Courses

2024 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)
Adam R Lucas
Status Limit Enrolled Waitlist
C 448 467 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19121 LAB 2 TuTh 9:00am - 9:59am Evans 332 4 29/29/0
19122 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 28/28/0
19123 LAB 2 TuTh 10:00am - 10:59am Evans 334 4 29/28/0
19124 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 30/30/0
19125 LAB 2 TuTh 11:00am - 11:59am Evans 334 4 31/31/0
19126 LAB 2 TuTh 12:00pm - 12:59pm Evans 332 4 31/29/0
19127 LAB 2 TuTh 12:00pm - 12:59pm Evans 334 4 30/29/0
19128 LAB 2 TuTh 1:00pm - 1:59pm Evans 332 4 30/30/0
21539 LAB 2 TuTh 1:00pm - 1:59pm Evans 334 4 29/29/0
21540 LAB 2 TuTh 2:00pm - 2:59pm Evans 332 4 30/30/0
21541 LAB 2 TuTh 2:00pm - 2:59pm Evans 334 4 30/30/0
21542 LAB 2 TuTh 3:00pm - 3:59pm Evans 332 4 28/28/0
21543 LAB 2 TuTh 3:00pm - 3:59pm Evans 334 4 30/29/0
21818 LAB 2 TuTh 4:00pm - 4:59pm Evans 332 4 29/28/0
22748 LAB 2 TuTh 4:00pm - 4:59pm Evans 334 4 29/29/0
22749 LAB 2 TuTh 5:00pm - 5:59pm Evans 332 4 31/30/0

2024 Spring STAT 20 007 LEC 007 - Introduction to Probability and Statistics

Course Times
MoTuTh 3:00pm - 3:59pm
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)
Andrew Bray
Status Limit Enrolled Waitlist
C 96 93 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22449 LAB 20 TuTh 4:00pm - 4:59pm Moffitt Library 145 4 96/93/0

2024 Spring STAT 20 008 LEC 008 - Introduction to Probability and Statistics

Course Times
MoWeFr 4:00pm - 4:59pm
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)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 90 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22450 LAB 20 WeFr 5:00pm - 5:59pm Moffitt Library 145 4 96/90/0

2024 Spring STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
MoTuTh 9:00am - 9:59am
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)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 99 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19130 LAB 20 TuTh 10:00am - 10:59am Moffitt Library 145 4 96/99/0

2024 Spring STAT 20 002 LEC 002 - 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)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 94 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21882 LAB 20 WeFr 11:00am - 11:59am Moffitt Library 145 4 96/94/0

2024 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)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 95 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22446 LAB 20 WeFr 1:00pm - 1:59pm Moffitt Library 145 4 96/95/0

2024 Spring STAT 20 005 LEC 005 - Introduction to Probability and Statistics

Course Times
MoTuTh 1:00pm - 1:59pm
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 95 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22447 LAB 20 TuTh 2:00pm - 2:59pm Moffitt Library 145 4 96/95/0

2024 Spring STAT 20 003 LEC 003 - Introduction to Probability and Statistics

Course Times
MoTuTh 11:00am - 11:59am
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)
Sam Pimentel
Status Limit Enrolled Waitlist
C 96 96 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21931 LAB 20 TuTh 12:00pm - 12:59pm Moffitt Library 145 4 96/96/0

2024 Spring STAT 20 006 LEC 006 - 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)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 96 95 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22448 LAB 20 WeFr 3:00pm - 3:59pm Moffitt Library 145 4 96/95/0

2024 Spring STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Mo 1:00pm - 1:59pm
Course Location
Anthro/Art Practice Bldg 160
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 79 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
20424 LAB 33 We 10:00am - 10:59am Evans 342 1 25/20/0
20425 LAB 33 We 9:00am - 9:59am Evans 342 1 25/18/0
20426 LAB 33 We 1:00pm - 1:59pm Evans 342 1 25/24/0
20427 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/17/0

2024 Spring STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
We 2:00pm - 2:59pm
Course Location
Cory 277
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 96 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
20429 LAB 33 Mo 10:00am - 10:59am Evans 342 1 25/21/0
21089 LAB 33 Mo 9:00am - 9:59am Evans 342 1 25/24/0
21142 LAB 33 Mo 12:00pm - 12:59pm Evans 342 1 25/25/0
21544 LAB 33 Mo 1:00pm - 1:59pm Evans 342 1 25/26/0

2024 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)
Joseph E. Gonzalez, Narges Norouzi
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19775 LAB 100 MoWeFr 11:00am - 11:59am Physics Building 251 4 0/0/0
19776 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
19777 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
19557 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
19558 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
19559 LAB 100 We 10:00am - 10:59am 4 0/0/0
19560 LAB 100 We 10:00am - 10:59am 4 0/0/0
19766 LAB 100 We 11:00am - 11:59am 4 0/0/0
19767 LAB 100 We 11:00am - 11:59am 4 0/0/0
19768 LAB 100 4 0/0/0
19769 LAB 100 4 0/0/0
19770 LAB 100 4 1/0/0
19771 LAB 100 4 0/0/0
19772 LAB 100 4 0/0/0
19773 LAB 100 4 0/0/0
19774 LAB 100 4 0/0/0
19778 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
19779 LAB 100 Tu 1:00pm - 1:59pm 4 0/0/0
19780 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
19781 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
19782 LAB 100 4 0/0/0
20194 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
20196 LAB 100 Tu 2:00pm - 2:59pm 4 0/0/0
20198 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
20200 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
20202 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
20204 LAB 100 Tu 3:00pm - 3:59pm 4 0/0/0
20206 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
20284 LAB 100 Tu 4:00pm - 4:59pm 4 0/0/0
20577 LAB 100 We 9:00am - 9:59am 4 0/0/0
20579 LAB 100 We 10:00am - 10:59am 4 0/0/0
20581 LAB 100 We 11:00am - 11:59am 4 0/0/0
20583 LAB 100 We 9:00am - 9:59am 4 0/0/0
20585 LAB 100 Tu 5:00pm - 5:59pm 4 0/0/0
20587 LAB 100 Tu 6:00pm - 6:59pm 4 0/0/0
20589 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
20591 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
20593 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
20595 LAB 100 Tu 7:00pm - 7:59pm 4 0/0/0
20597 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
20599 LAB 100 We 8:00pm - 8:59pm 4 0/0/0
20601 LAB 100 We 8:00pm - 8:59pm 4 0/0/0

2024 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)
Ramesh Sridharan, Alexander Strang
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
20880 LAB 102 4 0/0/0

2024 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 194 193 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19133 LAB 133 Th 9:00am - 10:59am Evans 340 3 31/32/0
19134 LAB 133 Th 9:00am - 10:59am Evans 342 3 31/31/0
19135 LAB 133 Th 11:00am - 12:59pm Evans 340 3 32/32/0
19136 LAB 133 Th 11:00am - 12:59pm Evans 342 3 32/29/0
19137 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 35/35/0
19138 LAB 133 Th 4:00pm - 5:59pm Evans 330 3 34/34/0

2024 Spring STAT 134 001 LEC 001 - Concepts of Probability

Course Times
TuTh 6:30pm - 7:59pm
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)
Vadim Gorin
Status Limit Enrolled Waitlist
O 420 415 0

2024 Spring STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Valley Life Sciences 2040
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 141 125 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19151 LAB 135 Fr 12:00pm - 1:59pm Evans 344 4 35/35/0
19152 LAB 135 Fr 12:00pm - 1:59pm Evans 342 4 35/26/0
19153 LAB 135 Fr 2:00pm - 3:59pm Evans 344 4 36/34/0
19154 LAB 135 Fr 3:00pm - 4:59pm Evans 342 4 35/30/0

2024 Spring STAT C140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Valley Life Sciences 2050
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)
Ani Adhikari
Status Limit Enrolled Waitlist
C 0 0 0

2024 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, Ella Veronika Hiesmayr
Status Limit Enrolled Waitlist
O 114 90 0

2024 Spring STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 9:30am - 10:59am
Course Location
Etcheverry 3108
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)
Ryan Giordano
Status Limit Enrolled Waitlist
O 70 53 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22574 LAB 151 We 9:00am - 10:59am Evans 334 4 35/29/0
22575 LAB 151 We 1:00pm - 2:59pm Evans 334 4 35/24/0

2024 Spring STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Stanley 106
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)
Alice Cima
Status Limit Enrolled Waitlist
C 70 78 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19158 LAB 153 Fr 12:00pm - 1:59pm Evans 334 4 35/39/0
19159 LAB 153 Fr 3:00pm - 4:59pm Evans 334 4 35/39/0

2024 Spring STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
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)
Song Mei
Status Limit Enrolled Waitlist
C 61 62 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19161 LAB 154 Mo 12:00pm - 1:59pm Evans 334 4 31/30/0
20168 LAB 154 Mo 3:00pm - 4:59pm Evans 334 4 31/32/0

2024 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
Status Limit Enrolled Waitlist
O 100 81 0

2024 Spring STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Evans 340
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)
Alexander Strang
Status Limit Enrolled Waitlist
C 30 30 0

2024 Spring STAT 165 001 LEC 001 - Forecasting

Course Times
MoWe 4:00pm - 4:59pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
3
Course number
165
Course description

Forecasting has been used to predict elections, climate change, and the spread of COVID-19. Poor forecasts led to the 2008 financial crisis. In our daily lives, good forecasting ability can help us plan our work, be on time to events, and make informed career decisions. This practically-oriented class will provide students with tools to make good forecasts, including Fermi estimates, calibration training, base rates, scope sensitivity, and power laws.

Instructor(s)
Jacob Noah Steinhardt, Matthew Dworkin, Rahul Shah
Status Limit Enrolled Waitlist
C 101 101 0

2024 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)
Joseph E. Gonzalez, Narges Norouzi
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26043 LAB 200 4 0/0/0

2024 Spring STAT C205B 001 LEC 001 - Probability Theory

Course Times
TuTh 3:30pm - 4:59pm
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, Mriganka Basu Roy Chowdhury
Status Limit Enrolled Waitlist
O 15 7 0

2024 Spring STAT C206B 001 LEC 001 - Advanced Topics in Probability and Stochastic Processes

Course Times
TuTh 9:30am - 10:59am
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)
Steven N Evans, Mriganka Basu Roy Chowdhury
Status Limit Enrolled Waitlist
O 15 7 0

2024 Spring STAT 210B 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 11:00am - 12:29pm
Course Location
Anthro/Art Practice Bldg 155
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)
Nikita Zhivotovskiy, Drew Thanh Nguyen
Status Limit Enrolled Waitlist
O 45 36 0

2024 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
C 20 20 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25939 LAB 215 Fr 9:00am - 10:59am Evans 332 4 20/20/0

2024 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)
Thomas NG Bengtsson, Libor Pospisil
Status Limit Enrolled Waitlist
O 48 43 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25999 LAB 222 Th 4:00pm - 4:59pm Social Sciences Building 166 4 24/23/0
26134 LAB 222 Th 5:00pm - 5:59pm Social Sciences Building 166 4 24/20/0

2024 Spring STAT 230A 001 LEC 001 - Linear Models

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Wurster 102
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)
Peng Ding
Status Limit Enrolled Waitlist
O 48 46 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26096 LAB 230 Th 1:00pm - 2:59pm Evans 330 4 27/27/0
25942 LAB 230 Th 9:00am - 10:59am Evans 330 4 21/19/0

2024 Spring STAT 254 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
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)
Song Mei
Status Limit Enrolled Waitlist
O 18 15 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26443 LAB 254 Mo 12:00pm - 1:59pm Evans 334 4 9/8/0
26444 LAB 254 Mo 3:00pm - 4:59pm Evans 334 4 9/7/0

2024 Spring STAT 260 001 LEC 001 - Topics in Probability and Statistics

Course Times
Tu 11:00am - 1:59pm
Course Location
Evans 344
Course Units
3
Course number
260
Course description

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

Instructor(s)
Vadim Gorin
Status Limit Enrolled Waitlist
O 25 10 0

2024 Spring STAT 265 001 LEC 001 - Forecasting

Course Times
MoWe 4:00pm - 4:59pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
3
Course number
265
Course description

Forecasting has been used to predict elections, climate change, and the spread of COVID-19. Poor forecasts led to the 2008 financial crisis. In our daily lives, good forecasting ability can help us plan our work, be on time to events, and make informed career decisions. This practically-oriented class will provide students with tools to make good forecasts, including Fermi estimates, calibration training, base rates, scope sensitivity, and power laws.

Instructor(s)
Jacob Noah Steinhardt, Matthew Dworkin, Rahul Shah
Status Limit Enrolled Waitlist
O 8 7 0

2024 Spring 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)
James Bentley Brown
Status Limit Enrolled Waitlist
O 12 2 0

2024 Spring STAT 278B 001 SEM 001 - Statistics Research Seminar

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

Special topics, by means of lectures and informational conferences.

Instructor(s)
Ryan Giordano
Status Limit Enrolled Waitlist
O 21 20 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25945 LAB 200 Internet/Online 4 0/0/0

2024 Spring STAT 278B 002 SEM 002 - Statistics Research Seminar

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 334
Course Units
4
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Benson C Au
Status Limit Enrolled Waitlist
O 15 10 0

2024 Spring STAT 375 001 LEC 001 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Mo 9:00am - 10:59am
Course Location
Evans 334
Course number
375
Course description

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

Instructor(s)
Andrew Bray
Status Limit Enrolled Waitlist
O 20 16 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26056 LAB 375 Evans 334 21/16/0

2023 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. Interval estimation. Some standard significance tests.

Instructor(s)
Eaman Jahani
Status Limit Enrolled Waitlist
O 454 453 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22953 LAB 2 TuTh 9:00am - 9:59am Evans 334 4 28/27/0
22954 LAB 2 TuTh 10:00am - 10:59am Evans 334 4 28/28/0
22955 LAB 2 TuTh 11:00am - 11:59am Evans 334 4 29/29/0
22992 LAB 2 TuTh 11:00am - 11:59am Evans 344 4 28/28/0
22993 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 28/28/0
22994 LAB 2 TuTh 12:00pm - 12:59pm Evans 344 4 28/28/0
25760 LAB 2 TuTh 4:00pm - 4:59pm Evans 344 4 28/28/0
25761 LAB 2 TuTh 5:00pm - 5:59pm Evans 344 4 29/29/0
26744 LAB 2 TuTh 4:00pm - 4:59pm Evans 332 4 28/28/0
26745 LAB 2 TuTh 5:00pm - 5:59pm Evans 332 4 29/29/0
22995 LAB 2 TuTh 1:00pm - 1:59pm Evans 344 4 29/29/0
22996 LAB 2 TuTh 2:00pm - 2:59pm Evans 344 4 28/27/0
22997 LAB 2 TuTh 3:00pm - 3:59pm Evans 344 4 28/28/0
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
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
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 344 4 28/29/0
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
22951 LAB 2 TuTh 9:00am - 9:59am Evans 344 4 29/29/0
22952 LAB 2 TuTh 10:00am - 10:59am Evans 344 4 29/29/0

2023 Fall 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, Muhammad R Khan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24699 LAB 8 4 0/0/0

2023 Fall 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)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 104 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31549 LAB 20 WeFr 11:00am - 11:59am Moffitt Library 145 4 96/104/0

2023 Fall 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)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 122 127 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22965 LAB 20 WeFr 9:00am - 9:59am Wheeler 212 4 122/127/0

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

Course Times
MoTuTh 9:00am - 9:59am
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 96 103 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22961 LAB 20 TuTh 10:00am - 10:59am Moffitt Library 145 4 96/103/0

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

Course Times
MoTuTh 11:00am - 11:59am
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 96 104 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26795 LAB 20 TuTh 12:00pm - 12:59pm Moffitt Library 145 4 96/104/0

2023 Fall STAT 20 005 LEC 005 - 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)
Silas Gifford
Status Limit Enrolled Waitlist
C 96 106 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26797 LAB 20 WeFr 1:00pm - 1:59pm Moffitt Library 145 4 96/106/0

2023 Fall STAT 20 006 LEC 006 - Introduction to Probability and Statistics

Course Times
MoTuTh 1:00pm - 1:59pm
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)
Iain Carmichael
Status Limit Enrolled Waitlist
C 96 100 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26799 LAB 20 TuTh 2:00pm - 2:59pm Moffitt Library 145 4 96/100/0

2023 Fall STAT 20 007 LEC 007 - 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)
Andrew Bray
Status Limit Enrolled Waitlist
C 96 102 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26801 LAB 20 WeFr 3:00pm - 3:59pm Moffitt Library 145 4 96/102/0

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

Course Times
MoTuTh 3:00pm - 3:59pm
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)
Iain Carmichael
Status Limit Enrolled Waitlist
C 96 97 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26803 LAB 20 TuTh 4:00pm - 4:59pm Moffitt Library 145 4 96/97/0

2023 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 90 84 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24260 LAB 33 We 9:00am - 9:59am Evans 334 1 22/22/0
24261 LAB 33 We 10:00am - 10:59am Evans 334 1 22/19/0
24262 LAB 33 We 2:00pm - 2:59pm Evans 340 1 23/21/0
24263 LAB 33 We 3:00pm - 3:59pm Evans 340 1 23/22/0

2023 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 90 88 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24265 LAB 33 Mo 9:00am - 9:59am Evans 334 1 21/20/0
24536 LAB 33 Mo 10:00am - 10:59am Evans 334 1 22/20/0
25529 LAB 33 Mo 12:00pm - 12:59pm Evans 340 1 22/22/0
25530 LAB 33 Mo 1:00pm - 1:59pm Evans 340 1 25/26/0

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

Course Times
TuTh 3:30pm - 4:59pm
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)
Ramesh Sridharan, Adityanand Guntuboyina
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24871 LAB 102 Mo 1:00pm - 1:59pm Social Sciences Building 104 4 0/0/0
24760 LAB 102 Mo 9:00am - 9:59am Social Sciences Building 104 4 0/0/0
24762 LAB 102 Mo 10:00am - 10:59am Social Sciences Building 175 4 0/0/0
24764 LAB 102 Mo 11:00am - 11:59am Social Sciences Building 175 4 0/0/0
24766 LAB 102 Mo 12:00pm - 12:59pm Social Sciences Building 104 4 0/0/0
24873 LAB 102 Mo 2:00pm - 2:59pm Social Sciences Building 104 4 0/0/0
24875 LAB 102 Mo 3:00pm - 3:59pm Social Sciences Building 104 4 0/0/0
24877 LAB 102 Mo 4:00pm - 4:59pm Social Sciences Building 104 4 0/0/0
25486 LAB 102 4 0/0/0

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

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Evans 60
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)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 80 80 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25175 LAB 131 TuTh 10:00am - 10:59am Evans 340 4 40/40/0
25176 LAB 131 TuTh 3:00pm - 3:59pm Evans 340 4 40/40/0

2023 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
C 180 189 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23000 LAB 133 Th 9:00am - 10:59am Evans 342 3 30/30/0
23001 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/32/0
23002 LAB 133 Th 11:00am - 12:59pm Evans 340 3 30/32/0
23003 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 30/33/0
25265 LAB 133 Th 1:00pm - 2:59pm Evans 342 3 30/30/0
25266 LAB 133 Th 3:00pm - 4:59pm Evans 342 3 30/32/0

2023 Fall STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 9:00am - 9:59am
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 361 360 0

2023 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 11:00am - 11:59am
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 127 126 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22967 LAB 135 Fr 4:00pm - 5:59pm Evans 344 4 35/35/0
23010 LAB 135 Fr 12:00pm - 1:59pm Hearst Mining 310 4 35/32/0
23011 LAB 135 Fr 1:00pm - 2:59pm Evans 9 4 0/0/0
22966 LAB 135 Fr 3:00pm - 4:59pm Dwinelle 229 4 0/0/0
23483 LAB 135 Fr 1:00pm - 2:59pm Dwinelle 223 4 35/26/0
23484 LAB 135 Fr 3:00pm - 4:59pm Hearst Mining 310 4 35/33/0

2023 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 10:00am - 10:59am
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, Adam Quinn Jaffe
Status Limit Enrolled Waitlist
O 96 83 0

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

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Stanley 106
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)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 70 50 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22941 LAB 151 Fr 9:00am - 10:59am Evans 330 4 35/26/0
22942 LAB 151 Fr 12:00pm - 1:59pm Evans 330 4 35/24/0

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

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Social Sciences Building 20
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)
Ryan Tibshirani
Status Limit Enrolled Waitlist
C 70 79 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23876 LAB 153 Fr 2:00pm - 3:59pm Evans 332 4 40/39/0
23877 LAB 153 Fr 4:00pm - 5:59pm Evans 332 4 40/40/0
23878 LAB 153 4 30/0/0
23879 LAB 153 4 30/0/0

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

Course Times
TuTh 9:30am - 10:59am
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 Zhivotovskiy
Status Limit Enrolled Waitlist
O 50 48 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22925 LAB 154 We 9:00am - 10:59am Evans 344 4 25/24/0
22926 LAB 154 We 12:00pm - 1:59pm Evans 344 4 25/24/0

2023 Fall STAT 156 001 LEC 001 - Causal Inference

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Stanley 106
Course Units
4
Course number
156
Course description

This course will focus on approaches to causal inference using the potential outcomes framework. It will also use causal diagrams at an intuitive level. The main topics are classical randomized experiments, observational studies, instrumental variables, principal stratification and mediation analysis. Applications are drawn from a variety of fields including political science, economics, sociology, public health, and medicine. This course is a mix of statistical theory and data analysis. Students will be exposed to statistical questions that are relevant to decision and policy making.

Instructor(s)
Peng Ding
Status Limit Enrolled Waitlist
O 40 37 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24805 LAB 156 Mo 9:00am - 10:59am Evans 330 4 18/18/0
24806 LAB 156 Mo 1:00pm - 2:59pm Evans 330 4 23/19/0

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

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 332
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)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 35 34 0

2023 Fall STAT 158 001 LEC 001 - Experimental Design

Course Times
TuTh 11:00am - 12:29pm
Course Location
Birge 50
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)
Sam Pimentel
Status Limit Enrolled Waitlist
O 70 58 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32607 LAB 158 Mo 11:00am - 12:59pm Evans 330 4 35/29/0
32608 LAB 158 Mo 3:00pm - 4:59pm Evans 330 4 35/29/0

2023 Fall STAT 201B 001 LEC 001 - Introduction to Statistics at an Advanced Level

Course Times
MoWeFr 11:00am - 11:59am
Course Location
GSPP 150
Course Units
4
Course number
201B
Course description

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

Instructor(s)
Elizabeth Purdom
Status Limit Enrolled Waitlist
O 70 59 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22937 LAB 201 We 1:00pm - 2:59pm Evans 332 4 35/33/0
22938 LAB 201 We 3:00pm - 4:59pm Evans 332 4 35/26/0

2023 Fall STAT 201A 001 LEC 001 - Introduction to Probability at an Advanced Level

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Davis 534
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)
Adrian Gonzalez Casanova Soberon
Status Limit Enrolled Waitlist
O 70 59 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22934 LAB 201 Mo 12:00pm - 1:59pm Evans 332 4 35/28/0
22935 LAB 201 Mo 2:00pm - 3:59pm Evans 332 4 35/31/0

2023 Fall STAT 204 001 LEC 001 - Probability for Applications

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 332
Course Units
4
Course number
204
Course description

A treatment of ideas and techniques most commonly found in the applications of probability: Gaussian and Poisson processes, limit theorems, large deviation principles, information, Markov chains and Markov chain Monte Carlo, martingales, Brownian motion and diffusion.

Instructor(s)
Steven N Evans, Ella Veronika Hiesmayr
Status Limit Enrolled Waitlist
O 25 19 0

2023 Fall STAT C205A 001 LEC 001 - Probability Theory

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 334
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)
Alan Hammond
Status Limit Enrolled Waitlist
O 21 20 0

2023 Fall STAT 210A 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 11:00am - 12:29pm
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)
William Fithian, Tae Joo Ahn
Status Limit Enrolled Waitlist
O 90 69 0

2023 Fall STAT 215A 001 LEC 001 - Statistical Models: Theory and Application

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 334
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 21 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22963 LAB 215 Fr 9:00am - 10:59am Evans 334 4 30/21/0

2023 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 56 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23021 LAB 243 Fr 1:00pm - 2:59pm Evans 340 4 35/34/0
23022 LAB 243 Fr 3:00pm - 4:59pm Evans 340 4 35/22/0

2023 Fall STAT C245B 001 LEC 001 - Concepts of Statistics

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Berkeley Way West 1206
Course Units
4
Course number
C245B
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)
Mark van der Laan
Status Limit Enrolled Waitlist
O 11 6 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24205 LAB 245 We 12:00pm - 1:59pm Berkeley Way West 1212 4 10/6/0

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

Course Times
TuTh 9:30am - 10:59am
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 Zhivotovskiy
Status Limit Enrolled Waitlist
O 20 12 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32556 LAB 254 We 9:00am - 10:59am Evans 344 4 10/4/0
32557 LAB 254 We 12:00pm - 1:59pm Evans 344 4 10/8/0

2023 Fall STAT 256 001 LEC 001 - Causal Inference

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Stanley 106
Course Units
4
Course number
256
Course description

This course will focus on approaches to causal inference using the potential outcomes framework. It will also use causal diagrams at an intuitive level. The main topics are classical randomized experiments, observational studies, instrumental variables, principal stratification and mediation analysis. Applications are drawn from a variety of fields including political science, economics, sociology, public health, and medicine. This course is a mix of statistical theory and data analysis. Students will be exposed to statistical questions that are relevant to decision and policy making.

Instructor(s)
Peng Ding
Status Limit Enrolled Waitlist
O 40 39 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24809 LAB 256 Mo 1:00pm - 2:59pm Evans 330 4 20/19/0
24808 LAB 256 Mo 9:00am - 10:59am Evans 330 4 20/20/0

2023 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)
James Bentley Brown
Status Limit Enrolled Waitlist
O 12 6 0

2023 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)
Ryan Giordano
Status Limit Enrolled Waitlist
O 35 16 0

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

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 334
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Benson C Au
Status Limit Enrolled Waitlist
O 10 6 0

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

Course Times
We 9:00am - 10:59am
Course Location
Evans 332
Course Units
4
Course number
375
Course description

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

Status Limit Enrolled Waitlist
O 40 13 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23142 LAB 375 40/13/0

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
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
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
C 451 454 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23268 LAB 2 MoWe 8:00am - 8:59am Evans 2 4 28/28/0
23269 LAB 2 MoWe 9:00am - 9:59am Evans 70 4 29/29/0
23270 LAB 2 MoWe 10:00am - 10:59am Cheit C335 4 28/28/0
23271 LAB 2 MoWe 10:00am - 10:59am Wheeler 106 4 28/29/0
23272 LAB 2 MoWe 11:00am - 11:59am Latimer 105 4 29/30/0
23273 LAB 2 MoWe 11:00am - 11:59am Cheit C335 4 28/28/0
23274 LAB 2 MoWe 1:00pm - 1:59pm Evans 85 4 28/27/0
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 28/28/0
26526 LAB 2 MoWe 9:00am - 9:59am Evans 334 4 28/28/0
26527 LAB 2 MoWe 5:00pm - 5:59pm Evans 75 4 28/28/0
26528 LAB 2 MoWe 2:00pm - 2:59pm Evans 344 4 28/28/0
27027 LAB 2 MoWe 3:00pm - 3:59pm Evans 344 4 28/29/0
32910 LAB 2 MoWe 4:00pm - 4:59pm Evans 334 4 29/29/0
32911 LAB 2 MoWe 4:00pm - 4:59pm Evans 344 4 28/29/0

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
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 20 001 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 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23277 LAB 20 WeFr 9:00am - 9:59am Wheeler 212 4 122/122/0

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 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27150 LAB 20 WeFr 9:00am - 9:59am GSPP 150 4 86/86/0

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 98 98 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27352 LAB 20 WeFr 11:00am - 11:59am Moffitt Library 145 4 100/98/0

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 104 104 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31489 LAB 20 WeFr 1:00pm - 1:59pm Moffitt Library 145 4 104/104/0

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 98 98 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31490 LAB 20 WeFr 3:00pm - 3:59pm Moffitt Library 145 4 98/98/0

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 120 120 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31492 LAB 20 WeFr 6:00pm - 6:59pm Wheeler 212 4 120/120/0

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 99 99 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31493 LAB 20 WeFr 9:00am - 9:59am Moffitt Library 145 4 99/99/0

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
Status Limit Enrolled Waitlist
O 100 87 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24866 LAB 33 We 11:00am - 11:59am Evans 342 1 25/22/0
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 25/21/0
24869 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/24/0

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
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
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 65 65 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25832 LAB 131 MoWe 10:00am - 10:59am Evans 334 4 32/32/0
25833 LAB 131 MoWe 3:00pm - 3:59pm Evans 334 4 33/33/0

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
Status Limit Enrolled Waitlist
C 180 182 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23282 LAB 133 Th 9:00am - 10:59am Evans 340 3 30/30/0
23283 LAB 133 Th 10:00am - 11:59am Evans 334 3 30/29/0
23284 LAB 133 Th 11:00am - 12:59pm Evans 340 3 31/30/0
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 30/33/0

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 360 349 0

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 180 130 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23301 LAB 135 Fr 12:00pm - 1:59pm Dwinelle 79 4 30/24/0
23302 LAB 135 Fr 12:00pm - 1:59pm Stanley 179 4 30/24/0
23303 LAB 135 Fr 2:00pm - 3:59pm Wheeler 30 4 30/25/0
23304 LAB 135 Fr 2:00pm - 3:59pm Stanley 179 4 30/15/0
23305 LAB 135 Fr 4:00pm - 5:59pm Wheeler 30 4 30/20/0
23300 LAB 135 Fr 3:00pm - 4:59pm Evans 334 4 30/22/0