Learning Outcomes
KNOWLEDGE: Students will be able to describe and explain the topics listed in the 'content' section.
SKILLS: Students will be able to solve non-linear and/or stochastic problems using the methods of applied mathematics, use standard software, and write scientific texts.
ABILITIES: Students will be able to create their own mathematical programs in order to empirically evaluate short and long term trends in a case study of one of the application areas (i.a. electricity, gas, coal, CO2, transportation, water). Students get hands on experience with state-of-the-art theoretical and applied concepts of tools for policy advice in network industries.
Content
The topics of the autumn school vary each year due to different guest lecturers, depending on actual policy debates and themes. There are usually two to three tracks for students to choose from. Exemplary topics are:
– One and two-level energy market equilibrium modeling
– Regulatory benchmarking for network industries
– Stochastic optimization modeling
– Efficiency and productivity analysis in public sector industries
– Modeling watershed economics and policy
Description of Teaching and Learning Methods
The module is taught as seminar in a one-week block seminar in the beginning of October. The lecture combines theoretical approaches and methods from the field of operations research. Students will, in addition, prepare and present a term paper in small groups of four students, applying the theoretical knowledge to a current topic.
