TeachingWs18BasicMathTools

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, Rüdiger Göbl, Walter Simson


IN2124: 2+2 SWS, 5 ECTS

The course is held in English.

Contact

  • Moodle course tba

Time & Location

Lecture and exercise:

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

Exam: Wednesday, February 27, 2019, 10:30 - 11:45

Site Content

Announcements

  • The first session will take place on Wednesday, October 17, 2018.

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 Schedule

Date Room Type Lecturer Topic Materials Solutions
Wed, Oct. 17, 2018 MW 1801 L Tobias Lasser      
Mon, Oct. 22, 2018 Interim HS 2 L Tobias Lasser      
Mon, Oct. 29, 2018 Interim HS 2 L Tobias Lasser      
Mon, Nov. 5, 2018 Interim HS 2 L Tobias Lasser      
Mon, Nov. 12, 2018 Interim HS 2 L Tobias Lasser      
Mon, Nov. 19, 2018 Interim HS 2 L Tobias Lasser      
Mon, Nov. 26, 2018 Interim HS 2 L Tobias Lasser      
Mon, Dec. 3, 2018 Interim HS 2 L Tobias Lasser      
Mon, Dec. 10, 2018 Interim HS 2 L Tobias Lasser      
Mon, Dec. 17, 2018 Interim HS 2 L Tobias Lasser      
Mon, Jan. 7, 2019 Interim HS 2 L Tobias Lasser      
Mon, Jan. 14, 2019 Interim HS 2 L Tobias Lasser      
Mon, Jan. 21, 2019 Interim HS 2 L Tobias Lasser      
Mon, Jan. 28, 2019 Interim HS 2 L Tobias Lasser      
Mon, Feb. 4, 2019 Interim HS 2 L Tobias Lasser      

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, Rüdiger Göbl, Walter Simson
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (IN2124)
Term: 2018WiSe
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 r1.5 - 15 Oct 2018 - 14:59 - TobiasLasser

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