105.707 Advanced Methods for Regression and Classification
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018W, VU, 3.0h, 4.5EC
TUWEL

Properties

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

Aim of course

Theoretical concepts and practical application of flexible regression and classification methods. Application of all methods using the software package R.

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.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 11:0003.10.2018 - 30.01.2019FH Hörsaal 4 Vorlesung Filzmoser
Thu12:00 - 13:0004.10.2018 - 31.01.2019FH Hörsaal 6 - TPH Vorlesung Filzmoser
Advanced Methods for Regression and Classification - Single appointments
DayDateTimeLocationDescription
Wed03.10.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu04.10.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed10.10.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu11.10.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed17.10.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu18.10.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed24.10.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu25.10.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed31.10.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Wed07.11.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu08.11.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed14.11.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Wed21.11.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu22.11.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed28.11.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu29.11.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed05.12.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu06.12.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed12.12.201809:00 - 11:00FH Hörsaal 4 Vorlesung Filzmoser
Thu13.12.201812:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue13:00 - 16:0020.10.2020Sem.R. DA grün 06A oral23.09.2020 12:00 - 18.10.2020 12:00TISSOral Exam (slots will be extended if students are on the waiting list)

Course registration

Begin End Deregistration end
03.10.2018 12:00 15.11.2018 12:00 15.11.2018 12:00

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science 1. Semester

Literature

No lecture notes are available.

Miscellaneous

Language

English