Berlin | Additional Topics | Block course |
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Mathematics Prep-CourseThis course is intended as a refreshment of mathematical tools of analysis, linear algebra and statistics which will be necessary for the CNS students in the first year. Students will acquire broadmathematical knowledge of functions in one resp. several real variables, in linear algebra, in differential equations, in probability theory and statistics, as needed for Computational Neuroscience. Basic mathematical skills for the analysis and approximation of functions, solutions of differential equations and signals, for solving linear systems and systems of ordinary differential equations will be refreshed. |
Type of the course |
Lecture, block |
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Target audience | MSc | |
Prerequisites |
Maths: 3 semesters |
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Institution(s) |
BCCN Berlin |
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Lecturer(s) | Schwalger | |
Time / ETCS | Winter, semester break, 2 weeks / 4 ECTS | |
Additional info |
Two-week course before new MSc students start their first term (Sep-Oct) |
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Weblink | Visit the course website |