Hertha Sponer College Advanced Methods Course

Hertha Sponer College Advanced Methods Course (Internal Event)

HSC Advanced Methods Course “Statistical and Computational Data Science I”

This course is the first part of the HSC Course cycle “Statistical and Computational Data Science”. The goal is to provide a systematic introduction to statistical and computational data science with themes tailored to the needs of data analysis tasks arising in MBExC Cluster of Excellence for general (non-mathematician) audience. Topics will cover statistical paradoxes, graphical methods (including histograms, box plot, Q-Q plots, etc.), basic stat theory (e.g. multivariate normal distribution, Bayes theorem), clustering, regression and classification. The required basic knowledge will also be provided in the lecture. Further topics, such as hypothesis testing, ANOVA, clustering, time series, functional estimation and imaging, etc. will be provided in a follow-up lecture series.
The exercises will be offered on a weekly (or biweekly/monthly) basis.

Schedule: Lecture 2 SWS x 14 weeks; weekly exercises
Lectures: Wednesdays, 10.15 am – 11.45 am, start April 27th, 2022
April 27; May 4, 11, 18, 25; June 1, 8, 15, 22, 29; July 6, 13, 20, 27
Exercises: Information will be provided in due time

Supervisor: Housen Li, MBExC Application Specialist Comnputational Modeling and Advanced Data Analysis; Institute for Mathematical Stochastics, UGOE