Matematik-Økonomi kurser i E 2019

Kandidatkurser Matematik-Økonomi Efterår 2019

A. Retning Finansiering

A.1 Kurser tilbudt fra Institut for Matematik

A.2 Kurser tilbudt fra Institut for Økonomi

B. Retning Nationaløkonomi

B.1 Kurser E2019

B.2 Øvrige kurser udbudt af Institut for Økomomi

B.3 Topics opgaver

 4805: Topics in Economics and Management (5 ECTS)	 4810: Topics in Economics and Management (10 ECTS)
 48 7 1: Project-based Internship (10 ECTS)	 48 7 2: Project-based Internship (15 ECTS)
 583 1 : Topics in Economics and Management (P) (10 ECTS)

C. Retning Operationsanalyse

C.1 Kurser tilbudt fra Institut for Matematik

 Graph Theory I (10 ECTS )	 Multiple Criteria Opt imization (10 ECTS)
 Causal Inference and Econometrics (10 ECTS)	 Projektarbejde i Matematik-Økonomi (5 ECTS)
 Projektarbejde i Matematik-Økonomi (10 ECTS)

C.2 Kurser tilbudt fra Institut for Økonomi

C.2.1 Logistik & Supply Chain Management

 Logistics and Business Processes in SAP (10 ECTS)	 Project Management: Dynamic Scheduling and Control (5 ECTS)
 Supply Chain Design and Management (10 ECTS)

C.2.2 Business Intelligence

 Business Forecasting (10 ECTS)	 Business Intelligence and Data Management (10 ECTS)
 R for Business Analytics (5 ECTS)

C.3 Kurser tilbudt fra Institut for Datalogi

Bemærkninger:

•Kurser markeret som KURS ser vi som kernekurser og er anbefalet.
•(P) mener ”projekt”.
•Nogen kurser på Økonomi vil være skemalagt på samme tidspunkt, så at det er faktisk kun mulig, at vælge et kursus fra disse kurser.

 Advanced Derivatives Modeling (P) (10 ECTS )	 Pricing and Hedging of Derivatives (10 ECTS )
 A dvanced R programming for Statistical Applications (5 ECTS)	 Causal Inference and Econometrics (10 ECTS)
 Monte Carlo Simul ation (10 ECTS)	 Projektarbejde i Matematik-Økonomi (5 ECTS)
 Projektarbejde i Matematik-Økonomi (10 ECTS)	 Random Matrices (10 ECTS)
 Stochastic Calculus (10 ECTS)	 S urvival Analysis with SAS (10 ECTS)

 Accounting for Decision and Control (10 ECTS)	 A dvanced Corporate Finance (5 ECTS)
 Applied Financial Econometric s (10 ECTS)	 A dvanced A ss et Pricing (10 ECTS)
 Asset Allocation (5 ECTS)	 A sset Pricing (10 ECTS)
 Business Forecasting (10 ECTS)	 Corporate Finance (10 ECTS)
 Fi n ancial Econometrics (10 ECTS)	 High Frequency Econometrics (P) (10 ECTS)
 Life Insurance and Pension Economics (10 ECTS)	 Machine Learning Methods in Empirical Economics (10 ECTS)
 Pension Fund Management (5 ECTS)	 R for Business Analytics (5 ECTS)
 Real Estate Finance and Investment (5 ECTS)	 Time Series Econometrics (10 ECTS)
 Understanding, Modeling and Managing Longevity Risk (5 ECTS)

 Macro 2 (10 ECTS)	 Micro 2 (10 ECTS)
 Advanced Industrial Economics (5 ECTS)	 Advanced Macroeconomics (10 ECTS)
 Applied Micro e conometrics (P) (10 ECTS)	 Causal Inference and Economet r ics (10 ECTS)
 Cost Benefit Analysis (10 ECTS)	 Economic Growth and the Environment (10 ECTS)
 Environmental Economics (P) (10 ECTS)	 Health Economics (10 ECTS)
 High Frequency Econometrics (P) (10 ECTS)	 International Economics (10 ECTS)
 Labour Economics (10 ECTS)	 Machine Learning Methods in Empirical Economics (10 ECTS)
 Micro e conometrics (10 ECTS)	 Political Economy (10 ECTS)
 Politic s and Econom ics of the EU (10 ECTS)	 The Economics of the Welfare State (10 ECTS)
 Time Series Econom etrics (10 ECTS)

 Econom ics of Marketing (10 ECTS)	 Or gani s at i onal Economics and Strategy (5 ECTS)
 Organizat i onal Change and Development (10 ECTS)	 Strategy and Management in Public and Public-private Organizations (P) (10 ECTS)
 T heories of the F irm (10 ECTS)

 Advanced Data Management and Analysis (10 ECTS)	 Deep Learning for Visual Recognition (10 ECTS)
 Interdisciplinary Digital Entrepreneurship (10 ECTS)	 Machine Learning (10 ECTS)
 Softwarekonstruktion og softwarearkitektur (10 ECTS)	 Theory of Algorithms and Computational Complexity (10 ECTS)