Classes
Linear Data
Linear Data is a book coauthored by James Wilson and myself on linear algebra for data science. For links to the text, the labs, and a HW set click here.
Misc. Figures
Python- and LaTeX-generated figures with bilingual (English/German) descriptions.
This list of courses taught is no longer updated.
Spring Semester 2019
MATH 369-003 Linear Algebra: For more information, see the Canvas page. MATH 435-002 Projects in Applied Mathematics: For more information, see the Canvas page.
Fall Semester 2019
MATH 369-001 Linear Algebra: For more information, see the Canvas page.
Summer Semester 2019
Algebraic, Geometric and Combinatorial Methods in Frame Theory (Prof. Dr. Emily King)
Winter Semester 2018/2019
Harmonic Analysis: Theory and Applications (Prof. Dr. Emily King)
Inverse
Methods and Data Analysis in Environmental Physics (Prof.
Dr. Emily King, Prof. Dr. Reiner Schlitzer)
Winter Semester 2017/2018
Inverse
Methods and Data Analysis in Environmental Physics (Prof.
Dr. Emily King, Prof. Dr. Reiner Schlitzer)
Reading Course in Sparse and redundant representation systems (Prof.
Dr. Emily King)
Reading Course in Randomisation approaches in data
analysis (Prof. Dr. Emily King)
Summer Semester 2017
Analysis 2 (Prof. Dr. Emily King)
Winter Semester 2016/2017
Analysis 1 (Prof.
Dr. Emily King)
Introduction to Mathematical Parameter Identification:
Data analysis and image processing (T3) (Prof.
Dr. Emily King)
Inverse Methods and Data Analysis in Environmental Physics (Prof.
Dr. Emily King, Prof. Dr. Reiner Schlitzer)
Winter Semester 2015/2016
Inverse
Methods and Data Analysis (Prof.
Dr. Emily King, Prof. Dr. Reiner Schlitzer)
Summer Semester 2015
Compressed Sensing (Prof. Dr. Emily King)Winter Semester 2014/2015
Inverse
Methods and Data Analysis in Environmental Physics (Prof.
Dr. Emily King, Prof. Dr. Reiner Schlitzer)
Seminar Frames – Eine Einführung (Prof.
Dr. Emily King, Prof. Dr. Eva-Maria Feichtner)
Summer Semester 2014
Transforms and Dictionaries (Prof. Dr. Emily King)