Introduction to techniques of mathematical logic, proof, and fundamental structures in probability and statistics. The curriculum includes sets, inequalities, functions, continuity, limits, infinity, and random numbers and simulation. Applications to high-dimensional probability, data science, and statistics. Mastery of this material is essential for students continuing to all three PSTAT programs.

Prerequisites: Mathematics 3C or 3CI or 4A or 4AI or 4B or 4BI or 5A or 5AI or 5B or 5BI or 5C or 6A or 6AI or 6B with a grade of B or better. Not open to students who have completed Math 8.

5

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTATW 160A MATH 104A MATH 117 PSTAT 5H PSTAT 160A
These majors only stats
GRIGORIAN K
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Lecture
HSSB 1173
M W
12:30 PM - 13:45 PM
28 / 38
Sections
ILP 4211
M W
09:00 AM - 09:50 AM
7 / 25
ILP 4209
M W
15:00 PM - 15:50 PM
21 / 25
GIRV 1112
T R
08:00 AM - 08:50 AM
0 / 25
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Spring 2024 . Grigorian K
HSSB 1173
M W
17:00 PM - 18:15 PM
Spring 2024 . Grigorian K
HSSB 1173
M W
17:00 PM - 18:15 PM
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PSTAT 8 Grigorian K Fall 2023 Total: 58
PSTAT 8 Solis S W Fall 2023 Total: 71
PSTAT 8
34 / 37 Enrolled
Transition to Data Science, Probability and Statistics
Sharon Solis 3.6
M W
09:30 AM - 10:45 AM
PSTAT 5A
114 / 150 Enrolled
Understanding Data
Julie Swenson 4.6
T
08:00 AM - 09:15 AM
PSTAT 5H
8 / 30 Enrolled
Honors Seminar, Statistics
Katie Coburn 4.1
T
13:00 PM - 13:50 PM
PSTAT 10
100 / 100 Full
Principles of Data Science with R
Holmes D E
T R
11:00 AM - 12:15 PM
PSTAT 120A
85 / 190 Enrolled
Probability and Statistics
Brian Wainwright 3.1
M W
14:00 PM - 15:15 PM
PSTAT 120A
90 / 90 Full
Probability and Statistics
Katie Coburn 4.1
T R
17:00 PM - 18:15 PM