Academic Skills: Probability and Inference

2019-2020

Course Objective

Contemplate the links between notions of probability and inference.
Stimulate thinking of economic data as realization of random variables.
Learn how to make use of the information contained in the data. Practice
how to implement tests and simulations using matrix-oriented software.
Study how to present results.

Course Content

• Practice implementing exercises in software in a matrix-oriented
environment
• Think about presentation in writing and wording: What is important for
audience, what does it mean to be complete, clear, concise, and
academic?
• Revisit the notions of conditional density and conditional expectation
and explore their role in inference.
• Revisit the Law of Large Numbers (LLN) and the Central Limit Theorem
(CLT) and explore their role in approximate inference.
• Understand the role of the random sample assumption in the LLN and
CLT, and discuss its adequacy in economics.
• Explore relationships between random variables.

Teaching Methods

Lectures, practicals, question hours

Method of Assessment

Assignments, presentation.

Literature

Slides and relevant articles

Target Audience

Bachelor students EOR/EDS

Recommended background knowledge

Knowledge of analysis, probability theory and statistics at the first
year bachelor level.

General Information

Course Code E_EOR1_ACSK
Credits 6 EC
Period P6
Course Level 100
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. C.S. Bos
Examiner dr. C.S. Bos
Teaching Staff dr. H.E.D. Houba
dr. C.S. Bos

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Computer lab
Target audiences

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