From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers via e-mail.
This class covers the following concepts: random variables, probability, discrete and continuous distributions, joint and conditional probabilities and distributions, the law of large numbers, the central limit theorem, descriptive statistics, statistical inference, inference for normally distributed data, point estimation, and two-sample tests.
Objective
Knowledge of the basic principles of probability and statistics.
Content
Introduction to probability theory, some basic principles from mathematical statistics and basic methods for applied statistics.
Lecture notes
Lecture notes
Literature
Lecture notes
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
In examination block for
Bachelor's Programme in Computational Science and Engineering 2012; Version 13.12.2016 (Examination Block G2) Bachelor's Programme in Computational Science and Engineering 2016; Version 27.03.2018 (Examination Block G2) Bachelor's Programme in Materials Science 2015; Version 22.08.2017 (Examination Block 2) Bachelor's Programme in Materials Science 2017 (Examination Block 2)
The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination
written 120 minutes
Written aids
10 hand- oder maschinengeschriebene A4-Seiten, Taschenrechner ohne Kommunikationsmöglichkeiten. Neutrales (nicht fachspezifisches) Deutsch-Englisch Wörterbuch.
If the course unit is part of an examination block, the credits are allocated for the successful completion of the whole block. This information can be updated until the beginning of the semester; information on the examination timetable is binding.
Performance assessment as a semester course