DATAC88S
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DATA C88S - Probability and Mathematical Statistics in Data Science
Formerly Known As
Statistics 88
Course Title
Probability and Mathematical Statistics in Data Science
Course Description
In this connector course we will state precisely and prove results discovered while exploring data in Data C8. Topics include: probability, conditioning, and independence; random variables; distributions and joint distributions; expectation, variance, tail bounds; Central Limit Theorem; symmetries in random permutations; prior and posterior distributions; probabilistic models; bias-variance tradeoff; testing hypotheses; correlation and the regression model.
Minimum
3
Maximum
3
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Prerequisites
Prerequisite: one semester of calculus at the level of Math 16A, Math 10A, Math 1A, or Math 51. Corequisite or Prerequisite: Foundations of Data Science (COMPSCI C8 / DATA C8 / INFO C8 / STAT C8).
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Restrictions.
Students will receive no credit for STAT 88 after completing STAT 134, STAT C140, STAT 135, or STAT 102.
Cross-Listed Course(s)
Formats
Discussion, Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person
Minimum Hours
2
Maximum Hours
2
Discussion Mode of Instruction
In Person
Minimum Hours
4
Maximum Hours
4
Term
Summer
Duration (in weeks)
8
Minimum Hours
6
Maximum Hours
6
Lecture Mode of Instruction
Online
Minimum Hours
4
Maximum Hours
4
Discussion Mode of Instruction
Online
Minimum Hours
8
Maximum Hours
8