Computing Systems and IT Skills Practice
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Follow on Instagram for UpdatesComputing Systems and IT Skills Practice Syllabus — Unit-wise Content
The official GTU curriculum for Computing Systems and IT Skills Practice (subject code DI01071021) as prescribed for AI(A · Semester 1 divides the course into 5 units, covering 69 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI01071021)Unit 1 Fundamentals of Computing Systems
- • Introduction to computers and characteristics : Definition of computer
- Characteristics of computer
- Applications of computers in various fields • Generations and types of computers: First generation
- Second generation
- Third generation
- Fourth generation
- Fifth generation
- Desktop computer
- laptop computers
- super computer
- mobile devices • Components of computer system : Input devices
- Output devices
- Storage devices
- Processing devices • CPU components: ALU, Control Unit
- Registers • Memory systems: RAM, ROM, Cache
- Secondary storage devices • System software and application software
Unit 2 Internet Technologies and Cyber security
- • Introduction to Computer Networks: Definition of computer network
- Types of networks (LAN, MAN, WAN) • Internet Fundamentals: What is Internet
- Web browser
- Web server
- Client–server model • World Wide Web: URL, Domain name
- Search engines
- Websites • Email Communication: Creating email account
- Sending and receiving email
- CC and BCC • Cyber security Fundamentals: Confidentiality
- Availability • Cyber Threats: Malware
- Social engineering
- Identity theft • Digital Safety Practices: Password security
- Two factor authentication
- Safe internet usage
Unit 3 Problem Solving Techniques
- • Introduction to Problem Solving: Concept of problem solving
- Importance in computing • Steps in Problem Solving: Problem identification
- Solution design
- Testing • Algorithms: Definition of algorithm
- Characteristics of algorithms
- Writing simple algorithms
- Algorithm Design Concepts
- Sequential execution
- Selection (decision making)
- Iteration (repetition) • Flowcharts: Definition of flowchart
- Standard flowchart symbols
- Flowchart design Program Name: Diploma Engineering Level: Diploma Branch: Artificial Intelligence (AI) and Machine Learning Subject Code : DI01071021 Subject Name : Computing Systems and IT Skills Practice w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page no.3 of 5
Unit 4 Block Based Programming
- • Introduction to Programming: Concept of programming
- Programming languages • Block Coding: Concept of block programming
- Advantages of block coding
- Edublocks • Types of Blocks: Motion blocks
- Looks blocks
- Events blocks
- Control blocks
- Variables • Programming Logic: Conditions
Unit 5 Digital Productivity Tools and Introduction to AI
- • Digital Productivity Tools : Introduction to productivity tools
- Document creation and editing
- Spreadsheet basics
- Presentation tools • Document Processing : Creating and formatting documents
- Inserting tables
- images and hyperlinks
- Page layout and formatting • Spreadsheet Basics: Spreadsheet interface
- Data entry and formatting
- Basic formulas and functions
- Charts and data visualization • Presentation Tools : Creating presentation slides
- Slide layouts and themes
- Adding images
- charts and multimedia
- Slide transitions and animations • Introduction to Artificial Intelligence: Definition of Artificial Intelligence
- Difference between AI and traditional programming
- Applications of AI in daily life AI Tools for Learning and Productivity: • ChatGPT – AI tool for generating text
- summaries, and coding help • Google Gemini – AI assistant for answering questions
- research support, and content generation • Canva AI (Magic Design / AI Image Generator) – tool for creating posters
- presentations, and images • Google Teachable Machine – simple tool to demonstrate basic AI model training and classification
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