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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-12-05 17:19:09 -0700 |
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| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-12-05 17:19:09 -0700 |
| commit | 39951d053090d933a5f6520710993fa9361b9b73 (patch) | |
| tree | 8054d36ca163881abd53534bcb669bcd97ee9fe8 /tutorials/module_5/introduction_to_ai.md | |
| parent | db4ccdbf5305dae374882e5416db88be91ec132b (diff) | |
Added module 5 lectures in markdown
Diffstat (limited to 'tutorials/module_5/introduction_to_ai.md')
| -rw-r--r-- | tutorials/module_5/introduction_to_ai.md | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/tutorials/module_5/introduction_to_ai.md b/tutorials/module_5/introduction_to_ai.md new file mode 100644 index 0000000..17477c5 --- /dev/null +++ b/tutorials/module_5/introduction_to_ai.md @@ -0,0 +1,13 @@ +Lecture 1: Introduction to AI + +- Historical context: Expert systems -> machine learning -> deep learning +- What is AI? Deep learning? Neural Networks? +- What makes AI useful in engineering: automation, prediction, anomaly detection +- Types of engineering problems where ai is superior. +- Application: + - Predictive maintenance + - Quality control + - CFD/FEA surrogate models +- Limitations, misconceptions and ethical considerations +- Short demo: Show a simple trained model making prediction (linear regression) + |