TeachingWs13BasicMathTools

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: Dr. Tobias Lasser

Exercises: Dr. Maximilian Baust


IN2124: 2+2 SWS, 5 ECTS

The lecture is given in English.

eLearning

Time & Location

Lecture and exercise:

  • Tuesday, 16:15 - 17:45, room MI HS 2
  • Thursday, 16:00 - 17:30, room MI HS 2

Attestations:

  • Wednesday, 20/11/2013, 2:15pm-4pm, room MI 03.13.008
  • Wednesday, 10/12/2013, time tba, room MI 03.13.008
  • Wednesday, 29/01/2014, time tba, room MI 03.13.008
  • Monday, 10/02/2014, time tba, room MI 03.13.008

Exam:

  • Monday, 17/02/2014, 10:30 - 12:00, MI Hörsaal 1
    • Duration: 90 minutes
    • Allowed material: exclusively one handwritten DIN A4 sheet
    • Exam inspection: Friday, 21/02/2014, 10:00 - 11:00, MI 03.13.061

Repeat exam:

  • Tuesday, 01/04/2014, 10:30 - 12:00, room MW 0350
    • Duration: 90 minutes
    • Allowed material: exclusively one handwritten DIN A4 sheet
    • Exam inspection: Thursday, 10/04/2014, 16:00 - 17:00, MI 03.13.061

Site Content

Announcements

  • The reapeat exam has been re-scheduled! Now, it takes place on Monday March 31st 2014 @ 10:30 - 12:00 (according to TUMonline). The room can be found here. The registration for the repeat exam will be possible between 03/03/14 and 17/03/14.

  • The exam inspection will take place on Friday, February 21, 2014, from 10:00 to 11:00 in room MI 03.13.061.

  • New version of question catalog available (cf. moodle)!

Overview

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

Script

Course Schedule

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: Dr. Tobias Lasser
Tutors: Dr. Maximilian Baust
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (Module IN2124)
Term: 2013WiSe
Abstract: For the development, but also for the application of many image processing techniques and computer vision algorithms, a deep mathematical understanding is of fundamental importance. This lecture aims to provide interested students with a solid mathematical basis for imaging and visualization applications.


Edit | Attach | Refresh | Diffs | More | Revision r1.92 - 28 Mar 2014 - 12:27 - MaximilianBaust

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