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[TEA-T3] IDC4U Inter ...
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[TEA-T3] IDC4U Interdisciplinary Studies: Artificial Intelligence and Business Innovation (2024-25 T
AssessmentBook (30%)
Exit Card 4.4
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Shuying (Ivy) Zhang
10 jours 22 heures
Kaosaier Yaremaimaiti
Canada
4 jours 1 heure
Xiaoze (Tai) Yang
Chine
49 jours 22 heures
Anze (Allen) Sun
Pyongyang
10 jours 3 heures
Yutong (Sylivia) Shan
2 jours 5 heures
Yihong (Jack) Niu
36 jours 2 heures
Yihao (Peter) Niu
48 jours 18 heures
Yue Ma
Toronto
2 jours 3 heures
Yunhaoyang Liu
2 jours 22 heures
Runlang Liu
2 jours 5 heures
Yuhan (Amia) Liu
3 jours 2 heures
Sijing (Irene) Li
2 jours
Jiaheng (Andrew) Li
5 jours 3 heures
Shuai (Martin) Jiang
Toronto
Canada
38 jours 14 heures
Xincheng (Tom) Huang
11 jours 12 heures
Chang-Hung (Michael) Hsieh
Hsinchu
Taïwan
50 jours 23 heures
Cheng Gu
5 heures 54 min
Jiajia (Rose) Cai
2 jours 3 heures
Activité précédente
Exit Card 4.3
Activité suivante
Survey 5.1. Assessing Your Understanding of natural language processing (NLP) and Its Business Applications: A Survey on Learning Objectives
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Course outline
Welcome Message from Paul Pu, the leading teacher
Welcome Message from AI Assistants
Course Roadmap of IDC4U Interdisciplinary Studies: AI and Business Innovation
Lesson 1.1. Building Connections and Community
Lesson 1.2, Community and Inquiry (KCI): Theory and Practice in This Course
Lesson 1.3: Exploring the Power of Design Thinking
Lesson 2.1: Introduction to Startups and Competitive Strategies
Lesson 2.2: Develop Ideas for Your Startups
Lesson 3.1: Artificial Intelligence and Its History
AI Terminologies and Definition
Lesson 3.2 Discovering Algorithms through AI-Enhanced Learning
Lesson 3.3 Learning Algorithms in Coding with AI Tools like ChatGPT
Lesson 4.1 Understanding Machine Learning
Lesson 4.2 Data Science and Artificial Intelligence
Midterm Test: Inquiry-Based Problem Solving with AI Tools
Lesson 4.3 Planning Data Sources for Your Startup Company
Lesson 4.4 Planning Machine Learning Solutions for a Startup
Lesson 5.1 Understanding Natural Language Processing (NLP) and Prompt Engineering
Lesson 5.2 Planning Natural Language Processing(NLP) Solutions for a Startup
Lesson 6.1: Exploring Generative AI and Its Tools
Lesson 6.2: Creating a Promotional Video for Your Startup Using Generative AI Tools
Lesson 7.1: Robotics and Its Business Applications
Lesson 8.1: AI and Ethical
Lesson 8.2: AI and Job
Lesson 9.1: The future of AI
Activity1.1.1: Developing Inquiry Skills: Exploring Interpersonal Skills
Activity 1.2.1: Research Using the KCI Framework and ChatGPT
Activity 1.3.1: Sketch a Diagram of the Design Thinking Proces
Activity 1.3.2: Design Thinking in Practice(1 hour 45 minutes)
Activity 2.1.1: Mapping Airbnb's Journey to Success
Activity 2.1.2: Teams analyze a case study to identify which competitive strategy
Activity 3.1.1: Understanding Geoffrey Hinton - Contributions and Perspectives
Activity 3.1.2, Active Learning: Applying AI History to Brainstorm AI and Sustainability
Activity 3.2 Discovering Algorithms through AI-Enhanced Learning
Activity 3.3.1: Learning to Code Your Logic
Activity 3.3.2: Calculating the GCD
Activity 3.3.3: Performance Comparison of Sorting Algorithms
Activity 4.1.1 Using Teachable Machine
Extra 1.1: DeepSeek vs. ChatGPT: User Experience Comparison
Activity 5.1: Hands-On NLP Exercises: Applying Prompt Engineering to Startups
Activity 5.2： The Key Differences Between DeepSeek and ChatGPT
Project Step 2 Activity: Building Your Startup Team and Crafting Your Vision
Project Step 3-Activity: Planning data sources for your startup company
Activity: Project Step 4-Planing Machine Learning solutions for your startup company
Activity: Final project collaboration
7 Examples of Design Thinking in Practice
Case Study: Startup Success Story: The Airbnb Revolution
Porter's five forces analysis for Tesla
Case Study: Bill Gates Motivational Videos
Top 30 NLP Use Cases in 2024: Comprehensive Guide
Survey 9.1: End-of-Course Reflection Survey on Redefinition of Teaching and Learning through AI in an Interdisciplinary Context
Survey 1.1.1: Your insights about Artificial Intelligence
Survey 1.1.2: Your insights to Enroll in this AI and Business Innovation Course
Survey 1.1.3 Exit Card: Building Connections and Community
Assignment 1.1: Build Your Online Profile and Greet Your Classmates
Exit Card 1.2.: Short Survey
Exit Card1.3: Short Survey
Quiz 1.3.1: Design Thinking
Quiz 2.1.1: Startups and Competitive Strategies
Exit Card 2.1
Exit Card 2.2
Survey 3.1. Assessing Your Understanding of the History of AI: A Survey on Learning Objectives
Quiz 3.1, Artificial Intelligence and Its History
Exit Card 3.1
Survey 3.2.1. Assessing Your Understanding of Algorithms: A Survey on Learning Objectives
Quiz 3.2: Discovering Algorithms through AI-Enhanced Learning
Test 1: Evaluation of Knowledge in Design Thinking, Business Competitive Strategies, and Artificial Intelligence Concepts
Survey 3.3.1. Assessing Your Understanding of Programming Languages: A Survey on Learning Objectives
Exit Card 3.2
Quiz 3.3： Learning Algorithms in Coding with AI Tools like ChatGPT
Exit Card 3.3
Survey 4.1. Assessing Your Understanding of Machine Learning
Quiz 4.1: Understanding Machine Learning
Exit Card 4.1
Test 2: Evaluation of Knowledge in Algorithms， programming language， and Machine Learning.
Midterm Test – Inquiry-Based Problem Solving with AI Tools
Exit Card 4.2
Guest Survey 1.1. Guest Speaker: Dr. Bao on AI in Marketing – A Case Study
Guest Survey 1.2. Guest Speaker: Professor Lin on AI in Marketing
Guest Survey 1.3. Guest Speaker: Professor Preeti Raman on Data Analytics and Visualizations
Exit Card 4.3
Survey 5.1. Assessing Your Understanding of natural language processing (NLP) and Its Business Applications: A Survey on Learning Objectives
Quiz 5.1: NLP and Prompt Engineering
Exit Card 5.1
Learning Progress Survey: Exploring KCI, Design Thinking, and Project-Based Learning in AI and Business Innovation
Quiz 7.1 Robotics
Test 3: Evaluation of Knowledge in NLP and Prompt Engineering
Project Step 1: Develop Your Ideas and Assemble Your Startup Team
Midterm Project: Inquiry-Based Problem Solving with AI Tools
Project Step 3: Planning data for your startup company
Project Step 4- Planning Machine Learning Solutions for your startup company
Project Step 5- Planning for Natural Language Processing (NLP) Applications in Your Startup
Final Project: Implementing AI Initiatives in Your Startup Business
Project Step 1: Develop Your Startup Ideas and Build Your Team
Project Step 2: Building Your Startup Team and Crafting Your Vision
Project Step 3: - Planning data sources for your startup company
Project Step 4: - Planning Machine Learning Solutions for your startup company
Project Development Roadmap Step 5_Planning for Natural Language Processing (NLP) Applications in Your Startup
Project Step 6. Creating a Promotional Video or PPT for Your Startup Using Generative AI Tools
Project Development Roadmap Step 7_Planning for Using robotics in your organization
Project Development Roadmap Step 8_AI, Employment, and Ethical Considerations
Final Project: Implementing AI Initiatives in Your Startup Business