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45034-01 - Colloquium: Information Economics (3 CP)

Semester fall semester 2017
Course frequency Once only
Lecturers Anna Waldner (anna.waldner@unibas.ch, Assessor)
Content The course consists of three parts:
1) The theoretical part equips you with a deeper understanding of probability theory. Topics are: conditional probability and Bayes Theorem, discrete random variables, continuous random variables, conjugate analysis, etc.
2) Discuss a research article. Each student will discuss a research article (review the relevant literature, present the model and the results, explain the main trade-off, discuss the paper and name possible extensions).
3) Present the result for one model extension
Bibliography Kadane, J (2011): Principle of Uncertainty, CRC Press, Boca Raton, London, New York.
Comments Schedule
There will be three meetings. A doodle poll will be held to schedule the meetings.

 

Course application Please enrol in MOnA.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Modul Advanced Field Courses (Doctoral Studies - Faculty of Business and Economics)
Modul Fachlich-methodische Weiterbildung (Doctoral Studies - Faculty of Business and Economics)
Assessment format end-of-semester examination
Assessment details Your performance will be assessed based on:
• A problem set on the first topic
• Your presentation of the research article
• A research paper on your model extension
Assessment registration/deregistration Registration: course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration no repetition
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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