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B-SC-HONS-COMPUTER-SCIENCE in General at Bhaskaracharya College of Applied Sciences
Delhi, Delhi
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About the Specialization
What is General at Bhaskaracharya College of Applied Sciences Delhi?
This B.Sc Hons Computer Science program at Bhaskaracharya College of Applied Sciences, affiliated with the University of Delhi, is designed to provide a comprehensive and rigorous education in core computing principles and advanced technological applications. It integrates foundational theoretical knowledge with extensive practical skills, aligning with the evolving demands of the Indian IT industry. The curriculum fosters analytical thinking and problem-solving abilities crucial for innovative solutions in technology.
Who Should Apply?
This program is ideally suited for ambitious high school graduates who possess a strong foundation in mathematics and a keen interest in logical problem-solving and computer programming. It targets individuals aspiring to pursue dynamic careers in software development, data science, cybersecurity, or research. The curriculum also prepares students for advanced academic pursuits, making it suitable for those aiming for postgraduate studies or a career in technological innovation.
Why Choose This Course?
Graduates of this program are well-equipped for diverse and high-growth career paths in the Indian technology sector. They can secure roles as software engineers, data analysts, AI/ML developers, or system administrators in leading IT companies, startups, and public sector organizations. Entry-level salaries typically range from INR 4-7 lakhs per annum, with significant growth potential. The strong academic background also facilitates professional certifications and seamless transitions into specialized areas.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-2)
Dedicate consistent effort to mastering core programming languages like Python and C++ along with data structures and algorithms. Regularly practice coding problems on platforms like HackerRank and LeetCode to solidify logical thinking and problem-solving skills, which are paramount for any technical role in India.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Online tutorials (e.g., Codecademy, freeCodeCamp)
Career Connection
A robust foundation in programming and algorithms is indispensable for clearing technical interviews and excelling in campus placements for software development and related roles.
Build a Strong Peer and Mentor Network- (Semester 1-2)
Actively engage with college technical clubs, coding communities, and form study groups with peers. Seek guidance from senior students, alumni, and faculty mentors. This fosters collaborative learning, provides exposure to diverse perspectives, and creates valuable professional connections within the Indian academic and industry circles.
Tools & Resources
College technical societies, LinkedIn for alumni connections, Faculty office hours
Career Connection
Networking opens doors to internship leads, project collaborations, and mentorship opportunities that are crucial for navigating early career stages in India''''s competitive job market.
Develop Effective Study Habits and Time Management- (Semester 1-2)
Establish a disciplined study routine, balancing theoretical coursework, practical labs, and self-study. Utilize productivity tools and techniques like the Pomodoro method to manage time efficiently, ensuring timely completion of assignments and effective preparation for examinations.
Tools & Resources
Google Calendar, Todoist, Pomodoro Technique, Notion
Career Connection
Strong organizational skills and effective time management are highly valued by employers, demonstrating reliability and the ability to handle demanding project timelines in a professional setting.
Intermediate Stage
Undertake Practical Projects and Internships- (Semester 3-5)
Apply classroom knowledge by building practical projects in areas like Java, web development, or databases. Actively seek summer internships with startups, local IT firms, or through the college''''s placement cell to gain hands-on industry experience and build a portfolio relevant to the Indian tech ecosystem.
Tools & Resources
GitHub for project showcases, LinkedIn for internship search, College placement cell
Career Connection
Real-world project experience and internships are critical for bridging the gap between academia and industry, significantly boosting employability and providing a competitive edge during campus recruitment drives.
Explore Specializations and Online Certifications- (Semester 3-5)
Identify areas of interest such as Artificial Intelligence, Data Science, Cybersecurity, or Cloud Computing, and delve deeper through online courses and certifications from platforms like Coursera, NPTEL, or edX. This targeted learning helps in developing in-demand skills relevant to specific job roles in India.
Tools & Resources
Coursera, NPTEL, Udemy, edX, Microsoft Learn, AWS Educate
Career Connection
Specialized skills and verified certifications differentiate candidates, leading to better job opportunities with higher salary packages and faster career progression in niche technology domains.
Participate in Coding Contests and Hackathons- (Semester 3-5)
Actively participate in hackathons, coding competitions, and technical symposiums organized by colleges or technology companies. These events provide a platform to test skills, collaborate in teams, innovate under pressure, and network with industry professionals, enhancing practical experience and visibility.
Tools & Resources
Devpost, Major League Hacking (MLH) events, College technical fests
Career Connection
Such participation showcases problem-solving abilities, teamwork, and innovation, making students highly attractive to recruiters and often leading to direct internship or job offers from participating companies.
Advanced Stage
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Intensify preparation for final year placements by practicing aptitude tests, group discussions, and technical and HR mock interviews. Tailor resumes and cover letters to specific job descriptions and engage proactively with the college placement cell for guidance and access to placement opportunities.
Tools & Resources
IndiaBix for aptitude, Glassdoor for interview experiences, College placement workshops
Career Connection
Dedicated placement preparation directly correlates with successful placements in reputable Indian and multinational companies, securing desirable roles and compensation packages.
Undertake a Comprehensive Capstone Project or Dissertation- (Semester 6-8)
Engage in a significant final year project or research dissertation, ideally addressing a real-world problem or exploring an advanced research topic. Focus on robust implementation, thorough documentation, and effective presentation of the project''''s outcomes and learnings.
Tools & Resources
Research papers, Academic journals, Industry mentors, GitHub
Career Connection
A well-executed capstone project demonstrates the ability to apply complex concepts, manage a complete development cycle, and contributes significantly to one''''s portfolio for both job applications and higher academic pursuits.
Refine Professional and Communication Skills- (Semester 6-8)
Focus on enhancing written and verbal communication, public speaking, and presentation skills. Participate in workshops on professional etiquette, negotiation, and teamwork. These soft skills are crucial for effective collaboration, leadership roles, and overall career progression in any professional environment.
Tools & Resources
Toastmasters International (local chapters), Online communication courses, College workshops on soft skills
Career Connection
Strong communication and professional skills are highly valued across all industries in India, enabling graduates to articulate ideas clearly, build client relationships, and ascend to leadership positions.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Mathematics as one of the subjects from a recognized board.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-01 | Programming using Python | Core | 4 | Problem Solving Techniques, Python Basics and Data Types, Control Structures and Loops, Functions, Modules, and Packages, Strings, Lists, Dictionaries, Tuples, File Handling and Exception Handling |
| CSC-DSC-01-P | Programming using Python Lab | Lab | 2 | Python Programming Exercises, Debugging and Testing, Developing Python Scripts, Implementing Basic Algorithms |
| CSC-DSC-02 | Data Structures | Core | 4 | Introduction to Data Structures, Arrays, Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| CSC-DSC-02-P | Data Structures Lab | Lab | 2 | Implementation of Linked Lists, Stack and Queue Operations, Tree and Graph Algorithms, Comparative Study of Sorting Algorithms |
| CSC-DSC-03 | Computer System Architecture | Core | 4 | Digital Logic Circuits, Combinational Circuits (Adders, Multiplexers), Sequential Circuits (Flip-Flops, Registers), Memory Organization and Hierarchy, CPU Organization and Instruction Cycles |
| CSC-DSC-03-P | Computer System Architecture Lab | Lab | 2 | Boolean Algebra and Logic Gates, Designing Combinational Circuits, Designing Sequential Circuits, Assembly Language Programming Basics |
| UGCF-AEC-01 | Environmental Science | Ability Enhancement Course | 2 | Ecosystems and their functioning, Natural Resources and their Conservation, Biodiversity and its preservation, Environmental Pollution and Control, Climate Change and Sustainable Development |
| UGCF-VAC-01 | Constitutional Values & Fundamental Duties | Value Added Course | 2 | Indian Constitution and its Preamble, Fundamental Rights and Duties, Directive Principles of State Policy, Democracy, Justice, Liberty, Equality |
| UGCF-SEC-01 | Communication | Skill Enhancement Course | 2 | Types of Communication, Verbal and Non-verbal Communication, Listening and Speaking Skills, Presentation Techniques, Report Writing and Drafting |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-04 | Object Oriented Programming with C++ | Core | 4 | OOP Concepts: Classes and Objects, Inheritance and Polymorphism, Constructors, Destructors, Copy Constructor, Operator Overloading and Friend Functions, Exception Handling, File I/O, Templates |
| CSC-DSC-04-P | Object Oriented Programming with C++ Lab | Lab | 2 | C++ Class and Object Implementation, Inheritance and Polymorphism Exercises, Implementing Operator Overloading, Using STL and File Operations |
| CSC-DSC-05 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proof Techniques, Relations, Functions, and Lattices, Combinatorics (Counting, Permutations, Combinations), Graph Theory (Paths, Cycles, Trees), Recurrence Relations and Generating Functions |
| CSC-DSC-06 | Operating Systems | Core | 4 | OS Introduction and Services, Process Management and Scheduling, Memory Management (Paging, Segmentation), File Systems and I/O Systems, Deadlocks and Concurrency Control |
| CSC-DSC-06-P | Operating Systems Lab | Lab | 2 | Shell Scripting and System Calls, Process Creation and Communication, CPU Scheduling Algorithms Implementation, Memory Allocation Strategies |
| UGCF-AEC-02 | English Communication | Ability Enhancement Course | 2 | Reading Comprehension Strategies, Grammar, Vocabulary, and Syntax, Academic Writing (Essays, Reports), Oral Communication and Public Speaking |
| UGCF-VAC-02 | Yoga: Philosophy and Practice | Value Added Course | 2 | Introduction to Yoga and its principles, Asanas (Postures) and their benefits, Pranayama (Breathing Techniques), Meditation and Relaxation Practices, Yoga for physical and mental well-being |
| UGCF-SEC-02 | Web Design | Skill Enhancement Course | 2 | HTML Fundamentals and Tags, CSS Styling and Layouts, JavaScript Basics and DOM Manipulation, Responsive Web Design Principles, Introduction to Web Development Tools |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-07 | Java Programming | Core | 4 | Java Fundamentals and OOP, Exception Handling and Multithreading, Abstract Classes and Interfaces, Collection Framework, GUI Programming with Swing/JavaFX, Networking and JDBC |
| CSC-DSC-07-P | Java Programming Lab | Lab | 2 | Implementing Java OOP Concepts, Developing Multithreaded Applications, GUI Application Development, Database Connectivity using JDBC |
| CSC-DSC-08 | Computer Networks | Core | 4 | Network Topologies and Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS, SMTP) |
| CSC-DSC-09 | Database Management Systems | Core | 4 | Database Concepts and Architecture, ER Model and Relational Model, Relational Algebra and Calculus, SQL Queries, Constraints and Views, Normalization and Dependency Theory, Transaction Management and Concurrency Control |
| CSC-DSC-09-P | Database Management Systems Lab | Lab | 2 | SQL DDL and DML Commands, Advanced SQL Queries and Joins, Designing ER Diagrams and Schemas, Implementing Database Applications |
| UGCF-GE-01 | Linear Algebra and Calculus | Generic Elective | 4 | Matrices and Determinants, Vector Spaces and Subspaces, Eigenvalues and Eigenvectors, Limits, Continuity and Differentiability, Integrals and Applications of Calculus |
| UGCF-SEC-03 | Python Programming (Advanced) | Skill Enhancement Course | 2 | Advanced Python Features (Decorators, Generators), Data Analysis with Pandas, Numerical Computing with NumPy, Data Visualization with Matplotlib/Seaborn, Web Scraping and Automation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-10 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms (BFS, DFS, Dijkstra), Complexity Classes (P, NP, NP-Complete) |
| CSC-DSC-10-P | Design and Analysis of Algorithms Lab | Lab | 2 | Implementation of Sorting Algorithms, Graph Traversal and Shortest Path, Dynamic Programming Problem Solving, Greedy Approach Implementation |
| CSC-DSC-11 | Software Engineering | Core | 4 | Software Development Life Cycle Models, Requirements Engineering (Elicitation, Analysis), Software Design Principles and Patterns (UML), Software Testing Techniques (Black/White box), Project Management and Agile Methodologies |
| CSC-DSC-12 | Artificial Intelligence | Core | 4 | Introduction to AI and Intelligent Agents, Problem-Solving using Search Algorithms, Knowledge Representation and Reasoning, Uncertainty and Probabilistic Reasoning, Introduction to Machine Learning |
| CSC-DSC-12-P | Artificial Intelligence Lab | Lab | 2 | Implementing Search Algorithms, Prolog Programming for Logic, Basic Machine Learning Model Implementation, Reinforcement Learning Simulations |
| UGCF-GE-02 | Probability and Statistics | Generic Elective | 4 | Probability Theory and Random Variables, Probability Distributions (Binomial, Normal), Descriptive Statistics and Measures, Inferential Statistics (Hypothesis Testing), Correlation and Regression Analysis |
| UGCF-SEC-04 | Android Programming | Skill Enhancement Course | 2 | Android Studio and SDK, User Interface Design (Layouts, Widgets), Activities, Intents, and Fragments, Data Storage (SQLite, Shared Preferences), Permissions and Notifications |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-13 | Internet Technologies | Core | 4 | Web Architecture and Protocols (HTTP, HTTPS), HTML5, CSS3, and Responsive Design, JavaScript, DOM Manipulation, and AJAX, XML and JSON, Web Services and APIs, Introduction to Web Security |
| CSC-DSC-13-P | Internet Technologies Lab | Lab | 2 | Designing Dynamic Web Pages, Client-Side Scripting with JavaScript, Integrating Web APIs, Building Simple Web Applications |
| CSC-DSC-14 | Theory of Computation | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability, Complexity Classes (P, NP, NP-Complete) |
| CSC-DSE-01 | Machine Learning | Discipline Specific Elective | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Dimensionality Reduction |
| CSC-DSE-01-P | Machine Learning Lab | Lab | 2 | Implementing Regression Models, Implementing Classification Models, Clustering Algorithms Implementation, Using ML Libraries like Scikit-learn |
| CSC-DSE-02 | Data Mining | Discipline Specific Elective | 4 | Data Preprocessing and Cleaning, Data Warehousing Concepts, Association Rule Mining, Classification Techniques (Decision Trees, Bayes), Clustering Algorithms (K-Means, Hierarchical) |
| CSC-DSE-02-P | Data Mining Lab | Lab | 2 | Data Transformation and Aggregation, Implementing Association Rule Algorithms, Building Classification Models, Performing Clustering Analysis |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSC-15 | Computer Graphics | Core | 4 | Graphics Hardware and Software, Output Primitives (Line, Circle Algorithms), 2D and 3D Transformations, Clipping and Viewing, Illumination Models and Shading, Fractals and Projections |
| CSC-DSC-15-P | Computer Graphics Lab | Lab | 2 | Drawing Algorithms Implementation, 2D/3D Transformation Programs, Clipping Algorithm Implementation, Interactive Graphics Applications |
| CSC-DSC-16 | Compiler Design | Core | 4 | Compiler Structure and Phases, Lexical Analysis (Scanners), Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Code Generation |
| CSC-DSE-03 | Cloud Computing | Discipline Specific Elective | 4 | Cloud Characteristics and Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technology, Cloud Security Challenges, Introduction to Major Cloud Platforms (AWS, Azure, GCP) |
| CSC-DSE-03-P | Cloud Computing Lab | Lab | 2 | Setting up Virtual Machines on Cloud, Deploying Web Applications in Cloud, Using Cloud Storage Services, Monitoring Cloud Resources |
| CSC-DSE-04 | Digital Image Processing | Discipline Specific Elective | 4 | Image Fundamentals and Acquisition, Image Enhancement (Spatial and Frequency Domain), Image Restoration, Image Segmentation, Image Compression, Morphological Image Processing |
| CSC-DSE-04-P | Digital Image Processing Lab | Lab | 2 | Image Manipulation using Python Libraries, Implementing Image Filters, Edge Detection Algorithms, Image Compression Techniques |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSE-05 | Natural Language Processing | Discipline Specific Elective | 4 | Text Preprocessing and Tokenization, Language Models and N-grams, Part-of-Speech Tagging and Parsing, Sentiment Analysis and Text Classification, Machine Translation Fundamentals |
| CSC-DSE-05-P | Natural Language Processing Lab | Lab | 2 | Using NLTK/SpaCy for Text Analysis, Implementing Sentiment Analyzers, Building Text Classification Models, Developing Chatbot Components |
| CSC-DSE-06 | Big Data Analytics | Discipline Specific Elective | 4 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework and RDDs, NoSQL Databases (Cassandra, MongoDB), Data Stream Processing, Big Data Visualization |
| CSC-DSE-06-P | Big Data Analytics Lab | Lab | 2 | HDFS Operations and Commands, MapReduce Programming Exercises, Spark Data Processing, Working with NoSQL Databases |
| CSC-DSE-07 | Deep Learning | Discipline Specific Elective | 4 | Neural Networks and Perceptrons, Backpropagation Algorithm, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and LSTMs, Deep Learning Frameworks (TensorFlow, PyTorch) |
| CSC-DSE-07-P | Deep Learning Lab | Lab | 2 | Implementing Feedforward Networks, Training CNNs for Image Recognition, Developing RNNs for Sequence Data, Using Keras/PyTorch for Complex Models |
| CSC-DIS-01 | Dissertation - I | Project | 6 | Research Problem Identification, Literature Review and Gap Analysis, Research Methodology Design, Initial Data Collection and Analysis |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC-DSE-08 | Quantum Computing | Discipline Specific Elective | 4 | Quantum Mechanics Fundamentals, Qubits and Quantum Gates, Quantum Entanglement and Superposition, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Error Correction |
| CSC-DSE-08-P | Quantum Computing Lab | Lab | 2 | Simulating Quantum Circuits, Implementing Quantum Gates, Basic Quantum Algorithm Simulations, Using Qiskit/Cirq for Quantum Programming |
| CSC-DSE-09 | Blockchain Technologies | Discipline Specific Elective | 4 | Cryptographic Primitives (Hashing, Digital Signatures), Distributed Ledger Technology, Blockchain Architecture (Bitcoin, Ethereum), Smart Contracts and Decentralized Applications (DApps), Consensus Mechanisms (PoW, PoS) |
| CSC-DSE-09-P | Blockchain Technologies Lab | Lab | 2 | Building a Simple Blockchain, Deploying Smart Contracts on Ethereum, Interacting with Blockchain Networks, Understanding Cryptographic Hashes |
| CSC-DIS-02 | Dissertation - II | Project | 6 | Implementation and Experimentation, Data Analysis and Interpretation of Results, Thesis Writing and Documentation, Oral Presentation and Defense |
