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
T B A
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Lecture

HSSB 1173
M W
12:30 PM - 13:45 PM
0 / 75

Sections

ARTS 1356
M W
14:00 PM - 14:50 PM
0 / 25
PHELP2514
M W
15:00 PM - 15:50 PM
0 / 25
ILP 4207
M W
16:00 PM - 16:50 PM
0 / 25
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Summer 2024 . T B A
NH 1105
M T W R
11:00 AM - 12:20 PM
Winter 2024 . Holmes D E
CHEM 1171
M W
11:00 AM - 12:15 PM
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PSTAT 8 Grigorian K Spring 2024 Total: 22
PSTAT 8 Holmes D E Spring 2024 Total: 60
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PSTAT 8
0 / 100 Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.4
T R
12:30 PM - 13:45 PM
52.1% A
PSTAT 5LS
0 / 350 Enrolled
Statistics for Life Sciences
Jack Miller 4.9
T R
15:30 PM - 16:45 PM
37.6% A
PSTAT 5A
0 / 250 Enrolled
Understanding Data
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
32.6% A
PSTAT 5H
0 / 30 Enrolled
Honors Seminar, Statistics
Wendy Meiring 2.7
M
10:00 AM - 10:50 AM
96.9% A
PSTAT 10
0 / 250 Enrolled
Principles of Data Science with R
Uma Ravat 2.2
W F
14:00 PM - 15:15 PM
37.1% A
PSTAT 99
0 / 0 Full
Independent Studies in Statistics
T B A
PSTAT 100
0 / 125 Enrolled
Data Science Concepts and Analysis
Alexander Franks 5.0
M W
14:00 PM - 15:15 PM
65.8% A
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