Faculty of Technology


Lecture plan

PhD D0308 Matrix Methods Corse


 
Week nr. Date Subject Tehme Topic
34 24.8.  
35 31.8  
36 7.9  
37 14.9 First Lecture. Overview of the Syllabus. Organization of the course. Selecting groups for colloquium based lectures.
38 21.9  
39  28.9 Four fundamantal subspaces Ch 3. The column space. The row space. The nullspace. The left nullspace. Dimensions of the four fundamantal subspaces Ch. 3.6.

The Nullspace, i.e. the vectors, x, such that Ax=0. The Singular Value Decomposition (SVD) to calculate the Nullspace of an m x n matrix A. How to calculate rank, i.e. rank(A)=r. The dimension of the Nullspace is then: n-r

Least squares regression. Ordinary Least Squares (OLS) regression. Principal Component Analysis (PCA) and Principal Component Regression (PCR). Using QR decomposition for data compression of linear equation Y=XB+E.

40 5.10  
41 12.10.  Group 1. Lecture held by Joachim+Sindre. Ch. 3. Discussions.

42

21.10

 
43 26.10 Group 2. Lecture held by Roshan + Vlad. Ch. 4. Discussions.
44 4.11  
45 9.11 Group 3. Lecture held by Annuskha + Ronnie. Ch. 6. Discussions.
46 16.11  
47 23.11  
48 30.11  
49 7.12.  
 

 

Teacher: Dr. ing., 1. amanuensis David Di Ruscio                             


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Updated 29.09.2011 david.di.ruscio@hit.no