040242 VO Econometrics and Statistics (MA) (2018W)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
Monday
28.01.2019
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
27.02.2019
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday
06.05.2019
16:45 - 18:15
Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Lecturers
Classes (iCal) - next class is marked with N
Vorlesung entfällt am 31.10.2018
Wednesday
03.10.
16:45 - 18:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
10.10.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
17.10.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
24.10.
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
31.10.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
07.11.
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
14.11.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
21.11.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
28.11.
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
05.12.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
12.12.
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
09.01.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
16.01.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
23.01.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Final test at the end of the course, Written Exam
Minimum requirements and assessment criteria
To pass this course you have to attain min 50% of the total points.
Examination topics
Analyze a given Problem and sketch a solution with Datamining methodsUnderstand (= be able to read and Interpret) statistical model equations
and Datamining conceptsMore Details about the exam will be given during the course.
Analyze a given Problem and sketch a solution with Datamining methodsUnderstand (= be able to read and Interpret) statistical model equations
and Datamining conceptsMore Details about the exam will be given during the course.
and Datamining conceptsMore Details about the exam will be given during the course.
Analyze a given Problem and sketch a solution with Datamining methodsUnderstand (= be able to read and Interpret) statistical model equations
and Datamining conceptsMore Details about the exam will be given during the course.
Reading list
Werner Brannath, Andreas Futschik, Statistik für WirtschaftswissenschaftlerLuis Torgo / "Data Mining with R Learning with Case Studies"More literature will be announced during the courseSlides of the course, will be posted on Home page
Association in the course directory
Last modified: Mo 07.09.2020 15:29
. Fraud Detection
. Revenue Management
. Market ResearchThe presented concepts of data-naming and big data will include i.a.. Sampling
. Supervised und unsupervised learning
. Multiple Regression,
. Logistic Regression
. Statistical Analysis of Frequency Data
. Analysis of variance
. Time series analysis