Master AI and Machine Learning: From Neural Networks to Applications
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You will learn about algorithms and abstraction in this free course, Introduction to computational thinking, and encounter some applications of computational thinking in various disciplines, ranging from biology and physics to economics and sport science.
Syllabus
- Introduction
- Learning outcomes
- 1 Computational thinking and automation
- 1 Computational thinking and automation
- 1.1 Automation
- 2 Computational thinking and abstraction
- 2 Computational thinking and abstraction
- 2.1 Models
- 2.2 Encapsulation
- 2.3 Encapsulation in computing
- 2.4 Why modelling and encapsulation matter
- 2.5 Computational thinking: the overview diagram
- 2.6 Varieties of abstraction
- 2.7 Virtual worlds
- 3 Computational thinking everywhere
- 3 Computational thinking everywhere
- 3.1 Machine learning
- Conclusion
- Glossary
- References
- Acknowledgements