TeachingWs19BasicMathTools

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Basic Mathematical Tools for Imaging and Visualization - IN2124

Administrative Info

Lecture: PD Dr. Tobias Lasser

Exercises: Anca Stefanoiu, Manuel Nickel, Walter Simson


IN2124: 2+2 SWS, 5 ECTS

The course is held in English.

Contact

Time & Location

Lecture and exercise:

  • Monday, 16:00 - 18:00, room Interims Hörsaal 2
  • Wednesday, 15:30 - 17:00, room MW 1801

Site Content

Announcements

Overview

For the development and application of many image processing techniques and computer vision algorithms, a deep mathematical understanding is of fundamental importance. This course aims to provide interested students with a solid mathematical basis for imaging and visualization applications.

Course materials

All course materials can be found via the Moodle course.

Literature

MATLAB

Wolfram Alpha

  • For quickly calculating, plotting, or learning something you might want to have a look at Wolfram Alpha.

Linear Algebra

  • Yousef Saad, Iterative Methods for Sparse Linear Systems, SIAM (You can download the book for free!)
  • Gilbert Strang, Introduction to Linear Algebra, Wellesley-Cambridge Press (Available in the library! Check out his video-lectures on youtube!)
  • Lloyd N. Trefethen and David Bau, Numerical Linear Algebra, SIAM (Available in the library!)

Analysis

  • Walter Rudin, Real and Complex Analysis, McGraw-Hill (Available in the library!)

Optimization

Probability Theory

  • Heinz Bauer, Measure and Integration Theory, deGruyter (Available in the library!)
  • Sheldon Ross, Introduction to probability and statistics for engineers and scientists, Elsevier (Available in the library!)




TeachingForm
Title: Basic Mathematical Tools for Imaging and Visualization
Professor: PD Dr. Tobias Lasser
Tutors: Anca Stefanoiu, Manuel Nickel, Walter Simson
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (IN2124)
Term: 2019WiSe
Abstract: For the development and application of many image processing techniques and computer vision algorithms, a deep mathematical understanding is of fundamental importance. This course aims to provide interested students with a solid mathematical basis for imaging and visualization applications.


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 02 Aug 2019 - 09:30 - AncaStefanoiu

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