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Admission 2026-27

Course Title : Artificial Intelligence for All: Foundations and Applications

Course Duration: 30 Hours Total , 15 Hours Theory , 15 Hours Practical / Activity-based Learning

Course Objectives:

1. To introduce the fundamentals of Artificial Intelligence (AI) in a multidisciplinary context.
2. To help students from non-CS/IT backgrounds understand AI applications in their respective domains.
3. To develop awareness of ethical, social, and career-related aspects of AI.
4. To equip learners with hands-on skills using user-friendly AI tools and platforms.

Target Audience:

● Open to students from all schools and departments (Science, Commerce, Humanities, Management, Law, etc.)
● No prior coding or technical background required.

Module-wise Course Structure:

Module 1: Introduction to Artificial Intelligence (3 Hrs)

● What is AI? History and evolution
● AI vs Human Intelligence
● Key AI technologies: ML, DL, NLP, Computer Vision
● Applications across disciplines

Module 2: Data, Decisions & Algorithms (4 Hrs)

● Role of data in AI
● Basic idea of supervised/unsupervised learning
● Simple case studies (healthcare, business, education, etc.)
● Introduction to ChatGPT and Generative AI

Module 3: Hands-on with No-Code AI Tools (6 Hrs)

● Google Teachable Machine
● Microsoft Lobe / AutoML
● OpenAI’s tools (ChatGPT, DALL·E, Whisper)
● Creating basic AI models without programming

Module 4: AI in My Discipline (5 Hrs)

● AI use cases in:
     ○ Business and Finance (fraud detection, chatbots)
     ○ Healthcare (diagnostics, personalized medicine)
     ○ Education (personalized learning)
     ○ Law (legal research, predictive analytics)
     ○ Arts and Humanities (language generation, music, art)

Module 5: Ethics, Bias & Career in AI (4 Hrs)

● Bias in AI systems
● Ethics and responsible AI
● Emerging careers and future skills
● Building an AI portfolio

Module 6: Capstone Project / Mini Showcase (8 Hrs)

● Students form interdisciplinary teams
● Apply AI tools to a real-world problem from their domain
● Present project/demo with outcomes

Assessment & Certification:

● 50% Attendance and Participation
● 30% Assignment / Project
● 20% Quiz / Viva
✔ Certificate issued jointly by the School of CS/IT and the University Skill Development
Cell

Offered By:

School of Computer Science , Engineering and technology

Course Title : Cyber Security and Digital Safety for All: Essentials in a Connected World

Course Duration: 30 Hours Total , 15 Hours Theory , 15 Hours Practical / Activity-based Learning

Course Objectives:

1. To create awareness about cyber threats, privacy, and data protection.
2. To enable students from all disciplines to practice safe online behavior.
3. To provide hands-on training on personal and organizational cyber hygiene.
4. To introduce career opportunities and ethical aspects in cyber security.

Target Audience:

● Open to students from all schools and departments (Science, Commerce, Humanities, Law, Education, etc.)
● No prior technical knowledge required.

Module-wise Course Structure:

Module 1: Introduction to Cyber Security (3 Hrs)

● What is cyber security?
● Evolution and importance in today’s world
● Common threats: malware, phishing, ransomware, data breaches

Module 2: Digital Hygiene and Safe Practices (5 Hrs)

● Safe internet usage: browsers, downloads, emails
● Strong passwords and multi-factor authentication
● Social media safety and privacy settings
● Safe online banking and e-commerce practices

Module 3: Tools for Personal Cyber Protection (6 Hrs)

● Antivirus, firewall, VPN basics
● Secure browsing tools and add-ons (e.g., DuckDuckGo, HTTPS Everywhere)
● Real-time threat detection: online demos
● Android/iOS mobile security practices

Module 4: Cyber Laws and Ethics (4 Hrs)

● Indian IT Act 2000 and amendments
● Cyber bullying, identity theft, defamation, harassment
● Digital rights, data protection, and consent
● Introduction to GDPR and global perspectives

Module 5: Cyber Security in Different Domains (4 Hrs)

● Case studies from:
     ○ Business (data protection, compliance)
     ○ Healthcare (HIPAA, privacy)
     ○ Education (student data, plagiarism)
     ○ Law and E-Governance

Module 6: Practical Project / Simulation Activity (8 Hrs)

● Group project: Analyze a real cyber case or simulate a cyber-attack/response
● Create an awareness campaign for school/department
● Poster/video competition on “Stay Safe Online”

Assessment & Certification:

● 40% Project / Simulation
● 30% Quiz / MCQ-based test
● 30% Participation / Attendance
✔ Certificate jointly issued by the School of CS/IT and University IQAC/Skill
Development Cell

Offered By:

School of Computer Science , Engineering and technology

Course Title : Computer Hardware Maintenance & Troubleshooting

Course Duration: 30 Hours Total , 15 Hours Theory , 15 Hours Practical / Activity-based Learning

ACADEMIC YEAR 2026-2027

DIPLOMA ENGINEERING(CSE/IT)

Course Objectives:

After successful completion of this Value Added Course, students will be able to:
1. Understand the fundamentals of computer hardware and system architecture.
2. Identify and work with various internal and external computer components.
3. Assemble, configure, and maintain desktop computer systems.
4. Install operating systems, device drivers, and essential utility software.
5. Diagnose and troubleshoot common hardware, software, and peripheral issues safely and effectively.

Target Audience:

1. Diploma Computer Science Engineering students
2. Diploma Information Technology students
3. Students interested in computer hardware maintenance and troubleshooting

Module-wise Course Structure:

Module 1: Introduction to Computer Hardware (3 Hrs)

  • Basic computer organization
  •  Types of computers
  • Hardware vs Software
  • Input, Output, and Storage devices
  • SMPS and power requirements
  • Safety precautions in hardware handling

Practical / Activity
Identification of motherboard components
Identification of input, output, and storage devices
Identification of SMPS and peripheral components

Module 2: Internal Components of Computer (5 Hrs)

  • Motherboard architecture
  • CPU and cooling system
  • RAM types and installation
  • HDD vs SSD
  • Expansion cards and CMOS battery
  • Power supply connections

Practical / Activity:
Opening CPU cabinet
RAM installation and removal
HDD/SSD connection
Identification of motherboard ports and slots
SMPS testing and power connection checking

Module 3: Computer Assembly & BIOS Setup (4 Hrs)

  •  Step-by-step computer assembly
  • Internal cable connections
  • BIOS/UEFI settings
  • Boot sequence configuration
  • POST process

Practical / Activity:
Desktop assembly
Internal cable connections

BIOS configuration
Boot sequence setup and POST checking

Module 4: Operating System & Driver Installation (4 Hrs)

  • Installing Microsoft Windows 
  • Disk partitioning and formatting
  • Bootable USB creation
  • Device driver installation
  • Basic utility software installation

Practical / Activity:
Windows installation
Disk partitioning and formatting
Driver installation
Bootable USB creation

Module 5: Hardware Troubleshooting Techniques (6 Hrs)

  • No display problem
  • Beep code analysis
  • Overheating issues
  • RAM failure diagnosis
  • Power supply faults
  • Boot failure troubleshooting
  • Blue screen errors
  • Virus and malware basics

Practical / Activity:
Hardware fault diagnosis
Troubleshooting no display problems
RAM troubleshooting
Power supply checking
Overheating issue diagnosis
Use of troubleshooting tools and utilities

Module 6: Peripheral & Networking Troubleshooting (4 Hrs)

  • Printer troubleshooting
  • Keyboard and mouse issues
  • Monitor problems
  • LAN cable testing
  • IP configuration basics
  • Internet connectivity issues

Practical / Activity:
LAN cable testing
Configure LAN connection
Printer and peripheral troubleshooting
Internet connectivity troubleshooting

Module 7: Preventive Maintenance & Mini Project (4 Hrs)

  • Preventive maintenance techniques
  • System cleaning procedures
  • Backup and recovery basics
  • Antivirus and system security
  • Mini hardware servicing project

Practical / Activity:
Complete PC preventive maintenance
System cleaning and servicing
PC health check activity
Mini troubleshooting case study/project presentation

Assessment & Certification:

● 50% Attendance and Participation
● 30% Assignment / Project
● 20% Quiz / Viva (Certificate issued jointly by the School of CS/IT and the University Skill
Development Cell)

Offered By:

School of Computer Science , Engineering and technology

Course Title : Figma & UI/UX Design Fundamentals

Course Duration: 30 Hours Total , 15 Hours Theory , 15 Hours Practical / Activity-based Learning

ACADEMIC YEAR 2026-2027

DIPLOMA ENGINEERING(CSE/IT)

Course Objectives:

After successful completion of this Value Added Course, students will be able to:
1. Understand the fundamentals of UI/UX design and user-centered design principles.
2. Identify and apply essential design elements such as colors, typography, icons, and layouts.
3. Create wireframes, prototypes, and mobile/web interface designs using Figma.
4. Design responsive and user-friendly interfaces for websites and mobile applications.
5. Develop basic UI/UX projects and interactive prototypes using modern design practices.

Target Audience:

1. Diploma Computer Science Engineering students
2. Diploma Information Technology students
3. Students interested in UI/UX design, web design, and mobile app interface development

Module-wise Course Structure:

Module 1: Introduction to UI/UX Design (3 Hrs)

  • Introduction to UI and UX
  • Difference between UI and UX
  • Importance of user-centered design
  • Principles of good design
  • Basics of responsive design
  • Examples of good and bad interfaces

Practical / Activity
Explore popular app and website interfaces
Identify UI components in existing applications
Create a simple design inspiration board

Module 2:Basics of Design Principles (5 Hrs)

  • Color theory and color combinations
  • Typography basics
  • Layout and alignment principles
  • Icons and visual hierarchy
  • White space and consistency
  • Introduction to design systems

Practical / Activity:
Create color palettes
Typography practice activity
Design a basic login page layout
Create simple UI components

Module 3: Introduction to Figma (4 Hrs)

  • Introduction to Figma interface
  • Frames, layers, and components
  • Working with shapes and text
  • Using plugins and assets
  • Auto-layout basics
  • Sharing and collaboration features

Practical / Activity:
Create Figma account and workspace
Design simple mobile app screens
Create reusable components
Use plugins and templates

Module 4: Wireframing & Prototyping (4 Hrs)

  • Introduction to wireframing
  • Low-fidelity and high-fidelity wireframes
  • User flow basics
  • Interactive prototyping
  • Navigation design
  • Mobile-first design approach

Practical / Activity:
Create wireframes for mobile applications
Design interactive prototype screens
Create navigation flow between screens
Prototype testing activity

Module 5: Mobile & Web UI Design (6 Hrs)

  • Mobile app UI design basics
  • Website UI design basics
  • Designing dashboards and forms
  • Responsive interface concepts
  • UI trends and accessibility basics
  • Design handoff basics for developers

Practical / Activity:
Design mobile app home screen
Design responsive website landing page
Create dashboard UI layout
Export assets and design files

Module 6: Mini Project & Portfolio Showcase (8 Hrs)

  • UI/UX project planning
  • User requirement analysis
  • Creating complete UI screens
  • Building clickable prototypes
  • Portfolio presentation basics

Practical / Activity:
Mini UI/UX design project
Create complete mobile/web application interface
Develop interactive prototype using Figma
Project presentation and portfolio showcase

Assessment & Certification:

● 50% Attendance and Participation
● 30% Assignment / Project
● 20% Quiz / Viva (Certificate issued jointly by the School of CS/IT and the University Skill
Development Cell)

Offered By:

School of Computer Science , Engineering and technology

Course Title : Power BI

Course Duration: 30 Hours

Software Required: Microsoft Power BI Desktop, Microsoft Excel

Module 1: Introduction to Power BI (3 Hours)

• Introduction to Power BI
• Features of Power BI
• Power BI Architecture
• Installation of Power BI Desktop
• Power BI Interface Overview
• Business Intelligence Concepts

Module 2: Data Import and Transformation (6 Hours)

• Import Data from Excel and CSV
• Data Types
• Data Cleaning
• Handling Missing Values
• Remove Duplicates
• Power Query Editor
• Merge Queries
• Append Queries

Module 3: Data Modelling (4 Hours)

• Tables and Relationships
• Primary Key and Foreign Key
• Create Relationships
• Star Schema
• Hierarchies
• Data Model View

Module 4: Data Visualization (7 Hours)

• Bar Chart
• Line Chart
• Pie Chart
• Table and Matrix
• Cards and KPIs
• Maps
• Slicers and Filters
• Drill Down
• Conditional Formatting

Module 5: DAX Functions (5 Hours)

• Introduction to DAX
• Calculated Columns
• Measures
• SUM, COUNT, AVERAGE
• IF Function
• SWITCH Function
• Time Intelligence Basics

Module 6: Dashboard Publishing and Project (5 Hours)

• Publish Reports
• Power BI Service
• Dashboard Sharing
• Data Refresh
• Workspace Overview
• Mini Project Creation

Practical Project

Create:
Car Rent Dashboard
OR 

HR Dashboard
OR
 Finance Dashboard

Course Title : Software Testing

Pre-requisites: Basic knowledge of computer programming concepts, Variables, loops, functions, and object-oriented concepts, Understanding of Software Development Fundamentals, Basic idea of SDLC and software applications.

Course Introduction:

Objectives:

The Student will be able to:
1) Understand software testing concepts and methodologies
2) Design effective test cases
3) Perform manual and automated testing
4) Use industry-standard testing tools
5) Conduct API, UI, and performance testing
6) Apply testing in real-world software projects

Course Contents:

Unit
Topics
Hours
1
Fundamentals of Software Testing
Basics of Software Engineering, Need for Software Testing,,Errors, Faults, Failures, Verification vs Validation, SDLC and STLC Principles of Testing
4
2
Testing Techniques
Black Box Testing- Equivalence Partitioning, Boundary Value Analysis, Decision Table Testing. White Box Testing-Statement Coverage, Branch Coverage, Path Coverage
6
3
Test Management & Documentation
Test Planning, Test Scenario & Test Case Writing, Defect Life Cycle, Bug Reporting, Severity vs Priority, Traceability Matrix
6
4
Manual Testing & Functional Testing
Smoke Testing, Sanity Testing, Regression Testing, Retesting, GUI Testing Usability Testing
5
5
Agile Testing & Industry Practices
Agile Methodology, Scrum Basics, Continuous Testing, CI/CD Concepts, Career Opportunities in Testing
9
Total
30

Practical

1) Install required tools
2) Analyze testing phases in a sample software project
3) Design test cases for:
    Login form
    ATM withdrawal system
    Student registration form
4) Prepare:
    Test Plan
    Test Cases

    Defect Reports
5) Manual testing of a website/web application
5.1) Prepare execution report
6) Simulate Agile sprint testing workflow

Case study:

  •  Online Shopping System
  •  Library Management System
  • Student Portal

Course Outcome:

After completing the course, the student shall be able to:
Course Outcome
Bloom’s Level
CO1
Explain fundamental concepts of software testing, SDLC, STLC, and testing principles.
Understand
CO2
Apply testing techniques to design test cases
Apply
CO3
Prepare software testing documents such as test plans, test cases, bug reports, and traceability matrices.
Create
CO4
Analyze defects and execute manual testing
Analyze
CO5
Evaluate testing strategies in Agile environments
Evaluate

Main Reference Books:

1. The Art of Software Testing by lenford J. Myers; later editions by Corey Sandler and Tom Badgett, Second edition (2004), third edition (2011)
2. Software Testing by Ron Patton, Second Edition: 2005
3. Agile Testing: A Practical Guide for Testers and Agile Teams by Lisa Crispin and Janet Gregory 2009, Addison-Wesley Professional.

Designed by

Asst.Prof.Twinkle Modi