EP8108

Life Cycle Assessment and Environmental Systems Analysis

Spring 2024

The course is taught as an intensive 2 week summer session every other year. Next time will be 2024. See also: https://www.ntnu.edu/indecol/psie

EP8413

Directed study course in Thermo-fluid dynamics

The course is organized for PhD students with the Thermofluids research group, and targets advanced topics within the specialized research themes of the group. The course content is tailored for each individual student, to enable in-depth study in a particular research area. A detailed list of learning material will be prepared by the relevant course lecturer, with input from the PhD candidate and course coordinator.

EP8900

Integrated Assessment Modelling

The lecturers is Professors Volker Krey and Anders Hammer Strømman. Krey is the Research Group Leader of the Integrated Assessment and Climate Change (IACC) Research Group as part of the IIASA Energy, Climate, and Environment (ECE) Program at the International Institute for Applied Systems Analysis. Anders Hammer Strømman is a Professor with the Industrial Ecology Programme at NTNU. He conducts research spanning multiple sectors and environmental issues through application and development of life cycle assessment and multi regional input-output analysis methods.

Integrated Assessment Models (IAMs) are extensively used in the analysis of climate change mitigation and are informing national decision makers as well as contribute to international assessments such as those of the Intergovernmental Panel on Climate Change (IPCC). The objective of this course is to provide an overview of the field of integrated assessment modeling, including a characterization of different types of IAMs, their methodological basis and applications of IAMs.

ET8208

Power Market Theory

• Hossein Farahmand
• Magnus Korpås

IØ8303

Energy Markets

One part of the PhD class on Energy Markets provides an in-depth overview of the main economic models of energy markets. The other part of the class will focus on the energy resource markets for coal, oil, and natural gas. The course will offer detailed insights into the markets' value chains and challenges. It will link the technical characteristics of the value chains to the market organization. Different analytical concepts will be introduced to support a well-founded economic analysis of the sectors, such as game theory and institutional economics (contract theory). Moreover, for each sector, a numerical model will be introduced.

Course coordinator:

• Stein-Erik Fleten

• Asgeir Tomasgard
• Franziska Holz
• Reinhard Madlener

IØ8403

Stochastic Optimization

Fall 2023

23 - 27 October 

NTNU
(Trondheim)

The course is led by Dr. Ruben van Beesten from the Department of Industrial Economics and Technology Management (IØT), and lectured by Stein W. Wallace (NHH), Ruben van Beesten (NTNU, Erasmus University Rotterdam), Asgeir Tomasgard (NTNU), and Peter Schütz (NTNU).

The course will covey the following knowledge: The theoretical foundation necessary for formulation, analysis and solution of stochastic programming problems and relevant applications. The knowledge necessary to conduct research in the field of optimization under uncertainty. The course is designed for PhD students of the Department of Industrial Economics and Technology Management (IØT) and other departments who work with theoretical and practical optimization problems in different branches of industry and services with substantial uncertainty about problem data and other elements of problem formulation.

Spring 2024

NTNU

(Trondheim)

IØ8404

Advanced Stochastic Optimization

The course is led by Dr. Ruben van Beesten from the Department of Industrial Economics and Technology Management (IØT). Lecturers: Giovanni Pantuso (UCPH), Ward Romeijnders (University of Groningen), Stein-Erik Fleten (NTNU), Hongyu Zhang (NTNU), Ruben van Beesten (NTNU, Erasmus University Rotterdam)


The course builds on and extends IØ8403 Stochastic Optimization, focusing more on advanced models, decomposition algorithms and scenario generation.

Spring 2024

NTNU

(Trondheim)

IØ8806

Introduction Course in Complementarity Models and Equilibrium

Fall 2023

NTNU (Trondheim)

Introduction Course in Complementarity Models and Equilibrium is an intensive PhD course over 4 days given by Professor Steven A. Gabriel, University of Maryland and NTNU.

Course content includes: Karush-Kuhn-Tucker Conditions and links to Linear Programming (LP) and Nonlinear Programming (NLP) Introduction to Non-Cooperative Games (Two-Person, Zero-Sum, N-Player Nash-Cournot), Introduction to Mixed Complementarity Problems (MCPs), Applications of Mixed Complementarity Problems, Principle of Symmetry Case Study (energy or transportation), modelling session.

Spring 2024

TBA

IØ8807

Advanced Course in
Complementarity Models and Equilibrium

Advanced Course in Complementarity Models and Equilibrium is an intensive PhD course given by Professor Steven A. Gabriel, University of Maryland and NTNU.

The course will cover topics in Nonlinear Programming and optimality conditions. Further it will give an overview of Mixed Complementarity Problems including the principle of symmetry and other optimization MCP Connections. We will describe the links to the variational inequality formulation and related theory about cones. We will define generalized Nash equilibriums. Finally the course will cover solution methods for MCPs/Vis/MPECs.

Spring 2024

NTNU (Trondheim)

IØ8811

Winter School -
Planning Under Uncertainty in Energy Markets

Fall 2023

The course is led by Steven Adam Gabriel. He is a Professor at the Department of Mechanical Engineering at the University of Maryland, and an Adjunct Professort at the NTNU Energy Transition Initiative.

The course deals with the handling of uncertainty, with a focus on energy markets, investments and equilibrium theory. This course is tailor-made for PhD candidates within the fields operations research, finance and economics. The course is intensive, typically at a resort location, with lectures from several Professors and other academics.

TBA

MT8110

Electrochemical Methods