Courses

2020 Fall STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Internet/Online
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 150 148 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23776 LAB 133 3 0/0/0
23777 LAB 133 3 0/0/0
23778 LAB 133 3 0/0/0
23779 LAB 133 3 0/0/0
23782 LAB 133 We 11:00am - 12:59pm Internet/Online 3 44/44/0
23783 LAB 133 We 1:00pm - 2:59pm Internet/Online 3 40/30/0
23784 LAB 133 We 3:00pm - 4:59pm Internet/Online 3 40/35/0
23786 LAB 133 Th 9:00am - 10:59am Internet/Online 3 40/39/0
23787 LAB 133 3 0/0/0
23788 LAB 133 3 0/0/0

2020 Fall STAT 134 001 LEC 001 - Concepts of Probability

Course Times
MoWeFr 1:00pm - 1:59pm
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 300 277 0

2020 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Internet/Online
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)
Yun S. Song
Status Limit Enrolled Waitlist
O 180 122 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23734 LAB 135 Fr 2:00pm - 2:59pm Internet/Online 4 30/24/0
23735 LAB 135 Fr 2:00pm - 2:59pm Internet/Online 4 30/17/0
23796 LAB 135 Fr 10:00am - 10:59am Internet/Online 4 30/19/0
23797 LAB 135 Fr 10:00am - 10:59am Internet/Online 4 30/21/0
24645 LAB 135 Fr 12:00pm - 12:59pm Internet/Online 4 30/21/0
24646 LAB 135 Fr 12:00pm - 12:59pm Internet/Online 4 30/20/0

2020 Fall STAT 140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Internet/Online
Course Units
4
Course number
140
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
O 335 332 0

2020 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Internet/Online
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)
Brett T Kolesnik, Ella Veronika Hiesmayr
Status Limit Enrolled Waitlist
O 92 78 0

2020 Fall STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Internet/Online
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
O 100 64 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23687 LAB 151 Fr 9:00am - 10:59am Internet/Online 4 35/31/0
23688 LAB 151 Fr 11:00am - 12:59pm Internet/Online 4 35/33/0
25344 LAB 151 Fr 1:00pm - 2:59pm Internet/Online 4 0/0/0
25345 LAB 151 Fr 3:00pm - 4:59pm Internet/Online 4 0/0/0

2020 Fall STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Internet/Online
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)
Jared D Fisher
Status Limit Enrolled Waitlist
O 140 127 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25390 LAB 153 Fr 9:00am - 10:59am Internet/Online 4 35/31/0
25391 LAB 153 Fr 11:00am - 12:59pm Internet/Online 4 35/34/0
25392 LAB 153 Fr 1:00pm - 2:59pm Internet/Online 4 35/29/0
25393 LAB 153 Fr 3:00pm - 4:59pm Internet/Online 4 35/33/0

2020 Fall STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 11:00am - 12:29pm
Course Location
Internet/Online
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)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 70 52 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23669 LAB 154 Mo 10:00am - 11:59am Internet/Online 4 35/24/0
23670 LAB 154 Mo 12:00pm - 1:59pm Internet/Online 4 35/27/0
25564 LAB 154 Mo 2:00pm - 3:59pm Internet/Online 4 1/1/0
26476 LAB 154 Mo 2:00pm - 3:59pm Internet/Online 4 0/0/0

2020 Fall STAT 155 001 LEC 001 - Game Theory

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Internet/Online
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, Zihao Chen
Status Limit Enrolled Waitlist
O 100 62 0

2020 Fall STAT 156 001 LEC 001 - Causal Inference

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Internet/Online
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 35 19 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33495 LAB 156 Tu 2:00pm - 3:59pm Internet/Online 4 18/11/0
33496 LAB 156 Tu 4:00pm - 5:59pm Internet/Online 4 18/8/0

2020 Fall STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Internet/Online
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)
Adityanand Guntuboyina
Status Limit Enrolled Waitlist
C 15 15 0

2020 Fall STAT 201A 001 LEC 001 - Introduction to Probability at an Advanced Level

Course Times
TuTh 11:00am - 12:29pm
Course Location
Internet/Online
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)
James W Pitman
Status Limit Enrolled Waitlist
O 70 53 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23680 LAB 201 Mo 12:00pm - 1:59pm Evans 344 4 35/31/0
23681 LAB 201 Mo 3:00pm - 4:59pm Evans 344 4 35/22/0

2020 Fall STAT 201B 001 LEC 001 - Introduction to Statistics at an Advanced Level

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Internet/Online
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 52 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23683 LAB 201 We 11:00am - 12:59pm Evans 344 4 35/29/0
23684 LAB 201 We 1:00pm - 2:59pm Evans 344 4 35/23/0

2020 Fall STAT C205A 001 LEC 001 - Probability Theory

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Internet/Online
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, Mehdi Ouaki
Status Limit Enrolled Waitlist
O 30 27 1

2020 Fall STAT C206A 001 LEC 001 - Advanced Topics in Probability and Stochastic Process

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Requested General Assignment
Course Units
3
Course number
C206A
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)
Alan Hammond
Status Limit Enrolled Waitlist
O 10 7 0

2020 Fall STAT 210A 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 9:30am - 10:59am
Course Location
Internet/Online
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, Forest Yang
Status Limit Enrolled Waitlist
O 140 107 0

2020 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 42 37 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23721 LAB 215 Fr 11:00am - 12:59pm Internet/Online 4 42/37/0

2020 Fall STAT 243 001 LEC 001 - Introduction to Statistical Computing

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Internet/Online
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 80 57 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23822 LAB 243 Fr 12:00pm - 1:59pm Internet/Online 4 40/33/0
23823 LAB 243 Fr 2:00pm - 3:59pm Internet/Online 4 40/24/0
34333 LAB 243 4 1/0/0

2020 Fall STAT 256 001 LEC 001 - Causal Inference

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Internet/Online
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 36 30 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33498 LAB 256 Tu 2:00pm - 3:59pm Internet/Online 4 18/13/0
33499 LAB 256 Tu 4:00pm - 5:59pm Internet/Online 4 18/17/0

2020 Fall STAT 260 001 LEC 001 - Topics in Probability and Statistics

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Internet/Online
Course Units
3
Course number
260
Course description

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

Instructor(s)
Adityanand Guntuboyina
Status Limit Enrolled Waitlist
O 19 18 0

2020 Fall STAT 260 002 LEC 002 - Topics in Probability and Statistics

Course Units
3
Course number
260
Course description

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

Status Limit Enrolled Waitlist
O 6 0 0

2020 Fall STAT 272 001 SES 001 - Statistical Consulting

Course Times
Fr 10:00am - 11:59am
Course Location
Internet/Online
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)
Andrew Paul Bray
Status Limit Enrolled Waitlist
O 12 1 0

2020 Fall 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, Jacob Noah Steinhardt
Status Limit Enrolled Waitlist
O 35 13 0

2020 Fall 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 10 7 0

2020 Fall STAT 375 001 LEC 001 - Professional Preparation: Teaching of Probability and Statistics

Course Times
Fr 9:00am - 9:59am
Course number
375
Course description

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

Instructor(s)
Fletcher H Ibser
Status Limit Enrolled Waitlist
O 30 20 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24035 LAB 375 30/20/0

2020 Spring STAT 2 001 LEC 001 - Introduction to Statistics

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Li Ka Shing 245
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 300 298 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21860 LAB 2 TuTh 8:00am - 8:59am Evans 332 4 24/23/0
21861 LAB 2 TuTh 9:00am - 9:59am Evans 332 4 25/25/0
21862 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 25/26/0
21863 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 24/24/0
21864 LAB 2 TuTh 12:00pm - 12:59pm Wheeler 124 4 25/25/0
21865 LAB 2 TuTh 1:00pm - 1:59pm Wheeler 106 4 26/26/0
21866 LAB 2 TuTh 2:00pm - 2:59pm Evans 332 4 25/25/0
21867 LAB 2 TuTh 3:00pm - 3:59pm Evans 332 4 25/25/0
21868 LAB 2 TuTh 8:00am - 8:59am Evans 334 4 25/24/0
21869 LAB 2 TuTh 2:00pm - 2:59pm Evans 330 4 25/25/0
21870 LAB 2 TuTh 3:00pm - 3:59pm Evans 330 4 25/25/0
21871 LAB 2 TuTh 5:00pm - 5:59pm Evans 334 4 25/25/0

2020 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 Kumar Sahai, Ramesh Sridharan, Avery Kwan-Ting Yip, Sam Wu, Tamara Vilaythong
Status Limit Enrolled Waitlist
C 1350 1350 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22141 LAB 8 We 12:00pm - 1:59pm Evans 458 4 30/0/0
22142 LAB 8 We 12:00pm - 1:59pm Cory 105 4 30/0/0
22143 LAB 8 We 12:00pm - 1:59pm Evans B6 4 30/0/0
22144 LAB 8 We 12:00pm - 1:59pm Sutardja Dai 254 4 30/0/0
22145 LAB 8 We 2:00pm - 3:59pm Evans 458 4 30/0/0
22146 LAB 8 We 2:00pm - 3:59pm Cory 105 4 30/0/0
22147 LAB 8 We 2:00pm - 3:59pm Evans B6 4 30/0/0
22148 LAB 8 We 2:00pm - 3:59pm Sutardja Dai 254 4 30/0/0
22149 LAB 8 We 4:00pm - 5:59pm Evans 458 4 30/0/0
22150 LAB 8 We 4:00pm - 5:59pm Cory 105 4 30/0/0
22151 LAB 8 We 4:00pm - 5:59pm Evans B6 4 30/0/0
22152 LAB 8 We 4:00pm - 5:59pm Sutardja Dai 254 4 30/0/0
22153 LAB 8 We 6:00pm - 7:59pm Evans 458 4 30/0/0
22154 LAB 8 We 6:00pm - 7:59pm Cory 105 4 30/0/0
22155 LAB 8 We 6:00pm - 7:59pm Evans B6 4 30/0/0
22156 LAB 8 We 6:00pm - 7:59pm Sutardja Dai 254 4 30/0/0
22157 LAB 8 Th 8:00am - 9:59am Evans 458 4 30/0/0
22158 LAB 8 Th 8:00am - 9:59am Cory 105 4 30/0/0
22159 LAB 8 Th 8:00am - 9:59am Evans B6 4 30/0/0
22160 LAB 8 Th 8:00am - 9:59am Sutardja Dai 254 4 30/0/0
22667 LAB 8 Th 10:00am - 11:59am Evans 458 4 30/0/0
22668 LAB 8 Th 10:00am - 11:59am Cory 105 4 30/0/0
22669 LAB 8 Th 10:00am - 11:59am Evans B6 4 30/0/0
22670 LAB 8 Th 10:00am - 11:59am Sutardja Dai 254 4 30/0/0
22982 LAB 8 Th 12:00pm - 1:59pm Evans 458 4 30/0/0
23030 LAB 8 Th 12:00pm - 1:59pm Cory 105 4 30/0/0
23033 LAB 8 Th 12:00pm - 1:59pm Evans B6 4 30/0/0
23034 LAB 8 Th 12:00pm - 1:59pm Sutardja Dai 254 4 30/0/0
23035 LAB 8 Th 2:00pm - 3:59pm Evans 458 4 30/0/0
23036 LAB 8 Th 2:00pm - 3:59pm Cory 105 4 30/0/0
23037 LAB 8 Th 2:00pm - 3:59pm Evans B6 4 30/0/0
23038 LAB 8 Th 2:00pm - 3:59pm Sutardja Dai 254 4 30/0/0
23350 LAB 8 Th 4:00pm - 5:59pm Evans 458 4 30/0/0
23351 LAB 8 Th 4:00pm - 5:59pm Cory 105 4 30/0/0
23352 LAB 8 Th 4:00pm - 5:59pm Evans B6 4 30/0/0
23353 LAB 8 Th 4:00pm - 5:59pm Sutardja Dai 254 4 30/0/0
23354 LAB 8 Th 6:00pm - 7:59pm Evans 458 4 30/0/0
23355 LAB 8 Th 6:00pm - 7:59pm Cory 105 4 30/0/0
23397 LAB 8 Th 6:00pm - 7:59pm Evans B6 4 30/0/0
24278 LAB 8 Fr 12:00pm - 1:59pm Sutardja Dai 254 4 30/0/0
24279 LAB 8 Fr 2:00pm - 3:59pm Evans 458 4 30/0/0
24280 LAB 8 Fr 12:00pm - 1:59pm Evans B6 4 30/0/0
24560 LAB 8 Fr 2:00pm - 3:59pm Sutardja Dai 254 4 30/0/0
24561 LAB 8 Fr 12:00pm - 1:59pm Evans 458 4 30/0/0
24562 LAB 8 Fr 12:00pm - 1:59pm Cory 105 4 30/0/0
24563 LAB 8 Th 2:00pm - 3:59pm 4 30/0/0
24564 LAB 8 Fr 8:00am - 9:59am 4 30/0/0
24565 LAB 8 Fr 2:00pm - 3:59pm 4 30/0/0
24566 LAB 8 Fr 2:00pm - 3:59pm 4 30/0/0
24567 LAB 8 Fr 12:00pm - 1:59pm 4 30/0/0
32816 LAB 8 4 1350/1350/0

2020 Spring STAT 20 001 LEC 001 - Introduction to Probability and Statistics

Course Times
TuTh 6:30pm - 7:59pm
Course Location
Wheeler 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)
Fletcher H Ibser
Status Limit Enrolled Waitlist
O 350 349 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21873 LAB 20 MoWe 8:00am - 8:59am Dwinelle 234 4 25/24/0
21874 LAB 20 MoWe 8:00am - 8:59am Cory 285 4 25/25/0
21875 LAB 20 MoWe 9:00am - 9:59am Evans 334 4 25/25/0
21876 LAB 20 MoWe 10:00am - 10:59am Hildebrand B51 4 25/25/0
21877 LAB 20 MoWe 10:00am - 10:59am Hildebrand B56 4 25/25/0
21878 LAB 20 MoWe 11:00am - 11:59am Evans 334 4 25/25/0
21879 LAB 20 MoWe 12:00pm - 12:59pm Evans 9 4 25/25/0
21880 LAB 20 MoWe 12:00pm - 12:59pm Evans 334 4 25/25/0
21881 LAB 20 MoWe 1:00pm - 1:59pm Evans 332 4 25/25/0
21882 LAB 20 MoWe 1:00pm - 1:59pm Evans 334 4 25/25/0
21883 LAB 20 MoWe 2:00pm - 2:59pm Evans 332 4 25/25/0
21884 LAB 20 MoWe 2:00pm - 2:59pm Evans 334 4 25/25/0
21885 LAB 20 MoWe 3:00pm - 3:59pm Evans 332 4 25/25/0
21886 LAB 20 MoWe 3:00pm - 3:59pm Evans 334 4 25/25/0

2020 Spring STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Valley Life Sciences 2040
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 158 157 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32519 LAB 20 TuTh 8:00am - 8:59am Evans 330 4 26/24/0
32520 LAB 20 TuTh 9:00am - 9:59am Evans 330 4 28/27/0
32521 LAB 20 TuTh 10:00am - 10:59am Evans 330 4 26/25/0
32522 LAB 20 TuTh 11:00am - 11:59am Evans 330 4 27/27/0
32523 LAB 20 TuTh 12:00pm - 12:59pm Evans 330 4 26/26/0
32524 LAB 20 TuTh 1:00pm - 1:59pm Evans 330 4 28/28/0

2020 Spring STAT 33A 001 LEC 001 - Introduction to Programming in R

Course Times
Mo 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)
Nick Ulle
Status Limit Enrolled Waitlist
O 140 127 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31223 LAB 33 We 10:00am - 10:59am Evans 342 1 35/30/0
31224 LAB 33 We 9:00am - 9:59am Evans 342 1 35/34/0
31225 LAB 33 We 11:00am - 11:59am Evans 342 1 35/31/0
31226 LAB 33 We 12:00pm - 12:59pm Evans 342 1 35/32/0

2020 Spring STAT 33B 001 LEC 001 - Introduction to Advanced Programming in R

Course Times
We 9:00am - 9:59am
Course Location
Birge 50
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)
Nick Ulle
Status Limit Enrolled Waitlist
O 140 69 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
31231 LAB 33 1 0/0/0
31232 LAB 33 Fr 10:00am - 10:59am Evans 342 1 35/20/0
31233 LAB 33 Fr 11:00am - 11:59am Evans 340 1 35/27/0
31234 LAB 33 Fr 12:00pm - 12:59pm Hearst Gym 242 1 35/22/0

2020 Spring STAT 88 001 LEC 001 - Probability and Mathematical Statistics in Data Science

Course Times
MoWeFr 2:00pm - 2:59pm
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)
Adam R. Lucas
Status Limit Enrolled Waitlist
O 300 287 0

2020 Spring STAT 89A 001 LEC 001 - Linear Algebra for Data Science

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 60
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 William Mahoney
Status Limit Enrolled Waitlist
O 100 73 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23377 LAB 89 Mo 8:00am - 9:59am Evans 342 4 25/14/0
23378 LAB 89 Mo 10:00am - 11:59am Evans 342 4 25/22/0

2020 Spring STAT 102 001 LEC 001 - Data, Inference, and Decisions

Course Times
TuTh 9:30am - 10:59am
Course Location
Genetics & Plant Bio 100
Course Units
4
Course number
102
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, Moritz Hardt
Status Limit Enrolled Waitlist
O 160 159 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
32461 LAB 102 We 9:00am - 9:59am Evans 344 4 29/28/0
32464 LAB 102 We 10:00am - 10:59am Evans 344 4 27/25/0
32466 LAB 102 We 11:00am - 11:59am Evans 344 4 28/27/1
32468 LAB 102 We 12:00pm - 12:59pm Evans 344 4 27/26/0
32470 LAB 102 We 1:00pm - 1:59pm Evans 344 4 27/26/0
32473 LAB 102 We 2:00pm - 2:59pm Evans 344 4 28/27/0
32475 LAB 102 4 0/0/0
32477 LAB 102 4 0/0/0

2020 Spring STAT 131A 001 LEC 001 - Statistical Methods for Data Science

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 10
Course Units
4
Course number
131A
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)
William Fithian
Status Limit Enrolled Waitlist
O 70 65 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21892 LAB 131 TuTh 4:00pm - 4:59pm Evans 332 4 38/32/0
21893 LAB 131 4 0/0/0
32429 LAB 131 4 0/0/0
32430 LAB 131 TuTh 5:00pm - 5:59pm Evans 332 4 38/33/0
32431 LAB 131 4 0/0/0
32432 LAB 131 4 0/0/0

2020 Spring STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Valley Life Sciences 2050
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 250 212 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21895 LAB 133 Th 9:00am - 10:59am Evans 340 3 31/36/0
21896 LAB 133 3 0/0/0
21897 LAB 133 Th 11:00am - 12:59pm Evans 340 3 30/25/0
21898 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/28/0
21899 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 30/30/0
21900 LAB 133 Th 3:00pm - 4:59pm Evans 340 3 31/27/0
21901 LAB 133 3 0/0/0
21902 LAB 133 Fr 11:00am - 12:59pm Evans 342 3 30/30/0
23060 LAB 133 Fr 3:00pm - 4:59pm Evans 340 3 30/12/0
23061 LAB 133 Fr 1:00pm - 2:59pm Evans 342 3 30/24/0

2020 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)
Brett T Kolesnik
Status Limit Enrolled Waitlist
O 400 320 0

2020 Spring 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 210 186 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21915 LAB 135 Fr 12:00pm - 1:59pm Evans 330 4 35/34/0
21916 LAB 135 Fr 12:00pm - 1:59pm Etcheverry 3109 4 35/29/0
21917 LAB 135 Fr 2:00pm - 3:59pm Hildebrand B51 4 35/27/0
21918 LAB 135 Fr 2:00pm - 3:59pm Evans 9 4 35/32/0
21919 LAB 135 Fr 4:00pm - 5:59pm Evans 9 4 35/33/0
21920 LAB 135 Fr 4:00pm - 5:59pm Evans 70 4 35/31/0

2020 Spring STAT 140 001 LEC 001 - Probability for Data Science

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Li Ka Shing 245
Course Units
4
Course number
140
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
O 297 271 0

2020 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)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 73 72 0

2020 Spring STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Latimer 120
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
O 140 95 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21922 LAB 151 Fr 9:00am - 10:59am Evans 332 4 35/25/0
21923 LAB 151 Fr 11:00am - 12:59pm Evans 332 4 35/29/0
22601 LAB 151 Fr 1:00pm - 2:59pm Evans 332 4 35/21/0
22602 LAB 151 Fr 3:00pm - 4:59pm Evans 332 4 35/20/0

2020 Spring STAT 152 001 LEC 001 - Sampling Surveys

Course Times
TuTh 11:00am - 12:29pm
Course Location
Tan 180
Course Units
4
Course number
152
Course description

Theory and practice of sampling from finite populations. Simple random, stratified, cluster, and double sampling. Sampling with unequal probabilities. Properties of various estimators including ratio, regression, and difference estimators. Error estimation for complex samples.

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 70 53 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21925 LAB 152 Mo 1:00pm - 2:59pm Evans 340 4 35/30/0
21926 LAB 152 Mo 3:00pm - 4:59pm Evans 340 4 35/23/0

2020 Spring STAT 153 001 LEC 001 - Introduction to Time Series

Course Times
TuTh 3:30pm - 4:59pm
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)
Jared D Fisher
Status Limit Enrolled Waitlist
C 140 140 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21928 LAB 153 Fr 9:00am - 10:59am Evans 334 4 35/35/0
21929 LAB 153 Fr 11:00am - 12:59pm Evans 334 4 35/35/0
21930 LAB 153 Fr 12:00pm - 1:59pm Evans 344 4 35/35/0
21931 LAB 153 Fr 2:00pm - 3:59pm Evans 344 4 35/35/0

2020 Spring STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Hearst Mining 390
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)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 140 117 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
21933 LAB 154 Mo 9:00am - 10:59am Evans 330 4 35/30/0
21934 LAB 154 Mo 11:00am - 12:59pm Evans 330 4 35/33/0

2020 Spring STAT 155 001 LEC 001 - Game Theory

Course Times
MoWeFr 12:00pm - 12:59pm
Course Location
Cory 277
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)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 100 95 0

2020 Spring STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics

Course Times
MoWe 4:00pm - 5:29pm
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)
James Bentley Brown
Status Limit Enrolled Waitlist
O 15 13 0

2020 Spring STAT 158 001 LEC 001 - The Design and Analysis of Experiments

Course Times
TuTh 5:00pm - 6:29pm
Course Location
Barrows 170
Course Units
4
Course number
158
Course description

An introduction to the design and analysis of experiments. This course covers planning, conducting, and analyzing statistically designed experiments with an emphasis on hands-on experience. Standard designs studied include factorial designs, block designs, latin square designs, and repeated measures designs. Other topics covered include the principles of design, randomization, ANOVA, response surface methodoloy, and computer experiments.

Instructor(s)
Wooseok Ha
Status Limit Enrolled Waitlist
O 65 47 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23299 LAB 158 Mo 9:00am - 10:59am Evans 340 4 33/17/0
23300 LAB 158 Mo 11:00am - 12:59pm Evans 340 4 32/30/0

2020 Spring STAT C205B 001 LEC 001 - Probability Theory

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 334
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)
James W Pitman
Status Limit Enrolled Waitlist
O 25 7 0

2020 Spring STAT C206B 001 LEC 001 - Advanced Topics in Probability and Stochastic Processes

Course Times
TuTh 11:00am - 12:29pm
Course Location
Evans 334
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
Status Limit Enrolled Waitlist
O 30 9 0

2020 Spring STAT 210B 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 9:30am - 10:59am
Course Location
Etcheverry 3106
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)
Yan Shuo Tan
Status Limit Enrolled Waitlist
O 50 44 0