This class is project-based. Together with a selected partner firm, students will identify topics and trends of stategic importance to his firm and analyze present them to its management.
Syllabus
Titel
0911 Kurs IV - Business Forecasting Project
LV-Leiter/innen
Ass.Prof. Dr. Otto Janschek, Dr. Markus Wabnegg
Kontakt
-
LV-Typ
PI -
Semesterstunden
2 -
Unterrichtssprache
Englisch
Anmeldung
23.09.2019 bis 23.09.2019
Anmeldung durch das Institut
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
| Wochentag | Datum | Uhrzeit | Raum |
|---|---|---|---|
| Dienstag | 12.11.2019 | 13:00 - 17:00 | D5.1.004 |
| Dienstag | 19.11.2019 | 13:00 - 17:00 | EA.5.044 |
| Dienstag | 26.11.2019 | 13:00 - 17:00 | D5.1.004 |
| Dienstag | 03.12.2019 | 13:00 - 17:00 | D5.1.004 |
| Dienstag | 10.12.2019 | 13:00 - 17:00 | D5.1.004 |
| Dienstag | 17.12.2019 | 13:00 - 17:00 | EA.5.044 |
| Dienstag | 07.01.2020 | 13:00 - 17:00 | D5.1.004 |
| Dienstag | 14.01.2020 | 13:00 - 17:00 | D5.1.004 |
Auf dieser Seite:
- Kontakt
- Inhalte der LV
- Lernergebnisse (Learning Outcomes)
- Regelung zur Anwesenheit
- Lehr-/Lerndesign
- Leistung(en) für eine Beurteilung
- Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen
- Empfohlene inhaltliche Vorkenntnisse
- Erreichbarkeit des/der Vortragenden
- Literatur
- Detailinformationen zu einzelnen Lehrveranstaltungseinheiten
After completing this class students will be able to:
- conduct systematic literature reviews
- critically read and make sense of research and popular scientific articles
- structure complex business problems
- design research projects
- implement research projects
Apart from that, completing this course will contribute to students' abilities to:
- be an effective, hard- and soft-skilled team member
- work effectively in a team-based structure
- give presentations on complex topics
Attendance: In order to successfully pass this course, your absence is limited to 20% of our appointments.
- Coachings
- Group discussions
- Group assignments
- Individual assigments
The course uses a problem based learning approach. This implies that students will need to develop solutions to complex questions on an individual and/or group level. To support this process, a mix of instruments will be used: Input lectures will provide basic concepts for the next steps, coaching sessions will provide early feedback and presentations and reports will demonstrate the ability of students to successfully structure problems and provide meaningful answers. Practitioner input will give students guidance and feedback on their progress.
The course grading system is based on:
- kick-off presentations, incl. peer review 20%
- mid-term and final presentations, incl. components of grading carried out by partnering company 60%
- Participation 20%
|
| 1 |
Autor/in: see Business Analysis course Prüfungsstoff: Ja Diplomprüfungsstoff: Nein Empfehlung: Unbedingt notwendige Studienliteratur für alle Studierenden Art: Buch |
SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs
Apart from financial analysis knowhow (Grundkurs SBWL, Business Analysis Project) your performance and level of effort will depend on your Word, Excel and Powerpoint skills. For those who have not used these tools intensively we recommend to get (re)acquainted with these programs before the start of the course. We'll provide basic templates for Word and Powerpoint, but not for Excel. VBA programming is not required, but may be helpful.
Specifically, we recommend a look at the following issues:
Microsoft Word: consistent formatting of documents
Microsoft Excel: separation of data and models, absolute and relative cell references, standardizing workbook formats, customized cell formats, conditional formatting, linking worksheets, resolving circular references
Microsoft Powerpoint: basic forms of presenting information, shapes provided with powerpoint, elements of PPT templates.
Zuletzt bearbeitet: 08.04.2019
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