Chapter presentation

Chapter contents

Part A: Digital environment

➥ Module 1: Recognizing the main equipment
➥ Module 2: Operating system principles
➥ Module 3: Understanding the computer network
➥ Module 4: Managing data

Part B: Multimedia

➥ Module 5: Basic digital image processing
➥ Module 6: Identifying the key elements of digital sound
➥ Module 7: Digital video objects
➥ Module 8: Understanding the interoperability of multimedia objects
➥ Module 9: Preparing a video resume
➥ Module 10: Creating a video resume
➥ Module 11: Gimp
➥ Module 12: Writing a film script
➥ Module 13: Identifying video codecs
➥ Module 14: Identifying video formats

Part C: Algorithms and Programming

➥ Module 15: Introduction to algorithms for computer science
➥ Module 16: Algorithmic basics

Part D: Preparation for PIX Certification

➥ Training on all PIX competencies
➥ Other digital culture resources

Part E: Word Processing

➥ Module 17: Composing a document
➥ Module 18: Exporting a file
➥ Module 19: Editing
➥ Module 20: Spelling
➥ Module 21: Character and paragraph formatting
➥ Module 22: Existing styles
➥ Module 23: Tabs and spacing
➥ Module 24: Insertions
➥ Module 25: Document templates
➥ Module 25: Document templates
➥ Module 26: Sections and columns
➥ Module 27: Inserting and anchoring a table
➥ Module 28: Merging in a table and using page breaks
➥ Module 29: Figures
➥ Module 30: Adding and modifying styles
➥ Module 31: Track changes
➥ Module 32: Mail merge
➥ Module 33: Tables and references
➥ Module 34: Document templates
➥ Module 35: Master and sub-documents
➥ Module 36: Forms
➥ Module 37: Dynamic linking

Part F: Spreadsheets

➥ Module 38: Getting started
➥ Module 39: Spreadsheet basics with Excel
➥ Module 40: Structuring data
➥ Module 41: Excel tables
➥ Module 42: Pivot tables and data models
➥ Module 43: External data with Excel

Part G: Presentations

➥ Module 44: Getting started

Part H: Computing and Society

➥ Module 45: Computing and society

Part I: Generative AI tools for students

Discovering AI:
➥ Module 46: Generative AI
➥ Module 47: Generative AI tools for students
Training with AI:
➥ Module 48: Identifying use cases for text-based generative AI