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Bachelor of Science (Computer Science) (B.Sc. CS)
PO/CO
(After completion of B.Sc. Computer Science – 3 Years)
Students will be able to:
Problem Solving & Design:
Formulate, model, and design computing solutions using appropriate tools and techniques to solve real-world problems effectively.
Software Development:
Design and develop software systems in domains such as web development, networking, data science, cybersecurity, cloud computing, and IoT.
Application of Knowledge:
Apply core concepts of computer science including algorithms, databases, operating systems, and software engineering to new and challenging situations.
Modern Tools Usage:
Demonstrate proficiency in using modern tools, technologies, and programming languages required in the IT industry.
Innovation & Research Orientation:
Develop innovative solutions and adapt to emerging technologies like AI, Machine Learning, Big Data, and Blockchain.
Software Engineering Practices:
Apply standard software engineering principles such as requirement analysis, design, testing, and documentation in real-world projects.
Teamwork & Project Management:
Work effectively as an individual and as a team member in multidisciplinary environments and manage projects efficiently.
Communication Skills:
Communicate technical ideas effectively in both written and oral formats.
Ethics & Professional Responsibility:
Understand ethical issues in computing and practice responsible use of technology and cybersecurity principles.
Lifelong Learning:
Engage in continuous learning to adapt to rapidly evolving technologies and pursue higher education or research.
FYCS – Semester I (COs)
Digital Systems & Architecture (NUCS101)
CO1: Understand number systems, Boolean algebra, and logic gates
CO2: Apply combinational and sequential circuit design concepts
CO3: Analyze memory organization and processor architecture
CO4: Understand microprocessor basics and system components
Fundamentals of Database Systems (NUCS102)
CO1: Understand database concepts and ER models
CO2: Design relational database schemas
CO3: Apply SQL queries for data manipulation
CO4: Implement normalization and database security
Computer Science Practical I (NUCS103)
CO1: Implement digital logic using simulation tools
CO2: Perform SQL operations on databases
CO3: Design and execute basic computing tasks
CO4: Apply theoretical concepts practically
Indian Financial Systems (NUCS104)
CO1: Understand structure of financial systems
CO2: Analyze banking and financial services
CO3: Understand role of RBI and markets
CO4: Apply financial literacy concepts
Social Media & Communication (NUCS105)
CO1: Understand social media evolution
CO2: Analyze communication models
CO3: Evaluate digital ethics and privacy
CO4: Use social media professionally
Python Programming (NUCS106)
CO1: Write basic Python programs
CO2: Use control structures and functions
CO3: Apply data structures and file handling
CO4: Solve real-world problems using Python
FYCS – Semester II (COs)
Design & Analysis of Algorithm (NUCS201)
CO1: Understand algorithm design techniques
CO2: Analyze time and space complexity
CO3: Apply sorting and searching algorithms
CO4: Solve problems using algorithmic thinking
Object Oriented Programming (NUCS202)
CO1: Understand OOP concepts (class, object, inheritance)
CO2: Implement programs using OOP principles
CO3: Apply polymorphism and encapsulation
CO4: Develop modular applications
Computer Science Practical II (NUCS203)
CO1: Implement OOP and algorithm programs
CO2: Perform practical problem solving
CO3: Develop logical programming skills
CO4: Integrate concepts in real applications
Descriptive Statistics (NUCS204)
CO1: Understand statistical measures
CO2: Analyze data using statistical tools
CO3: Apply probability concepts
CO4: Interpret data insights
Web Designing (NUCS207)
CO1: Design web pages using HTML, CSS
CO2: Apply responsive design techniques
CO3: Develop static web applications
CO4: Understand UI/UX basics
Advanced Python (NUCS208)
CO1: Apply advanced Python concepts
CO2: Work with libraries and modules
CO3: Perform file and data handling
CO4: Develop real-world applications
SYCS – Semester III (COs)
Operating Systems (NUCS301)
CO1: Understand OS concepts and functions
CO2: Implement process scheduling techniques
CO3: Apply memory management methods
CO4: Analyze file systems and synchronization
Theory of Computation (NUCS302)
CO1: Understand automata and formal languages
CO2: Analyze computational models
CO3: Apply Turing machines concepts
CO4: Solve computational problems
Data Structures (NUCS303)
CO1: Implement data structures (stack, queue, tree)
CO2: Analyze algorithm efficiency
CO3: Solve problems using data structures
CO4: Optimize solutions
Java Programming (NUCS308)
CO1: Develop Java applications
CO2: Apply OOP concepts in Java
CO3: Implement GUI programming
CO4: Handle exceptions and files
SYCS – Semester IV (COs)
Computer Networks (NUCS401)
CO1: Understand networking concepts and models
CO2: Analyze protocols and communication
CO3: Implement network applications
CO4: Evaluate network security
Software Engineering (NUCS402)
CO1: Understand SDLC models
CO2: Apply software design techniques
CO3: Perform testing and debugging
CO4: Develop software documentation
IoT Technologies (NUCS403)
CO1: Understand IoT architecture
CO2: Work with sensors and devices
CO3: Develop IoT applications
CO4: Analyze real-world IoT solutions
Mobile Application Development (NUCS408)
CO1: Develop mobile apps
CO2: Design UI/UX
CO3: Integrate APIs
CO4: Deploy applications
TYCS – Semester V (COs)
Artificial Intelligence
CO1: Understand AI concepts and agents
CO2: Apply search algorithms
CO3: Implement knowledge representation
CO4: Use machine learning techniques
Information Security
CO1: Understand cryptography concepts
CO2: Apply encryption techniques
CO3: Analyze security threats
CO4: Design secure systems
Project Management
CO1: Understand project lifecycle
CO2: Apply planning and scheduling
CO3: Manage risks and resources
CO4: Execute software projects
Full Stack Development
CO1: Develop front-end and back-end
CO2: Integrate databases
CO3: Build full applications
CO4: Deploy web systems
TYCS – Semester VI (COs)
Data Science
CO1: Understand data analysis techniques
CO2: Apply statistical models
CO3: Visualize data
CO4: Build predictive models
Big Data Analytics
CO1: Understand big data concepts
CO2: Work with Hadoop/Spark
CO3: Analyze large datasets
CO4: Implement analytics solutions
Cybersecurity
CO1: Understand security threats
CO2: Apply defense mechanisms
CO3: Perform risk analysis
CO4: Implement security systems
Machine Learning
CO1: Understand ML algorithms
CO2: Apply supervised/unsupervised learning
CO3: Build models
CO4: Evaluate performance
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