Digicampus
Vorlesung + Übung: Cases in Business Analytics - Details
Sie sind nicht in Stud.IP angemeldet.
Lehrveranstaltung wird nicht abgehalten.

Allgemeine Informationen

Veranstaltungsname Vorlesung + Übung: Cases in Business Analytics
Untertitel Business Analytics in Service Operations Management
Semester SS 2020
Aktuelle Anzahl der Teilnehmenden 1
erwartete Teilnehmendenanzahl 15
Heimat-Einrichtung Prof. Dr. Jens Brunner - Health Care Operations / Health Information Management
beteiligte Einrichtungen Wirtschaftswissenschaftliche Fakultät
Veranstaltungstyp Vorlesung + Übung in der Kategorie Lehre
Teilnehmende The exercises during the seminar should be processed in groups of 3 students.
Voraussetzungen Basic knowledge in mathematics and statistics is required.
Lernorganisation All course topics are introduced in class by a lecture and tutorials. Students solve assignment-sheets in groups of three and can get assistance by a tutor during the week.
Leistungsnachweis Course assessment consists of the following parts:
• Results of assignment-sheets (as group)
• Presentation (individually)
• In-class participation (individually)

Since every course is part of the course assignment, it's necessary to be present in each of the six lecture-dates !
Online/Digitale Veranstaltung Veranstaltung wird nicht abgehalten.
Hauptunterrichtssprache englisch
Sonstiges *** This course does not take place. For more Information, please take a look on our homepage https://www.unika-t.de/brunner ***

The course is limited to 15 students. Therefore an application is necessary. Please register for the course on the following website: https://wiki.unika-t.de/Students+Application with your "rz-Kennung" until Friday April 3 2020. The application will start on Monday March 9 2020. We will inform you whether or not you can attend the course until Thursday April 9 2020.

Räume und Zeiten

FW CIP 2114

Kommentar/Beschreibung

In this course the students learn to use Excel as a tool for Business Analytics. At the end of the module, the students are able to use Excel effectively to analyze, optimize, and simulate service processes. Furthermore, the students are able to present their findings in class. Finally, they are able to make sound decisions. The course deals with the following topics:

• Advanced Excel Formulas
• Pivot Tables
• Optimization with the Excel Solver
• PowerQuery as Database tool
• Monte Carlo Simulation
• Macro Recording & VBA

Anmelderegeln

Diese Veranstaltung gehört zum Anmeldeset "Zeitgesteuerte Anmeldung: Cases in Business Analytics".
The course is limited to 15 students. Therefore an application is necessary. Please register for the course on the following website: https://wiki.unika-t.de/Students+Application with your "rz-Kennung" until Friday April 3 2020. The application will start on Monday March 9 2020. We will inform you whether or not you can attend the course until Thursday April 9 2020.
Folgende Regeln gelten für die Anmeldung:
  • Die Anmeldung ist möglich von 09.03.2020, 00:00 bis 03.04.2020, 23:59.

Anmeldemodus

Die Auswahl der Teilnehmenden wird nach der Eintragung manuell vorgenommen.

The course is limited to 15 students. Therefore an application is necessary. Please register for the course on the following website: https://wiki.unika-t.de/Students+Application with your "rz-Kennung" until Friday April 3 2020. The application will start on Monday March 9 2020. We will inform you whether or not you can attend the course until Thursday April 9 2020.