Dongning Guo (Fall), Prof. Ermin Wei (Spring) COURSE GOALS: To teach students the basic concepts of probability theory and statistics, random variables, conditional distributions, and correlation as ...

This course is available as an outside option to students on other programmes where regulations permit and to General Course students. The course covers the probability, distribution theory and ...

We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand it’s fundamental importance for all of statistics and data science. **Could be changed** The ...

The purposes of this course are (a) to explain the formal basis of abstract probability theory, and the justification for basic results in the theory, and (b) to explore those aspects of the theory ...

It expects familiarity with undergraduate-level calculus, probability theory, and linear algebra. Prerequisites by course: ELEC_ENG 302 Probabilistic Systems or equivalent. Prerequisites by topic: ...

Additionally, students must always refer to course syllabus for the most up to date information. Introduces students to the tools methods and theory behind extracting insights from data. Covers ...