.png&w=1920&q=75)
B-SC-HONOURS-COMPUTER-SCIENCE in General at Acharya Narendra Dev College
Delhi, Delhi
.png&w=1920&q=75)
About the Specialization
What is General at Acharya Narendra Dev College Delhi?
This B.Sc. (Honours) Computer Science program at Acharya Narendra Dev College focuses on building a strong theoretical foundation and practical skills in various facets of computing. It''''s designed to meet the growing demands of the Indian IT industry by producing skilled graduates capable of critical thinking and innovation. The program emphasizes core computer science principles along with practical application.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the vast and dynamic field of information technology. It also caters to individuals passionate about problem-solving, algorithm design, and software development, aspiring to contribute to India''''s digital transformation journey.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles like Software Developer, Data Analyst, Web Developer, System Administrator, and IT Consultant. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential up to INR 10-15 LPA or more with experience in leading Indian tech companies and startups. The degree aligns with various professional certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice core programming concepts (Python, C++) and data structures. Utilize online platforms for coding challenges to solidify understanding and develop problem-solving abilities.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Jupyter Notebooks
Career Connection
Strong fundamentals are crucial for cracking technical interviews and building efficient software solutions, directly impacting placement opportunities in entry-level development roles.
Build a Strong Mathematical & Logical Base- (Semester 1-2)
Focus on Discrete Mathematics and Mathematics for Computing. Regularly solve problems to enhance logical reasoning, which is vital for algorithm design and understanding complex computer science theories.
Tools & Resources
NCERT textbooks, Schaum''''s Outlines, Khan Academy
Career Connection
A robust mathematical foundation is essential for advanced topics like AI, Machine Learning, and Algorithms, paving the way for specialized roles and higher studies.
Actively Participate in College Technical Societies- (Semester 1-2)
Join and contribute to the college''''s Computer Science society or technical clubs. Engage in workshops, coding competitions, and peer-led study groups to gain practical exposure and build a professional network.
Tools & Resources
College technical clubs, Inter-college hackathons
Career Connection
Networking and practical experience gained through societies can open doors to internships and direct referrals, enhancing visibility with potential employers in the Indian tech ecosystem.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 3-5 (Summer breaks are ideal))
Apply theoretical knowledge by developing small-scale projects in areas like web development, app development, or database management. Seek short-term internships to gain industry exposure.
Tools & Resources
GitHub, VS Code, Local industry startups, Internshala
Career Connection
Practical project experience and internships are highly valued by Indian companies, showcasing applied skills and improving chances for pre-placement offers and full-time roles.
Explore Generic Electives Strategically- (Semester 3-5)
Choose Generic Electives (GEs) that complement your interests or desired career path, perhaps in Data Science (Statistics) or Management. This broadens your profile and offers interdisciplinary insights.
Tools & Resources
DU course catalog, Career counseling sessions
Career Connection
A well-chosen GE can provide an edge in niche roles or management positions, demonstrating diverse intellectual capabilities to recruiters in India''''s competitive job market.
Deep Dive into Core CS Subjects- (Semester 3-5)
Beyond classroom learning, delve deeper into subjects like Operating Systems, Computer Networks, and DBMS. Understand their real-world applications and architectural principles.
Tools & Resources
Online courses (Coursera, NPTEL), Reference books, Networking labs
Career Connection
Thorough knowledge of core CS subjects is frequently tested in technical interviews for product-based companies and service-based IT firms in India, ensuring stronger placement prospects.
Advanced Stage
Focus on Advanced Electives and Specialization- (Semester 5-6)
Strategically select Discipline Specific Electives (DSEs) and, if available, undertake a project/dissertation in an area of interest like AI, Machine Learning, or Web Technologies to develop expertise.
Tools & Resources
Research papers, Advanced online courses, Faculty mentorship, Specialized software/libraries
Career Connection
Specialized skills are highly sought after by Indian tech companies, leading to higher-paying roles in emerging technologies and direct entry into R&D or advanced development teams.
Intensive Placement Preparation- (Semester 5-6)
Actively prepare for campus placements, focusing on aptitude tests, technical rounds (coding, core CS concepts), and HR interviews. Participate in mock interviews and resume building workshops.
Tools & Resources
Placement cell resources, Glassdoor, LinkedIn, InterviewBit
Career Connection
Thorough preparation directly translates to securing desirable job offers from top recruiters during campus placements, which is a critical outcome for most Indian graduates.
Develop Professional Networking and Soft Skills- (Semester 6 (Ongoing))
Attend industry seminars, connect with professionals on LinkedIn, and hone soft skills like communication, teamwork, and presentation. These are crucial for career progression in Indian corporate settings.
Tools & Resources
LinkedIn, Professional workshops, Toastmasters (if available)
Career Connection
Strong networking can lead to referrals and opportunities, while excellent soft skills differentiate candidates in the hiring process and are vital for long-term career growth and leadership roles in India.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Science stream (Physics, Chemistry, Mathematics or Computer Science) from a recognized Board, securing a minimum aggregate percentage as prescribed by the University of Delhi for admission to Honours courses.
Duration: 6 semesters / 3 years
Credits: 148 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-01 | Programming using Python | Core | 6 | Introduction to Python, Data types and operators, Control flow statements, Functions, Modules, and Packages, Strings, Lists, Tuples, Dictionaries, File I/O and Exception Handling |
| DSC-02 | Computer System Architecture | Core | 6 | Digital Logic Circuits, Combinational and Sequential Circuits, Memory Organization, Input-Output Organization, Central Processing Unit, Instruction Set Architecture |
| DSC-03 | Mathematics for Computing | Core | 4 | Set Theory and Logic, Relations and Functions, Counting Techniques, Graph Theory Fundamentals, Boolean Algebra and Lattices |
| AECC-1 | Environmental Science | Ability Enhancement Compulsory Course | 4 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Global Environmental Issues, Sustainable Development |
| VAC-1 | Constitutional Values and Fundamental Duties | Value Added Course | 2 | Philosophy of the Constitution, Fundamental Rights, Directive Principles of State Policy, Fundamental Duties, Citizenship and Justice |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-04 | Data Structures | Core | 6 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| DSC-05 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory, Relations and Functions, Counting Principles and Combinatorics, Graph Theory, Boolean Algebra and Algebraic Structures |
| DSC-06 | Operating Systems | Core | 6 | Operating System Concepts, Process Management and CPU Scheduling, Deadlocks, Memory Management, File Systems, I/O Management and Disk Scheduling |
| AECC-2 | English / MIL Communication | Ability Enhancement Compulsory Course | 4 | Reading and Comprehension, Writing Skills, Grammar and Vocabulary, Public Speaking, Professional Communication |
| VAC-2 | Digital Fluency | Value Added Course | 2 | Introduction to Digital Technologies, Internet and Social Media Use, Cyber Security Basics, Digital Tools for Productivity, Digital Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-07 | Object Oriented Programming with C++ | Core | 6 | Introduction to OOP, Classes and Objects, Inheritance and Polymorphism, Virtual Functions, Templates, File Handling |
| DSC-08 | Computer Networks | Core | 6 | Network Topologies and Layers, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, FTP) |
| DSC-09 | Database Management Systems | Core | 6 | Introduction to DBMS, ER Modeling, Relational Model and Algebra, SQL Query Language, Normalization, Transaction Management |
| SEC-1 | Web Design (HTML, CSS, JavaScript) | Skill Enhancement Course | 2 | HTML Document Structure, CSS Styling and Layouts, JavaScript Fundamentals, DOM Manipulation, Responsive Web Design |
| GE-1 | Generic Elective (Choice Based) | Elective | 4 | Interdisciplinary subject from other departments (e.g., Economics, Psychology, Statistics, Commerce) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-10 | Design and Analysis of Algorithms | Core | 6 | Algorithm Complexity Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| DSC-11 | Software Engineering | Core | 6 | Software Development Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management, Maintenance and Re-engineering |
| DSC-12 | Artificial Intelligence | Core | 6 | Introduction to AI, Problem Solving by Searching, Knowledge Representation, Machine Learning Concepts, Natural Language Processing, Expert Systems |
| SEC-2 | Android Programming | Skill Enhancement Course | 2 | Android Development Environment, Activities and Intents, UI Design with Layouts and Widgets, Data Storage (SQLite, SharedPreferences), Permissions and Notifications |
| GE-2 | Generic Elective (Choice Based) | Elective | 4 | Interdisciplinary subject from other departments (e.g., History, Political Science, Statistics, Philosophy) |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-13 | Theory of Computation | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability and Undecidability |
| DSC-14 | Computer Graphics | Core | 6 | Graphics Primitives and Rasterization, 2D and 3D Transformations, Viewing and Clipping, Projection Techniques, Shading and Illumination Models, Fractals and Animation |
| DSE-1 | Data Mining | Elective | 6 | Introduction to Data Mining, Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms, Outlier Detection |
| DSE-2 | Machine Learning | Elective | 6 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Neural Networks and Deep Learning Basics, Model Evaluation and Validation |
| GE-3 | Generic Elective (Choice Based) | Elective | 4 | Interdisciplinary subject from other departments (e.g., Mathematics, Statistics, Hindi, Sanskrit) |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE-3 | Web Technologies | Elective | 6 | Advanced HTML5 and CSS3, Frontend Frameworks, Backend Development with PHP/Node.js, Database Integration, Web Services and APIs, Web Security Fundamentals |
| DSE-4 | Digital Image Processing | Elective | 6 | Introduction to Digital Images, Image Enhancement, Image Restoration, Color Image Processing, Image Compression, Image Segmentation |
| GE-4 | Generic Elective (Choice Based) | Elective | 4 | Interdisciplinary subject from other departments (e.g., Philosophy, Sociology, Psychology, Fine Arts) |
| CS-PRJ | Project Work / Dissertation (Optional, in lieu of 2 DSEs) | Project | 10 | Problem Identification, Literature Review, System Design and Implementation, Testing and Evaluation, Report Writing and Presentation |
