FYS-STK4155 - H?st 2018

Tentative schedule for FYS-STK3155/4155

Morten Hjorth-Jensen [1, 2]

[1] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, USA
[2] Department of Physics, University of Oslo, Norway

 

 

Teaching schedule Fall 2018

Acronyms for textbooks and references to chapter

Lectures are Thursday and Fridays 1215pm-2pm in Store Fysiske Auditorium, Department of Physics. The computer lab is (projects and exercises) is on Wednesdays in room FV329, Department of Physics. Depending on how many people register for the course, we may set up four lab groups as follows

Week 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 No lab first week
Week 35 Regression analysis Exercises TBD HTF chapter 3 and lecture notes 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 Work on exercises
Week 37 Classification and logistic regression Presentation of Project 1, deadline October 1 HTF chapter 4 and lecture notes Work on project 1
Week 38 Optimization methods Exercises and project 1 HTF chapter 5 and lecture notes Work on project 1, deadline October 1
Week 39 Statistics, Bayesian statistics Project 1 Lecture notes Work on Project 1
Week 40 Statistics, Monte Carlo and Randow walks Presentation of project 2, deadline November 5 Lecture notes Deadline project 1, October 1
Week 41 Statistics, Monte Carlo, Gibbs and Metropolis sampling Project 2 Lecture notes Work on project 2
Week 42 Neural networks Project 2 HTF chapter 11 and lecture notes Work on project 2
Week 43 Neural networks Project 2 HTF chapter 11 and lecture notes Work on project 2
Week 44 Neural networks Project 2 HTF chapter 11 and lecture notes Work on project 2
Week 45 Support Vector Machines Presentation and discussion of project 3 HTF chapter 12 and lecture notes Deadline project 2 November 5
Week 46 Decision trees Project 3 HTF chapter 9 and lecture notes Work on project 3
Week 47 Unsupervised learning, Boltzmann machines Project 3 HTF chapter 14 and lecture notes Work on project 3
Week 48 Unsupervised learning, summary of course and final workshop Project 3 Lecture notes Final workshop with presentation of project 3