CSCI 2360
Probability & Stats for CS
Lec 01 and Lab B01 selected
This course is an introduction to probability theory and statistics with applications to computer science, in particular to data science and experimental computer science. Students will be introduced to the idea of random numbers and the formal language of reasoning with uncertainty as well as with the basic tools and an outlook of advanced tools for experimental investigations in computer science such as HCI. What is a random number, probability mass and density functions, data analytics, probabilistic reasoning, basic hypothesis testing, sample size estimation, and inter-rater reliability. Applications and relevance of these concepts in computer science will be emphasized.
Sections
Lecture
Lec 01
Mon, Wed, Fri 8:35-9:25
Lab
Lab B01
Mon 10:05-11:25
Syllabus
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