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.

401-0603-00L  Stochastics (Probability and Statistics)

SemesterAutumn Semester 2019
LecturersC. Czichowsky
Periodicityyearly recurring course
Language of instructionGerman



Catalogue data

AbstractThis 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.
ObjectiveKnowledge of the basic principles of probability and statistics.
ContentIntroduction to probability theory, some basic principles from mathematical statistics and basic methods for applied statistics.
Lecture notesLecture notes
LiteratureLecture notes

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
In examination block forBachelor'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)
ECTS credits4 credits
ExaminersC. Czichowsky
Typesession examination
Language of examinationGerman
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 120 minutes
Written aids10 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.

Learning materials

 
Main linkInformation
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
401-0603-00 VStochastik2 hrs
Mon15-17HG E 7 »
C. Czichowsky
401-0603-00 UStochastik
Groups are selected in myStudies.
Mo 17-18 oder Di 12-13 gemäss Gruppeneinteilung (für Studiengang Materialwissenschaft geht nur Mo 17-18)
1 hrs
Mon17-18HG E 21 »
17-18HG E 33.1 »
17-18HG E 33.5 »
17-18HG G 26.5 »
17-18ML F 40 »
17-18ML J 34.1 »
Tue12-13HG E 21 »
12-13HG E 33.1 »
12-13HG F 26.5 »
12-13HG G 26.3 »
12-13ML F 36 »
C. Czichowsky

Groups

401-0603-00 UStochastik
GroupsG-01
Mon17-18HG E 21 »
G-02
Mon17-18HG E 33.1 »
G-03
Mon17-18HG E 33.5 »
G-04
Mon17-18HG G 26.5 »
G-05
Mon17-18ML F 40 »
G-06
Mon17-18ML J 34.1 »
G-07
Tue12-13HG E 21 »
not for  Materials Science BSc (327000)
G-08
Tue12-13HG E 33.1 »
not for  Materials Science BSc (327000)
G-09
Tue12-13HG F 26.5 »
not for  Materials Science BSc (327000)
G-10
Tue12-13HG G 26.3 »
not for  Materials Science BSc (327000)
G-11
Tue12-13ML F 36 »
not for  Materials Science BSc (327000)

Restrictions

GroupsRestrictions are listed under Groups

Offered in

ProgrammeSectionType
Mechanical Engineering BachelorElectivesWInformation
Materials Science BachelorExamination Block 2OInformation
Neural Systems and Computation MasterElectivesWInformation
Computational Science and Engineering BachelorBlock G2 (Programme Regulations 2012 and 2016)OInformation