Go here for last year's schedule.
There are two lectures each week: Wednesday 15.1517.00 hrs and Friday 13.1515.00 hrs. In the planning below, lecture 46A is the Wednesday lecture in week 46 etc. There are Computer Lab sessions (C) in weeks 4749 on Friday, 11.0012.45 hrs.
"James" refers to the book An introduction to statistical learning with applications in R
by Gareth James et al., Springer, 2013.
"Hastie" refers to the book The elements of statistical learning (2nd edition)
by Trevor Hastie et al., Springer 2009.
Video's and slides accompanying the book of James et al.
Lecture  Subject/Slides  Literature  Exercises/Background 

46A  Introduction; Statistical Learning; (extra slides)  James, Chapters 12  Chapter 2, Exercises 17 
46C  No Computer Lab (Open Day)  
46B  No Lecture (Open Day)  
47A  Linear Regression  James, Chapter 3  
47C  Computer Lab  Introduction  
47B  Linear Regression (continued) Derivation of Least Squares Estimates 
James, Chapter 3  Chapter 3, Exercises 1,3,4 and 6 
48A  Classification (extra slides) Derivation of Linear Discriminant Function 
James, Chapter 4  Chapter 4, Exercises 3,5,6,7,8 
48C  Computer Lab  Work on assignment 1  
48B  Linear Model Selection and Regularization (extra slides) 
James, Chapter 6  Chapter 6, Exercises 14 
49A  Neural Networks (slides) 
Hastie, Chapter 11  
49C  Computer Lab  Work on assignment 1  
49B  Neural Networks (continued) (slides) 
Hastie, Chapter 11  
50A  Support Vector Machines (extra slides) (Derivation of distance to decision boundary) 
James, Chapter 9  Chapter 9, Exercises 13 
50B  Exam Statistical Pattern Recognition Friday, 13.1514.45 hrs, Ruppert A and Ruppert Rood 
The schedule for the geometric part of pattern recognition is given below. Slides are the 2016 versions unless it says (new). Slides may be updated throughout the lecture series.
Lecture  Subject/Slides  Literature  Exercises/Background 

51A  Geometric PR Intro; Data; Project start Slides Intro (new), Slides Data (new) 
Project  Project distribution; presence mandatory! 
51B  At 11:00(!) in Ruppert A Geometric Description; Measures and Metrics Slides Description (new), Slides Measures (new) 
Note: 2 hours earlier  
52A  No Lectures  
52B  No Lectures  
1A  No Lectures  
1B  No Lectures  
2A  Tools Slides Tools (new) 
Video 1 Video 2 
17.0018.00: Lecturer available for project questions 
2B  Point matching Slides Point matching (new) 
11.0013.00: Lecturer available for project questions (BBG 416)  
3A  Trajectory Patterns (new) Slides Trajectories 

3B  Visual Analytics Slides Visual Analytics 
Test Questions for exam, GPR part For previous exams, see elsewhere on this site 

4A  Project presentations (by students): Iris Scans Fingerprint Patterns Crime Patterns OCR for Kanji Leadership Patterns in Trajectories Pedestrian Movement Patterns Maritime Traffic Patterns Cloud Patterns Geological Patterns 
Presence mandatory!  
4B  Project presentations (by students): Star Patterns in Astronomy Music Score Patterns Plant and Tree Patterns Seismic Patterns Watershed patterns Street Network Patterns Map Digitization Patterns Patterns in Archaeology 
Presence mandatory!  
5  Exam Geometric Pattern Recognition Friday Feb. 2, 2018, 13.3015.30 