MALKA220 Atferdsøkonomi Emneplan

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Admission to the study program

On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:

Knowledge

The student can

• describe and discuss the main distinctions between neoclassical economics, behavioral economics and behavior analysis, and define behavioral economics and describe the origins
• define the concepts of Homo economicus and bounded rationality
• define the core concepts of discounting
• define "beliefs, biases and heuristics" and describe typical heuristics
• define core principles in game theory

Skills

The student can

• discuss discounting in relation to the standard economic model and behavioral economics
• describe and discuss the concepts of rule-governed and contingency shaped behavior in the light of discounting
• discuss how nudging can affect choice behavior, and analyze nudging in behavioral analytic terms
• discuss the concept of selection at the behavioral and cultural level in relation to micro- and macroeconomics

Competence

The student can

• present core principles of behavioral economics to others in a way that meets the requirements of professional scientific communication
• present core principles of behavioral economics to the Public
• discuss how behavior analysis can contribute to the field of behavioral economics
• present evidence based research from behavioral economics, and discuss different methods and Applications
• discuss how the field of behavioral economics can contribute to further understanding of choice behavior

Language of instruction: Norwegian/English

Computed tomography (CT) provides great opportunities for accurate and detailed diagnosis, and has increased in scope in recent years. The specialisation course in CT focuses on protocol development, new trends in parameter selection, post-processing and image analysis. This course has been developed with a focus on new technology and in-depth study of innovative imaging methods.

Passed first and second year of the programme or equivalent. RAB1050 and RAB1060 are exempt from the progression requirement.

Individual home examination, 4 hours. Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English.

After completing the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student can

• explain different CT scan parameters, how they relate to each other and their effect on the image quality and radiation dose of the CT examinations
• explain the general principles for CT optimisation with respect to image quality and radiation dose
• explain the clinical application of the different protocols
• explain optimisation of contrast agent examinations using new technology
• describe how advanced new CT technology can be used in optimisation projects

Skills

The student can

• apply advanced image processing methods in CT examinations

General competence

The student can

• discuss the role of CT in diagnostic imaging at present and in future
• assess the role of innovation in the field of CT

The work and teaching methods include lectures, seminars, skills training and self-study.

The following must have been approved in order for the student to take the exam:

• a minimum attendance of 80 % at scheduled seminars and skills training sessions