MIDDLE EAST ENERGY OUTLOOK

Course Description

This course is designed to provide the most up-to-date information on current Middle East region’s energy resources and potential, the domestic demand and supply balance as well as the Middle East energy outlook for the coming decades. Continent-wide and country-based energy profiles and the energy policies of the prominent States (such as: S. Arabia, Iraq, Iran, Qatar, etc.) will be provided to the students. The role of oil and gas both for the Middle East and the World will be explained in detail. The trade and political relations between oil and gas exporting Middle Eastern States and major global importers (US, EU, China, etc.) will be discussed. Reports by the IEA, US Department of Energy and major energy companies will be studied and discussed.

MIDDLE EAST ENERGY OUTLOOK

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

No weekly content has been defined yet.

Reference Books & Course Materials

No reference books have been listed.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.