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.

2020W, VU, 3.0h, 4.5EC
TUWEL

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 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 - 13:0001.10.2020 - 28.01.2021 Zoom link in TUWEL (LIVE)Exercise
Wed09:00 - 10:3007.10.2020 - 27.01.2021 Zoom link in TUWEL (LIVE)Lecture
Advanced Methods for Regression and Classification - Single appointments
DayDateTimeLocationDescription
Thu01.10.202012:00 - 13:00 Zoom link in TUWELExercise
Wed07.10.202009:00 - 10:30 Zoom link in TUWELLecture
Thu08.10.202012:00 - 13:00 Zoom link in TUWELExercise
Wed14.10.202009:00 - 10:30 Zoom link in TUWELLecture
Thu15.10.202012:00 - 13:00 Zoom link in TUWELExercise
Wed21.10.202009:00 - 10:30 Zoom link in TUWELLecture
Thu22.10.202012:00 - 13:00 Zoom link in TUWELExercise
Wed28.10.202009:00 - 10:30 Zoom link in TUWELLecture
Thu29.10.202012:00 - 13:00 Zoom link in TUWELExercise
Wed04.11.202009:00 - 10:30 Zoom link in TUWELLecture
Thu05.11.202012:00 - 13:00 Zoom link in TUWELExercise
Wed11.11.202009:00 - 10:30 Zoom link in TUWELLecture
Thu12.11.202012:00 - 13:00 Zoom link in TUWELExercise
Wed18.11.202009:00 - 10:30 Zoom link in TUWELLecture
Thu19.11.202012:00 - 13:00 Zoom link in TUWELExercise
Wed25.11.202009:00 - 10:30 Zoom link in TUWELLecture
Thu26.11.202012:00 - 13:00 Zoom link in TUWELExercise
Wed02.12.202009:00 - 10:30 Zoom link in TUWELLecture
Thu03.12.202012:00 - 13:00 Zoom link in TUWELExercise
Wed09.12.202009:00 - 10:30 Zoom link in TUWELLecture

Examination modalities

Solving examples in R, oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon09:00 - 12:0018.10.2021 Exam will be held via Zoom ( a link will be sent 1 day before the exam)written&oral15.09.2021 12:00 - 16.10.2021 12:00TISSOral Exam via Zoom (slots will be extended if students are on the waiting list)

Course registration

Begin End Deregistration end
14.09.2020 09:00 11.10.2020 12:00 11.10.2020 12:00

Curricula

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English