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Basic Mathematical Methods for Imaging and Visualization (IN2124)

Course 240918393 in WS 2020/1

General Data

Course Type lecture with integrated exercises
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Lecturers Tobias Lasser
Assistants:
Theodor Cheslerean Boghiu
Josue Page Vizcaino
Erdal Pekel
Anca-Elena Stefanoiu
Dates Wed, 15:30–17:00, MW 1801
Mon, 16:00–18:00, Interims I 102

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Basic and most commonly applied techniques will be presented in the lectures and demonstrated in example applications from Image Processing and Computer Vision. The same mathematical methods are also applied in other engineering disciplines such as artificial intelligence, machine learning, computer graphics, robotics etc. The module IN2124 is covering topics such as: - Linear Algebra ++ linear spaces and bases ++ linear mappings and matrices ++ linear equation systems, solving linear equation systems ++ least squares problems ++ eigen value problems and singular value decomposition - Analysis ++ metric spaces and topology ++ convergence, compactness ++ continuity and differentiability in multiple dimension, taylor expansion - Optimization ++ existence and uniqueness of minimizers, identification of minimizers ++ gradient descent, conjugate gradient ++ Newton method, fixed point iteration - Probability theory ++ probability spaces, random variables ++ expectation and conditional expectation ++ estimators, expectation maximization method In the exercises the participants have the opportunity to gain deeper understanding and to collect practical experience while implementing or applying the methods in order to solve real problems.
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2019/20 Basic Mathematical Methods for Imaging and Visualization (IN2124) Lasser, T.
Assistants: Nickel, M.Simson, W.Stefanoiu, A.
Wed, 15:30–17:00, MW 1801
Mon, 16:00–18:00, Interims I 102
WS 2018/9 Basic Mathematical Methods for Imaging and Visualization (IN2124) Lasser, T.
Assistants: Göbl, R.Simson, W.Stefanoiu, A.
Wed, 15:30–17:00, MW 1801
Mon, 16:00–18:00, Interims I 102
WS 2017/8 Basic Mathematical Methods for Imaging and Visualization (IN2124)
Responsible/Coordination: Lasser, T.
Assistants: Göbl, R.Simson, W.Stefanoiu, A.
Tue, 12:30–14:30, MW 1801
Mon, 16:00–18:00, Interims I 102
and singular or moved dates
WS 2016/7 Basic Mathematical Methods for Imaging and Visualization (IN2124) Lasser, T.
Assistants: Rieke, N.Stefanoiu, A.
Wed, 12:00–14:00, MI HS2
Thu, 16:00–18:00, MI HS2
and singular or moved dates
WS 2015/6 Basic Mathematical Methods for Imaging and Visualization (IN2124) Mon, 16:00–18:00, MI HS2
Thu, 16:00–18:00, MI HS2
WS 2014/5 Basic Mathematical Methods for Imaging and Visualization (IN2124) Mon, 16:00–18:00, MI HS2
Thu, 16:00–18:00, MI HS2
WS 2013/4 Basic Mathematical Methods for Imaging and Visualization (IN2124)
SS 2013 Basic Mathematical Methods for Imaging and Visualization (IN2124)
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