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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Fall 2024 . Grigorian K
HSSB 1173
M W
12:30 PM - 13:45 PM
Fall 2025 . Grigorian K
HSSB 1173
T R
17:00 PM - 18:15 PM
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PSTAT 8 Grigorian K Fall 2024 Total: 74
PSTAT 8 Grigorian K Spring 2024 Total: 22
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PSTAT 8
0 / 100 Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.3
M W
11:00 AM - 12:15 PM
47.7% A
PSTAT 8
10 / 75 Enrolled
Transition to Data Science, Probability and Statistics
Karen GRIGORIAN 2.6
M W
17:00 PM - 18:15 PM
47.7% A
PSTAT 8
75 / 75 Full
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.3
M W
11:00 AM - 12:15 PM
47.7% A
PSTAT 5LS
299 / 300 Enrolled
Statistics for Life Sciences
Jack Miller 4.8
T R
11:00 AM - 12:15 PM
39.4% A
PSTAT 5A
300 / 300 Full
Understanding Data
Mouminoux C
T R
15:30 PM - 16:45 PM
32.5% A
PSTAT 5H
8 / 30 Enrolled
Honors Seminar, Statistics
Wendy Meiring 2.8
M
13:00 PM - 13:50 PM
96.9% A
PSTAT 10
250 / 250 Full
Principles of Data Science with R
Holmes D E
W F
12:30 PM - 13:45 PM
36.6% A
PSTAT 99
0 / 0 Full
Independent Studies in Statistics
T B A
PSTAT 100
0 / 75 Closed
Data Science Concepts and Analysis
T B A
T R
09:30 AM - 10:45 AM
69.2% A