| L0: Introduction to AI |
I. Journey into the history of the artificial intelligence field |
0 |
No deadline |
| L0: Introduction to AI |
II. Artificial intelligence systems in your own life |
0 |
No deadline |
| L0: Introduction to AI |
III. Artificial intelligence systems in society |
0 |
No deadline |
| L0: Introduction to AI |
IV. Artificial Intelligence systems across domains |
0 |
No deadline |
| L0: Introduction to AI |
V. Concerns related to artificial intelligence systems |
0 |
No deadline |
| L0: Introduction to AI |
VI. Capabilities of AI systems |
0 |
No deadline |
| L0: Introduction to AI |
I. Reasons why future professionals should learn about AI |
0 |
No deadline |
| L0: Introduction to AI |
II. Competencies for professionals in an AI world |
0 |
No deadline |
| L0: Introduction to AI |
I. Responsible use of LLMs |
0 |
No deadline |
| L1: Digitization |
I. Analog Digital Tinder |
0 |
No deadline |
| L1: Digitization |
II. Analog and digital representation |
0 |
No deadline |
| L1: Digitization |
III. Digitization of a photo |
0 |
No deadline |
| L1: Digitization |
IV. Analog Digital Tinder 2 |
0 |
No deadline |
| L1: Digitization |
I. How far can you count with one hand? |
0 |
No deadline |
| L1: Digitization |
II. The binary system |
0 |
No deadline |
| L1: Digitization |
III. The binary system and the computer |
0 |
No deadline |
| L1: Digitization |
Excursus: The coding of colors |
0 |
No deadline |
| L1: Digitization |
I. Input, processing and output |
0 |
No deadline |
| L1: Digitization |
II. Hardware and software |
0 |
No deadline |
| L1: Digitization |
III. Performance data of a computer |
0 |
No deadline |
| L1: Digitization |
I. Internet I |
0 |
No deadline |
| L1: Digitization |
II. Internet-experiments |
0 |
No deadline |
| L1: Digitization |
III. Internet II |
0 |
No deadline |
| L1: Digitization |
Excursus: WWW |
0 |
No deadline |
| L2: Algorithms |
I. What is an algorithm? |
0 |
No deadline |
| L2: Algorithms |
II. Algorithm yes or no? |
0 |
No deadline |
| L2: Algorithms |
I. Programming languages: the language of digitization |
0 |
No deadline |
| L2: Algorithms |
II. Blockly and Python welcome you! |
0 |
No deadline |
| L2: Algorithms |
III. Variables, data types, and operations |
0 |
No deadline |
| L2: Algorithms |
IV. Conditional statements |
0 |
No deadline |
| L2: Algorithms |
V. Loop structures |
0 |
No deadline |
| L2: Algorithms |
VII. Lists |
0 |
No deadline |
| L2: Algorithms |
VI. Functions |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
I. What do you think AI is? |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
II. Perspectives on AI: Discussing definitions |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
I. In your opinion, what is an AI system? |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
II. Why should you know what an AI system is? |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
III. Traditional computer systems vs. artificial intelligence systems |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
IV. Definition of an AI system |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
V. AI system! - or maybe not? |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
VI. AI systems embedded in traditional systems |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
VII. AI techniques and AI systems |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
VIII. Discussing with colleagues |
0 |
No deadline |
| L3: What is AI? What are AI systems? |
I. Knowledge-based AI |
0 |
No deadline |
| L4: Data |
I. Data |
0 |
No deadline |
| L4: Data |
II. Big Data |
0 |
No deadline |
| L4: Data |
I. Data and AI |
0 |
No deadline |
| L4: Data |
IV. Overview |
0 |
No deadline |
| L4: Data |
I. Personal Data |
0 |
No deadline |
| L4: Data |
II. Potential Data Protection Violations in Connection with AI Systems |
0 |
No deadline |
| L4: Data |
III. Possible Solutions: Data Protection Violations in Connection with AI |
0 |
No deadline |
| L4: Data |
IV. Potential Intellectual Property Violations in Connection with AI Systems |
0 |
No deadline |
| L4: Data |
V. Possible Solutions: Copyright Infringements in Connection with AI |
0 |
No deadline |
| L4: Data |
VI. Back to the Initial Question: Discuss with Colleagues |
0 |
No deadline |
| L4: Data |
I. Data "Across Domains" |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
Establishing the connection |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
I. A journey into the supervised learning approach |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
II. Introduction to supervised learning |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
III. Supervised learning: Regression |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
IV. Supervised learning: Classification |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
V. Generalization |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
VI. Generalization: A real example |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
VII. Human supervision |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
I. Helping a farmer |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
II. Bias and fairness |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
III. Bias and human supervision |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
IV. Discussion |
0 |
No deadline |
| L5: Machine learning - Supervised learning |
I. Problem solving in different areas with supervised learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
Establishing the connection |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
I. A journey into the unsupervised learning approach |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
II. Introduction to unsupervised learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
III. Understanding unsupervised cluster detection interactively |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
IV. Applications of unsupervised learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
I. A journey into the reinforcement learning approach |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
II. Introduction to reinforcement learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
III. Exploring reinforcement learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
IV. Applications of reinforcement learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
I. Recommendation systems |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
II. Possible solutions |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
III. Discussion |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
I. Problem solving in different areas with unsupervised and reinforcement learning |
0 |
No deadline |
| L6: Machine learning - unsupervised learning and reinforcement learning |
Overview: Approaches to machine learning |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
Establishing the connection |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
I. A journey into the technology of deep learning |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
II. Understanding how computers learn with artificial neural networks |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
III. Godfather of AI |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
I. Resctrictions of AI systems |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
II. Mitigation strategies: Transparency and explainability |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
III. Transparency of AI systems – AI Act |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
IV. Discussion |
0 |
No deadline |
| L7: Artificial Neural Networks and Deep Learning |
I. Black box models “across domains” |
0 |
No deadline |
| L8: Large Language Models |
Establishing the connection |
0 |
No deadline |
| L8: Large Language Models |
I. Real or AI-generated? |
0 |
No deadline |
| L8: Large Language Models |
I. Language models |
0 |
No deadline |
| L8: Large Language Models |
II. Large language models |
0 |
No deadline |
| L8: Large Language Models |
III. Large language models: Pretraining |
0 |
No deadline |
| L8: Large Language Models |
IV. Key technical concepts of GPTs |
0 |
No deadline |
| L8: Large Language Models |
V. Large language models: Finetuning |
0 |
No deadline |
| L8: Large Language Models |
I. Understanding the problem of hallucinations and their effects |
0 |
No deadline |
| L8: Large Language Models |
II. Other limitations of LLMs |
0 |
No deadline |
| L8: Large Language Models |
I. Prompt Engineering and Prompt Strategies |
0 |
No deadline |
| L8: Large Language Models |
II. Creating a good prompt |
0 |
No deadline |
| L8: Large Language Models |
III. Practicing |
0 |
No deadline |
| L8: Large Language Models |
IV. Discussion |
0 |
No deadline |
| L8: Large Language Models |
I. Problem solving in various areas with large language models |
0 |
No deadline |
| L9: Generative AI |
Establishing the connection |
0 |
No deadline |
| L9: Generative AI |
I. Real or AI generated? |
0 |
No deadline |
| L9: Generative AI |
II. How are image generators created? |
0 |
No deadline |
| L9: Generative AI |
III. Real or AI generated? |
0 |
No deadline |
| L9: Generative AI |
IV. How are audio generators created? |
0 |
No deadline |
| L9: Generative AI |
V. Unimodal Systems vs. Multimodal Systems |
0 |
No deadline |
| L9: Generative AI |
I. Ecological Well-Being: Introduction |
0 |
No deadline |
| L9: Generative AI |
II. Ecological Well-Being: Minimize risks |
0 |
No deadline |
| L9: Generative AI |
III. Discussion |
0 |
No deadline |
| L9: Generative AI |
I. Deepfakes: Introduction |
0 |
No deadline |
| L9: Generative AI |
II. Deepfakes: Minimize risks |
0 |
No deadline |
| L9: Generative AI |
III. Discussion |
0 |
No deadline |
| L9: Generative AI |
I. Trying out generative AI-systems |
0 |
No deadline |
| L9: Generative AI |
I. Problem Solving in Various Fields with Generative AI |
0 |
No deadline |
| L10: AI agents |
I. AI agents: Introduction and some examples |
0 |
No deadline |
| L10: AI agents |
I. How do AI agentic systems work? |
0 |
No deadline |
| L10: AI agents |
II. AI agents and agent based AI: Levels of autonomy |
0 |
No deadline |
| L10: AI agents |
I. Challenges and limitations of AI agents |
0 |
No deadline |
| L10: AI agents |
II. Discussion |
0 |
No deadline |
| L10: AI agents |
I. Trying out AI agentic systems |
0 |
No deadline |
| L10: AI agents |
I. Problem-solving in different domains with AI agents |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. Introduction |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. Idea development and research design: Possible applications, risks, and countermeasures |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. Literature review with AI systems |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
II. The limitations |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
III. Minimizing the limitations |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. Improvement of writing and communication |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. ChatGPT as an author |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
II. Images generated by AI systems: Risks in research |
0 |
No deadline |
| L11: AI Systems in the Research Workflow |
I. Overall recommendations for the use of AI systems in scientific work |
0 |
No deadline |