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+ | ====== Mathematical Methods of Image and Pattern Analysis ====== | ||
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+ | **<color #ed1c24>Please ask any questions that might be of general interest in the [[https://moodle.uni-heidelberg.de/mod/forum/view.php?id=25764|feedback forum]] instead of by mail.</color>** | ||
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+ | **Please go to [[https://moodle.uni-heidelberg.de/course/view.php?id=1942|Moodle]] for further information and the teaching material.** | ||
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+ | * **Lectures:** [[:people|Prof. Christoph Schnörr]] | ||
+ | * **Exercises:** [[:people|Alexander Zeilmann]] | ||
+ | * **Format:** | ||
+ | * Extensive lecture notes that you read on your own. | ||
+ | * Short videos that explain each subtopic from a top-down viewpoint. This is not a replacement for reading the lecture notes. | ||
+ | * Exercise sheets you work on your own and compare with our solution videos | ||
+ | * Mulitple Choice tests | ||
+ | * A [[https://moodle.uni-heidelberg.de/mod/forum/view.php?id=25764|feedback forum in Moodle]] where students can give feedback and ask questions. | ||
+ | * No meeting in HeiConf, etc. | ||
+ | * No in-person lecture | ||
+ | * **Language:** English | ||
+ | * **SWS:** 4 | ||
+ | * **ECTS:** 6 | ||
+ | * **Lecture Id:** MM35, Spezialisierungsmodul Numerik und Optimierung | ||
+ | * **Supplementary Practical:** For doing Programming Exercises in May, June and July you get two extra credits (this might depend on your field of study.) | ||
+ | * **Registration:** Please register in [[https://muesli.mathi.uni-heidelberg.de/lecture/view/1179|Müsli]] and [[https://moodle.uni-heidelberg.de/course/view.php?id=1942|Moodle]] (you do not need an enrollment key). | ||
+ | * **Feedback:** We have a [[https://moodle.uni-heidelberg.de/mod/forum/view.php?id=25764|feedback forum in Moodle]] for all questions related to the mathematical content and the organization of the course. | ||
+ | * **Prior Knowledge:** Required: Lineare Algebra and Analysis, Recommended: Convex and Nonlinear Optimization | ||
+ | * **Content:** Discrete and Continuous Fourier Transformations, FIR Filter, Reproducing Kernel Hilbert Spaces, Markov Random Fields, Gaussian Markov Random Fields, Exponential Family, Elementary Differential Geometry | ||
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