Courses

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 20 001 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 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 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
25040 LAB 102 Mo 12:00pm - 12:59pm Etcheverry 3105 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 156 001 LEC 001 - Causal Inference

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Valley Life Sciences 2050
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 55 46 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
34094 LAB 156 Fr 12:00pm - 1:59pm Genetics & Plant Bio 107 4 20/12/0
25085 LAB 156 Fr 2:00pm - 3:59pm Evans 342 4 18/17/0
25086 LAB 156 Fr 4:00pm - 5:59pm Evans 342 4 18/17/0

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 256 001 LEC 001 - Causal Inference

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Valley Life Sciences 2050
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
C 40 38 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25088 LAB 256 Fr 2:00pm - 3:59pm Evans 342 4 18/17/0
25089 LAB 256 Fr 4:00pm - 5:59pm Evans 342 4 18/17/0
34178 LAB 256 Fr 12:00pm - 1:59pm Genetics & Plant Bio 107 4 5/4/0

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
13850 LAB 20 MoWeTh 3:00pm - 3:59pm Evans 342 4 25/0/0
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
27077 LAB 100 Tu 11:00am - 11:59am 4 1/0/0
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

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

Course Times
TuTh 9:30am - 10:59am
Course Location
Internet/Online
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)
Nika Haghtalab, Ramesh Sridharan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
29168 LAB 102 4 0/0/0

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

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Joan and Sanford I. Weill 101
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
O 70 64 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
29699 LAB 131 MoWe 11:00am - 11:59am Evans 332 4 35/33/0
29700 LAB 131 MoWe 3:00pm - 3:59pm Evans 332 4 35/31/0

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

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Dwinelle 145
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 180 156 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26242 LAB 133 Th 8:00am - 9:59am Evans 342 3 30/24/0
26243 LAB 133 Th 10:00am - 11:59am Evans 340 3 30/28/0
26244 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/29/0
26245 LAB 133 Th 2:00pm - 3:59pm Evans 330 3 30/25/0
26246 LAB 133 Th 2:00pm - 3:59pm Evans 340 3 30/30/0
26247 LAB 133 Th 4:00pm - 5:59pm Evans 340 3 30/20/0

2022 Spring STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 10:00am - 10:59am
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 360 340 0

2022 Spring STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
TuTh 11:00am - 12:29pm
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)
Rebecca L Barter
Status Limit Enrolled Waitlist
O 180 156 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26260 LAB 135 Fr 9:00am - 10:59am Wheeler 120 4 30/28/0
26261 LAB 135 Fr 10:00am - 11:59am Etcheverry 3119 4 30/30/0
26262 LAB 135 Fr 10:00am - 11:59am Social Sciences Building 175 4 30/26/0
26263 LAB 135 Fr 12:00pm - 1:59pm Evans 70 4 30/23/0
26264 LAB 135 Fr 3:00pm - 4:59pm Wheeler 200 4 30/27/0
26265 LAB 135 Fr 4:00pm - 5:59pm Evans 70 4 30/22/0

2022 Spring STAT C140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Dwinelle 155
Course Units
4
Course number
C140
Course description

An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.

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

2022 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, Yassine El Maazouz
Status Limit Enrolled Waitlist
O 100 72 0

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

Course Times
TuTh 8:00am - 9:29am
Course Location
Hearst Mining 390
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)
Ruoqi Yu
Status Limit Enrolled Waitlist
O 140 114 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26270 LAB 153 Fr 8:00am - 9:59am Evans 70 4 35/27/0

2022 Spring STAT 155 001 LEC 001 - Game Theory

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Valley Life Sciences 2040
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, Fangzhou Su
Status Limit Enrolled Waitlist
O 114 87 0

2022 Spring STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Etcheverry 3108
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
O 55 54 0

2022 Spring STAT 159 001 LEC 001 - Reproducible and Collaborative Statistical Data Science

Course Times
We 2:00pm - 4:59pm
Course Location
McCone 141
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 59 57 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
29348 LAB 159 Mo 11:00am - 12:59pm Evans 342 4 29/27/0
29349 LAB 159 Mo 2:00pm - 3:59pm Evans 342 4 30/30/0

2022 Spring STAT C200C 001 LEC 001 - Principles and Techniques of Data Science

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Li Ka Shing 245
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)
Joshua A Hug, Lisa Yan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27750 LAB 200 4 0/0/0

2022 Spring STAT C205B 001 LEC 001 - Probability Theory

Course Times
TuTh 2:00pm - 3:29pm
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)
Steven N Evans
Status Limit Enrolled Waitlist
O 20 9 0

2022 Spring STAT C206B 001 LEC 001 - Advanced Topics in Probability and Stochastic Processes

Course Times
TuTh 3:30pm - 4:59pm
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)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 15 8 0

2022 Spring STAT 210B 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 9:30am - 10:59am
Course Location
Lewis 9
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, Eric Xia
Status Limit Enrolled Waitlist
O 46 40 0

2022 Spring STAT 215B 001 LEC 001 - Statistical Models: Theory and Application

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 344
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)
Elizabeth Purdom
Status Limit Enrolled Waitlist
O 25 6 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26286 LAB 215 Fr 10:00am - 11:59am Evans 344 4 25/6/0

2022 Spring STAT 222 001 SEM 001 - Masters of Statistics Capstone Project

Course Times
Tu 5:00pm - 7:59pm
Course Location
Physics Building 2
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, Nils Gustav Thomas Bengtsson
Status Limit Enrolled Waitlist
O 60 54 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27263 LAB 222 Th 5:00pm - 5:59pm Anthro/Art Practice Bldg 155 4 30/30/0
29621 LAB 222 Th 6:00pm - 6:59pm Anthro/Art Practice Bldg 155 4 30/24/0

2022 Spring STAT 230A 001 LEC 001 - Linear Models

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Social Sciences Building 20
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 60 58 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26289 LAB 230 We 10:00am - 11:59am Evans 344 4 30/29/0
28434 LAB 230 We 1:00pm - 2:59pm Evans 344 4 30/29/0

2022 Spring STAT 232 001 LEC 001 - Experimental Design

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Evans 334
Course Units
4
Course number
232
Course description

Randomization, blocking, factorial design, confounding, fractional replication, response surface methodology, optimal design. Applications.

Instructor(s)
Samuel David Pimentel
Status Limit Enrolled Waitlist
O 35 25 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33045 LAB 232 We 9:00am - 10:59am Evans 340 4 35/25/0

2022 Spring STAT 248 001 LEC 001 - Analysis of Time Series

Course Times
TuTh 11:00am - 12:29pm
Course Location
Morgan 101
Course Units
4
Course number
248
Course description

Frequency-based techniques of time series analysis, spectral theory, linear filters, estimation of spectra, estimation of transfer functions, design, system identification, vector-valued stationary processes, model building.

Instructor(s)
Adityanand Guntuboyina
Status Limit Enrolled Waitlist
O 56 52 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33422 LAB 248 Fr 3:00pm - 4:59pm Evans 344 4 26/25/0
26291 LAB 248 Fr 1:00pm - 2:59pm Evans 344 4 30/27/0

2022 Spring STAT 259 001 LEC 001 - Reproducible and Collaborative Statistical Data Science

Course Times
We 2:00pm - 4:59pm
Course Location
McCone 141
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
C 11 12 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
29351 LAB 259 Mo 11:00am - 12:59pm Evans 342 4 6/6/0
29352 LAB 259 Mo 2:00pm - 3:59pm Evans 342 4 6/6/0

2022 Spring STAT 260 001 LEC 001 - Topics in Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Etcheverry 3108
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 17 14 0

2022 Spring STAT 272 001 SES 001 - Statistical Consulting

Course Times
Mo 2:00pm - 3:59pm
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)
Jon Mcauliffe
Status Limit Enrolled Waitlist
C 12 12 0

2022 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)
Song Mei
Status Limit Enrolled Waitlist
O 15 12 0

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

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

Special topics, by means of lectures and informational conferences.

Instructor(s)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 15 8 0

2022 Spring STAT 375 001 LEC 001 - 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 14 14 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
27818 LAB 375 14/14/0

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

Course Times
Mo 2:00pm - 3:59pm
Course Location
Evans 330
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 20 20 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33688 LAB 375 20/20/0

2021 Fall STAT 2 001 LEC 001 - Introduction to Statistics

Course Times
MoWe 5:00pm - 6:29pm
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)
Cari Kaufman
Status Limit Enrolled Waitlist
O 368 367 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23399 LAB 2 TuTh 4:00pm - 4:59pm Wheeler 104 4 26/26/0
23400 LAB 2 TuTh 6:00pm - 6:59pm Internet/Online 4 28/27/0
23401 LAB 2 TuTh 5:00pm - 5:59pm Etcheverry 3105 4 26/26/0
33570 LAB 2 TuTh 12:00pm - 12:59pm Evans 330 4 25/25/0
33571 LAB 2 TuTh 1:00pm - 1:59pm Evans 330 4 26/24/0
23331 LAB 2 TuTh 1:00pm - 1:59pm Evans 332 4 26/26/0
23332 LAB 2 TuTh 2:00pm - 2:59pm Evans 342 4 28/28/0
23333 LAB 2 TuTh 2:00pm - 2:59pm Evans 3 4 28/27/0
23334 LAB 2 TuTh 3:00pm - 3:59pm Evans 342 4 27/27/0
23335 LAB 2 TuTh 8:00am - 8:59am Internet/Online 4 26/26/0
23347 LAB 2 TuTh 1:00pm - 1:59pm Social Sciences Building 174 4 26/26/0
23402 LAB 2 TuTh 9:00am - 9:59am Evans 332 4 27/27/0
23403 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 26/26/0
23404 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 26/26/0

2021 Fall STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Internet/Online
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)
Anindita Adhikari, David Wagner
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26229 LAB 8 4 0/0/0

2021 Fall STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
TuTh 2:00pm - 3:29pm
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)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 705 697 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23361 LAB 20 MoWe 10:00am - 10:59am Wheeler 106 4 25/25/0
32523 LAB 20 MoWe 9:00am - 9:59am Evans 87 4 25/22/0
32524 LAB 20 MoWe 9:00am - 9:59am Evans 81 4 25/24/0
33635 LAB 20 MoWe 8:00am - 8:59am Internet/Online 4 28/28/0
33636 LAB 20 MoWe 4:00pm - 4:59pm Evans 344 4 25/23/0
23353 LAB 20 MoWe 1:00pm - 1:59pm Valley Life Sciences 2038 4 25/24/0
23338 LAB 20 MoWe 1:00pm - 1:59pm Evans 2 4 25/23/0
23339 LAB 20 MoWe 2:00pm - 2:59pm Evans 71 4 25/24/0
23340 LAB 20 MoWe 2:00pm - 2:59pm Evans 6 4 26/25/0
23341 LAB 20 MoWe 2:00pm - 2:59pm Evans 344 4 27/27/0
23342 LAB 20 MoWe 3:00pm - 3:59pm Evans 81 4 25/25/0
23343 LAB 20 Mo 3:00pm - 3:59pm Evans 340 4 25/24/0
23358 LAB 20 MoWe 9:00am - 9:59am Internet/Online 4 25/28/0
23359 LAB 20 MoWe 9:00am - 9:59am Evans 4 4 25/26/0
23360 LAB 20 MoWe 10:00am - 10:59am Physics Building 385 4 25/25/0
23362 LAB 20 MoWe 11:00am - 11:59am Internet/Online 4 23/19/0
23363 LAB 20 MoWe 11:00am - 11:59am Evans 332 4 25/25/0
23364 LAB 20 MoWe 12:00pm - 12:59pm Evans 2 4 25/25/0
23365 LAB 20 MoWe 12:00pm - 12:59pm Evans 332 4 25/25/0
23366 LAB 20 MoWe 1:00pm - 1:59pm Evans 344 4 25/25/0
32525 LAB 20 MoWe 9:00am - 9:59am Internet/Online 4 25/28/0
32526 LAB 20 MoWe 10:00am - 10:59am Evans 4 4 25/22/0
32527 LAB 20 MoWe 11:00am - 11:59am Etcheverry 3109 4 25/26/0
32528 LAB 20 MoWe 11:00am - 11:59am Evans 2 4 25/25/0
32529 LAB 20 MoWe 6:00pm - 6:59pm Internet/Online 4 26/25/0
32530 LAB 20 MoWe 5:00pm - 5:59pm Internet/Online 4 25/27/0
32531 LAB 20 MoWe 6:00pm - 6:59pm Internet/Online 4 26/26/0
32532 LAB 20 MoWe 3:00pm - 3:59pm Evans 344 4 26/26/0

2021 Fall STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Evans 10
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 167 167 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24210 LAB 20 TuTh 3:00pm - 3:59pm Internet/Online 4 0/0/0
24211 LAB 20 TuTh 3:00pm - 3:59pm 4 0/0/0
24212 LAB 20 TuTh 4:00pm - 4:59pm Internet/Online 4 0/0/0
24213 LAB 20 TuTh 5:00pm - 5:59pm 4 0/0/0
24161 LAB 20 TuTh 12:00pm - 12:59pm Internet/Online 4 0/0/0
24162 LAB 20 TuTh 1:00pm - 1:59pm Internet/Online 4 0/0/0
24163 LAB 20 TuTh 1:00pm - 1:59pm Internet/Online 4 0/0/0
23350 LAB 20 TuTh 10:00am - 10:59am Evans 342 4 25/28/0
23351 LAB 20 TuTh 10:00am - 10:59am Evans 344 4 28/27/0
23352 LAB 20 TuTh 11:00am - 11:59am Evans 342 4 25/28/0
23336 LAB 20 TuTh 11:00am - 11:59am Evans 330 4 25/28/0
23348 LAB 20 TuTh 8:00am - 8:59am Evans 340 4 25/28/0
23349 LAB 20 TuTh 9:00am - 9:59am Evans 340 4 25/28/0
25245 LAB 20 TuTh 4:00pm - 4:59pm 4 0/0/0
32124 LAB 20 TuTh 2:00pm - 2:59pm 4 0/0/0
32125 LAB 20 TuTh 2:00pm - 2:59pm 4 0/0/0

2021 Fall STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Tu 2:00pm - 2:59pm
Course Location
Cory 277
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 80 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25273 LAB 33 Fr 9:00am - 9:59am Evans 342 1 25/18/0
25274 LAB 33 Fr 10:00am - 10:59am Evans 342 1 25/21/0
25275 LAB 33 Fr 1:00pm - 1:59pm Evans 342 1 25/22/0
25276 LAB 33 Fr 2:00pm - 2:59pm Evans 342 1 25/19/0

2021 Fall STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
Th 2:00pm - 2:59pm
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 78 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25278 LAB 33 Fr 11:00am - 11:59am Evans 342 1 25/24/0
25977 LAB 33 Fr 12:00pm - 12:59pm Evans 342 1 25/19/0
32662 LAB 33 Fr 3:00pm - 3:59pm Evans 342 1 25/19/0
32663 LAB 33 Fr 4:00pm - 4:59pm Evans 342 1 25/16/0

2021 Fall STAT 88 001 LEC 001 - Probability and Mathematical Statistics in Data Science

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Internet/Online
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)
Anthony Cyril Donoghue, Meghana Kumar, Anton Edel Bobrov, Christopher Bledsoe Tice-Raskin
Status Limit Enrolled Waitlist
O 261 256 0

2021 Fall STAT C102 001 LEC 001 - Data, Inference, and Decisions

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Internet/Online
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, Jacob Noah Steinhardt
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26313 LAB 102 Mo 10:00am - 10:59am 4 0/0/0
26315 LAB 102 Mo 11:00am - 11:59am 4 0/0/0
26317 LAB 102 Mo 12:00pm - 12:59pm Hearst Field Annex B5 4 0/0/0
26473 LAB 102 Mo 4:00pm - 4:59pm Etcheverry 3113 4 0/0/0
26475 LAB 102 Mo 4:00pm - 4:59pm Etcheverry 3111 4 0/0/0
26477 LAB 102 Mo 3:00pm - 3:59pm Dwinelle 229 4 0/0/0
26471 LAB 102 Mo 1:00pm - 1:59pm Etcheverry 3108 4 0/0/0
32489 LAB 102 MoWe 5:00pm - 5:59pm Evans 334 4 0/0/0

2021 Fall STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Evans 10
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 180 172 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23407 LAB 133 We 10:00am - 11:59am Evans 342 3 30/30/0
23408 LAB 133 We 12:00pm - 1:59pm Evans 342 3 30/29/0
23409 LAB 133 We 12:00pm - 1:59pm Wurster 101 3 30/25/0
23411 LAB 133 We 4:00pm - 5:59pm Evans 342 3 30/28/0
31044 LAB 133 We 10:00am - 11:59am Evans 340 3 30/30/0
31045 LAB 133 We 2:00pm - 3:59pm Evans 342 3 31/30/0

2021 Fall STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Internet/Online
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 300 283 1

2021 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 1:00pm - 1:59pm
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 180 143 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23367 LAB 135 Th 3:00pm - 4:59pm Evans 334 4 30/28/0
23368 LAB 135 Th 4:00pm - 5:59pm Evans 332 4 30/27/0
23418 LAB 135 Th 9:00am - 10:59am Evans 334 4 30/26/0
23419 LAB 135 Th 11:00am - 12:59pm Evans 334 4 30/19/0
24087 LAB 135 Th 1:00pm - 2:59pm Evans 334 4 30/23/0
24088 LAB 135 Th 2:00pm - 3:59pm Evans 332 4 30/20/0

2021 Fall STAT C140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Internet/Online
Course Units
4
Course number
C140
Course description

An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.

Instructor(s)
Swupnil Kumar Sahai
Status Limit Enrolled Waitlist
C 0 0 0

2021 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 10:00am - 10:59am
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 Au
Status Limit Enrolled Waitlist
O 100 62 0

2021 Fall STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 11:00am - 12:29pm
Course Location
Valley Life Sciences 2060
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)
Samuel David Pimentel
Status Limit Enrolled Waitlist
C 79 79 0
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
23321 LAB 151 Fr 10:00am - 11:59am Wheeler 204 4 39/39/0
23322 LAB 151 Fr 12:00pm - 1:59pm Wheeler 220 4 40/40/0

2021 Fall STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
We 3:00pm - 5:59pm
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)
Ruoqi Yu
Status Limit Enrolled Waitlist
O 140 111 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24647 LAB 153 Fr 11:00am - 12:59pm Evans 332 4 35/33/0
24648 LAB 153 Fr 1:00pm - 2:59pm Evans 332 4 35/23/0
24649 LAB 153 Fr 3:00pm - 4:59pm Evans 332 4 35/29/0
24646 LAB 153 Fr 9:00am - 10:59am Evans 332 4 35/26/0

2021 Fall STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Moffitt Library 101
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
O 70 44 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23304 LAB 154 Mo 10:00am - 11:59am Moffitt Library 103 4 35/18/0
23305 LAB 154 Mo 2:00pm - 3:59pm Wheeler 220 4 35/26/0

2021 Fall STAT 156 001 LEC 001 - Causal Inference

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Valley Life Sciences 2060
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 39 30 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26403 LAB 156 Fr 2:00pm - 3:59pm Wheeler 102 4 19/15/0
26404 LAB 156 Fr 4:00pm - 5:59pm Wheeler 130 4 20/15/0

2021 Fall STAT 201A 001 LEC 001 - Introduction to Probability at an Advanced Level

Course Times
TuTh 9:30am - 10:59am
Course Location
Stanley 105
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 90 78 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
23314 LAB 201 Mo 12:00pm - 1:59pm Evans 334 4 35/34/0
23315 LAB 201 Mo 3:00pm - 4:59pm Evans 334 4 30/29/0

2021 Fall STAT 201B 001 LEC 001 - Introduction to Statistics at an Advanced Level

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Hearst Mining 390
Course Units
4
Course number
201B
Course description

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

Instructor(s)
Haiyan Huang
Status Limit Enrolled Waitlist
O 90 74 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23317 LAB 201 We 11:00am - 12:59pm Evans 334 4 34/34/0
23318 LAB 201 We 1:00pm - 2:59pm Evans 334 4 30/29/0
33790 LAB 201 We 11:00am - 12:59pm Evans 344 4 30/11/0

2021 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, Steven N Evans
Status Limit Enrolled Waitlist
O 30 17 0

2021 Fall STAT 210A 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 9:30am - 10:59am
Course Location
Valley Life Sciences 2060
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
Status Limit Enrolled Waitlist
O 71 65 0

2021 Fall STAT 215A 001 LEC 001 - Statistical Models: Theory and Application

Course Times
TuTh 11:00am - 12:29pm
Course Location
Internet/Online
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 40 26 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23355 LAB 215 Fr 11:00am - 12:59pm Evans 334 4 40/26/0