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.

2019W, VU, 3.0h, 4.5EC
TUWEL

Properties

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

Learning outcomes

After successful completion of the course, students are able to

  • explain and formulate 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.

Teaching methods

Examples with data, software environment R

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu12:00 - 13:0003.10.2019 - 30.01.2020FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed09:00 - 11:0009.10.2019 - 29.01.2020EI 5 Hochenegg HS Vorlesung Filzmoser
Thu12:00 - 13:0031.10.2019FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Advanced Methods for Regression and Classification - Single appointments
DayDateTimeLocationDescription
Thu03.10.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed09.10.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu10.10.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed16.10.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu17.10.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed23.10.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu24.10.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed30.10.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu31.10.201912:00 - 13:00FH 8 Nöbauer HS - MATH Vorlesung Filzmoser
Wed06.11.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu07.11.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed13.11.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu14.11.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed20.11.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu21.11.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed27.11.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu28.11.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed04.12.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser
Thu05.12.201912:00 - 13:00FH Hörsaal 6 - TPH Vorlesung Filzmoser
Wed11.12.201909:00 - 11:00EI 5 Hochenegg HS Vorlesung Filzmoser

Examination modalities

Solving examples in R, oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon09:00 - 13:0001.02.2021 Exam will be held via Zoom (a link will be sent 1 day before the exam)oral12.01.2021 12:00 - 30.01.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)
Wed09:00 - 13:0003.02.2021 Exam will be held via Zoom (a link will be sent 1 day before the exam)oral16.12.2020 12:00 - 01.02.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)
Mon09:00 - 13:0008.02.2021 Exam will be held via Zoom (a link will be sent 1 day before the exam)oral12.01.2021 12:00 - 06.02.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)
Wed09:00 - 13:0010.02.2021 Exam will be held via Zoom (a link will be sent 1 day before the exam)oral12.01.2021 12:00 - 08.02.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)
Thu09:00 - 13:0025.02.2021 Exam will be held via Zoom ( a link will be sent 1 day before the exam)oral14.01.2021 12:00 - 23.02.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)

Course registration

Begin End Deregistration end
02.10.2019 09:00 14.11.2019 12:00 14.11.2019 12:00

Curricula

Literature

No lecture notes are available.

Miscellaneous

Language

English