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BACHELOR-OF-SCIENCE in Computer Science at Besant Women's College
Dakshina Kannada, Karnataka
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About the Specialization
What is Computer Science at Besant Women's College Dakshina Kannada?
This Computer Science program at Besant Women''''s College focuses on foundational and advanced computing principles, preparing students for dynamic careers in the Indian IT sector. It emphasizes core programming, data structures, and emerging technologies, fostering skilled professionals crucial for India''''s digital transformation and innovation landscape. The curriculum is designed to provide both theoretical knowledge and practical exposure within the framework set by Mangalore University.
Who Should Apply?
This program is ideal for fresh graduates with a science background, preferably including Mathematics or Computer Science at the 10+2 level, seeking entry into software development, data analysis, or IT support roles. It also suits individuals passionate about technology and problem-solving, aiming to build a strong foundation for higher studies or a robust career in various tech domains within India''''s growing economy.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Software Developer, Web Developer, Data Analyst, Quality Assurance Engineer, and IT Support Specialist. Entry-level salaries typically range from INR 2.5 LPA to 5 LPA, with significant growth potential. The program aligns with industry demands for skilled IT professionals, enabling strong career trajectories in Indian IT companies and startups.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Online Practice- (Semester 1-2)
Dedicate time each week to practicing basic programming concepts (C, Python) on online platforms. Focus on understanding data types, control structures, and simple algorithms before moving to complex problems to build a strong base.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, NPTEL online courses
Career Connection
A strong grasp of fundamentals is critical for cracking technical interviews and building efficient, error-free code, a primary requirement for any entry-level software development role in India.
Form Study Groups and Peer Learning Networks- (Semester 1-2)
Collaborate with classmates to discuss challenging concepts, solve problems together, and prepare for internal assessments. Teaching others solidifies your own understanding and exposes you to different problem-solving approaches, enhancing comprehension.
Tools & Resources
WhatsApp groups, Google Meet for discussions, Shared notes via Google Docs
Career Connection
Teamwork and effective communication skills, honed through group studies, are highly valued in corporate environments for collaborative project work and successful team integration.
Develop Strong Academic Habits and Time Management- (Semester 1-2)
Establish a consistent study schedule, prioritize tasks, and revise lecture notes regularly. Proactive learning and consistent effort from the beginning prevent last-minute stress and ensure a solid academic foundation across all subjects.
Tools & Resources
Google Calendar, Pomodoro Technique, Academic Planner apps
Career Connection
Discipline, organization, and effective time management are essential for managing multiple projects and meeting deadlines in any professional IT setting, leading to career efficiency.
Intermediate Stage
Engage in Mini-Projects and Open Source Contributions- (Semester 3-5)
Apply theoretical knowledge by building small projects using learned technologies (e.g., a simple web app, a database application). Explore open-source projects on GitHub to contribute and learn from real-world codebases, enhancing practical skills.
Tools & Resources
GitHub, Stack Overflow, Visual Studio Code, Udemy/Coursera for specific tech skills
Career Connection
Practical projects demonstrate your skills to potential employers and help build a portfolio, which is crucial for placements in Indian tech companies, showcasing tangible abilities.
Seek Internships and Industry Exposure- (Semester 3-5)
Actively look for short-term internships, even unpaid ones, during semester breaks or part-time. These provide invaluable real-world experience, expose you to industry practices, and help build professional networks, a critical step for career entry.
Tools & Resources
Internshala, LinkedIn, College Placement Cell
Career Connection
Internships are often a direct path to full-time employment and provide a competitive edge in India''''s job market, offering practical skills often tested in initial recruitment interviews.
Specialize in a Niche Technology and Earn Certifications- (Semester 3-5)
Identify an area of interest (e.g., Web Development, Data Science, Cyber Security) and deep-dive into it. Supplement your degree with industry-recognized certifications to validate your specialized skills and enhance marketability.
Tools & Resources
NPTEL, Coursera, Google/Microsoft Certifications, AWS Educate
Career Connection
Specialized skills and certifications make you a more attractive candidate for specific roles and often lead to better salary packages in a competitive Indian job market, accelerating career growth.
Advanced Stage
Undertake a Comprehensive Final Year Project- (Semester 6)
Select a challenging project that integrates multiple concepts learned throughout the degree. Focus on problem-solving, system design, implementation, and thorough documentation. Aim for an innovative or impactful solution to demonstrate mastery.
Tools & Resources
GitHub for version control, Project Management tools (Trello), Mentorship from faculty/industry experts
Career Connection
A strong final year project is a key talking point in interviews, showcasing your ability to deliver a complete solution and demonstrating readiness for complex engineering tasks in the professional world.
Intensive Placement Preparation and Mock Interviews- (Semester 6)
Begin rigorous preparation for aptitude tests, technical rounds, and HR interviews. Practice coding questions, review core CS concepts, and participate in mock interviews to refine your communication and problem-solving under pressure, improving readiness.
Tools & Resources
LeetCode, Glassdoor for company interview experiences, College Placement Cell for mock interviews
Career Connection
Thorough preparation is paramount for securing desirable placements in India''''s highly competitive tech recruitment drives, leading to direct entry into the industry with better job prospects.
Network Professionally and Explore Career Options- (Semester 6)
Attend industry seminars, workshops, and career fairs. Connect with alumni and professionals on platforms like LinkedIn to gain insights into different career paths, industry trends, and job opportunities post-graduation, expanding horizons.
Tools & Resources
LinkedIn, Professional Conferences (e.g., Nasscom events), Alumni Association portals
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and helps in making informed career decisions, which is vital for long-term career growth and navigating the dynamic Indian job market.
Program Structure and Curriculum
Eligibility:
- Pass in Pre-University Course (10+2) or equivalent with Science subjects, with Computer Science/Mathematics as one of the optional subjects.
Duration: 3 years (6 semesters)
Credits: Approximately 154 (based on typical Mangalore University CBCS structure) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 101 | Fundamentals of Computers and C Programming | Core Theory | 4 | Introduction to Computers, Number Systems, Algorithms and Flowcharts, C Programming Basics, Operators and Expressions, Control Structures |
| CSC 102 | Digital Electronics | Core Theory | 4 | Boolean Algebra, Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory Devices |
| CSCP 103 | C Programming Lab | Core Practical | 2 | Basic C Programs, Conditional Statements, Looping Constructs, Functions, Arrays and Strings |
| CSCP 104 | Digital Electronics Lab | Core Practical | 2 | Verification of Logic Gates, Adders and Subtractors, Multiplexers and Demultiplexers, Flip-Flops, Counters |
| AECC I | English / Indian Language (Kannada/Hindi/Sanskrit) | Ability Enhancement Compulsory Course | 2 | Communication Skills, Grammar and Composition, Comprehension, Literary Texts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 151 | Data Structures | Core Theory | 4 | Arrays and Pointers, Linked Lists, Stacks and Queues, Trees (Binary, BST), Graphs, Sorting and Searching |
| CSC 152 | Discrete Mathematics | Core Theory | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| CSCP 153 | Data Structures Lab | Core Practical | 2 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting Techniques |
| CSCP 154 | Discrete Mathematics Lab | Core Practical | 2 | Set Operations, Logic Gates Simulation, Graph Representations, Path Finding Algorithms, Combinations and Permutations |
| AECC II | Environmental Studies / Constitution of India | Ability Enhancement Compulsory Course | 2 | Ecosystems, Biodiversity, Pollution and Control, Sustainable Development, Preamble and Fundamental Rights, Duties and Directive Principles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 201 | Object Oriented Programming with C++ | Core Theory | 4 | OOPs Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling, File Handling |
| CSC 202 | Operating Systems | Core Theory | 4 | OS Introduction, Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| CSCP 203 | Object Oriented Programming Lab | Core Practical | 2 | Class and Object Programs, Inheritance Implementation, Polymorphism Examples, Operator Overloading, File I/O Operations |
| CSCP 204 | Operating Systems Lab | Core Practical | 2 | Unix/Linux Commands, Shell Scripting, Process Creation, Scheduling Algorithms Simulation, System Calls |
| SEC I | Python Programming | Skill Enhancement Course | 2 | Python Basics, Data Types and Variables, Control Flow, Functions and Modules, Lists, Tuples, Dictionaries, File Handling |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC 251 | Database Management Systems | Core Theory | 4 | DBMS Architecture, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| CSC 252 | Computer Networks | Core Theory | 4 | Network Topologies, OSI and TCP/IP Model, Network Devices, Routing Protocols, Transport Layer Protocols, Application Layer Protocols |
| CSCP 253 | DBMS Lab | Core Practical | 2 | DDL and DML Commands, Joins and Subqueries, Views and Sequences, Triggers and Stored Procedures, Report Generation |
| CSCP 254 | Computer Networks Lab | Core Practical | 2 | Network Configuration, Socket Programming, Packet Tracing, Network Utilities (ping, tracert), Network Security Tools |
| SEC II | Web Designing | Skill Enhancement Course | 2 | HTML5 Basics, CSS3 for Styling, JavaScript Fundamentals, Responsive Web Design, Web Hosting Concepts |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 301 A/B | Elective I (e.g., Data Mining / Computer Graphics) | Discipline Specific Elective Theory | 4 | Data Preprocessing, Classification Algorithms, Clustering Techniques, Data Visualization, Graphics Primitives, Geometric Transformations |
| DSE 302 A/B | Elective II (e.g., Software Engineering / Artificial Intelligence) | Discipline Specific Elective Theory | 4 | Software Life Cycle Models, Requirements Engineering, Design Patterns, Software Testing, Problem Solving AI, Knowledge Representation |
| DSEP 303 A/B | Elective I Lab | Discipline Specific Elective Practical | 2 | Data Mining Tools (e.g., Weka), Graphics Primitives Implementation, Geometric Transformations Programs, Clustering Algorithm Implementation |
| DSEP 304 A/B | Elective II Lab | Discipline Specific Elective Practical | 2 | Software Project Management Tools, UML Diagrams, AI Search Algorithms, Expert System Development |
| OE I | Open Elective I (from other discipline) | Open Elective | 3 | Interdisciplinary subject chosen by student based on availability at college. |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 351 A/B | Elective III (e.g., Web Technology / Cryptography and Network Security) | Discipline Specific Elective Theory | 4 | Server-side Scripting (PHP/ASP.NET), Web Frameworks, Web Services, Network Attacks, Encryption Algorithms, Digital Signatures |
| DSE 352 A/B | Elective IV (e.g., Computer Graphics and Multimedia / Big Data Analytics) | Discipline Specific Elective Theory | 4 | Multimedia Data, Compression Techniques, Animation and Virtual Reality, Big Data Concepts, Hadoop Ecosystem, MapReduce |
| DSEP 353 A/B | Elective III Lab | Discipline Specific Elective Practical | 2 | Web Application Development, Security Protocol Implementation, Cryptographic Algorithms |
| DSEP 354 A/B | Elective IV Lab | Discipline Specific Elective Practical | 2 | Multimedia Project Development, Big Data Tool Implementation, IoT Sensor Integration |
| OE II | Open Elective II (from other discipline) | Open Elective | 3 | Interdisciplinary subject chosen by student based on availability at college. |
| CSC PJ | Major Project | Project | 4 | Problem Identification, Requirement Analysis, Design and Implementation, Testing and Documentation, Presentation and Viva-voce |
