107.386 Classification and Discriminant Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VU, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to

  • explain and formulate the theoretical concepts of important dimension reduction techniques and methods for linear and nonlinear regression and classification
  • identify the strengths and weaknesses of the different statistical methods and tools and to use them in practice

Subject of course

During the past decade there has been an explosion in computation and information technology. With it has come vast amount of data in a variety of fields such as medicine, finance and marketing. The challange to understand these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning and bioinformatics. This lecture describes the important ideas in these areas in a common conceptual framework. The many topics include neural networks, support vector machines, classification trees and generalized additive models.

Teaching methods

Examples with data, software environment R

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 10:3006.10.2021 - 26.01.2022 Zoom link in TUWEL (LIVE)Vorlesung
Thu12:00 - 13:0007.10.2021 - 27.01.2022 Zoom link in TUWEL (LIVE)Übung
Classification and Discriminant Analysis - Single appointments
DayDateTimeLocationDescription
Wed06.10.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu07.10.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed13.10.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu14.10.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed20.10.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu21.10.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed27.10.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu28.10.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed03.11.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu04.11.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed10.11.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu11.11.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed17.11.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu18.11.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed24.11.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu25.11.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed01.12.202109:00 - 10:30 Zoom link in TUWELVorlesung
Thu02.12.202112:00 - 13:00 Zoom link in TUWELÜbung
Thu09.12.202112:00 - 13:00 Zoom link in TUWELÜbung
Wed15.12.202109:00 - 10:30 Zoom link in TUWELVorlesung

Examination modalities

Solving examples in R, oral exam

Course registration

Begin End Deregistration end
13.09.2021 12:00 10.10.2021 12:00 10.10.2021 12:00

Curricula

Literature

Lecture notes for this course are available from the lecturer.

Miscellaneous

  • Attendance Required!

Language

German