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Experiential Learning Opportunities
Statistical Methods for AI - Period 2
Computer Science Program
Amsterdam, Netherlands
Dates: 8/16/24 - 12/21/24
Statistical Methods for AI - Period 2
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Mathematics
Instruction in: English
Course Code: XB_0080
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Recommended: Basic mathematical knowledge; this includes fractions, square-roots, sums, and simple manipulations of equations.
DESCRIPTION
- Summarising data;
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems about means and proportions;
- Correlation and linear regression;
- Contingency tables.
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.
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems about means and proportions;
- Correlation and linear regression;
- Contingency tables.
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.