end Frameworks, Database Integration, API Development, Deployment Strategies |
| PEC501 | Program Elective - II (Mobile Application Development) | Program Elective Course | 3 | Android/iOS Basics, UI/UX Design for Mobile, Data Storage in Apps, API Integration, App Deployment |
| OE501 | Open Elective - I | Open Elective Course | 3 | Interdisciplinary Studies, Skill Enhancement, Current Affairs, Critical Thinking, General Knowledge |
| PCC504 | Lab (Data Mining) | Program Core Course | 2 | Data Mining Tools, Classification Algorithms, Clustering Techniques, Predictive Modeling |
| PCC505 | Lab (Full Stack Development) | Program Core Course | 2 | Web Development Projects, Front-end Frameworks, Back-end API Implementation, Database Connectivity |
| PEC502 | Lab (Program Elective - II) | Program Elective Course | 2 | Mobile UI Design, App Logic Implementation, Mobile App Testing, Publishing Apps |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC601 | Machine Learning | Program Core Course | 3 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation, Reinforcement Learning |
| PEC601 | Program Elective - III (Cyber Security) | Program Elective Course | 3 | Network Security, Cryptography, Web Security, Malware Analysis, Incident Response |
| OE601 | Open Elective - II | Open Elective Course | 3 | Professional Ethics, Entrepreneurship, Stress Management, Personality Development, Social Responsibility |
| Project601 | Project Work | Project | 10 | Project Definition, Literature Review, System Design, Implementation & Testing, Documentation & Presentation |
| Internship601 | Internship / Skill Based Learning | Internship | 6 | Industry Exposure, Practical Skill Application, Report Writing, Professional Networking, Real-world Problem Solving |
