Module Number BIOINF-4510 (bisher: BIO-4510) |
Module Title Applied Statistics for Biomedical Data Analysis |
Lecture Type(s) Seminar |
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ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | Irregular | |
Language of instruction | English | |
Type of Exam | Presentation (about 30 minutes) and written elaboration (approx. 10 pages), leading the discussion once |
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Content | In this seminar, current topics of applied statistics for bioinformatics data analysis will be discussed. Furthermore, we will also discuss classical concepts of stochastics/statistics and discrete mathematics. These will include, among others, the following: introduction to randomness, elementary and advanced combinatorics, random variables, discrete probability distributions and where they come from, conditional probabilities, Bayes? Theorem, continuous probability distributions, posterior distributions, descriptive statistics, moments of random variables (expectation, variance, ?), parametric models, statistical testing (frequentist view), statistical testing (Bayesian view), parameter estimation: maximum likelihood, parameter estimation in mixture models: EM algorithm, regression (simple linear, logistic, robust, multiple), robust regression, multiple regression, logistic regression. All concepts will be discussed in close relation to to current research in biomedice. |
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Objectives | The students can independently work with supervision on a challenging topic. |
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Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
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Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Nahnsen | |
Literature | Bücher und Forschungsartikel / Books and research articles |
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Last offered | unknown | |
Planned for | Sommersemester 2023 | |
Assigned Study Areas | BIO-BIO, BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS |