Courses

2023 Summer STAT 2 001 LEC 001 - Introduction to Statistics

Course Times
MoWeTh 3:00pm - 3:59pm
Course Location
Internet/Online
Course Units
4
Course number
2
Course description

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.

Status Limit Enrolled Waitlist
O 120 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13851 LAB 2 TuTh 9:00am - 10:59am Internet/Online 4 30/0/0
13852 LAB 2 TuTh 11:30am - 1:29pm Internet/Online 4 30/0/0
14171 LAB 2 TuTh 2:00pm - 3:59pm Internet/Online 4 30/0/0
14179 LAB 2 TuTh 5:00pm - 6:59pm Internet/Online 4 30/0/0

2023 Summer STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoTuWeThFr 10:00am - 10:59am
Course Location
Dwinelle 155
Course Units
4
Course number
C8
Course description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14068 LAB 8 MoWe 5:00pm - 6:59pm Hearst Field Annex B5 4 0/0/0
14069 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3111 4 0/0/0
14070 LAB 8 4 0/0/0
13993 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3111 4 0/0/0
13994 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3109 4 0/0/0
13870 LAB 8 MoWe 11:00am - 12:59pm Etcheverry 3119 4 0/0/0
13871 LAB 8 MoWe 11:00am - 12:59pm Social Sciences Building 110 4 0/0/0
13880 LAB 8 MoWe 11:00am - 12:59pm Social Sciences Building 122 4 0/0/0
13881 LAB 8 MoWe 11:00am - 12:59pm Requested General Assignment 4 0/0/0
13882 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3119 4 0/0/0
13883 LAB 8 MoWe 1:00pm - 2:59pm Social Sciences Building 110 4 0/0/0
13887 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3111 4 0/0/0
13888 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3109 4 0/0/0
13896 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3105 4 0/0/0
13897 LAB 8 MoWe 3:00pm - 4:59pm Hearst Field Annex B5 4 0/0/0
13992 LAB 8 MoWe 3:00pm - 4:59pm Social Sciences Building 110 4 0/0/0
13995 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3109 4 0/0/0
13996 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3107 4 0/0/0

2023 Summer STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoTuWeTh 11:00am - 12:29pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Status Limit Enrolled Waitlist
O 90 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13854 LAB 20 TuWeTh 1:00pm - 1:59pm Anthro/Art Practice Bldg 160 4 31/0/0
13855 LAB 20 MoWeTh 2:00pm - 2:59pm 4 30/0/0
13999 LAB 20 MoWeTh 3:00pm - 3:59pm 4 30/0/0

2023 Summer STAT 21 001 LEC 001 - Introductory Probability and Statistics for Business

Course Location
Internet/Online
Course Units
4
Course number
21
Course description

Descriptive statistics, probability models and related concepts, sample surveys, estimates, confidence intervals, tests of significance, controlled experiments vs. observational studies, correlation and regression.

Status Limit Enrolled Waitlist
O 277 0 0

2023 Summer STAT C100 001 LEC 001 - Principles & Techniques of Data Science

Course Times
MoTuWeTh 2:00pm - 3:29pm
Course Location
Valley Life Sciences 2050
Course Units
4
Course number
C100
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13971 LAB 100 MoTuWeThFr 4:30pm - 5:29pm Internet/Online 4 0/0/0
14073 LAB 100 4 0/0/0
13958 LAB 100 TuTh 1:00pm - 1:59pm Etcheverry 3111 4 0/0/0
13960 LAB 100 TuTh 2:00pm - 2:59pm Hearst Field Annex B5 4 0/0/0
13953 LAB 100 TuTh 4:00pm - 4:59pm Hearst Field Annex B5 4 0/0/0
13955 LAB 100 TuTh 4:00pm - 4:59pm Etcheverry 3111 4 0/0/0
13957 LAB 100 TuTh 4:00pm - 4:59pm Etcheverry 3109 4 0/0/0

2023 Summer STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoTuWeTh 9:00am - 10:29am
Course Location
North Gate 105
Course Units
4
Course number
134
Course description

An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.

Status Limit Enrolled Waitlist
O 100 0 0

2023 Summer STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
TuWeTh 1:00pm - 2:59pm
Course Location
Etcheverry 3106
Course Units
4
Course number
135
Course description

A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.

Status Limit Enrolled Waitlist
O 60 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
15456 LAB 135 TuWeTh 3:30pm - 4:30pm 4 30/0/0
15457 LAB 135 TuWeTh 4:30pm - 5:30pm 4 30/0/0

2023 Summer STAT 155 001 LEC 001 - Game Theory

Course Times
TuWeTh 10:00am - 11:59am
Course Location
Evans 60
Course Units
3
Course number
155
Course description

General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples.

Status Limit Enrolled Waitlist
O 60 0 0

2023 Spring STAT 2 001 LEC 001 - Introduction to Statistics

Course Location
Internet/Online
Course Units
4
Course number
2
Course description

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.

Instructor(s)
Chun Yu Hong
Status Limit Enrolled Waitlist
O 448 447 9
Class # Section Date And Times Location Units LIM/ENR/WAIT
23268 LAB 2 MoWe 8:00am - 8:59am Evans 2 4 28/28/1
23269 LAB 2 MoWe 9:00am - 9:59am Evans 70 4 28/28/0
23270 LAB 2 MoWe 10:00am - 10:59am Cheit C335 4 28/28/1
23271 LAB 2 MoWe 10:00am - 10:59am Wheeler 106 4 28/28/0
23272 LAB 2 MoWe 11:00am - 11:59am Latimer 105 4 28/28/1
23273 LAB 2 MoWe 11:00am - 11:59am Cheit C335 4 28/28/1
23274 LAB 2 MoWe 1:00pm - 1:59pm Evans 85 4 28/28/0
23275 LAB 2 MoWe 2:00pm - 2:59pm Evans 75 4 28/28/0
26524 LAB 2 MoWe 2:00pm - 2:59pm Wheeler 24 4 28/28/0
26525 LAB 2 MoWe 3:00pm - 3:59pm Evans 81 4 28/28/1
26526 LAB 2 MoWe 9:00am - 9:59am Evans 334 4 28/28/1
26527 LAB 2 MoWe 5:00pm - 5:59pm Evans 75 4 28/28/2
26528 LAB 2 MoWe 2:00pm - 2:59pm Evans 344 4 28/27/0
27027 LAB 2 MoWe 3:00pm - 3:59pm Evans 344 4 28/28/1
32910 LAB 2 MoWe 4:00pm - 4:59pm Evans 334 4 28/28/0
32911 LAB 2 MoWe 4:00pm - 4:59pm Evans 344 4 28/28/0

2023 Spring STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Wheeler 150
Course Units
4
Course number
C8
Course description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Instructor(s)
Swupnil K Sahai, Joseph Edgar Gonzalez
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23452 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
23453 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
23454 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
23455 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
23456 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
23457 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
23458 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
23459 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
23460 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
23461 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
23462 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
23463 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
23464 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
23465 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
23466 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
23467 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
23468 LAB 8 Th 8:00am - 9:59am 4 0/0/0
23469 LAB 8 Th 8:00am - 9:59am 4 0/0/0
23470 LAB 8 Th 8:00am - 9:59am 4 0/0/0
23471 LAB 8 Th 8:00am - 9:59am 4 0/0/0
23817 LAB 8 Th 10:00am - 11:59am 4 0/0/0
24009 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
24045 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
24047 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
24048 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
24049 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
24050 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
24051 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
24052 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
23814 LAB 8 Th 10:00am - 11:59am 4 0/0/0
24252 LAB 8 Th 6:00pm - 7:59pm 4 0/0/0
23815 LAB 8 Th 10:00am - 11:59am 4 0/0/0
24220 LAB 8 Th 4:00pm - 5:59pm Internet/Online 4 0/0/0
24525 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
23816 LAB 8 Th 10:00am - 11:59am 4 0/0/0
24221 LAB 8 Th 4:00pm - 5:59pm Internet/Online 4 0/0/0
24526 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
24222 LAB 8 Th 4:00pm - 5:59pm Internet/Online 4 0/0/0
24527 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
24223 LAB 8 Th 4:00pm - 5:59pm Wheeler 104 4 0/0/0
24615 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
24616 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
24617 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
24224 LAB 8 Th 6:00pm - 7:59pm Internet/Online 4 0/0/0
24618 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
24619 LAB 8 Fr 8:00am - 9:59am 4 0/0/0
24620 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
24621 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
24622 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
24225 LAB 8 Th 6:00pm - 7:59pm Internet/Online 4 0/0/0
25040 LAB 8 Mo 12:00pm - 12:59pm Etcheverry 3105 4 0/0/0

2023 Spring STAT 20 004 LEC 004 - Introduction to Probability and Statistics

Course Times
MoWeFr 12:00pm - 12:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 96 9
Class # Section Date And Times Location Units LIM/ENR/WAIT
31489 LAB 20 WeFr 1:00pm - 1:59pm Moffitt Library 145 4 96/96/9

2023 Spring STAT 20 005 LEC 005 - Introduction to Probability and Statistics

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 96 10
Class # Section Date And Times Location Units LIM/ENR/WAIT
31490 LAB 20 WeFr 3:00pm - 3:59pm Moffitt Library 145 4 96/96/10

2023 Spring STAT 20 007 LEC 007 - Introduction to Probability and Statistics

Course Times
MoWeFr 5:00pm - 5:59pm
Course Location
Wheeler 212
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Silas Gifford
Status Limit Enrolled Waitlist
C 122 122 2
Class # Section Date And Times Location Units LIM/ENR/WAIT
31492 LAB 20 WeFr 6:00pm - 6:59pm Wheeler 212 4 122/122/2

2023 Spring STAT 20 008 LEC 008 - Introduction to Probability and Statistics

Course Times
MoWeFr 8:00am - 8:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 96 96 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
31493 LAB 20 WeFr 9:00am - 9:59am Moffitt Library 145 4 96/96/1

2023 Spring STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoWeFr 8:00am - 8:59am
Course Location
Wheeler 212
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
C 122 122 10
Class # Section Date And Times Location Units LIM/ENR/WAIT
23277 LAB 20 WeFr 9:00am - 9:59am Wheeler 212 4 122/122/10

2023 Spring STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 8:00am - 8:59am
Course Location
GSPP 150
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 86 86 10
Class # Section Date And Times Location Units LIM/ENR/WAIT
27150 LAB 20 WeFr 9:00am - 9:59am GSPP 150 4 86/86/10

2023 Spring STAT 20 003 LEC 003 - Introduction to Probability and Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 96 96 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
27352 LAB 20 WeFr 11:00am - 11:59am Moffitt Library 145 4 96/96/4

2023 Spring STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Mo 2:00pm - 2:59pm
Course Location
Valley Life Sciences 2040
Course Units
1
Course number
33A
Course description

An introduction to the R statistical software for students with minimal prior experience with programming. This course prepares students for data analysis with R. The focus is on the computational model that underlies the R language with the goal of providing a foundation for coding. Topics include data types and structures, such as vectors, data frames and lists; the REPL evaluation model; function calls, argument matching, and environments; writing simple functions and control flow. Tools for reading, analyzing, and plotting data are covered, such as data input/output, reshaping data, the formula language, and graphics models.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 89 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24866 LAB 33 We 11:00am - 11:59am Evans 342 1 25/21/0
24867 LAB 33 We 9:00am - 9:59am Evans 342 1 25/20/0
24868 LAB 33 We 1:00pm - 1:59pm Evans 342 1 25/25/0
24869 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/23/0

2023 Spring STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
We 2:00pm - 2:59pm
Course Location
Valley Life Sciences 2040
Course Units
1
Course number
33B
Course description

The course is designed primarily for those who are already familiar with programming in another language, such as python, and want to understand how R works, and for those who already know the basics of R programming and want to gain a more in-depth understanding of the language in order to improve their coding. The focus is on the underlying paradigms in R, such as functional programming, atomic vectors, complex data structures, environments, and object systems. The goal of this course is to better understand programming principles in general and to write better R code that capitalizes on the language's design.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 99 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
25742 LAB 33 Fr 10:00am - 10:59am Evans 342 1 25/24/0
25828 LAB 33 Fr 1:00pm - 1:59pm Evans 342 1 25/25/0
26529 LAB 33 Fr 2:00pm - 2:59pm Evans 342 1 25/25/1
24871 LAB 33 Fr 11:00am - 11:59am Evans 342 1 25/25/0

2023 Spring STAT C100 001 LEC 001 - Principles & Techniques of Data Science

Course Times
TuTh 11:00am - 12:29pm
Course Location
Wheeler 150
Course Units
4
Course number
C100
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Instructor(s)
Lisa Yan, Narges Norouzi
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25088 LAB 100 Tu 7:00pm - 7:59pm Evans 342 4 0/0/0
23801 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
23802 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
23803 LAB 100 We 10:00am - 10:59am 4 0/0/0
23804 LAB 100 We 10:00am - 10:59am 4 0/0/0
24028 LAB 100 We 11:00am - 11:59am 4 0/0/0
24029 LAB 100 We 11:00am - 11:59am 4 0/0/0
24030 LAB 100 4 0/0/0
24031 LAB 100 4 0/0/0
24032 LAB 100 4 1/0/0
24033 LAB 100 4 0/0/0
24034 LAB 100 4 0/0/0
24036 LAB 100 4 0/0/0
24037 LAB 100 4 0/0/0
24038 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
24039 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
24040 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
24041 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
24042 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
24043 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
24044 LAB 100 4 0/0/0
24554 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
24556 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
24558 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
24669 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
25072 LAB 100 We 9:00am - 9:59am 4 0/0/0
25074 LAB 100 We 10:00am - 10:59am 4 0/0/0
25076 LAB 100 We 11:00am - 11:59am 4 0/0/0
25078 LAB 100 We 9:00am - 9:59am 4 0/0/0
25080 LAB 100 Tu 5:00pm - 5:59pm 4 0/0/0
25082 LAB 100 Tu 6:00pm - 6:59pm 4 0/0/0
25094 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
25096 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
25090 LAB 100 Tu 7:00pm - 7:59pm Wheeler 150 4 0/0/0
25092 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
24035 LAB 100 4 0/0/0
25084 LAB 100 Tu 7:00pm - 7:59pm Valley Life Sciences 2050 4 0/0/0
25086 LAB 100 Tu 7:00pm - 7:59pm Evans 342 4 0/0/0
24560 LAB 100 Tu 3:00pm - 3:59pm Sutardja Dai 254 4 0/0/0
24562 LAB 100 Tu 3:00pm - 3:59pm Cory 105 4 0/0/0
24564 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
24566 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0

2023 Spring STAT C102 001 LEC 001 - Data, Inference, and Decisions

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Li Ka Shing 245
Course Units
4
Course number
C102
Course description

This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.

Instructor(s)
Eaman Jahani, Ramesh Sridharan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25499 LAB 102 4 0/0/0

2023 Spring STAT C131A 001 LEC 001 - Statistical Methods for Data Science

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Social Sciences Building 170
Course Units
4
Course number
C131A
Course description

This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.

Instructor(s)
Elizabeth Purdom
Status Limit Enrolled Waitlist
C 64 64 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
25832 LAB 131 MoWe 10:00am - 10:59am Evans 334 4 32/31/2
25833 LAB 131 MoWe 3:00pm - 3:59pm Evans 334 4 33/33/2

2023 Spring STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Stanley 105
Course Units
3
Course number
133
Course description

An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
C 180 179 3
Class # Section Date And Times Location Units LIM/ENR/WAIT
23282 LAB 133 Th 9:00am - 10:59am Evans 340 3 30/29/2
23283 LAB 133 Th 10:00am - 11:59am Evans 334 3 30/30/1
23284 LAB 133 Th 11:00am - 12:59pm Evans 340 3 31/31/0
23285 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 30/30/0
23286 LAB 133 Th 2:00pm - 3:59pm Evans 334 3 30/30/0
23287 LAB 133 Th 3:00pm - 4:59pm Evans 340 3 30/29/0

2023 Spring STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Dwinelle 155
Course Units
4
Course number
134
Course description

An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 360 357 2

2023 Spring STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Evans 10
Course Units
4
Course number
135
Course description

A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 180 142 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23301 LAB 135 Fr 12:00pm - 1:59pm Dwinelle 79 4 30/25/0
23302 LAB 135 Fr 12:00pm - 1:59pm Stanley 179 4 30/27/0
23303 LAB 135 Fr 2:00pm - 3:59pm Wheeler 30 4 30/27/0
23304 LAB 135 Fr 2:00pm - 3:59pm Stanley 179 4 30/17/0
23305 LAB 135 Fr 4:00pm - 5:59pm Wheeler 30 4 30/22/0
23300 LAB 135 Fr 3:00pm - 4:59pm Evans 334 4 30/24/0

2023 Spring STAT C140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Dwinelle 155
Course Units
4
Course number
C140
Course description

An introduction to probability, emphasizing the combined use of mathematics and programming. Discrete and continuous families of distributions. Bounds and approximations. Transforms and convergence. Markov chains and Markov Chain Monte Carlo. Dependence, conditioning, Bayesian methods. Maximum likelihood, least squares prediction, the multivariate normal, and multiple regression. Random permutations, symmetry, and order statistics. Use of numerical computation, graphics, simulation, and computer algebra.

Instructor(s)
Anindita Adhikari
Status Limit Enrolled Waitlist
C 0 0 0

2023 Spring STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Stanley 106
Course Units
3
Course number
150
Course description

Random walks, discrete time Markov chains, Poisson processes. Further topics such as: continuous time Markov chains, queueing theory, point processes, branching processes, renewal theory, stationary processes, Gaussian processes.

Instructor(s)
Benson C Au, Daniel Cyrus Raban
Status Limit Enrolled Waitlist
O 100 67 0

2023 Spring STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Tan 180
Course Units
4
Course number
151A
Course description

A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies.

Instructor(s)
Aidan Thomas McLoughlin
Status Limit Enrolled Waitlist
C 70 70 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
31689 LAB 151 We 1:00pm - 2:59pm Evans 340 4 35/35/0
31690 LAB 151 We 3:00pm - 4:59pm Evans 342 4 35/35/1

2023 Spring STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
TuTh 9:30am - 10:59am
Course Location
Valley Life Sciences 2060
Course Units
4
Course number
153
Course description

An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra.

Instructor(s)
Hansheng Jiang
Status Limit Enrolled Waitlist
O 70 65 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23310 LAB 153 Fr 4:00pm - 5:59pm Wheeler 200 4 35/0/0
23309 LAB 153 Fr 1:00pm - 2:59pm Hearst Gym 242 4 35/0/0
23307 LAB 153 Fr 12:00pm - 1:59pm Mulford 240 4 35/34/0
23308 LAB 153 Fr 3:00pm - 4:59pm Evans 342 4 35/31/0

2023 Spring STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 11:00am - 12:29pm
Course Location
Etcheverry 3106
Course Units
4
Course number
154
Course description

Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions.

Instructor(s)
Nikita Kirillovich Zhivotovskii
Status Limit Enrolled Waitlist
O 35 32 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
23312 LAB 154 Mo 12:00pm - 1:59pm Evans 342 4 17/15/0
24513 LAB 154 Mo 3:00pm - 4:59pm Evans 342 4 17/17/1

2023 Spring STAT 155 001 LEC 001 - Game Theory

Course Times
TuTh 8:00am - 9:29am
Course Location
Stanley 106
Course Units
3
Course number
155
Course description

General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples.

Instructor(s)
Adrian Gonzalez Casanova Soberon, Hyunsuk Kim
Status Limit Enrolled Waitlist
O 100 74 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33789 LAB 201 Mo 3:00pm - 4:59pm Evans 330 4 30/15/0

2023 Spring STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Physics Building 251
Course Units
3
Course number
157
Course description

Substantial student participation required. The topics to be covered each semester that the course may be offered will be announced by the middle of the preceding semester; see departmental bulletins. Recent topics include: Bayesian statistics, statistics and finance, random matrix theory, high-dimensional statistics.

Instructor(s)
Jacob Noah Steinhardt
Status Limit Enrolled Waitlist
C 77 77 0

2023 Spring STAT 158 001 LEC 001 - Experimental Design

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Etcheverry 3106
Course Units
4
Course number
158
Course description

This course will review the statistical foundations of randomized experiments and study principles for addressing common setbacks in experimental design and analysis in practice. We will cover the notion of potential outcomes for causal inference and the Fisherian principles for experimentation (randomization, blocking, and replications). We will also cover experiments with complex structures (clustering in units, factorial design, hierarchy in treatments, sequential assignment, etc). We will also address practical complications in experiments, including noncompliance, missing data, and measurement error.

Instructor(s)
Peng Ding
Status Limit Enrolled Waitlist
O 35 23 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33448 LAB 158 We 9:00am - 10:59am Evans 344 4 17/12/0
33449 LAB 158 We 12:00pm - 1:59pm Evans 344 4 17/11/0
32934 LAB 158 We 9:00am - 10:59am Evans 344 4 18/0/0
32935 LAB 158 We 12:00pm - 1:59pm Evans 344 4 18/0/0

2023 Spring STAT 159 001 LEC 001 - Reproducible and Collaborative Statistical Data Science

Course Times
Mo 2:00pm - 4:59pm
Course Location
Moffitt Library 102
Course Units
4
Course number
159
Course description

A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students will learn practical techniques and tools for producing statistically sound and appropriate, reproducible, and verifiable computational answers to scientific questions. Course emphasizes version control, testing, process automation, code review, and collaborative programming. Software tools may include Bash, Git, Python, and LaTeX.

Instructor(s)
Fernando Perez
Status Limit Enrolled Waitlist
O 58 55 5
Class # Section Date And Times Location Units LIM/ENR/WAIT
25671 LAB 159 Fr 9:00am - 10:59am Evans 340 4 29/29/2
25672 LAB 159 Fr 12:00pm - 1:59pm Evans 340 4 29/26/3

2023 Spring STAT C200C 001 LEC 001 - Principles and Techniques of Data Science

Course Times
TuTh 11:00am - 12:29pm
Course Location
Wheeler 150
Course Units
4
Course number
C200C
Course description

Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.

Instructor(s)
Lisa Yan, Narges Norouzi
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24569 LAB 200 4 0/0/0

2023 Spring STAT C205B 001 LEC 001 - Probability Theory

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 344
Course Units
4
Course number
C205B
Course description

The course is designed as a sequence with with Statistics C205A/Mathematics C218A with the following combined syllabus. Measure theory concepts needed for probability. Expection, distributions. Laws of large numbers and central limit theorems for independent random variables. Characteristic function methods. Conditional expectations, martingales and martingale convergence theorems. Markov chains. Stationary processes. Brownian motion.

Instructor(s)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 20 8 0

2023 Spring STAT C206B 001 LEC 001 - Advanced Topics in Probability and Stochastic Processes

Course Times
Tu 5:00pm - 7:59pm
Course Location
Evans 344
Course Units
3
Course number
C206B
Course description

The topics of this course change each semester, and multiple sections may be offered. Advanced topics in probability offered according to students demand and faculty availability.

Instructor(s)
Vadim Gorin
Status Limit Enrolled Waitlist
C 15 15 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
33580 LAB 151 Fr 1:00pm - 2:59pm Evans 334 4 0/0/0
33581 LAB 151 Fr 3:00pm - 4:59pm Evans 334 4 0/0/0

2023 Spring STAT 210B 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
Course Units
4
Course number
210B
Course description

Introduction to modern theory of statistics; empirical processes, influence functions, M-estimation, U and V statistics and associated stochastic decompositions; non-parametric function estimation and associated minimax theory; semiparametric models; Monte Carlo methods and bootstrap methods; distributionfree and equivariant procedures; topics in machine learning. Topics covered may vary with instructor.

Instructor(s)
Song Mei, Licong Lin
Status Limit Enrolled Waitlist
O 45 34 0

2023 Spring STAT 215B 001 LEC 001 - Statistical Models: Theory and Application

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 1011
Course Units
4
Course number
215B
Course description

Course builds on 215A in developing critical thinking skills and the techniques of advanced applied statistics. Particular topics vary with instructor. Examples of possible topics include planning and design of experiments, ANOVA and random effects models, splines, classification, spatial statistics, categorical data analysis, survival analysis, and multivariate analysis.

Instructor(s)
Jon Mcauliffe
Status Limit Enrolled Waitlist
O 25 18 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23323 LAB 215 Fr 9:00am - 10:59am Evans 344 4 25/18/0

2023 Spring STAT 222 001 SEM 001 - Masters of Statistics Capstone Project

Course Times
Tu 5:00pm - 7:59pm
Course Location
Dwinelle 88
Course Units
4
Course number
222
Course description

The capstone project is part of the masters degree program in statistics. Students engage in professionally-oriented group research under the supervision of a research advisor. The research synthesizes the statistical, computational, economic, and social issues involved in solving complex real-world problems.

Instructor(s)
Libor Pospisil, Thomas NG Bengtsson
Status Limit Enrolled Waitlist
O 50 46 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24199 LAB 222 Th 4:00pm - 4:59pm Mulford 240 4 25/24/0
25807 LAB 222 Th 5:00pm - 5:59pm Mulford 240 4 25/22/0

2023 Spring STAT 230A 001 LEC 001 - Linear Models

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Tan 180
Course Units
4
Course number
230A
Course description

Theory of least squares estimation, interval estimation, and tests under the general linear fixed effects model with normally distributed errors. Large sample theory for non-normal linear models. Two and higher way layouts, residual analysis. Effects of departures from the underlying assumptions. Robust alternatives to least squares.

Instructor(s)
Samuel David Pimentel
Status Limit Enrolled Waitlist
O 50 47 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
25136 LAB 230 Fr 3:00pm - 4:59pm Evans 344 4 25/23/1
23326 LAB 230 Fr 12:00pm - 1:59pm Evans 344 4 25/24/3

2023 Spring STAT 232 001 LEC 001 - Experimental Design

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Etcheverry 3106
Course Units
4
Course number
232
Course description

This course will review the statistical foundations of randomized experiments and study principles for addressing common setbacks in experimental design and analysis in practice. We will cover the notion of potential outcomes for causal inference and the Fisherian principles for experimentation (randomization, blocking, and replications). We will also cover experiments with complex structures (clustering in units, factorial design, hierarchy in treatments, sequential assignment, etc). We will also address practical complications in experiments, including noncompliance, missing data, and measurement error.

Instructor(s)
Peng Ding
Status Limit Enrolled Waitlist
O 35 29 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33444 LAB 232 We 12:00pm - 1:59pm Evans 344 4 18/16/0
27281 LAB 232 We 9:00am - 10:59am Evans 344 4 18/13/0

2023 Spring STAT 240 001 LEC 001 - Nonparametric and Robust Methods

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 342
Course Units
4
Course number
240
Course description

Standard nonparametric tests and confidence intervals for continuous and categorical data; nonparametric estimation of quantiles; robust estimation of location and scale parameters. Efficiency comparison with the classical procedures.

Instructor(s)
Philip Stark
Status Limit Enrolled Waitlist
O 20 15 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32932 LAB 240 We 1:00pm - 2:59pm Evans 334 4 20/15/0

2023 Spring STAT C241B 001 LEC 001 - Advanced Topics in Learning and Decision Making

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Tan 180
Course Units
4
Course number
C241B
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Instructor(s)
Ryan Tibshirani
Status Limit Enrolled Waitlist
O 50 48 1

2023 Spring STAT 254 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 11:00am - 12:29pm
Course Location
Etcheverry 3106
Course Units
4
Course number
254
Course description

This course is about statistical learning methods and their use for data analysis. Upon completion, students will be able to build baseline models for real world data analysis problems, implement models using programming languages and draw conclusions from models. The course will cover principled statistical methodology for basic machine learning tasks such as regression, classification, dimension reduction and clustering. Methods discussed will include linear regression, subset selection, ridge regression, LASSO, logistic regression, kernel smoothing methods, tree based methods, bagging and boosting, neural networks, Bayesian methods, as well as inference techniques based on resampling, cross validation and sample splitting.

Instructor(s)
Nikita Kirillovich Zhivotovskii
Status Limit Enrolled Waitlist
C 35 35 2
Class # Section Date And Times Location Units LIM/ENR/WAIT
33038 LAB 254 Mo 12:00pm - 1:59pm Evans 342 4 18/18/2
33039 LAB 254 Mo 3:00pm - 4:59pm Evans 342 4 17/17/0

2023 Spring STAT 259 001 LEC 001 - Reproducible and Collaborative Statistical Data Science

Course Times
Mo 2:00pm - 4:59pm
Course Location
Moffitt Library 102
Course Units
4
Course number
259
Course description

A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students will learn practical techniques and tools for producing statistically sound and appropriate, reproducible, and verifiable computational answers to scientific questions. Course emphasizes version control, testing, process automation, code review, and collaborative programming. Software tools may include Bash, Git, Python, and LaTeX.

Instructor(s)
Fernando Perez
Status Limit Enrolled Waitlist
O 12 11 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25674 LAB 259 Fr 9:00am - 10:59am Evans 340 4 3/2/0
25675 LAB 259 Fr 12:00pm - 1:59pm Evans 340 4 9/9/0

2023 Spring STAT 260 001 LEC 001 - Topics in Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Physics Building 251
Course Units
3
Course number
260
Course description

Special topics in probability and statistics offered according to student demand and faculty availability.

Instructor(s)
Jacob Noah Steinhardt
Status Limit Enrolled Waitlist
O 11 10 0

2023 Spring STAT 278B 002 SEM 002 - Statistics Research Seminar

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 332
Course Units
4
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Benjamin L Chang
Status Limit Enrolled Waitlist
O 15 4 0

2023 Spring STAT 278B 001 SEM 001 - Statistics Research Seminar

Course Times
We 4:00pm - 4:59pm
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Nikita Kirillovich Zhivotovskii
Status Limit Enrolled Waitlist
O 15 6 0

2023 Spring STAT 375 001 LEC 001 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Mo 2:00pm - 3:59pm
Course Location
Evans 332
Course number
375
Course description

Discussion, problem review and development, guidance of laboratory classes, course development, supervised practice teaching.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
O 21 18 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24635 LAB 375 21/18/0

2023 Spring STAT 375 002 LEC 002 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Mo 2:00pm - 3:59pm
Course Location
Evans 340
Course number
375
Course description

Discussion, problem review and development, guidance of laboratory classes, course development, supervised practice teaching.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
O 19 14 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27420 LAB 375 19/14/0

2022 Fall STAT 2 001 LEC 001 - Introduction to Statistics

Course Location
Internet/Online
Course Units
4
Course number
2
Course description

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.

Instructor(s)
Johnny Hong
Status Limit Enrolled Waitlist
C 448 448 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23005 LAB 2 TuTh 1:00pm - 1:59pm Evans 6 4 28/28/0
23006 LAB 2 TuTh 1:00pm - 1:59pm Evans 2 4 28/28/0
23007 LAB 2 TuTh 2:00pm - 2:59pm Evans 2 4 28/28/0
23008 LAB 2 TuTh 3:00pm - 3:59pm Evans 2 4 28/28/0
23009 LAB 2 TuTh 3:00pm - 3:59pm Evans 87 4 28/28/0
23010 LAB 2 TuTh 4:00pm - 4:59pm Evans 2 4 28/28/0
22944 LAB 2 TuTh 9:00am - 9:59am Evans 6 4 28/28/0
22945 LAB 2 TuTh 10:00am - 10:59am Evans 85 4 28/28/0
22946 LAB 2 TuTh 10:00am - 10:59am Evans 4 4 28/28/0
22947 LAB 2 TuTh 11:00am - 11:59am Evans 85 4 28/28/0
22948 LAB 2 TuTh 12:00pm - 12:59pm Evans 2 4 28/28/0
22960 LAB 2 TuTh 8:00am - 8:59am Evans 6 4 28/28/0
26670 LAB 2 TuTh 4:00pm - 4:59pm Evans 87 4 28/28/0
26671 LAB 2 TuTh 5:00pm - 5:59pm Evans 71 4 28/28/0
32571 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 28/28/0
32572 LAB 2 TuTh 2:00pm - 2:59pm Evans 332 4 28/28/0

2022 Fall STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Wheeler 150
Course Units
4
Course number
C8
Course description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Instructor(s)
Swupnil K Sahai, John S DeNero
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24963 LAB 8 4 0/0/0

2022 Fall STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 12:00pm - 12:59pm
Course Location
GSPP 150
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Iain Carmichael
Status Limit Enrolled Waitlist
C 86 87 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22961 LAB 20 WeFr 1:00pm - 1:59pm GSPP 150 4 86/87/0

2022 Fall STAT 20 004 LEC 004 - Introduction to Probability and Statistics

Course Times
MoWeFr 8:00am - 8:59am
Course Location
Davis 534
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Iain Carmichael
Status Limit Enrolled Waitlist
C 85 86 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32670 LAB 20 WeFr 9:00am - 9:59am Davis 534 4 85/86/0

2022 Fall STAT 20 005 LEC 005 - Introduction to Probability and Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 96 96 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32672 LAB 20 WeFr 11:00am - 11:59am Moffitt Library 145 4 96/96/0

2022 Fall STAT 20 006 LEC 006 - Introduction to Probability and Statistics

Course Times
MoWeFr 12:00pm - 12:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 99 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32674 LAB 20 WeFr 1:00pm - 1:59pm Moffitt Library 145 4 96/99/0

2022 Fall STAT 20 007 LEC 007 - Introduction to Probability and Statistics

Course Times
WeFr 2:00pm - 2:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 86 91 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32676 LAB 20 WeFr 3:00pm - 3:59pm Moffitt Library 145 4 86/91/0

2022 Fall STAT 20 008 LEC 008 - Introduction to Probability and Statistics

Course Times
Mo 4:00pm - 4:59pm
Course Location
McCone 141
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 97 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32678 LAB 20 WeFr 5:00pm - 5:59pm Moffitt Library 145 4 95/97/0

2022 Fall STAT 20 009 LEC 009 - Introduction to Probability and Statistics

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Wheeler 212
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 122 120 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32680 LAB 20 WeFr 10:00am - 10:59am Wheeler 212 4 122/120/0

2022 Fall STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoWeFr 8:00am - 8:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
C 96 98 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22970 LAB 20 WeFr 9:00am - 9:59am Moffitt Library 145 4 96/98/0

2022 Fall STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Mo 3:00pm - 3:59pm
Course Location
Evans 60
Course Units
1
Course number
33A
Course description

An introduction to the R statistical software for students with minimal prior experience with programming. This course prepares students for data analysis with R. The focus is on the computational model that underlies the R language with the goal of providing a foundation for coding. Topics include data types and structures, such as vectors, data frames and lists; the REPL evaluation model; function calls, argument matching, and environments; writing simple functions and control flow. Tools for reading, analyzing, and plotting data are covered, such as data input/output, reshaping data, the formula language, and graphics models.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 85 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24451 LAB 33 We 9:00am - 9:59am Evans 342 1 25/18/0
24452 LAB 33 We 10:00am - 10:59am Evans 342 1 25/21/0
24453 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/21/0
24454 LAB 33 We 3:00pm - 3:59pm Evans 342 1 25/25/0

2022 Fall STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 60
Course Units
1
Course number
33B
Course description

The course is designed primarily for those who are already familiar with programming in another language, such as python, and want to understand how R works, and for those who already know the basics of R programming and want to gain a more in-depth understanding of the language in order to improve their coding. The focus is on the underlying paradigms in R, such as functional programming, atomic vectors, complex data structures, environments, and object systems. The goal of this course is to better understand programming principles in general and to write better R code that capitalizes on the language's design.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 90 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24456 LAB 33 Fr 9:00am - 9:59am Evans 342 1 25/22/0
24780 LAB 33 Fr 10:00am - 10:59am Evans 342 1 25/25/0
26310 LAB 33 Fr 2:00pm - 2:59pm Cory 289 1 25/23/0
26311 LAB 33 Fr 3:00pm - 3:59pm Cory 289 1 25/20/0

2022 Fall STAT C102 001 LEC 001 - Data, Inference, and Decisions

Course Times
Fr 2:00pm - 4:59pm
Course Location
Lewis 100
Course Units
4
Course number
C102
Course description

This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.

Instructor(s)
Jacob Noah Steinhardt, Ramesh Sridharan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25153 LAB 102 Mo 2:00pm - 2:59pm Etcheverry 3105 4 0/0/0
26210 LAB 102 TuTh 8:00am - 9:29am Internet/Online 4 0/0/0
25034 LAB 102 Mo 9:00am - 9:59am Etcheverry 3105 4 0/0/0
25036 LAB 102 Mo 10:00am - 10:59am Evans 9 4 0/0/0
25038 LAB 102 Mo 11:00am - 11:59am Hearst Gym 242 4 0/0/0
25151 LAB 102 Mo 1:00pm - 1:59pm Moffitt Library 106 4 0/0/0
25155 LAB 102 Mo 3:00pm - 3:59pm Etcheverry 3105 4 0/0/0
25157 LAB 102 Mo 4:00pm - 4:59pm Etcheverry 3105 4 0/0/0

2022 Fall STAT C131A 001 LEC 001 - Statistical Methods for Data Science

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
Course Units
4
Course number
C131A
Course description

This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 70 70 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25655 LAB 131 MoWe 11:00am - 11:59am Evans 332 4 35/34/0
25656 LAB 131 MoWe 3:00pm - 3:59pm Evans 332 4 35/36/0

2022 Fall STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Physics Building 4
Course Units
3
Course number
133
Course description

An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 180 168 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23013 LAB 133 Th 9:00am - 10:59am Evans 340 3 30/30/0
23014 LAB 133 Th 11:00am - 12:59pm Evans 340 3 30/24/0
23015 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/28/0
23016 LAB 133 Th 1:00pm - 2:59pm Evans 342 3 30/27/0
25773 LAB 133 Th 3:00pm - 4:59pm Evans 342 3 30/29/0
25774 LAB 133 Th 3:00pm - 4:59pm Evans 340 3 30/30/0

2022 Fall STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Valley Life Sciences 2050
Course Units
4
Course number
134
Course description

An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 309 292 0

2022 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Evans 10
Course Units
4
Course number
135
Course description

A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.

Instructor(s)
Eaman Jahani
Status Limit Enrolled Waitlist
O 180 144 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23023 LAB 135 Fr 11:00am - 12:59pm Evans 332 4 30/23/0
23024 LAB 135 Fr 11:00am - 12:59pm Evans 342 4 30/26/0
22979 LAB 135 Fr 3:00pm - 4:59pm Evans 332 4 30/27/0
22980 LAB 135 Fr 3:00pm - 4:59pm Evans 340 4 30/26/0
23553 LAB 135 Fr 1:00pm - 2:59pm Evans 332 4 30/21/0
23554 LAB 135 Fr 1:00pm - 2:59pm Evans 340 4 30/21/0

2022 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Cory 277
Course Units
3
Course number
150
Course description

Random walks, discrete time Markov chains, Poisson processes. Further topics such as: continuous time Markov chains, queueing theory, point processes, branching processes, renewal theory, stationary processes, Gaussian processes.

Instructor(s)
Benson C Au
Status Limit Enrolled Waitlist
O 100 66 0

2022 Fall STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 11:00am - 12:29pm
Course Location
Physics Building 4
Course Units
4
Course number
151A
Course description

A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies.

Instructor(s)
Michael Mahoney
Status Limit Enrolled Waitlist
O 70 66 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22934 LAB 151 Fr 10:00am - 11:59am Wheeler 220 4 35/34/0
22935 LAB 151 Fr 2:00pm - 3:59pm Wheeler 200 4 35/32/0

2022 Fall STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Birge 50
Course Units
4
Course number
153
Course description

An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra.

Instructor(s)
Adityanand Guntuboyina
Status Limit Enrolled Waitlist
O 120 62 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23997 LAB 153 Fr 9:00am - 10:59am Evans 334 4 30/11/0
23998 LAB 153 Fr 11:00am - 12:59pm Evans 334 4 30/16/0
23999 LAB 153 Fr 1:00pm - 2:59pm Evans 334 4 30/16/0
24000 LAB 153 Fr 3:00pm - 4:59pm Evans 334 4 30/19/0

2022 Fall STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Etcheverry 3106
Course Units
4
Course number
154
Course description

Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions.

Instructor(s)
James Bentley Brown
Status Limit Enrolled Waitlist
O 70 48 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22918 LAB 154 Mo 10:00am - 11:59am Wheeler 220 4 35/22/0
22919 LAB 154 Mo 2:00pm - 3:59pm Wheeler 220 4 35/26/0

2022 Fall STAT 155 001 LEC 001 - Game Theory

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Physics Building 3
Course Units
3
Course number
155
Course description

General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples.

Instructor(s)
Adam R Lucas, Hyunsuk Kim
Status Limit Enrolled Waitlist
O 107 100 0

2022 Fall STAT 201A 001 LEC 001 - Introduction to Probability at an Advanced Level

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Morgan 101
Course Units
4
Course number
201A
Course description

Distributions in probability and statistics, central limit theorem, Poisson processes, modes of convergence, transformations involving random variables.

Instructor(s)
Adityanand Guntuboyina
Status Limit Enrolled Waitlist
O 70 61 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22927 LAB 201 Mo 11:00am - 12:59pm Evans 344 4 35/33/0
22928 LAB 201 Mo 1:00pm - 2:59pm Evans 344 4 35/28/0
26716 LAB 201 Mo 3:00pm - 4:59pm Evans 344 4 0/0/0

2022 Fall STAT 201B 001 LEC 001 - Introduction to Statistics at an Advanced Level

Course Times
TuTh 11:00am - 12:29pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
4
Course number
201B
Course description

Estimation, confidence intervals, hypothesis testing, linear models, large sample theory, categorical models, decision theory.

Instructor(s)
Giles Hooker
Status Limit Enrolled Waitlist
O 70 64 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22931 LAB 201 We 1:00pm - 2:59pm Evans 344 4 34/30/0
26717 LAB 201 We 1:00pm - 2:59pm Evans 340 4 0/0/2
22930 LAB 201 We 11:00am - 12:59pm Evans 344 4 36/34/0

2022 Fall STAT C205A 001 LEC 001 - Probability Theory

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 344
Course Units
4
Course number
C205A
Course description

The course is designed as a sequence with Statistics C205B/Mathematics C218B with the following combined syllabus. Measure theory concepts needed for probability. Expection, distributions. Laws of large numbers and central limit theorems for independent random variables. Characteristic function methods. Conditional expectations, martingales and martingale convergence theorems. Markov chains. Stationary processes. Brownian motion.

Instructor(s)
Shirshendu Ganguly, Mriganka Basu Roy Chowdhury
Status Limit Enrolled Waitlist
O 20 11 0

2022 Fall STAT 210A 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 9:30am - 10:59am
Course Location
Evans 60
Course Units
4
Course number
210A
Course description

An introduction to mathematical statistics, covering both frequentist and Bayesian aspects of modeling, inference, and decision-making. Topics include statistical decision theory; point estimation; minimax and admissibility; Bayesian methods; exponential families; hypothesis testing; confidence intervals; small and large sample theory; and M-estimation.

Instructor(s)
Song Mei
Status Limit Enrolled Waitlist
O 61 54 0

2022 Fall STAT 215A 001 LEC 001 - Statistical Models: Theory and Application

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Dwinelle 219
Course Units
4
Course number
215A
Course description

Applied statistics with a focus on critical thinking, reasoning skills, and techniques. Hands-on-experience with solving real data problems with high-level programming languages such as R. Emphasis on examining the assumptions behind standard statistical models and methods. Exploratory data analysis (e.g., graphical data summaries, PCAs, clustering analysis). Model formulation, fitting, and validation and testing. Linear regression and generalizations (e.g., GLMs, ridge regression, lasso).

Instructor(s)
Bin Yu
Status Limit Enrolled Waitlist
O 30 22 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22968 LAB 215 Fr 9:00am - 10:59am Evans 344 4 30/22/0

2022 Fall STAT 243 001 LEC 001 - Introduction to Statistical Computing

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Evans 60
Course Units
4
Course number
243
Course description

Concepts in statistical programming and statistical computation, including programming principles, data and text manipulation, parallel processing, simulation, numerical linear algebra, and optimization.

Instructor(s)
Christopher Paciorek
Status Limit Enrolled Waitlist
O 70 59 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23035 LAB 243 Fr 1:00pm - 2:59pm Evans 344 4 35/33/0
23036 LAB 243 Fr 3:00pm - 4:59pm Evans 344 4 35/26/0

2022 Fall STAT C245B 001 LEC 001 - Principles & Techniques of Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Berkeley Way West 1205
Course Units
4
Course number
C245B
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Instructor(s)
Mark van der Laan
Status Limit Enrolled Waitlist
O 10 2 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24382 LAB 245 We 12:00pm - 1:59pm Berkeley Way West 1205 4 10/2/0

2022 Fall STAT 272 001 SES 001 - Statistical Consulting

Course Times
We 9:00am - 10:59am
Course Location
Evans 443
Course Units
3
Course number
272
Course description

To be taken concurrently with service as a consultant in the department's drop-in consulting service. Participants will work on problems arising in the service and will discuss general ways of handling such problems. There will be working sessions with researchers in substantive fields and occasional lectures on consulting.

Instructor(s)
Philip Stark
Status Limit Enrolled Waitlist
O 12 8 0

2022 Fall STAT 278B 001 SEM 001 - Statistics Research Seminar

Course Times
We 4:00pm - 4:59pm
Course Location
Evans 1011
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Song Mei, Nikita Kirillovich Zhivotovskiy
Status Limit Enrolled Waitlist
O 35 12 0

2022 Fall STAT 278B 002 SEM 002 - Statistics Research Seminar

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 340
Course Units
4
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Alan Hammond
Status Limit Enrolled Waitlist
O 10 7 0

2022 Fall STAT 375 002 LEC 002 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Mo 2:00pm - 3:59pm
Course Location
Evans 340
Course number
375
Course description

Discussion, problem review and development, guidance of laboratory classes, course development, supervised practice teaching.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
C 30 31 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26793 LAB 375 30/31/0

2022 Fall STAT 375 001 LEC 001 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Mo 2:00pm - 3:59pm
Course Location
Evans 330
Course Units
4
Course number
375
Course description

Discussion, problem review and development, guidance of laboratory classes, course development, supervised practice teaching.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
O 30 10 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23179 LAB 375 30/10/0

2022 Summer STAT 2 001 LEC 001 - Introduction to Statistics

Course Location
Internet/Online
Course Units
4
Course number
2
Course description

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.

Status Limit Enrolled Waitlist
O 75 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13649 LAB 2 TuTh 9:00am - 10:59am Internet/Online 4 25/0/0
13650 LAB 2 TuTh 12:30pm - 1:29pm Evans 344 4 25/0/0
15440 LAB 2 TuTh 12:00am - 12:00am 4 0/0/0

2022 Summer STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoTuWeThFr 10:00am - 10:59am
Course Location
Dwinelle 155
Course Units
4
Course number
C8
Course description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13845 LAB 8 MoWe 5:00pm - 6:59pm Hearst Field Annex B5 4 0/0/0
13846 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3105 4 0/0/0
13842 LAB 8 MoWe 3:00pm - 4:59pm Mulford 230 4 0/0/0
13843 LAB 8 MoWe 3:00pm - 4:59pm Dwinelle 105 4 0/0/0
13844 LAB 8 MoWe 3:00pm - 4:59pm Dwinelle 247 4 0/0/0
13673 LAB 8 MoWe 11:00am - 12:59pm Mulford 230 4 0/0/0
13674 LAB 8 MoWe 11:00am - 12:59pm Social Sciences Building 118 4 0/0/0
13689 LAB 8 MoWe 11:00am - 12:59pm Requested General Assignment 4 0/0/0
13690 LAB 8 MoWe 11:00am - 12:59pm Requested General Assignment 4 0/0/0
13691 LAB 8 MoWe 1:00pm - 2:59pm Social Sciences Building 118 4 0/0/0
13692 LAB 8 MoWe 1:00pm - 2:59pm Mulford 230 4 0/0/0
13697 LAB 8 MoWe 1:00pm - 2:59pm Social Sciences Building 122 4 0/0/0
13698 LAB 8 MoWe 1:00pm - 2:59pm Requested General Assignment 4 0/0/0
13707 LAB 8 MoWe 1:00pm - 2:59pm Requested General Assignment 4 0/0/0
13708 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3113 4 0/0/0
13925 LAB 8 MoWe 5:00pm - 6:59pm Dwinelle 242 4 0/0/0
13926 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3113 4 0/0/0
13927 LAB 8 4 0/0/0

2022 Summer STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoTuWeTh 11:00am - 12:29pm
Course Location
Hearst Mining 390
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Status Limit Enrolled Waitlist
O 90 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13652 LAB 20 MoWeTh 1:00pm - 1:59pm Evans 340 4 25/0/0
13653 LAB 20 MoWeTh 2:00pm - 2:59pm Evans 340 4 25/0/0
13979 LAB 20 MoWeTh 4:00pm - 4:59pm 4 25/0/0

2022 Summer STAT C100 001 LEC 001 - Principles & Techniques of Data Science

Course Times
MoTuWeTh 11:00am - 12:29pm
Course Location
Dwinelle 155
Course Units
4
Course number
C100
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13767 LAB 100 TuTh 4:00pm - 4:59pm Dwinelle 179 4 0/0/0
13769 LAB 100 TuTh 4:00pm - 4:59pm Social Sciences Building 122 4 0/0/0
13771 LAB 100 TuTh 4:00pm - 4:59pm Social Sciences Building 110 4 0/0/0
13772 LAB 100 TuTh 1:00pm - 1:59pm Social Sciences Building 110 4 0/0/0
13774 LAB 100 TuTh 2:00pm - 2:59pm Social Sciences Building 110 4 0/0/0
13790 LAB 100 4 0/0/0
13932 LAB 100 4 0/0/0

2022 Summer STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoTuWeTh 1:00pm - 2:29pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
4
Course number
134
Course description

An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.

Status Limit Enrolled Waitlist
O 100 0 0

2022 Summer STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
TuWeTh 1:00pm - 2:59pm
Course Location
Evans 60
Course Units
4
Course number
135
Course description

A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.

Status Limit Enrolled Waitlist
O 60 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
13661 LAB 135 TuWe 3:30pm - 5:29pm Evans 330 4 30/0/0
13662 LAB 135 WeTh 10:00am - 11:59am 4 30/0/0

2022 Spring STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Wheeler 150
Course Units
4
Course number
C8
Course description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Instructor(s)
John S DeNero, Swupnil K Sahai
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26433 LAB 8 We 4:00pm - 5:59pm Evans 340 4 0/0/0
26434 LAB 8 We 4:00pm - 5:59pm Evans 340 4 0/0/0
26423 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
26424 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
26425 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
26426 LAB 8 We 12:00pm - 1:59pm 4 0/0/0
26427 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
26428 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
26429 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
26430 LAB 8 We 2:00pm - 3:59pm 4 0/0/0
26431 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
26432 LAB 8 We 4:00pm - 5:59pm 4 0/0/0
26435 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
26436 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
26437 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
26438 LAB 8 We 6:00pm - 7:59pm 4 0/0/0
26439 LAB 8 Th 8:00am - 9:59am 4 0/0/0
26440 LAB 8 Th 8:00am - 9:59am 4 0/0/0
26441 LAB 8 Th 8:00am - 9:59am 4 0/0/0
26442 LAB 8 Th 8:00am - 9:59am 4 0/0/0
26831 LAB 8 Th 10:00am - 11:59am 4 0/0/0
26832 LAB 8 Th 10:00am - 11:59am 4 0/0/0
26833 LAB 8 Th 10:00am - 11:59am 4 0/0/0
26834 LAB 8 Th 10:00am - 11:59am 4 0/0/0
27048 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
27090 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
27092 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
27093 LAB 8 Th 12:00pm - 1:59pm 4 0/0/0
27094 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
27095 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
27096 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
27097 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
27287 LAB 8 Th 4:00pm - 5:59pm 4 0/0/0
27288 LAB 8 Th 4:00pm - 5:59pm 4 0/0/0
27289 LAB 8 Th 4:00pm - 5:59pm 4 0/0/0
27290 LAB 8 Th 4:00pm - 5:59pm 4 0/0/0
27291 LAB 8 Th 6:00pm - 7:59pm 4 0/0/0
27292 LAB 8 Th 6:00pm - 7:59pm 4 0/0/0
27322 LAB 8 Th 6:00pm - 7:59pm 4 0/0/0
27703 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
27704 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
27705 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
27798 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
27799 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
27800 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
27801 LAB 8 Th 2:00pm - 3:59pm 4 0/0/0
27802 LAB 8 Fr 8:00am - 9:59am 4 0/0/0
27803 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
27804 LAB 8 Fr 2:00pm - 3:59pm 4 0/0/0
27805 LAB 8 Fr 12:00pm - 1:59pm 4 0/0/0
28325 LAB 8 4 0/0/0

2022 Spring STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Pimentel 1
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
C 107 103 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26224 LAB 20 TuTh 8:00am - 8:59am Evans 330 4 28/22/0
26231 LAB 20 TuTh 10:00am - 10:59am Evans 334 4 28/27/0
30867 LAB 20 TuTh 2:00pm - 2:59pm Evans 334 4 28/26/0
30872 LAB 20 TuTh 4:00pm - 4:59pm Evans 330 4 28/28/0

2022 Spring STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Pimentel 1
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
O 262 256 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32813 LAB 20 TuTh 8:00am - 8:59am Evans 334 4 28/24/0
32814 LAB 20 TuTh 9:00am - 9:59am Evans 330 4 0/0/0
32815 LAB 20 TuTh 9:00am - 9:59am Evans 332 4 28/27/0
32817 LAB 20 TuTh 10:00am - 10:59am Evans 332 4 28/26/0
32818 LAB 20 TuTh 11:00am - 11:59am Evans 330 4 28/27/0
32819 LAB 20 TuTh 12:00pm - 12:59pm Evans 330 4 28/24/0
32820 LAB 20 TuTh 12:00pm - 12:59pm Evans 332 4 0/0/0
32821 LAB 20 TuTh 1:00pm - 1:59pm Evans 332 4 28/28/0
32822 LAB 20 TuTh 2:00pm - 2:59pm Evans 332 4 28/23/0
32823 LAB 20 TuTh 3:00pm - 3:59pm Evans 332 4 28/28/0
32824 LAB 20 TuTh 5:00pm - 5:59pm Evans 330 4 28/22/0
32825 LAB 20 TuTh 1:00pm - 1:59pm Evans 332 4 25/0/0
32826 LAB 20 TuTh 1:00pm - 1:59pm Evans 330 4 25/0/0
32827 LAB 20 TuTh 1:00pm - 1:59pm Evans 334 4 25/0/0
32828 LAB 20 TuTh 2:00pm - 2:59pm Evans 330 4 25/0/0
32829 LAB 20 TuTh 2:00pm - 2:59pm Evans 332 4 25/0/0
32830 LAB 20 TuTh 3:00pm - 3:59pm Evans 330 4 25/0/0
32831 LAB 20 TuTh 3:00pm - 3:59pm Evans 332 4 25/0/0
32832 LAB 20 TuTh 4:00pm - 4:59pm Evans 332 4 25/0/0
32833 LAB 20 TuTh 5:00pm - 5:59pm Evans 330 4 25/0/0
32834 LAB 20 TuTh 5:00pm - 5:59pm Evans 332 4 25/0/0
32816 LAB 20 TuTh 10:00am - 10:59am Evans 330 4 28/27/0

2022 Spring STAT 20 003 LEC 003 - Introduction to Probability and Statistics

Course Times
MoWeFr 3:00pm - 3:59pm
Course Location
Internet/Online
Course Units
4
Course number
20
Course description

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Instructor(s)
Andrew Paul Bray
Status Limit Enrolled Waitlist
C 254 245 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33330 LAB 20 TuTh 9:00am - 9:59am Evans 344 4 28/24/0
33331 LAB 20 TuTh 9:00am - 9:59am Evans 334 4 28/22/0
33332 LAB 20 TuTh 10:00am - 10:59am Evans 344 4 28/25/0
33333 LAB 20 TuTh 11:00am - 11:59am Evans 332 4 28/28/0
33334 LAB 20 TuTh 11:00am - 11:59am Evans 334 4 28/22/0
33335 LAB 20 TuTh 12:00pm - 12:59pm Evans 334 4 28/25/0
33337 LAB 20 TuTh 1:00pm - 1:59pm Evans 334 4 28/28/0
33338 LAB 20 TuTh 4:00pm - 4:59pm Evans 332 4 28/24/0
33339 LAB 20 TuTh 5:00pm - 5:59pm Evans 342 4 28/23/0
33336 LAB 20 TuTh 1:00pm - 1:59pm Evans 330 4 28/24/0

2022 Spring STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Fr 9:00am - 9:59am
Course Location
Birge 50
Course Units
1
Course number
33A
Course description

An introduction to the R statistical software for students with minimal prior experience with programming. This course prepares students for data analysis with R. The focus is on the computational model that underlies the R language with the goal of providing a foundation for coding. Topics include data types and structures, such as vectors, data frames and lists; the REPL evaluation model; function calls, argument matching, and environments; writing simple functions and control flow. Tools for reading, analyzing, and plotting data are covered, such as data input/output, reshaping data, the formula language, and graphics models.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 84 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
28105 LAB 33 We 11:00am - 11:59am Evans 342 1 25/18/0
28106 LAB 33 We 10:00am - 10:59am Evans 342 1 25/23/0
28107 LAB 33 We 1:00pm - 1:59pm Evans 342 1 25/21/0
28108 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/22/0

2022 Spring STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
We 2:00pm - 2:59pm
Course Location
Valley Life Sciences 2060
Course Units
1
Course number
33B
Course description

The course is designed primarily for those who are already familiar with programming in another language, such as python, and want to understand how R works, and for those who already know the basics of R programming and want to gain a more in-depth understanding of the language in order to improve their coding. The focus is on the underlying paradigms in R, such as functional programming, atomic vectors, complex data structures, environments, and object systems. The goal of this course is to better understand programming principles in general and to write better R code that capitalizes on the language's design.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 80 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
28110 LAB 33 Fr 11:00am - 11:59am Evans 340 1 25/19/0
29509 LAB 33 Fr 10:00am - 10:59am Evans 340 1 25/21/0
29693 LAB 33 Fr 2:00pm - 2:59pm Evans 340 1 25/23/0
30755 LAB 33 Fr 3:00pm - 3:59pm Evans 340 1 25/17/0

2022 Spring STAT 88 001 LEC 001 - Probability and Mathematical Statistics in Data Science

Course Times
TuTh 6:30pm - 7:59pm
Course Location
Valley Life Sciences 2050
Course Units
3
Course number
88
Course description

In this connector course we will state precisely and prove results discovered while exploring data in Data 8. 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.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 250 209 0

2022 Spring STAT 89A 001 LEC 001 - Linear Algebra for Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
GSPP 150
Course Units
4
Course number
89A
Course description

An introduction to linear algebra for data science. The course will cover introductory topics in linear algebra, starting with the basics; discrete probability and how prob- ability can be used to understand high-dimensional vector spaces; matrices and graphs as popular mathematical structures with which to model data (e.g., as models for term-document corpora, high-dimensional regression problems, ranking/classification of web data, adjacency properties of social network data, etc.); and geometric approaches to eigendecompositions, least-squares, principal components analysis, etc.

Instructor(s)
Michael Mahoney
Status Limit Enrolled Waitlist
O 50 37 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27306 LAB 89 Mo 8:00am - 9:59am Evans 87 4 25/14/0
27307 LAB 89 Mo 10:00am - 11:59am Hildebrand B56 4 25/23/0

2022 Spring STAT C100 001 LEC 001 - Principles & Techniques of Data Science

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Li Ka Shing 245
Course Units
4
Course number
C100
Course description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Instructor(s)
Joshua A Hug, Lisa Yan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26818 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
26819 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
26820 LAB 100 We 10:00am - 10:59am 4 0/0/0
27073 LAB 100 We 11:00am - 11:59am 4 0/0/0
27074 LAB 100 We 11:00am - 11:59am 4 0/0/0
27075 LAB 100 Tu 11:00am - 11:59am 4 0/0/0
27076 LAB 100 Tu 11:00am - 11:59am 4 0/0/0
27078 LAB 100 Tu 11:00am - 11:59am 4 0/0/0
27079 LAB 100 Tu 12:00pm - 12:59pm 4 0/0/0
27080 LAB 100 Tu 12:00pm - 12:59pm 4 0/0/0
27081 LAB 100 Tu 12:00pm - 12:59pm 4 0/0/0
27082 LAB 100 Tu 12:00pm - 12:59pm 4 0/0/0
27083 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
27084 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
27085 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
27086 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
27087 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
27088 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
27089 LAB 100 4 0/0/0
26821 LAB 100 We 10:00am - 10:59am 4 0/0/0
27735 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
27737 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
27739 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
27741 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
27743 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
27745 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
27747 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
27855 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
28365 LAB 100 We 9:00am - 9:59am 4 0/0/0
28367 LAB 100 We 10:00am - 10:59am 4 0/0/0
28369 LAB 100 We 11:00am - 11:59am 4 0/0/0
28371 LAB 100 We 9:00am - 9:59am 4 0/0/0
28373 LAB 100 Tu 5:00pm - 5:59pm 4 0/0/0
28375 LAB 100 Tu 6:00pm - 6:59pm 4 0/0/0
28377 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
28379 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
28381 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
28383 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
28385 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
28387 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
28389 LAB 100 We 8:00pm - 8:59pm 4 0/0/0