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Course Description
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Course Name
Academic Skills: Probability and Inference
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Host University
Vrije Universiteit Amsterdam
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Location
Amsterdam, The Netherlands
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Area of Study
Computer Science, Economics
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Language Level
Taught In English
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Course Level Recommendations
Lower
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
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 hoursTYPE OF ASSESSMENT
Assignments, presentation.RECOMMENDED BACKGROUND KNOWLEDGE
Knowledge of analysis, probability theory and statistics at the first year bachelor level.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.