mhjensen
59 lines
6.6 KiB
Plaintext
59 lines
6.6 KiB
Plaintext
# Strange way of testing for vortex...
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# #ifdef NON_VORTEX
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TITLE: Overview of course material: Computational Physics
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TOC: off
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# #else
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TITLE: Tentative schedule for FYS-STK3155/4155
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AUTHOR: "Morten Hjorth-Jensen":"http://mhjgit.github.io/info/doc/web/" at Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, USA & Department of Physics, University of Oslo, Norway
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# #endif
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!split
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===== Teaching schedule Fall 2018 =====
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Acronyms for textbooks and references to chapter
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* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570"
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* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do"
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Lectures are Thursday and Fridays 1215pm-2pm. The computer lab is (projects and exercises) is on Wednesdays. Depending on how many people register for the course, we may set up four lab groups as follows
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* Group 1: Wednesdays 10am-12pm
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* Group 2: Wednesdays 12pm-2pm
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* Group 3: Wednesdays 2pm-4pm
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* Group 4: Wednesdays 4pm-6pm
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| Week | Topics to be covered | Projects, exercises and deadlines | Reading assignments| Lab activities |
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| 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 |
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| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and 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|
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| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises|
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| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2018/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|
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| 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|
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| Week 39 | Statistics, Bayesian statistics | Project 1 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" | Work on Project 1|
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| Week 40 | Statistics, Monte Carlo and Randow walks | Presentation of project 2, deadline November 5 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Deadline project 1, October 1|
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| Week 41 | Statistics, Monte Carlo, Gibbs and Metropolis sampling | Project 2 | "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" | Work on project 2 |
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| 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 |
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| Week 43 | 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 |
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| Week 44 | 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 |
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| Week 45 | Support Vector Machines | Presentation and discussion of project 3 | HTF chapter 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/svm/html/svm-bs.html" | Deadline project 2 November 5 |
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| Week 46 | Decision trees | Project 3 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/html/DecisionTrees-bs.html" | Work on project 3 |
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| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Work on project 3 |
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| Week 48 | Unsupervised learning, summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 |
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