Courses

2024 Fall STAT 2 001 LEC 001 - Introduction to Statistics

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

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

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 450 265 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22953 LAB 2 TuTh 12:00pm - 12:59pm Evans 334 4 25/12/0
22954 LAB 2 TuTh 1:00pm - 1:59pm Evans 334 4 25/18/0
22955 LAB 2 TuTh 1:00pm - 1:59pm Evans 344 4 25/17/0
22913 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 25/16/0
26041 LAB 2 TuTh 3:00pm - 3:59pm Evans 332 4 25/6/0
26042 LAB 2 TuTh 3:00pm - 3:59pm Evans 334 4 25/10/0
22910 LAB 2 TuTh 9:00am - 9:59am Evans 344 4 25/8/0
22911 LAB 2 TuTh 10:00am - 10:59am Evans 344 4 25/18/0
22912 LAB 2 TuTh 10:00am - 10:59am Evans 334 4 25/16/0
22914 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 25/20/0
22950 LAB 2 TuTh 11:00am - 11:59am Evans 334 4 25/18/0
25402 LAB 2 TuTh 2:00pm - 2:59pm Evans 334 4 25/16/0
25403 LAB 2 TuTh 2:00pm - 2:59pm Evans 332 4 25/16/0
33368 LAB 2 TuTh 4:00pm - 4:59pm Evans 332 4 25/22/0
33369 LAB 2 TuTh 5:00pm - 5:59pm Evans 332 4 25/12/0
22919 LAB 2 TuTh 9:00am - 9:59am Evans 334 4 25/12/0
22951 LAB 2 TuTh 11:00am - 11:59am Evans 344 4 25/17/0
22952 LAB 2 TuTh 12:00pm - 12:59pm Evans 344 4 25/11/0

2024 Fall STAT C8 001 LEC 001 - Foundations of Data Science

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

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

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24511 LAB 8 4 0/0/0

2024 Fall STAT 20 002 LEC 002 - Introduction to Probability and Statistics

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Andrew Bray
Status Limit Enrolled Waitlist
O 96 61 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
22920 LAB 20 WeFr 10:00am - 10:59am Moffitt Library 145 4 96/61/1

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

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

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 122 23 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22924 LAB 20 WeFr 9:00am - 9:59am Wheeler 212 4 122/23/0

2024 Fall STAT 20 004 LEC 004 - Introduction to Probability and Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 61 12
Class # Section Date And Times Location Units LIM/ENR/WAIT
26072 LAB 20 WeFr 12:00pm - 12:59pm Moffitt Library 145 4 96/61/12

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

Course Times
MoTuTh 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)
Adam R Lucas
Status Limit Enrolled Waitlist
O 96 59 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26074 LAB 20 TuTh 11:00am - 11:59am Moffitt Library 145 4 96/59/0

2024 Fall STAT 20 006 LEC 006 - Introduction to Probability and Statistics

Course Times
MoTuTh 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)
Adam R Lucas
Status Limit Enrolled Waitlist
O 96 61 10
Class # Section Date And Times Location Units LIM/ENR/WAIT
26076 LAB 20 TuTh 1:00pm - 1:59pm Moffitt Library 145 4 96/61/10

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

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

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

Instructor(s)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 40 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26078 LAB 20 TuTh 5:00pm - 5:59pm Moffitt Library 145 4 96/40/0

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

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Andrea Massari
Status Limit Enrolled Waitlist
O 96 61 8
Class # Section Date And Times Location Units LIM/ENR/WAIT
26878 LAB 20 WeFr 2:00pm - 2:59pm Moffitt Library 145 4 96/61/8

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

Course Times
MoTuTh 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)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 96 61 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
26080 LAB 20 TuTh 3:00pm - 3:59pm Moffitt Library 145 4 96/61/4

2024 Fall STAT C102 001 LEC 001 - Data, Inference, and Decisions

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Stanley 105
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)
Alexander Strang, Ramesh Sridharan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24576 LAB 102 Mo 12:00pm - 12:59pm Etcheverry 3113 4 0/0/0
24677 LAB 102 Mo 1:00pm - 1:59pm Social Sciences Building 170 4 0/0/0
24679 LAB 102 Mo 2:00pm - 2:59pm Cory 289 4 0/0/0
24681 LAB 102 Mo 3:00pm - 3:59pm Genetics & Plant Bio 103 4 0/0/0
24683 LAB 102 Mo 4:00pm - 4:59pm Wheeler 20 4 0/0/0
25177 LAB 102 4 0/0/0
24570 LAB 102 Mo 9:00am - 9:59am Cory 241 4 0/0/0
24572 LAB 102 Mo 10:00am - 10:59am Hearst Field Annex B5 4 0/0/0
24574 LAB 102 Mo 11:00am - 11:59am Dwinelle 219 4 0/0/0
24635 LAB 375 21/19/0

2024 Fall STAT C131A 001 LEC 001 - Statistical Methods for Data Science

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Morgan 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.

Status Limit Enrolled Waitlist
C 70 70 40
Class # Section Date And Times Location Units LIM/ENR/WAIT
24922 LAB 131 TuTh 11:00am - 11:59am Evans 330 4 35/35/20
24923 LAB 131 TuTh 4:00pm - 4:59pm Evans 344 4 35/35/20

2024 Fall STAT 133 001 LEC 001 - Concepts in Computing with Data

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Stanley 105
Course Units
3
Course number
133
Course description

An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results. This course uses R as its primary computing language; details are determined by the instructor.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 180 109 44
Class # Section Date And Times Location Units LIM/ENR/WAIT
22958 LAB 133 Th 9:00am - 10:59am Evans 342 3 30/18/2
24985 LAB 133 Th 3:00pm - 4:59pm Evans 342 3 30/22/8
24986 LAB 133 Th 3:30pm - 5:29pm Evans 330 3 30/13/10
22959 LAB 133 Th 9:00am - 10:59am Evans 330 3 30/16/6
22960 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/14/10
22961 LAB 133 Th 1:00pm - 2:59pm Evans 342 3 30/26/8

2024 Fall STAT 134 001 LEC 001 - Concepts of Probability

Course Times
TuTh 12:30pm - 1:59pm
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)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 360 300 35
Class # Section Date And Times Location Units LIM/ENR/WAIT
22937 LAB 201 We 1:00pm - 2:59pm Evans 332 4 35/33/0
22938 LAB 201 We 3:00pm - 4:59pm Evans 332 4 35/26/0

2024 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 9:00am - 9:59am
Course Location
Genetics & Plant Bio 100
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)
Sam Pimentel
Status Limit Enrolled Waitlist
C 140 140 25
Class # Section Date And Times Location Units LIM/ENR/WAIT
22967 LAB 135 Fr 11:00am - 12:59pm Evans 342 4 35/35/7
23395 LAB 135 Fr 2:00pm - 3:59pm Evans 330 4 35/35/5
23396 LAB 135 Fr 4:00pm - 5:59pm Evans 330 4 35/35/7
33324 LAB 135 Fr 1:00pm - 2:59pm Evans 342 4 35/35/6

2024 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 11:00am - 11:59am
Course Location
GSPP 150
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.

Status Limit Enrolled Waitlist
O 70 53 14

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

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Social Sciences Building 20
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. This course uses either R or Python as its primary computing language, as determined by the instructor.

Instructor(s)
Ryan Giordano
Status Limit Enrolled Waitlist
O 70 30 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22900 LAB 151 We 9:00am - 10:59am Evans 342 4 35/8/0
22901 LAB 151 We 2:00pm - 3:59pm Evans 342 4 35/22/0

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

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Valley Life Sciences 2040
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. This course uses either R or Python as its primary computing language, as determined by the instructor.

Instructor(s)
Ryan Tibshirani
Status Limit Enrolled Waitlist
C 70 70 17
Class # Section Date And Times Location Units LIM/ENR/WAIT
23760 LAB 153 Fr 9:00am - 10:59am Evans 344 4 35/35/8
23761 LAB 153 Fr 1:00pm - 2:59pm Evans 332 4 35/35/9

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

Course Times
TuTh 9:30am - 10:59am
Course Location
Etcheverry 3108
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. This course uses Python as its primary computing language; details are determined by the instructor.

Instructor(s)
Song Mei
Status Limit Enrolled Waitlist
O 50 28 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22884 LAB 154 Fr 11:00am - 12:59pm Evans 334 4 25/14/0
22885 LAB 154 Fr 3:00pm - 4:59pm Evans 342 4 25/14/0

2024 Fall STAT 155 001 LEC 001 - Game Theory

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Moffitt Library 102
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 70 45 0

2024 Fall STAT 156 001 LEC 001 - Causal Inference

Course Times
TuTh 11:00am - 12:29pm
Course Location
Moffitt Library 101
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. This course uses R as its primary computing language; details are determined by the instructor.

Status Limit Enrolled Waitlist
O 30 25 1
Class # Section Date And Times Location Units LIM/ENR/WAIT
33480 LAB 156 Mo 10:00am - 11:59am Evans 340 4 15/13/0
33481 LAB 156 Mo 4:00pm - 5:59pm Evans 340 4 15/12/1

2024 Fall STAT 201A 001 LEC 001 - Introduction to Probability at an Advanced Level

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Stanley 106
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)
Yun S Song
Status Limit Enrolled Waitlist
O 90 0 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
22893 LAB 201 Mo 12:00pm - 1:59pm Evans 330 4 30/0/0
22894 LAB 201 Mo 2:00pm - 3:59pm Evans 340 4 30/0/0
33513 LAB 201 Mo 4:00pm - 5:59pm Evans 330 4 30/0/4

2024 Fall STAT 201B 001 LEC 001 - Introduction to Statistics at an Advanced Level

Course Times
TuTh 11:00am - 12:29pm
Course Location
Stanley 106
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 90 8 5
Class # Section Date And Times Location Units LIM/ENR/WAIT
22896 LAB 201 We 12:00pm - 1:59pm Evans 342 4 30/5/2
22897 LAB 201 We 2:00pm - 3:59pm Evans 340 4 30/1/2
33514 LAB 201 We 4:00pm - 5:59pm Evans 340 4 30/2/1

2024 Fall STAT C205A 001 LEC 001 - Probability Theory

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Evans 330
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)
Steven N Evans
Status Limit Enrolled Waitlist
O 21 6 0

2024 Fall STAT 210A 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 11:00am - 12:29pm
Course Location
Evans 60
Course Units
4
Course number
210A
Course description

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

Instructor(s)
William Fithian
Status Limit Enrolled Waitlist
O 60 17 0

2024 Fall STAT 215A 001 LEC 001 - Applied Statistics and Machine Learning

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Wheeler 204
Course Units
4
Course number
215A
Course description

Applied statistics and machine learning, focusing on answering scientific questions using data, the data science life cycle, critical thinking, reasoning, methodology, and trustworthy and reproducible computational practice. Hands-on-experience in open-ended data labs, using programming languages such as R and Python. Emphasis on understanding and examining the assumptions behind standard statistical models and methods and the match between the assumptions and the scientific question. Exploratory data analysis. Model formulation, fitting, model testing and validation, interpretation, and communication of results. Methods, including linear regression and generalizations, decision trees, random forests, simulation, and randomization methods.

Instructor(s)
Bin Yu
Status Limit Enrolled Waitlist
O 30 13 4
Class # Section Date And Times Location Units LIM/ENR/WAIT
22922 LAB 215 Fr 9:00am - 10:59am Evans 342 4 30/13/4

2024 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 90 5 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22977 LAB 243 Fr 11:00am - 12:59pm Evans 340 4 30/0/0
33515 LAB 243 Fr 1:00pm - 2:59pm Evans 340 4 30/3/0
22978 LAB 243 Fr 3:00pm - 4:59pm Evans 340 4 30/2/0

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

Course Times
TuTh 9:30am - 10:59am
Course Location
Etcheverry 3108
Course Units
4
Course number
254
Course description

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

Instructor(s)
Song Mei
Status Limit Enrolled Waitlist
O 20 0 6
Class # Section Date And Times Location Units LIM/ENR/WAIT
27110 LAB 254 Fr 11:00am - 12:59pm Evans 334 4 10/0/3
27111 LAB 254 Fr 3:00pm - 4:59pm Evans 342 4 10/0/3

2024 Fall STAT 256 001 LEC 001 - Causal Inference

Course Times
TuTh 11:00am - 12:29pm
Course Location
Moffitt Library 101
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.

Status Limit Enrolled Waitlist
O 40 25 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
33478 LAB 256 Mo 10:00am - 11:59am Evans 340 4 20/14/0
33479 LAB 256 Mo 4:00pm - 5:59pm Evans 340 4 20/11/0

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

Course Times
TuTh 11:00am - 12:29pm
Course Location
Evans 340
Course Units
3
Course number
260
Course description

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

Instructor(s)
Nikita Zhivotovskiy
Status Limit Enrolled Waitlist
O 15 8 0

2024 Fall STAT 272 001 SES 001 - Statistical Consulting

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

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

Instructor(s)
James Bentley Brown
Status Limit Enrolled Waitlist
O 12 1 0

2024 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)
Facundo Fabian Sapienza
Status Limit Enrolled Waitlist
O 35 0 0

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

Course Times
We 3:00pm - 3:59pm
Course Location
Evans 1011
Course number
278B
Course description

Special topics, by means of lectures and informational conferences.

Instructor(s)
Shuni Li
Status Limit Enrolled Waitlist
O 10 0 0

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

Course number
375
Course description

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

Instructor(s)
Andrew Bray
Status Limit Enrolled Waitlist
O 20 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23089 LAB 375 20/0/0

2024 Summer STAT 2 001 LEC 001 - Introduction to Statistics

Course Times
Su 12:00am - 12:01am
Course Location
Internet/Online
Course Units
4
Course number
2
Course description

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

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 152 144 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14298 LAB 2 TuTh 2:00pm - 3:59pm Internet/Online 4 33/32/0
14305 LAB 2 TuTh 5:00pm - 6:59pm Internet/Online 4 33/33/0
16051 LAB 2 TuTh 12:00pm - 1:59pm Internet/Online 4 33/24/0
14023 LAB 2 TuTh 9:00am - 10:59am Internet/Online 4 33/32/0
14024 LAB 2 TuTh 11:30am - 1:29pm Internet/Online 4 33/23/0

2024 Summer STAT C8 001 LEC 001 - Foundations of Data Science

Course Times
MoTuWeThFr 11:00am - 11:59am
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.

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14040 LAB 8 MoWe 5:00pm - 6:59pm Hearst Field Annex B5 4 0/0/0
14041 LAB 8 MoWe 1:00pm - 2:59pm Dwinelle 242 4 0/0/0
14049 LAB 8 MoWe 3:00pm - 4:59pm Dwinelle 242 4 0/0/0
14050 LAB 8 MoWe 5:00pm - 6:59pm Dwinelle 242 4 0/0/0
14051 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3113 4 0/0/0
14052 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3111 4 0/0/0
14056 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3109 4 0/0/0
14057 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3107 4 0/0/0
14064 LAB 8 MoWe 1:00pm - 2:59pm Etcheverry 3105 4 0/0/0
14065 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3113 4 0/0/0
14148 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3111 4 0/0/0
14149 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3109 4 0/0/0
14150 LAB 8 MoWe 3:00pm - 4:59pm Etcheverry 3105 4 0/0/0
14151 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3109 4 0/0/0
14152 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3107 4 0/0/0
14219 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3111 4 0/0/0
14220 LAB 8 MoWe 5:00pm - 6:59pm Etcheverry 3113 4 0/0/0
14221 LAB 8 4 0/0/0

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

Course Times
Th 2:00pm - 3:59pm
Course Location
Cory 277
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
O 96 82 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14026 LAB 20 Th 4:00pm - 5:29pm Cory 277 4 96/82/0

2024 Summer STAT 21 001 LEC 001 - Introductory Probability and Statistics for Business

Course Times
Su 12:00am - 12:01am
Course Location
Internet/Online
Course Units
4
Course number
21
Course description

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

Instructor(s)
Andrea Massari
Status Limit Enrolled Waitlist
O 251 235 0

2024 Summer STAT C100 001 LEC 001 - Principles & Techniques of Data Science

Course Times
MoTuThFr 9:30am - 10:59am
Course Location
Lewis 100
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)
Kevin Miao, Maya Shen
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14112 LAB 100 TuTh 4:00pm - 4:59pm 4 0/0/0
14114 LAB 100 TuTh 4:00pm - 4:59pm 4 0/0/0
14116 LAB 100 TuTh 12:00pm - 12:59pm 4 0/0/0
14117 LAB 100 TuTh 12:00pm - 12:59pm 4 0/0/0
14119 LAB 100 TuTh 11:00am - 11:59am 4 0/0/0
14129 LAB 100 4 0/0/0
14223 LAB 100 4 0/0/0

2024 Summer STAT 134 001 LEC 001 - Concepts of Probability

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

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

Instructor(s)
Michael Xiao
Status Limit Enrolled Waitlist
O 132 114 0

2024 Summer STAT 135 001 LEC 001 - Concepts of Statistics

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

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

Instructor(s)
Mary Combs
Status Limit Enrolled Waitlist
O 60 51 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
14330 LAB 135 TuWeTh 3:30pm - 4:29pm Evans 334 4 30/26/0
14331 LAB 135 TuWeTh 4:30pm - 5:29pm Evans 334 4 30/25/0

2024 Summer STAT 155 001 LEC 001 - Game Theory

Course Times
TuWeTh 10:00am - 11:00am
Course Location
Physics Building 2
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)
Bruno Cittolin Smaniotto
Status Limit Enrolled Waitlist
O 75 64 0

2024 Spring STAT 2 001 LEC 001 - Introduction to Statistics

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

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

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
C 448 466 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19121 LAB 2 TuTh 9:00am - 9:59am Evans 332 4 29/29/0
19122 LAB 2 TuTh 10:00am - 10:59am Evans 332 4 28/28/0
19123 LAB 2 TuTh 10:00am - 10:59am Evans 334 4 29/28/0
19124 LAB 2 TuTh 11:00am - 11:59am Evans 332 4 30/30/0
19125 LAB 2 TuTh 11:00am - 11:59am Evans 334 4 31/31/0
19126 LAB 2 TuTh 12:00pm - 12:59pm Evans 332 4 31/29/0
19127 LAB 2 TuTh 12:00pm - 12:59pm Evans 334 4 30/29/0
19128 LAB 2 TuTh 1:00pm - 1:59pm Evans 332 4 30/30/0
21539 LAB 2 TuTh 1:00pm - 1:59pm Evans 334 4 29/29/0
21540 LAB 2 TuTh 2:00pm - 2:59pm Evans 332 4 30/30/0
21541 LAB 2 TuTh 2:00pm - 2:59pm Evans 334 4 30/30/0
21542 LAB 2 TuTh 3:00pm - 3:59pm Evans 332 4 28/27/0
21543 LAB 2 TuTh 3:00pm - 3:59pm Evans 334 4 30/29/0
21818 LAB 2 TuTh 4:00pm - 4:59pm Evans 332 4 29/28/0
22748 LAB 2 TuTh 4:00pm - 4:59pm Evans 334 4 29/29/0
22749 LAB 2 TuTh 5:00pm - 5:59pm Evans 332 4 31/30/0

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

Course Times
MoTuTh 9:00am - 9:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

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

2024 Spring STAT 20 002 LEC 002 - Introduction to Probability and Statistics

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

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

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

2024 Spring STAT 20 004 LEC 004 - Introduction to Probability and Statistics

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

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

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

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

Course Times
MoTuTh 1:00pm - 1:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 96 96 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22447 LAB 20 TuTh 2:00pm - 2:59pm Moffitt Library 145 4 96/96/0

2024 Spring STAT 20 006 LEC 006 - Introduction to Probability and Statistics

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

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

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

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

Course Times
MoTuTh 3:00pm - 3:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

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

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

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

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

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

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

Course Times
MoTuTh 11:00am - 11:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

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

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

Course Times
Mo 1:00pm - 1:59pm
Course Location
Anthro/Art Practice Bldg 160
Course Units
1
Course number
33A
Course description

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 79 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
20424 LAB 33 We 10:00am - 10:59am Evans 342 1 25/20/0
20425 LAB 33 We 9:00am - 9:59am Evans 342 1 25/18/0
20426 LAB 33 We 1:00pm - 1:59pm Evans 342 1 25/24/0
20427 LAB 33 We 2:00pm - 2:59pm Evans 342 1 25/17/0

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

Course Times
We 2:00pm - 2:59pm
Course Location
Cory 277
Course Units
1
Course number
33B
Course description

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 100 96 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
20429 LAB 33 Mo 10:00am - 10:59am Evans 342 1 25/21/0
21089 LAB 33 Mo 9:00am - 9:59am Evans 342 1 25/24/0
21142 LAB 33 Mo 12:00pm - 12:59pm Evans 342 1 25/25/0
21544 LAB 33 Mo 1:00pm - 1:59pm Evans 342 1 25/26/0

2024 Spring STAT C100 001 LEC 001 - Principles & Techniques of Data Science

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

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

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

2024 Spring STAT C102 001 LEC 001 - Data, Inference, and Decisions

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

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

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

2024 Spring STAT 133 001 LEC 001 - Concepts in Computing with Data

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

An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results. This course uses R as its primary computing language; details are determined by the instructor.

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
C 194 193 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19133 LAB 133 Th 9:00am - 10:59am Evans 340 3 31/32/0
19134 LAB 133 Th 9:00am - 10:59am Evans 342 3 31/31/0
19135 LAB 133 Th 11:00am - 12:59pm Evans 340 3 32/32/0
19136 LAB 133 Th 11:00am - 12:59pm Evans 342 3 32/29/0
19137 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 35/35/0
19138 LAB 133 Th 4:00pm - 5:59pm Evans 330 3 34/34/0

2024 Spring STAT 134 001 LEC 001 - Concepts of Probability

Course Times
TuTh 6:30pm - 7:59pm
Course Location
Dwinelle 155
Course Units
4
Course number
134
Course description

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

Instructor(s)
Vadim Gorin
Status Limit Enrolled Waitlist
O 420 415 0

2024 Spring STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Valley Life Sciences 2040
Course Units
4
Course number
135
Course description

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

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 141 125 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19151 LAB 135 Fr 12:00pm - 1:59pm Evans 344 4 35/35/0
19152 LAB 135 Fr 12:00pm - 1:59pm Evans 342 4 35/26/0
19153 LAB 135 Fr 2:00pm - 3:59pm Evans 344 4 36/34/0
19154 LAB 135 Fr 3:00pm - 4:59pm Evans 342 4 35/30/0

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

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Valley Life Sciences 2050
Course Units
4
Course number
C140
Course description

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

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

2024 Spring STAT 150 001 LEC 001 - Stochastic Processes

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

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

Instructor(s)
Benson C Au, Ella Veronika Hiesmayr
Status Limit Enrolled Waitlist
O 114 90 0

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

Course Times
TuTh 9:30am - 10:59am
Course Location
Etcheverry 3108
Course Units
4
Course number
151A
Course description

A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies. This course uses either R or Python as its primary computing language, as determined by the instructor.

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

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

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Stanley 106
Course Units
4
Course number
153
Course description

An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra. This course uses either R or Python as its primary computing language, as determined by the instructor.

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

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

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
Course Units
4
Course number
154
Course description

Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions. This course uses Python as its primary computing language; details are determined by the instructor.

Instructor(s)
Song Mei
Status Limit Enrolled Waitlist
C 61 62 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
19161 LAB 154 Mo 12:00pm - 1:59pm Evans 334 4 31/30/0
20168 LAB 154 Mo 3:00pm - 4:59pm Evans 334 4 31/32/0

2024 Spring STAT 155 001 LEC 001 - Game Theory

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

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

Instructor(s)
Adrian Gonzalez Casanova Soberon
Status Limit Enrolled Waitlist
O 100 80 0

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

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Evans 340
Course Units
3
Course number
157
Course description

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

Instructor(s)
Alexander Strang
Status Limit Enrolled Waitlist
C 30 30 0

2024 Spring STAT 165 001 LEC 001 - Forecasting

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

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

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

2024 Spring STAT C205B 001 LEC 001 - Probability Theory

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Evans 344
Course Units
4
Course number
C205B
Course description

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

Instructor(s)
Shirshendu Ganguly, Mriganka Basu Roy Chowdhury
Status Limit Enrolled Waitlist
O 15 7 0

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

Course Times
TuTh 9:30am - 10:59am
Course Location
Evans 344
Course Units
3
Course number
C206B
Course description

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

Instructor(s)
Steven N Evans, Mriganka Basu Roy Chowdhury
Status Limit Enrolled Waitlist
O 15 7 0

2024 Spring STAT 210B 001 LEC 001 - Theoretical Statistics

Course Times
TuTh 11:00am - 12:29pm
Course Location
Anthro/Art Practice Bldg 155
Course Units
4
Course number
210B
Course description

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

Instructor(s)
Nikita Zhivotovskiy, Drew Thanh Nguyen
Status Limit Enrolled Waitlist
O 45 36 0

2024 Spring STAT 215B 001 LEC 001 - Statistical Models: Theory and Application

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

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

Instructor(s)
Jon Mcauliffe
Status Limit Enrolled Waitlist
C 20 20 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25939 LAB 215 Fr 9:00am - 10:59am Evans 332 4 20/20/0

2024 Spring STAT 222 001 SEM 001 - Masters of Statistics Capstone Project

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

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

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

2024 Spring STAT 230A 001 LEC 001 - Linear Models

Course Times
MoWe 5:00pm - 6:29pm
Course Location
Wurster 102
Course Units
4
Course number
230A
Course description

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

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

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

Course Times
TuTh 11:00am - 12:29pm
Course Location
Social Sciences Building 20
Course Units
4
Course number
254
Course description

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

Instructor(s)
Song Mei
Status Limit Enrolled Waitlist
O 18 15 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26443 LAB 254 Mo 12:00pm - 1:59pm Evans 334 4 9/8/0
26444 LAB 254 Mo 3:00pm - 4:59pm Evans 334 4 9/7/0

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

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

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

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

2024 Spring STAT 265 001 LEC 001 - Forecasting

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

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

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

2024 Spring STAT 272 001 SES 001 - Statistical Consulting

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

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

Instructor(s)
James Bentley Brown
Status Limit Enrolled Waitlist
O 12 2 0

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

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

Special topics, by means of lectures and informational conferences.

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

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

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

Special topics, by means of lectures and informational conferences.

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

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

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

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

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

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

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

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

Instructor(s)
Swupnil K Sahai, Muhammad R Khan
Status Limit Enrolled Waitlist
C 0 0 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24699 LAB 8 4 0/0/0

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

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

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

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

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

Course Times
MoTuTh 9:00am - 9:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 96 103 0

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

Course Times
MoTuTh 11:00am - 11:59am
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
C 96 104 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
26795 LAB 20 TuTh 12:00pm - 12:59pm Moffitt Library 145 4 96/104/0

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

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

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

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

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

Course Times
MoTuTh 1:00pm - 1:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

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

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

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

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

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

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

Course Times
MoTuTh 3:00pm - 3:59pm
Course Location
Moffitt Library 145
Course Units
4
Course number
20
Course description

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

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

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

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

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

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

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

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

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 90 84 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24260 LAB 33 We 9:00am - 9:59am Evans 334 1 22/22/0
24261 LAB 33 We 10:00am - 10:59am Evans 334 1 22/19/0
24262 LAB 33 We 2:00pm - 2:59pm Evans 340 1 23/21/0
24263 LAB 33 We 3:00pm - 3:59pm Evans 340 1 23/22/0

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

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

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
O 90 88 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
24265 LAB 33 Mo 9:00am - 9:59am Evans 334 1 21/20/0
24536 LAB 33 Mo 10:00am - 10:59am Evans 334 1 22/20/0
25529 LAB 33 Mo 12:00pm - 12:59pm Evans 340 1 22/22/0
25530 LAB 33 Mo 1:00pm - 1:59pm Evans 340 1 25/26/0

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

Course Times
TuTh 3:30pm - 4:59pm
Course Location
Li Ka Shing 245
Course Units
4
Course number
C102
Course description

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

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

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

Course Times
MoWeFr 2:00pm - 2:59pm
Course Location
Evans 60
Course Units
4
Course number
C131A
Course description

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

Instructor(s)
Jeremy Sanchez
Status Limit Enrolled Waitlist
C 80 80 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
25175 LAB 131 TuTh 10:00am - 10:59am Evans 340 4 40/40/0

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

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

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

Instructor(s)
Gaston Sanchez Trujillo
Status Limit Enrolled Waitlist
C 180 189 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23000 LAB 133 Th 9:00am - 10:59am Evans 342 3 30/30/0
23001 LAB 133 Th 11:00am - 12:59pm Evans 342 3 30/32/0
23002 LAB 133 Th 11:00am - 12:59pm Evans 340 3 30/32/0
23003 LAB 133 Th 1:00pm - 2:59pm Evans 340 3 30/33/0
25265 LAB 133 Th 1:00pm - 2:59pm Evans 342 3 30/30/0
25266 LAB 133 Th 3:00pm - 4:59pm Evans 342 3 30/32/0

2023 Fall STAT 135 001 LEC 001 - Concepts of Statistics

Course Times
MoWeFr 11:00am - 11:59am
Course Location
Evans 10
Course Units
4
Course number
135
Course description

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

Instructor(s)
Adam R Lucas
Status Limit Enrolled Waitlist
O 127 126 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
23010 LAB 135 Fr 12:00pm - 1:59pm Hearst Mining 310 4 35/32/0
23011 LAB 135 Fr 1:00pm - 2:59pm Evans 9 4 0/0/0
23483 LAB 135 Fr 1:00pm - 2:59pm Dwinelle 223 4 35/26/0
23484 LAB 135 Fr 3:00pm - 4:59pm Hearst Mining 310 4 35/33/0

2023 Fall STAT 150 001 LEC 001 - Stochastic Processes

Course Times
MoWeFr 10:00am - 10:59am
Course Location
Stanley 106
Course Units
3
Course number
150
Course description

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

Instructor(s)
Benson C Au, Adam Quinn Jaffe
Status Limit Enrolled Waitlist
O 96 83 0

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

Course Times
TuTh 2:00pm - 3:29pm
Course Location
Stanley 106
Course Units
4
Course number
151A
Course description

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

Instructor(s)
Shobhana Murali Stoyanov
Status Limit Enrolled Waitlist
O 70 50 0
Class # Section Date And Times Location Units LIM/ENR/WAIT
22941 LAB 151 Fr 9:00am - 10:59am Evans 330 4 35/26/0

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

Course Times
MoWeFr 1:00pm - 1:59pm
Course Location
Social Sciences Building 20
Course Units
4
Course number
153
Course description

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

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

2023 Fall STAT 156 001 LEC 001 - Causal Inference

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

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

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

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

Course Times
TuTh 12:30pm - 1:59pm
Course Location
Evans 332
Course Units
3
Course number
157
Course description

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

Instructor(s)
Shirshendu Ganguly
Status Limit Enrolled Waitlist
O 35 34 0

2023 Fall STAT 158 001 LEC 001 - Experimental Design

Course Times
TuTh 11:00am - 12:29pm
Course Location
Birge 50
Course Units
4
Course number
158
Course description

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

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