Economics and Management (BiGSEM) / Promotion

Vorlesungsverzeichnis für das WiSe 2023/2024

Alle Überschriften schließen Alle Überschriften öffnen

Economics

Prerequisites

Belegnr Lehrende/r Thema Art Termine Mein eKVV
312207 Karos Microeconomics 1a (Preferences, Decision and Demand) and 1b (General Equilibrium) V Mo 8-10 in V10-122; Do 8-10 in V10-122
312503 Adam Generalisierte Lineare Modelle V Mi 16-18 in H10
319014 Clemens Macroeconomics 1a V Mi 10-12 in Raum wie 319012; Di 10-12 in Raum wie 319012
319017 Makarewicz Macroeconomics 1b V Di 10-12 in Raum wie 319012; Mi 12-14 in Raum wie 319012; Mi 16-18, einmalig in U4-120; Mi 16-18, einmalig in U4-120
319414 Schamberger Introduction to Structural Equation Modeling V Di 16-18 in H2; Di 16-18 in W9-109

Field Courses

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311537 Karos Micro 3: Repeated Games with Incomplete Information V Mo 10-12 in V10-122
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
311730 Karos Seminar zu Social Choice S Do 10-12 in V10-122
311920 Willmann European Integration V Mi 10-12 in T2-214
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312833 Clemens Masterseminar S N. N., N. N. Einzeltermine, werden noch bekanntgegeben
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
312900 Ferrari Master- und Doktorandenseminar
First meeting will be communicated in due time.
S N. N., N. N.
312901 Riedel, Nendel Master- und Doktorandenseminar S Di 14-16 in V10-122
312908 Schmeck Master- und Doktorandenseminar
Begrenzte Teilnahmezahl: 10
S Mo 14-16 in V10-122
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211

Colloquia & Research Seminars

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311560 Ferrari, Riedel, Schmeck, Nendel Mathematical Finance Seminar
Further information can be found here: https://www.uni-bielefeld.de/zwe/imw/research/seminars/math-finance-seminar/
S Mi 14-16, einmalig in V10-122; Mi 14-16, einmalig in V10-122
311566 Ferrari, Schmeck CUDE Cluster Group C: Reading Group on "Green Transition: Dynamic Models under Uncertainty"
Further information can be found here: https://www.uni-bielefeld.de/zwe/imw/research/seminars/math-finance-seminar/ The date of the first meeting wil be communicated in due time.
S Fr 10-12 in V2-135
312900 Ferrari Master- und Doktorandenseminar
First meeting will be communicated in due time.
S N. N., N. N.
312901 Riedel, Nendel Master- und Doktorandenseminar S Di 14-16 in V10-122
312905 Dawid BiGSEM-CUDE Kolloquium (Economics and Finance) Ko Di 16-18 in siehe Economics Seminar
312908 Schmeck Master- und Doktorandenseminar
Begrenzte Teilnahmezahl: 10
S Mo 14-16 in V10-122
312960 Karos Master- und Doktorand*innenseminar S Mo 12-14 in V10-122
317303 Breitmoser, Clemens, Dawid, Ferrari, Greiner, Karos, Riedel, Willmann, Zaharieva Economics Seminar Ko Di 16-18 in H9 einmalig am 14.11.2023 in X-e0-001; Di 18-20 in H9 einmalig am 14.11.2023 in X-E0-001; Di 16-18, einmalig in X-E0-001 einmalig am 14.11.2023 in X-e0-001; Di 18-20, einmalig in X-E0-001 einmalig am 14.11.2023 in X-E0-001

Electives

A general list of possibilities for obtaining elective credits is given here.

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311523 Riedel CUDE Cluster Group A: Reading Group on Individual and Strategic Behavior under Uncertainty in Dynamic Environments
In the reading group, advanced master students and dotoral students discuss latest research in economic theory.
S Fr 10-12 in V10-151
311523 Riedel CUDE Cluster Group A: Reading Group on Individual and Strategic Behavior under Uncertainty in Dynamic Environments
In the reading group, advanced master students and doctoral students discuss latest research in economic theory.
Ü    
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
311906 Greiner, Owusu Praktische Übung zur Wirtschaftspolitik Ü N. N., N. N. Einzeltermine, werden noch bekanntgegeben.
311928 Willmann Reading Course "Trade" Ü Do 12-14 in V2-135
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312006 Wen Übung zu Differential Games in Economics and Management Science Ü Mi 12-14 in U2-147
312013 Kohlweyer Praktische Übung Industriedynamik: Künstliche Intelligenz und Wettbewerb Ü N. N., N. N. wöchentlich nach der Weihnachtspause; Fr 14-16, einmalig in T2-228; Fr 14-16, einmalig in T2-228
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312212 Zaharieva, Afonina Übung zur Arbeitsmarktökonomik Ü Mo 16-18, 14-täglich in T2-226; Mo 16-18, einmalig in T2-226; Mo 16-18, einmalig in T2-226
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312242 Kohlweyer Tutorial Bounded Rationality: From Experiments to Complexity Ü N. N., N. N.
312503 Adam Generalisierte Lineare Modelle V Mi 16-18 in H10
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
312852 Hinz Masterseminar: Economics of Disintegration: Sanctions, trade wars and political tensions S Mi 10-12, einmalig in W8-107 Präsentationen; Mi 10-12, einmalig in W8-107 Präsentationen
312913 Clemens Doktorandenkolloquium Ko N. N., N. N. Einzeltermine, werden noch bekanntgegeben
312952 Gulenko Introduction to Natural Language Processing with Python
Prerequisites and application The course is intended for beginners without prior Python knowledge. However, to ensure a level playing field, you are required to solve one basic task prior to the course, following five steps: 1. Install Python and Jupyter Notebook on your computer. I suggest using Mini Conda, as it requires less disk space. There ample step-by-step online tutorials that show you how to do it. 2. Import some basic Python libraries: Pandas, Numpy and Matplotlib. You may need to import more later on. 3. Import a data file of your choice (e.g., csv or excel) using the Pandas library. 4. Create a visualisation of your choice using the Matplotlib library. The title of the plot should include the name of this course ("NLP for beginners"). 5. Save your solution as a notebook (.ipynb) and submit it via email until November 19, 2023 (12 p.m.).
Begrenzte Teilnahmezahl: 20
S Mo 10-12, einmalig in X-E0-209; Fr 10-12, einmalig in X-E0-228; Mo 10-12, einmalig in VHF.01.211; Fr 10-12, einmalig in X-E0-226; Mo 10-12, einmalig in X-E0-204; Fr 10-12, einmalig in U2-210
312960 Karos Master- und Doktorand*innenseminar S Mo 12-14 in V10-122
312988 Dawid, Wen CUDE Cluster Group B. Reading Group on dynamic strategic investment under uncertainty Ko Mo 16-18 in W8-107
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
314080 Afonina Praktische Übung "Efficient Data Management in Stata"
This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses. Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.
S Di 14-16 in U4-120
317101 Greiner Promotions-/Doktorandenkolloquium Ko N. N., N. N. Einzeltermine, werden noch bekanntgegeben.
317307 Riedel, Preker Economic Theory Lunch Seminar Ko Fr 12-14 in V10-122
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211
319019 Schäfer Tutorium Macroeconomics 1a + 1b Ü Mi 16-18 in T2-204
319400 Dawid, Stummer, Langrock Research Activity I K  
319401 Dawid, Stummer, Langrock Research Activity II K  
319402 Dawid, Stummer, Langrock Training Activity I K  
319403 Dawid, Stummer, Langrock Training Activity II K  
319412 Dawid, Stummer, Langrock Soft Skills Seminar S  
319414 Schamberger Introduction to Structural Equation Modeling V Di 16-18 in H2; Di 16-18 in W9-109
319415 Römer Sequential Decision Analytics S N. N., N. N.

Work on Thesis

Belegnr Lehrende/r Thema Art Termine Mein eKVV
319404 Dawid Work on Thesis (Economics + Finance) K  

Weitere Veranstaltungen für das Profil Economics

Belegnr Lehrende/r Thema Art Termine Mein eKVV
312202 Greiner Optimal Taxation V Mi 18:00-19:30 in U2-205
312205 Preker, Karos Tutorial zu Microeconomics 1a (Preferences, Decision and Demand) und 1b (General Economic Theory) Tut Mi 14-16 in X-E0-211; Do 16-18, einmalig in T2-149

Data Science

Prerequisites

Belegnr Lehrende/r Thema Art Termine Mein eKVV
312503 Adam Generalisierte Lineare Modelle V Mi 16-18 in H10
319414 Schamberger Introduction to Structural Equation Modeling V Di 16-18 in H2; Di 16-18 in W9-109

Field Courses

Belegnr Lehrende/r Thema Art Termine Mein eKVV
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207

Colloquia & Research Seminars

Belegnr Lehrende/r Thema Art Termine Mein eKVV
316001 Bauer, Fuchs, Langrock Research in Statistical Science Ko Di 12-13, 14-täglich in W9-109
319988 Langrock, Westerheide Young Researchers’ Workshop
Im Rahmen des Nachwuchsworkshops stellen sich Doktorandinnen und Doktoranden der am Zentrum für Statistik beteiligten Bereiche gegenseitig ihre Forschungsfelder vor und diskutieren darüber. Weitere Informationen zum Programm: https://www.uni-bielefeld.de/einrichtungen/zest/veranstaltungen/workshop13.xml
WS Fr 8-16, einmalig in H8

Electives

A general list of possibilities for obtaining elective credits is given here.

Belegnr Lehrende/r Thema Art Termine Mein eKVV
312503 Adam Generalisierte Lineare Modelle V Mi 16-18 in H10
312521 Koslik Übung zu "Generalisierte Lineare Modelle" Ü Do 16-18 in D2-136
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
319400 Dawid, Stummer, Langrock Research Activity I K  
319401 Dawid, Stummer, Langrock Research Activity II K  
319402 Dawid, Stummer, Langrock Training Activity I K  
319403 Dawid, Stummer, Langrock Training Activity II K  
319412 Dawid, Stummer, Langrock Soft Skills Seminar S  
319414 Schamberger Introduction to Structural Equation Modeling V Di 16-18 in H2; Di 16-18 in W9-109

Work on Thesis

Belegnr Lehrende/r Thema Art Termine Mein eKVV
319406 Langrock Work on Thesis (Data Science) K  

Management

Field Courses

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211

Colloquia & Research Seminars

Belegnr Lehrende/r Thema Art Termine Mein eKVV
312935 Backs, Bormann, Decker, Jahnke, Limbach, Römer, Stummer, Tierney BiGSEM Colloquium Ko Mi 14-16, einmalig in U3-140; Mi 14:00-15:30, einmalig in U3-140; Mi 14-16, einmalig in U3-140; Mi 14-16, einmalig in U3-140
312937 Limbach, Stummer BiGSEM Research Seminar
Die Veranstaltung ist nur für Doktorand*innen geöffnet.
S Mi 15:30-17:00, einmalig in U3-140; Di 14-16, einmalig in U3-140; Mi 14-16, einmalig in U3-140

Electives

A general list of possibilities for obtaining elective credits is given here.

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311523 Riedel CUDE Cluster Group A: Reading Group on Individual and Strategic Behavior under Uncertainty in Dynamic Environments
In the reading group, advanced master students and dotoral students discuss latest research in economic theory.
S Fr 10-12 in V10-151
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
311928 Willmann Reading Course "Trade" Ü Do 12-14 in V2-135
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312006 Wen Übung zu Differential Games in Economics and Management Science Ü Mi 12-14 in U2-147
312013 Kohlweyer Praktische Übung Industriedynamik: Künstliche Intelligenz und Wettbewerb Ü N. N., N. N. wöchentlich nach der Weihnachtspause; Fr 14-16, einmalig in T2-228; Fr 14-16, einmalig in T2-228
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312212 Zaharieva, Afonina Übung zur Arbeitsmarktökonomik Ü Mo 16-18, 14-täglich in T2-226; Mo 16-18, einmalig in T2-226; Mo 16-18, einmalig in T2-226
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312242 Kohlweyer Tutorial Bounded Rationality: From Experiments to Complexity Ü N. N., N. N.
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
312952 Gulenko Introduction to Natural Language Processing with Python
Prerequisites and application The course is intended for beginners without prior Python knowledge. However, to ensure a level playing field, you are required to solve one basic task prior to the course, following five steps: 1. Install Python and Jupyter Notebook on your computer. I suggest using Mini Conda, as it requires less disk space. There ample step-by-step online tutorials that show you how to do it. 2. Import some basic Python libraries: Pandas, Numpy and Matplotlib. You may need to import more later on. 3. Import a data file of your choice (e.g., csv or excel) using the Pandas library. 4. Create a visualisation of your choice using the Matplotlib library. The title of the plot should include the name of this course ("NLP for beginners"). 5. Save your solution as a notebook (.ipynb) and submit it via email until November 19, 2023 (12 p.m.).
Begrenzte Teilnahmezahl: 20
S Mo 10-12, einmalig in X-E0-209; Fr 10-12, einmalig in X-E0-228; Mo 10-12, einmalig in VHF.01.211; Fr 10-12, einmalig in X-E0-226; Mo 10-12, einmalig in X-E0-204; Fr 10-12, einmalig in U2-210
312988 Dawid, Wen CUDE Cluster Group B. Reading Group on dynamic strategic investment under uncertainty Ko Mo 16-18 in W8-107
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
314080 Afonina Praktische Übung "Efficient Data Management in Stata"
This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses. Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.
S Di 14-16 in U4-120
317307 Riedel, Preker Economic Theory Lunch Seminar Ko Fr 12-14 in V10-122
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211
319400 Dawid, Stummer, Langrock Research Activity I K  
319401 Dawid, Stummer, Langrock Research Activity II K  
319402 Dawid, Stummer, Langrock Training Activity I K  
319403 Dawid, Stummer, Langrock Training Activity II K  
319412 Dawid, Stummer, Langrock Soft Skills Seminar S  
319415 Römer Sequential Decision Analytics S N. N., N. N.

Work on Thesis

Belegnr Lehrende/r Thema Art Termine Mein eKVV
319405 Stummer Work on Thesis (Management) K  

Finance

Field Courses

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
311730 Karos Seminar zu Social Choice S Do 10-12 in V10-122
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312842 Schmeck Seminar on Topics in Finance and Insurance
Begrenzte Teilnahmezahl: 10
S n. V., n. V. Nach Absprache mit den Studierenden.
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211

Colloquia & Research Seminars

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311560 Ferrari, Riedel, Schmeck, Nendel Mathematical Finance Seminar
Further information can be found here: https://www.uni-bielefeld.de/zwe/imw/research/seminars/math-finance-seminar/
S Mi 14-16, einmalig in V10-122; Mi 14-16, einmalig in V10-122
311566 Ferrari, Schmeck CUDE Cluster Group C: Reading Group on "Green Transition: Dynamic Models under Uncertainty"
Further information can be found here: https://www.uni-bielefeld.de/zwe/imw/research/seminars/math-finance-seminar/ The date of the first meeting wil be communicated in due time.
S Fr 10-12 in V2-135
312905 Dawid BiGSEM-CUDE Kolloquium (Economics and Finance) Ko Di 16-18 in siehe Economics Seminar
317303 Breitmoser, Clemens, Dawid, Ferrari, Greiner, Karos, Riedel, Willmann, Zaharieva Economics Seminar Ko Di 16-18 in H9 einmalig am 14.11.2023 in X-e0-001; Di 18-20 in H9 einmalig am 14.11.2023 in X-E0-001; Di 16-18, einmalig in X-E0-001 einmalig am 14.11.2023 in X-e0-001; Di 18-20, einmalig in X-E0-001 einmalig am 14.11.2023 in X-E0-001

Electives

A general list of possibilities for obtaining elective credits is given here.

Belegnr Lehrende/r Thema Art Termine Mein eKVV
311500 Ferrari Finance 1a V Mi 12-14 in U2-232; Do 12-14 in X-E0-211
311501 Ferrari Finance 1b V Mi 12-14 in Raum wie 311500; Do 12-14 in Raum wie 311500
311509 Ferrari, Dammann Finance 1 Tutorial Ü Do 10-12 in T2-228
311523 Riedel CUDE Cluster Group A: Reading Group on Individual and Strategic Behavior under Uncertainty in Dynamic Environments
In the reading group, advanced master students and dotoral students discuss latest research in economic theory.
S Fr 10-12 in V10-151
311523 Riedel CUDE Cluster Group A: Reading Group on Individual and Strategic Behavior under Uncertainty in Dynamic Environments
In the reading group, advanced master students and doctoral students discuss latest research in economic theory.
Ü    
311723 Breitmoser Verhaltensorientierte Entscheidungstheorie V Mi 12-14 in X-E0-228
311906 Greiner, Owusu Praktische Übung zur Wirtschaftspolitik Ü N. N., N. N. Einzeltermine, werden noch bekanntgegeben.
311928 Willmann Reading Course "Trade" Ü Do 12-14 in V2-135
312001 Dawid Innovationsökonomik (Economics of Innovation) V Di 12-14 in H8
312005 Wen Differential Games in Economics and Management Sciences V Do 14-16 in U2-232
312006 Wen Übung zu Differential Games in Economics and Management Science Ü Mi 12-14 in U2-147
312013 Kohlweyer Praktische Übung Industriedynamik: Künstliche Intelligenz und Wettbewerb Ü N. N., N. N. wöchentlich nach der Weihnachtspause; Fr 14-16, einmalig in T2-228; Fr 14-16, einmalig in T2-228
312099 Ippoliti Ökonomische Analyse des Rechts I "Eigentumsrecht" / Economic Analysis of Law "Property Rights"
The course is split up between lectures on the core issues of the program and seminar sessions during which students have to contribute to the learning process by presenting scientific articles on selected relevant topics for the Law and Economics, and actively taking part in discussions concerning the proposed case studies.
V Fr 12-14 in X-E0-212 einmalig am 08.12.2023 in U2-135; Fr 12-14, einmalig in U2-135 einmalig am 08.12.2023 in U2-135
312212 Zaharieva, Afonina Übung zur Arbeitsmarktökonomik Ü Mo 16-18, 14-täglich in T2-226; Mo 16-18, einmalig in T2-226; Mo 16-18, einmalig in T2-226
312213 Zaharieva Arbeitsmarktökonomik (Labour Economics with Search Frictions) V Fr 10-12 in X-E0-214
312240 Makarewicz Bounded Rationality: From Experiments to Complexity V Do 10-12 in C01-246
312242 Kohlweyer Tutorial Bounded Rationality: From Experiments to Complexity Ü N. N., N. N.
312831 Zaharieva Advanced Topic Seminar: Labour Economics S Do 10-12 in W8-107
312847 Schmeck Options, Futures and Other Derivatives V Di 8-10 in T2-220
312952 Gulenko Introduction to Natural Language Processing with Python
Prerequisites and application The course is intended for beginners without prior Python knowledge. However, to ensure a level playing field, you are required to solve one basic task prior to the course, following five steps: 1. Install Python and Jupyter Notebook on your computer. I suggest using Mini Conda, as it requires less disk space. There ample step-by-step online tutorials that show you how to do it. 2. Import some basic Python libraries: Pandas, Numpy and Matplotlib. You may need to import more later on. 3. Import a data file of your choice (e.g., csv or excel) using the Pandas library. 4. Create a visualisation of your choice using the Matplotlib library. The title of the plot should include the name of this course ("NLP for beginners"). 5. Save your solution as a notebook (.ipynb) and submit it via email until November 19, 2023 (12 p.m.).
Begrenzte Teilnahmezahl: 20
S Mo 10-12, einmalig in X-E0-209; Fr 10-12, einmalig in X-E0-228; Mo 10-12, einmalig in VHF.01.211; Fr 10-12, einmalig in X-E0-226; Mo 10-12, einmalig in X-E0-204; Fr 10-12, einmalig in U2-210
312988 Dawid, Wen CUDE Cluster Group B. Reading Group on dynamic strategic investment under uncertainty Ko Mo 16-18 in W8-107
314004 Michels Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement S Mo 16-18 in X-E0-216
314080 Afonina Praktische Übung "Efficient Data Management in Stata"
This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses. Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.
S Di 14-16 in U4-120
317307 Riedel, Preker Economic Theory Lunch Seminar Ko Fr 12-14 in V10-122
317330 Riedel, Breitmoser, Dawid, Ferrari, Förster, Fuchs, Karos, Nendel, Schmeck, Zaharieva Ringvorlesung Coping with Uncertainty in Dynamic Economies
This lecture introduces doctoral students to the core research topics of the Research Training Group 2865.
V Mi 16-18 in X-E0-207
318004 Nendel Finance 3 V Di 10-12 in V2-135
318006 Nendel Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S N. N., N. N. in V10-122 Date of 1st meeting will be communicated in due time.
318006 Finance 3 Seminar: Stochastic Control and Model Uncertainty in Economics and Finance S    
318007 Dianetti Stochastic Control and Machine Learning S Do 14-16 in V10-122
318009 Riedel Seminar in Economic Theory and Finance
The seminar discusses recent research papers on decision theory, risk measures, and games under uncertainty.
S Mo 16-18 in X-E0-211
319019 Schäfer Tutorium Macroeconomics 1a + 1b Ü Mi 16-18 in T2-204
319400 Dawid, Stummer, Langrock Research Activity I K  
319401 Dawid, Stummer, Langrock Research Activity II K  
319402 Dawid, Stummer, Langrock Training Activity I K  
319403 Dawid, Stummer, Langrock Training Activity II K  
319412 Dawid, Stummer, Langrock Soft Skills Seminar S  
319415 Römer Sequential Decision Analytics S N. N., N. N.

Work on Thesis

Belegnr Lehrende/r Thema Art Termine Mein eKVV
319404 Dawid Work on Thesis (Economics + Finance) K  

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