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65936-01 - Seminar: Data Science and Computational Economics 6 CP

Semester fall semester 2024
Course frequency Every fall sem.
Lecturers Christian Kleiber (christian.kleiber@unibas.ch, Assessor)
Kurt Schmidheiny (kurt.schmidheiny@unibas.ch)
Content Participants may choose a topic from a list, to be distributed before the semester starts. There will be a range of topics from econometrics, regression, statistical computing, etc.
Learning objectives Participants will develop both writing and presentation skills.
Bibliography Will depend on the chosen topic. Details tba.

 

Admission requirements The following courses must have been taken:
1. 12036 - Econometrics
2. 18545 - Advanced Mathematics for Economics
3. 58989 - Computing for Business and Economics

Previous attendance of (some of) the following courses is recommended:
1. 41957 - Advanced Econometrics ¦ 1st semester
2. 58920 - Causal Inference for Policy Evaluation
3. 16036 - Microeconometrics and Statistical Learning
Course application The application for this seminar is done centrally and online from May 13 to June 10, 2024 with the Studiendekanat.
The link to the online application form and more information can be found here:https://wwz.unibas.ch/en/studies/master/masters-seminar/
The registration is binding. In case of non-participation after registration it will be noted as "nicht erschienen" in the transcript. For a break up after recieving a subject and title, there will be a "1.0" recorded. In addition, the priority of the wishes for future seminar applications is lost.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
unregelmässig See individual dates

Dates

Date Time Room
Tuesday 17.09.2024 16.15-18.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S16 HG.39
Friday 01.11.2024 14.15-18.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S16 HG.39
Friday 06.12.2024 14.15-18.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S16 HG.39
Modules Module: Preparation Master's Thesis in Finance and Money (Master's Studies: Finance and Money)
Module: Research Design in Business and Economics (Master's Studies: Business and Economics)
Module: Research Design in Data Science and Computational Economics (Master's Studies: Business and Economics)
Module: Statistics and Computational Science (Master's Studies: Actuarial Science)
Assessment format seminar credit
Assessment details Oral presentation + seminar paper. Details tba.
Assessment registration/deregistration Registration/deregistration: faculty
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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