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update course info page

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mhjensen
2019-08-20 12:58:42 +02:00
parent ebc3f557cb
commit d1716c0f93
6 changed files with 88 additions and 285 deletions
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doc/web/tmp_preprocess__course.do.txt
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@@ -73,23 +73,12 @@ ${text_types(ch)}
% endfor
!split
===== Python and Scikit Learn, a short guide =====
* HTML format only:
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningpython/html/learningpython-bs.html"
!split
===== Teach yourself C++ =====
* HTML format only:
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningcpp/html/learningcpp-bs.html"
!split
===== Projects and Exercises Fall 2019 =====
=== First homework set, week 35 ===
=== First homework set, week 35 (Available August 20) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/pdf/hw1.pdf"
@@ -97,7 +86,7 @@ ${text_types(ch)}
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw1/html/hw1-bs.html"
=== Second homework set, week 36 ===
=== Second homework set, week 36 (Available August 26) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/hw2/pdf/hw2.pdf"
@@ -107,7 +96,7 @@ ${text_types(ch)}
=== Project 1, Deadline September 30 ===
=== Project 1, Deadline September 30 (available August 26) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/pdf/Project1.pdf"
@@ -116,7 +105,7 @@ ${text_types(ch)}
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html"
=== Project 2, Deadline November 4 ===
=== Project 2, Deadline November 4 (avaliable September 23) ===
* LaTeX and PDF:
* "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/pdf/Project2.pdf"
@@ -124,7 +113,7 @@ ${text_types(ch)}
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html"
=== Project 3, Deadline December 13 ===
=== Project 3, Deadline December 13 (available October 28) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project3/pdf/Project3.pdf"
@@ -229,43 +218,3 @@ _General Machine Learning Books_:
!split
===== Teaching schedule Fall 2019 =====
Acronyms for textbooks and references to chapter
* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570"
* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do"
|----------------------------------------------------------------------------------------------------------------------------|
| Week and days | Topics to be covered | Projects, exercises and deadlines | Reading assignments| Lab activities |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 34| Introduction and regression analysis | Exercises TBD | HTF chapters 1-3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| No lab first week |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| Introduction to Git, GitHub and Python software, Python technicalities and work on exercises|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 38 | Optimization methods | Exercises and project 1 | HTF chapter 5 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" | Work on project 1, deadline October 1|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 39 | Logistic regression and optimization | Project 1 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" | Work on Project 1|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 40 | Neural Networks | Presentation of project 2, deadline November 12 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Deadline project 1, October 1|
|----------------------------------------------------------------------------------------------------------------------------|
| Week 41 | Neural Networks | Project 2 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Work on project 2 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 42 | Neural Networks | Project 2 | HTF chapter 11 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 43 | Dimensionality reduction and support vector machines | Project 2 | HTF chapters 3 and 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 44 | SVM and tree and forest models | Project 2 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 |
|----------------------------------------------------------------------------------------------------------------------------|
| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)|
|----------------------------------------------------------------------------------------------------------------------------|