040038 VO Econometrics and Statistics (MA) (2018S)
Labels
Für diese LV gibt es KEIN Moodle!
Achtung! Am Mi, 09.05.2018 entfällt die Vorlesung.
Achtung! Am Mi, 09.05.2018 entfällt die Vorlesung.
Details
Language: German
Examination dates
Wednesday
27.06.2018
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
26.09.2018
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday
26.11.2018
16:45 - 18:15
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
07.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
14.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
21.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
11.04.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
18.04.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
25.04.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
02.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
16.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
23.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
30.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
06.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
13.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
20.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
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.
and Datamining conceptsMore Details about the exam will be given during the course.
Reading list
Luis Torgo / "Data Mining with R Learning with Case Studies"
Course slides
Course slides
Association in the course directory
Last modified: Mo 07.09.2020 15:28
The case studies will cover areas such as. Customer Relationship Management
. 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