401-0613-00L  Probability and Statistics

SemesterAutumn Semester 2016
LecturersJ. Teichmann
Periodicityyearly recurring course
Language of instructionGerman



Courses

NumberTitleHoursLecturers
401-0613-00 VWahrscheinlichkeit und Statistik
Wird im HS 2016 letztmals angeboten. Der neue Kurs über Wahrscheinlichkeit und Statistik im Umfang von 2V+2U findet erstmals im FS 2018 statt.
3 hrs
Wed08:15-10:00ETF C 1 »
Fri10:15-11:00ETF C 1 »
J. Teichmann
401-0613-00 UWahrscheinlichkeit und Statistik
Beginn 2. Semesterwoche.
Mo 10-12 (Ausweichtermin), Mo 13-15 oder Di 13-15 gemäss Gruppeneinteilung.

Diese LV wird im HS 2016 letztmals angeboten. Der neue Kurs über Wahrscheinlichkeit und Statistik im Umfang von 2V+2U findet erstmals im FS 2018 statt.
2 hrs
Mon10:15-12:00CAB G 57 »
13:15-15:00CHN C 14 »
13:15-15:00LFW B 1 »
13:15-15:00LFW E 11 »
13:15-15:00ML F 40 »
Tue13:15-15:00CAB G 59 »
13:15-15:00CHN G 22 »
13:15-15:00HG E 21 »
13:15-15:00LFW C 1 »
13:15-15:00ML J 37.1 »
J. Teichmann

Catalogue data

AbstractBasic concepts from probability and statistics:
- introduction to probability theory
- short introduction to basic concepts and methods from statistics
Objectivea) ability to understand the covered methods from probability theory and to apply them in other contexts

b) probabilistic thinking and stochastic modelling

c) ability to perform basic statistical tests and to interpret the results
ContentBasic concepts from probability and statistics with special emphasis on the topics needed in computer science

The conceptual goals are

- the laws of randomness and probabilistic thinking (thinking in probabilities)
- understanding and intuition for stochastic modelling
- simple and basic methods from statistics

The contents of the course encompasses

- an introduction to probability theory: basic concepts (probability space, probability measure), independence, random variables, discrete and continuous distributions, conditional probability, expectation and variance, limit theorems

- methods from statistics: parameter estimation, maximum likelihood and moment methods, tests, confidence intervals
Lecture notesLecture notes for the course (in German) will be made available electronically at the beginning of the course.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersJ. Teichmann
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 Seiten A4 Zusammenfassung der Vorlesung, keine Taschenrechner.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
Main linkMaterial zur Vorlesung
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Computer Science BachelorCompulsory Courses (3. Sem.)OInformation
Neural Systems and Computation MasterElectivesWInformation