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Academic Skills: Probability and Inference - Period 6
Computer Science Program
Amsterdam, Netherlands
Dates: 1/27/27 - 6/26/27
Academic Skills: Probability and Inference - Period 6
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Economics
Instruction in: English
Course Code: E_EOR1_ACSK
Transcript Source: Partner Institution
Course Details: Level 100
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Knowledge of analysis, probability theory and statistics at the first year bachelor level.
DESCRIPTION
- 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.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
- 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.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.