Morten Hjorth-Jensen
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14 KiB
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128 lines
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<center><h1>Tentative schedule for FYS-STK3155/4155</h1></center> <!-- document title -->
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<!-- author(s): <a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a> -->
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<b><a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a></b> [1, 2]
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<!-- institution(s) -->
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<center>[1] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, USA</b></center>
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<center>[2] <b>Department of Physics, University of Oslo, Norway</b></center>
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<h2 id="teaching-schedule-fall-2018">Teaching schedule Fall 2018 </h2>
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Acronyms for textbooks and references to chapter
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<ul>
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<li> HTF: <a href="https://www.springer.com/gp/book/9780387848570" target="_self">Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer</a></li>
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<li> AG: <a href="http://shop.oreilly.com/product/0636920052289.do" target="_self">Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly</a></li>
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</ul>
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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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<li> Group 1: Wednesdays 10am-12pm</li>
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<li> Group 2: Wednesdays 12pm-2pm</li>
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<li> Group 3: Wednesdays 2pm-4pm</li>
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<li> Group 4: Wednesdays 4pm-6pm</li>
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<table border="1">
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<tr><th align="center"> Week </th> <th align="center"> Topics to be covered </th> <th align="center"> Projects, exercises and deadlines </th> <th align="center"> Reading assignments </th> <th align="center"> Lab activities </th> </tr>
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<tr><td align="center"> Week 34 </td> <td align="center"> Introduction and regression analysis </td> <td align="center"> Exercises TBD </td> <td align="center"> HTF chapters 1-3 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" target="_self">lecture notes</a> </td> <td align="center"> No lab first week </td> </tr>
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<tr><td align="center"> Week 35 </td> <td align="center"> Regression analysis </td> <td align="center"> Exercises TBD </td> <td align="center"> HTF chapter 3 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Introduction to Git, GitHub and Python software, Python technicalities and work on exercises </td> </tr>
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<tr><td align="center"> Week 36 </td> <td align="center"> Regression analysis and nearest neighbors </td> <td align="center"> Exercises TBD </td> <td align="center"> HTF chapters 3, 4 and 13 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on exercises </td> </tr>
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<tr><td align="center"> Week 37 </td> <td align="center"> Classification and logistic regression </td> <td align="center"> <a href="https://compphysics.github.io/MachineLearning/doc/Projects/2018/Project1/html/Project1-bs.html" target="_self">Presentation of Project 1, deadline October 1</a> </td> <td align="center"> HTF chapter 4 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 1 </td> </tr>
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<tr><td align="center"> Week 38 </td> <td align="center"> Optimization methods </td> <td align="center"> Exercises and project 1 </td> <td align="center"> HTF chapter 5 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 1, deadline October 1 </td> </tr>
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<tr><td align="center"> Week 39 </td> <td align="center"> Statistics, Bayesian statistics </td> <td align="center"> Project 1 </td> <td align="center"> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" target="_self">Lecture notes</a> </td> <td align="center"> Work on Project 1 </td> </tr>
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<tr><td align="center"> Week 40 </td> <td align="center"> Statistics, Monte Carlo and Randow walks </td> <td align="center"> Presentation of project 2, deadline November 5 </td> <td align="center"> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" target="_self">Lecture notes</a> </td> <td align="center"> Deadline project 1, October 1 </td> </tr>
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<tr><td align="center"> Week 41 </td> <td align="center"> Statistics, Monte Carlo, Gibbs and Metropolis sampling </td> <td align="center"> Project 2 </td> <td align="center"> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" target="_self">Lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 42 </td> <td align="center"> Neural networks </td> <td align="center"> Project 2 </td> <td align="center"> HTF chapter 11 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 43 </td> <td align="center"> Neural networks </td> <td align="center"> Project 2 </td> <td align="center"> HTF chapter 11 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 44 </td> <td align="center"> Neural networks </td> <td align="center"> Project 2 </td> <td align="center"> HTF chapter 11 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 45 </td> <td align="center"> Support Vector Machines </td> <td align="center"> Presentation and discussion of project 3 </td> <td align="center"> HTF chapter 12 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/html/svm-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Deadline project 2 November 5 </td> </tr>
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<tr><td align="center"> Week 46 </td> <td align="center"> Decision trees </td> <td align="center"> Project 3 </td> <td align="center"> HTF chapter 9 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/html/DecisionTrees-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 47 </td> <td align="center"> Unsupervised learning, Boltzmann machines </td> <td align="center"> Project 3 </td> <td align="center"> HTF chapter 14 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 48 </td> <td align="center"> Unsupervised learning, summary of course and final workshop </td> <td align="center"> Project 3 </td> <td align="center"> Lecture notes </td> <td align="center"> Final workshop with presentation of project 3 </td> </tr>
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