.png&w=1920&q=75)
B-SC-HONS-COMPUTER-SCIENCE in Computer Science at Atma Ram Sanatan Dharma College
Delhi, Delhi
.png&w=1920&q=75)
About the Specialization
What is Computer Science at Atma Ram Sanatan Dharma College Delhi?
This B.Sc (Hons) Computer Science program at Atma Ram Sanatan Dharma College, affiliated with the University of Delhi, focuses on building a strong theoretical and practical foundation in core computing principles. It prepares students for the rapidly evolving Indian IT industry by covering areas like programming, data structures, algorithms, operating systems, and artificial intelligence. The program emphasizes problem-solving and critical thinking, catering to the significant demand for skilled computer science graduates in India.
Who Should Apply?
This program is ideal for high school graduates with a keen interest in mathematics and logical problem-solving, aspiring to build a career in software development, data science, or IT infrastructure. It suits individuals seeking a comprehensive undergraduate education in computer science before pursuing higher studies or direct entry into the tech workforce. Students aiming to contribute to India''''s digital transformation and innovation ecosystem will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as software developers, data analysts, system administrators, and network engineers in both startups and established MNCs. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. The rigorous curriculum provides a strong base for professional certifications in areas like cloud computing, cybersecurity, and machine learning, fostering continuous career growth in the dynamic Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice coding in Python and C++ to solidify foundational programming concepts. Focus on understanding data types, control flow, functions, and basic object-oriented principles through daily coding challenges.
Tools & Resources
HackerRank, LeetCode (easy problems), GeeksforGeeks, VS Code
Career Connection
Strong programming fundamentals are essential for all software development roles and are heavily tested in technical interviews for placements.
Build Strong Data Structures & Algorithms (DSA) Basics- (Semester 1-2)
Dedicate time weekly to understand and implement fundamental data structures like arrays, linked lists, stacks, queues, and basic algorithms such as searching and sorting. Focus on theoretical understanding combined with practical coding.
Tools & Resources
GeeksforGeeks, YouTube tutorials (e.g., CodeWithHarry, Jenny''''s Lectures CS/IT), Textbooks on DSA
Career Connection
DSA is the backbone of competitive programming and a critical skill for product-based company interviews in India.
Engage in Peer Learning and Collaborative Projects- (Semester 1-2)
Form study groups with peers to discuss complex topics, share understanding, and collaboratively work on small academic projects or assignments. This enhances comprehension and develops teamwork skills.
Tools & Resources
GitHub for version control, Google Meet/Zoom for discussions, College library resources
Career Connection
Teamwork and communication are vital soft skills sought by Indian employers, and collaborative projects build a practical portfolio.
Intermediate Stage
Apply Core Concepts to Mini-Projects- (Semester 3-5)
Translate theoretical knowledge from subjects like DBMS, OS, and Computer Networks into practical mini-projects. For instance, build a small database application, simulate an OS process, or set up a basic network.
Tools & Resources
MySQL/PostgreSQL, Git, Python/Java for application development, Wireshark for network analysis
Career Connection
Practical project experience is crucial for internships and demonstrating applied skills to recruiters in the Indian tech sector.
Explore Electives and Industry Trends- (Semester 4-5)
Actively choose electives like AI, Machine Learning, or Cyber Security, and delve deeper into current industry trends beyond the syllabus. Participate in online courses or workshops to gain specialized knowledge.
Tools & Resources
Coursera, NPTEL, Udemy, Industry blogs, tech news websites
Career Connection
Specializing in trending technologies increases employability and opens doors to niche roles in the Indian IT market.
Participate in Hackathons and Coding Competitions- (Semester 3-5)
Actively engage in inter-college or national hackathons and coding competitions. This provides exposure to real-world problem-solving, time-bound challenges, and networking opportunities with industry professionals and peers.
Tools & Resources
HackerEarth, CodeChef, Google Kick Start, University coding clubs
Career Connection
Winning or participating actively boosts resumes, demonstrates problem-solving under pressure, and can lead to pre-placement offers.
Advanced Stage
Undertake Comprehensive Internship and Live Projects- (Semester 6-8)
Secure a long-term internship (6-12 months) in a relevant industry, or commit to a significant capstone project (dissertation). Focus on applying advanced concepts and contributing meaningfully to a team or product.
Tools & Resources
LinkedIn, College placement cell, Industry contacts, Project management tools (Jira, Trello)
Career Connection
Internships often convert to full-time offers, provide invaluable industry experience, and build a professional network essential for career launch in India.
Intensive Placement Preparation and Mock Interviews- (Semester 7-8)
Begin rigorous preparation for placement drives, including mock interviews (technical and HR), resume building, and aptitude test practice. Focus on perfecting communication and problem-solving skills under simulated conditions.
Tools & Resources
InterviewBit, LeetCode (medium/hard), Glassdoor, Career counseling services, alumni network
Career Connection
Well-prepared students significantly increase their chances of securing desirable placements in top-tier Indian and multinational companies.
Develop a Strong Professional Network and Personal Brand- (Semester 7-8)
Actively network with alumni, faculty, and industry professionals through conferences, webinars, and platforms like LinkedIn. Maintain an updated professional profile and showcase projects to build a strong personal brand.
Tools & Resources
LinkedIn, GitHub, Professional networking events, Alumni meetups
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and lifelong professional relationships, crucial for long-term career growth in the competitive Indian market.
Program Structure and Curriculum
Eligibility:
- 10+2 with Mathematics as one of the subjects and minimum 45% marks in aggregate. Specific subject combinations may be required as per Delhi University admission guidelines.
Duration: 8 semesters / 4 years
Credits: 176 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-1 | Programming using Python | Core | 6 | Python Fundamentals, Data Types and Operators, Control Structures and Loops, Functions and Modules, File I/O, Object-Oriented Programming Basics |
| DSC-2 | Computer System Architecture | Core | 6 | Digital Logic Gates, Combinational Circuits, Sequential Circuits, Memory Organization, CPU Organization, Instruction Set Architecture |
| AECC-1 | Environmental Science | Ability Enhancement Compulsory Course | 4 | Ecosystems and Biodiversity, Natural Resources Management, Environmental Pollution, Global Environmental Issues, Sustainable Development |
| VAC-1 | Indian Knowledge System (Example Choice) | Value Addition Course | 2 | Introduction to Indian Knowledge, Vedic Sciences, Traditional Arts and Crafts, Indian Mathematics and Astronomy, Philosophy and Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-3 | Data Structures | Core | 6 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Traversal, Hashing Techniques, Searching and Sorting Algorithms |
| DSC-4 | Discrete Mathematics | Core | 4 | Logic and Proof Techniques, Set Theory and Relations, Functions and Sequences, Combinatorics and Counting, Graph Theory, Recurrence Relations |
| AECC-2 | English Communication / MIL Communication | Ability Enhancement Compulsory Course | 4 | Reading Comprehension, Writing Skills and Grammar, Formal and Informal Communication, Presentation Skills, Language Proficiency |
| VAC-2 | Constitutional Values and Fundamental Duties (Example Choice) | Value Addition Course | 2 | Indian Constitution Overview, Fundamental Rights, Directive Principles of State Policy, Fundamental Duties of Citizens, Principles of Justice and Equality |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-5 | Object Oriented Programming with C++ | Core | 6 | Classes and Objects, Constructors and Destructors, Inheritance and Polymorphism, Operator Overloading, Virtual Functions, Exception Handling |
| DSC-6 | Computer Networks | Core | 6 | OSI and TCP/IP Models, Physical Layer Concepts, Data Link Layer Protocols, Network Layer Addressing and Routing, Transport Layer Services, Application Layer Protocols |
| DSC-7 | Operating Systems | Core | 6 | Operating System Functions, Process Management and Scheduling, Deadlocks and Prevention, Memory Management Techniques, Virtual Memory, File Systems and I/O |
| SEC-1 | Artificial Intelligence (Example Choice) | Skill Enhancement Course | 2 | Introduction to AI, Problem-Solving Agents, Search Algorithms (BFS, DFS), Knowledge Representation, Machine Learning Basics |
| GE-1 | Generic Elective from Other Disciplines (Choice) | Generic Elective | 4 | Varies based on chosen discipline (e.g., Mathematics, Statistics, Physics) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-8 | Algorithms | Core | 6 | Algorithm Analysis and Complexity, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| DSC-9 | Database Management Systems | Core | 6 | ER Model and Relational Model, Relational Algebra and Calculus, SQL Queries and Operations, Normalization Techniques, Transaction Management, Concurrency Control |
| DSC-10 | Software Engineering | Core | 6 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Validation, Software Project Management, Software Quality Assurance |
| SEC-2 | Web Designing (Example Choice) | Skill Enhancement Course | 2 | HTML Fundamentals, CSS Styling, JavaScript Basics, Responsive Web Design, UI/UX Principles, Web Development Tools |
| GE-2 | Generic Elective from Other Disciplines (Choice) | Generic Elective | 4 | Varies based on chosen discipline (e.g., Mathematics, Statistics, Physics) |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-11 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability and Undecidability |
| DSE-1 | Data Mining (Example Choice) | Discipline Specific Elective | 6 | Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Algorithms, Data Warehousing Concepts, Predictive Modeling |
| DSE-2 | Cloud Computing (Example Choice) | Discipline Specific Elective | 6 | Cloud Architectures, Virtualization Technology, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Cloud Security Challenges, Cloud Storage and Networking |
| GE-3 | Generic Elective from Other Disciplines (Choice) | Generic Elective | 4 | Varies based on chosen discipline (e.g., Mathematics, Statistics, Physics) |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-12 | Artificial Intelligence | Core | 6 | Intelligent Agents, Problem-Solving and Search Strategies, Knowledge Representation and Reasoning, Machine Learning Concepts, Neural Networks Basics, Natural Language Processing Fundamentals |
| DSE-3 | Machine Learning (Example Choice) | Discipline Specific Elective | 6 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Deep Learning Introduction, Reinforcement Learning Basics, Feature Engineering |
| DSE-4 | Cyber Security (Example Choice) | Discipline Specific Elective | 6 | Network Security Fundamentals, Cryptography Principles, Web Application Security, Malware Analysis and Prevention, Security Policies and Standards, Digital Forensics |
| GE-4 | Generic Elective from Other Disciplines (Choice) | Generic Elective | 4 | Varies based on chosen discipline (e.g., Mathematics, Statistics, Physics) |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE-5 | Data Science (Example Choice) | Discipline Specific Elective | 6 | Data Exploration and Visualization, Statistical Inference, Predictive Modeling, Big Data Technologies, Data Preprocessing for Analysis, Case Studies in Data Science |
| DSE-6 | Natural Language Processing (Example Choice) | Discipline Specific Elective | 6 | Text Preprocessing, Language Models, Part-of-Speech Tagging, Named Entity Recognition, Sentiment Analysis, Machine Translation Basics |
| PROJ-I | Project Work I / Dissertation I | Project | 6 | Research Problem Identification, Literature Review, System Design and Architecture, Implementation Plan, Ethical Considerations |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE-7 | Internet Technologies (Example Choice) | Discipline Specific Elective | 6 | Web Protocols (HTTP, FTP), Client-Server Architecture, Server-side Scripting, Web Security, E-commerce Technologies, Cloud-Based Web Services |
| DSE-8 | Computer Graphics (Example Choice) | Discipline Specific Elective | 6 | Graphics Primitives and Rasterization, 2D and 3D Transformations, Viewing and Clipping, Color Models and Shading, Introduction to Animation, Graphics APIs (e.g., OpenGL basics) |
| PROJ-II | Project Work II / Dissertation II | Project | 6 | Advanced System Development, Experimental Evaluation, Results Analysis and Interpretation, Technical Report Writing, Project Presentation and Defense |
