Course Name | Energy Trading and Risk Management |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
SEN 509 | Fall/Spring | 3 | 0 | 3 | 7.5 |
Prerequisites | None | |||||
Course Language | English | |||||
Course Type | Elective | |||||
Course Level | Second Cycle | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | ||||||
Course Coordinator | ||||||
Course Lecturer(s) | - | |||||
Assistant(s) | - |
Course Objectives | This course focuses on real-world applications and concepts with regard to energy trading and risk management; the course serves as a motivation and stimulation for actual / ongoing academicians and professionals willing to enter and work in the electricity markets for academic research or professional career purposes. For that reason, real-world cases, practical applications and problems in the field of energy trading and risk management will be covered in the class. An active online electricity trading game will be conducted to apply and train the learned concepts in the course. |
Learning Outcomes | The students who succeeded in this course;
|
Course Description | Focusing on the fundamentals and structure of the global electricity market primarily, the course also investigates the dynamics of the price mechanism by using analysis and modelling tools. Besides the principles and successful show cases of portfolio and risk management among energy trade, electricity and carbon markets in details. In order to support the theoretical background, an online trading game will be conducted throughout the course as well. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Basics and Structure of Electricity Markets | Related articles will be assigned |
2 | Price Formation, Analysis and Modeling in Electricity Markets | Related articles will be assigned |
3 | Understanding of Fundamental Electricity Price Drivers | Related articles will be assigned |
4 | Energy Trading I: Trading Markets, Exchanges and Trading Products | Related articles will be assigned |
5 | Energy Trading II: Online Trading Game Introduction | Lecture notes and presentations |
6 | Asset-Based vs. Speculative Trading | Lecture notes and presentations |
7 | MIDTERM EXAM | |
8 | Electricity Portfolio Management I | Lecture notes and presentations |
9 | Electricity Portfolio Management II | Lecture notes and presentations |
10 | Electricity Risk Management I | Lecture notes and presentations |
11 | Electricity Risk Management II | Lecture notes and presentations |
12 | Paper Presentations I | |
13 | Paper Presentations II | |
14 | Investment Opportunities and Strategies in Electricity Markets | Related articles will be assigned |
15 | Carbon Markets, Trading and Risk Management | Related articles will be assigned |
16 | Online Trading Game: Final Results & Discussion, Announcement of Winner |
Course Notes/Textbooks | |
Suggested Readings/Materials |
Semester Activities | Number | Weigthing |
Participation | 1 | 10 |
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | 1 | 35 |
Presentation / Jury | 1 | 25 |
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | ||
Total |
Weighting of Semester Activities on the Final Grade | 3 | 65 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 35 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 15 | 5 | 75 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | 1 | 40 | |
Presentation / Jury | 1 | 30 | |
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 32 | |
Final Exams | |||
Total | 225 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To improve theoretical and conceptual proficiencies as well as applied competencies on energy studies. | |||||
2 | To evaluate the problems and circumstances about energy systems by using theoretical and practical knowledge in fundamental disciplines of energy studies such as economics, natural sciences, political science, law, and sociology. | |||||
3 | To analyze multi-dimensional problems which are faced and unpredicted in energy system by taking over responsibility as an individual and a group member. | |||||
4 | To evaluate the relationships between factors in energy policies and applications such as structures, markets, institutions, regulations, climate change and environment in a critical perspective. | |||||
5 | To debate problems in sustainable energy development by identifying them. | |||||
6 | To argue positive and negative aspects of international affairs and geopolitics on energy. | |||||
7 | To examine the economic and political structure that energy systems are based on. | |||||
8 | To question the theoretical and empirical gaps in energy studies literature by developing original arguments in order to fill these gaps in the literature. | |||||
9 | To interpret the collected data that would measure the theories, scenarios and concepts as variables by using scientific research methods in energy sciences and sustainable energy development field. | |||||
10 | To prepare an original thesis/term project about political, economic, environmental, social and/or historical dimensions of sustainable energy and geopolitics in accordance with scientific criteria. | |||||
11 | To develop foreign language skills to be able to follow the literature on energy studies and to communicate with international scholars. | |||||
12 | To be able to use data and information in advanced levels in the field of energy sciences. | |||||
13 | To have ethical, social and scientific values in the stages throughout the processes of collecting, interpreting, disseminating and implementing data relevant to energy studies. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest