Skip to content Skip to navigation

Current Courses

Title Instructor(s) Quarter Day, Time, Location
Mathematics of Sports (MCS 100)
STATS 50 (section 1)

The use of mathematics, statistics, and probability in the analysis of sports performance, sports records, and strategy. Topics include mathematical analysis of the...

Powers, S., Chin, A. 2015-2016 Spring
Monday Wednesday Friday
2:30pm - 3:20pm
Sequoia Hall 200
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 7)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

Janson, L. 2015-2016 Spring
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 7)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

Janson, L. 2015-2016 Spring
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

2015-2016 Summer
Monday Wednesday Friday
1:30pm - 2:50pm
Hewlett Teaching Center 200
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
STATS 60 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

2015-2016 Summer
Monday Wednesday Friday
1:30pm - 2:50pm
Hewlett Teaching Center 200
Mathematics in the Real World (MATH 16)
STATS 90 (section 1)

Introduction to non-calculus applications of mathematical ideas and principles in real-world problems. Topics include probability and counting, basic statistical concepts...

Poulson, J. 2015-2016 Spring
Monday Wednesday Friday
9:30am - 10:20am
380-380X
Statistical Methods in Engineering and the Physical Sciences
STATS 110 (section 1)

Introduction to statistics for engineers and physical scientists. Topics: descriptive statistics, probability, interval estimation, tests of hypotheses, nonparametric...

Wang, J., Zheng, C. 2015-2016 Summer
Monday Tuesday Wednesday Thursday Friday
10:30am - 11:20am
Gates B3
Statistical Methods in Engineering and the Physical Sciences
STATS 110 (section 1)

Introduction to statistics for engineers and physical scientists. Topics: descriptive statistics, probability, interval estimation, tests of hypotheses, nonparametric...

Wang, J., Zheng, C. 2015-2016 Summer
Monday Tuesday Wednesday Thursday Friday
10:30am - 11:20am
Gates B3
Theory of Probability
STATS 116 (section 1)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Wang, R. 2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
10:30am - 11:20am
300-300
Theory of Probability
STATS 116 (section 1)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Wang, R. 2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
10:30am - 11:20am
300-300
Theory of Probability
STATS 116 (section 2)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Le, Y. 2015-2016 Spring
Monday
9:30am - 10:20am
100-101K
Theory of Probability
STATS 116 (section 2)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Le, Y. 2015-2016 Spring
Monday
9:30am - 10:20am
100-101K
Theory of Probability
STATS 116 (section 5)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Gorham, J. 2015-2016 Spring
Friday
12:30pm - 1:20pm
420-050
Theory of Probability
STATS 116 (section 5)

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and...

Gorham, J. 2015-2016 Spring
Friday
12:30pm - 1:20pm
420-050
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60)
STATS 160 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

Taylor, J., Xia, L., DiCiccio, C., Miao, J., Orenstein, P., YAN, J. 2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60)
STATS 160 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

Taylor, J., Xia, L., DiCiccio, C., Miao, J., Orenstein, P., YAN, J. 2015-2016 Spring
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60)
STATS 160 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

DiCiccio, C. 2015-2016 Summer
Monday Wednesday Friday
1:30pm - 2:50pm
Hewlett Teaching Center 200
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60)
STATS 160 (section 1)

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of...

DiCiccio, C. 2015-2016 Summer
Monday Wednesday Friday
1:30pm - 2:50pm
Hewlett Teaching Center 200
Probability: Ten Great Ideas About Chance (PHIL 166, PHIL 266, STATS 267)
STATS 167 (section 1)

Foundational approaches to thinking about chance in matters such as gambling, the law, and everyday affairs. Topics include: chance and decisions; the mathematics of...

Diaconis, P., Skyrms, B., Sepehri, A. 2015-2016 Spring
Thursday
4:30pm - 7:20pm
Sequoia Hall 200
Introduction to R (CME 195)
STATS 195 (section 1)

This short course runs for the first four weeks of the quarter and is offered in fall and spring. It is recommended for students who want to use R in statistics, science...

Michael, H. 2015-2016 Spring
Tuesday Thursday
10:30am - 11:50am
Gates B12
Multilevel Modeling Using R (EDUC 401D)
STATS 196A (section 1)

Multilevel data analysis examples using R. Topics include: two-level nested data, growth curve modeling, generalized linear models for counts and categorical data,...

Rogosa, D. 2015-2016 Spring
Wednesday
3:30pm - 5:20pm
Sequoia Hall 200
Design and Analysis of Experiments
STATS 201 (section 1)

Theory and applications. Factors that affect response. Optimum levels of parameters. How to balance theory and practical design techniques. Prerequisites: basic statistics...

Ledolter, J. 2015-2016 Summer
Monday Tuesday Wednesday
9:30am - 11:20am
Lathrop 299
Design and Analysis of Experiments
STATS 201 (section 1)

Theory and applications. Factors that affect response. Optimum levels of parameters. How to balance theory and practical design techniques. Prerequisites: basic statistics...

Ledolter, J. 2015-2016 Summer
Monday Tuesday Wednesday
9:30am - 11:20am
Lathrop 299
Data Mining and Analysis
STATS 202 (section 1)

Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining....

Patel, R. 2015-2016 Summer
Monday Wednesday
4:30pm - 5:50pm
NVIDIA Auditorium
Data Mining and Analysis
STATS 202 (section 1)

Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining....

Patel, R. 2015-2016 Summer
Monday Wednesday
4:30pm - 5:50pm
NVIDIA Auditorium
Sampling
STATS 204 (section 1)

How best to take data and where to sample it. Examples include surveys and sampling from data warehouses. Emphasis is on methods for finite populations. Topics: simple...

Owen, A., Choi, Y. 2015-2016 Spring
Monday Wednesday
1:30pm - 2:50pm
Herrin T185
Introduction to Nonparametric Statistics
STATS 205 (section 1)

Nonparametric analogs of the one- and two-sample t-tests and analysis of variance; the sign test, median test, Wilcoxon's tests, and the Kruskal-Wallis and Friedman tests...

Seiler, C., Bi, N., Guan, L. 2015-2016 Spring
Monday Wednesday Friday
1:30pm - 2:20pm
200-203
Introduction to Time Series Analysis
STATS 207 (section 1)

Time series models used in economics and engineering. Trend fitting, autoregressive and moving average models and spectral analysis, Kalman filtering, and state-space...

Velu, R. 2015-2016 Summer
Tuesday Thursday
9:00am - 10:20am
Hewlett Teaching Center Rm 101
Introduction to Time Series Analysis
STATS 207 (section 1)

Time series models used in economics and engineering. Trend fitting, autoregressive and moving average models and spectral analysis, Kalman filtering, and state-space...

Velu, R. 2015-2016 Summer
Tuesday Thursday
9:00am - 10:20am
Hewlett Teaching Center Rm 101
Introduction to Statistical Learning
STATS 216V (section 1)

Overview of supervised learning, with a focus on regression and classification methods. Syllabus includes: linear and polynomial regression, logistic regression and linear...

Hastie, T. 2015-2016 Summer
Introduction to Statistical Learning
STATS 216V (section 1)

Overview of supervised learning, with a focus on regression and classification methods. Syllabus includes: linear and polynomial regression, logistic regression and linear...

Hastie, T. 2015-2016 Summer
Introduction to Stochastic Processes I
STATS 217 (section 1)

Discrete and continuous time Markov chains, poisson processes, random walks, branching processes, first passage times, recurrence and transience, stationary distributions...

D'Aristotile, A. 2015-2016 Summer
Tuesday Thursday
1:30pm - 2:50pm
Hewlett Teaching Center Rm 101
Introduction to Stochastic Processes I
STATS 217 (section 1)

Discrete and continuous time Markov chains, poisson processes, random walks, branching processes, first passage times, recurrence and transience, stationary distributions...

D'Aristotile, A. 2015-2016 Summer
Tuesday Thursday
1:30pm - 2:50pm
Hewlett Teaching Center Rm 101
Introduction to Stochastic Processes II
STATS 218 (section 1)

Renewal theory, Brownian motion, Gaussian processes, second order processes, martingales.

Chatterjee, S., Du, W., azadkia, m. 2015-2016 Spring
Tuesday Thursday
9:00am - 10:20am
Hewlett Teaching Center Rm 101
Machine Learning (CS 229)
STATS 229 (section 1)

Topics: statistical pattern recognition, linear and non-linear regression, non-parametric methods, exponential family, GLMs, support vector machines, kernel methods, model...

Duchi, J., Alban-Hidalgo, M., Bahtchevanov, I., Donnat, C., Friedberg, R., Guu, K., Haque, A., McCann, B., Rosenman, E., Samar, A., Sesia, M., Tsai, S., Turan, D., Wang, H., Zhu, M. 2015-2016 Spring
Monday Wednesday Friday
1:30pm - 2:50pm
420-040
Theory of Investment Portfolios and Derivative Securities
STATS 237 (section 1)

Asset returns and their volatilities. Markowitz¿s portfolio theory, capital asset pricing model, multifactor pricing models. Measures of market risk. Financial derivatives...

Yuan, H. 2015-2016 Summer
Tuesday Thursday
9:00am - 10:20am
Skillaud
Theory of Investment Portfolios and Derivative Securities
STATS 237 (section 1)

Asset returns and their volatilities. Markowitz¿s portfolio theory, capital asset pricing model, multifactor pricing models. Measures of market risk. Financial derivatives...

Yuan, H. 2015-2016 Summer
Tuesday Thursday
9:00am - 10:20am
Skillaud
Mathematical and Computational Finance Seminar (CME 242)
STATS 239 (section 1)
Jain, K. 2015-2016 Spring
Thursday
4:30pm - 5:50pm
200-203
Financial Models and Statistical Methods in Active Risk Management (CME 243)
STATS 243 (section 1)

Market risk and credit risk, credit markets. Back testing, stress testing and Monte Carlo methods. Logistic regression, generalized linear models and generalized mixed...

Tsang, K. 2015-2016 Summer
Monday Wednesday
1:30pm - 2:50pm
Skillaud
Financial Models and Statistical Methods in Active Risk Management (CME 243)
STATS 243 (section 1)

Market risk and credit risk, credit markets. Back testing, stress testing and Monte Carlo methods. Logistic regression, generalized linear models and generalized mixed...

Tsang, K. 2015-2016 Summer
Monday Wednesday
1:30pm - 2:50pm
Skillaud
Data, Models, and Decision Analytics
STATS 245 (section 1)

Statistical models and decision theory. Online A/B testing, comparative effective studies of medical treatments. Introduction to recommender systems in online services,...

Tsang, K. 2015-2016 Summer
Tuesday Thursday
1:30pm - 2:50pm
NVIDIA Auditorium
Data, Models, and Decision Analytics
STATS 245 (section 1)

Statistical models and decision theory. Online A/B testing, comparative effective studies of medical treatments. Introduction to recommender systems in online services,...

Tsang, K. 2015-2016 Summer
Tuesday Thursday
1:30pm - 2:50pm
NVIDIA Auditorium
Workshop in Biostatistics (HRP 260C)
STATS 260C (section 1)

Applications of statistical techniques to current problems in medical science. To receive credit for one or two units, a student must attend every workshop. To receive two...

Olshen, R., Sabatti, C. 2015-2016 Spring
Thursday
1:30pm - 2:50pm
MSOBX303
Intermediate Biostatistics: Regression, Prediction, Survival Analysis (HRP 262)
STATS 262 (section 1)

Methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, time-dependent variables, longitudinal data structures,...

Sainani, K. 2015-2016 Spring
Monday Wednesday
3:00pm - 4:20pm
Li Ka Shing Center, room 120
Advanced Statistical Methods for Observational Studies (CHPR 290, EDUC 260B)
STATS 266 (section 1)

Design principles and statistical methods for observational studies. Topics include: matching methods, sensitivity analysis, instrumental variables, graphical models,...

Baiocchi, M., Rogosa, D. 2015-2016 Spring
Monday
2:30pm - 4:20pm
McCullough 122
Probability: Ten Great Ideas About Chance (PHIL 166, PHIL 266, STATS 167)
STATS 267 (section 1)

Foundational approaches to thinking about chance in matters such as gambling, the law, and everyday affairs. Topics include: chance and decisions; the mathematics of...

Diaconis, P., Skyrms, B., Sepehri, A. 2015-2016 Spring
Thursday
4:30pm - 7:20pm
Sequoia Hall 200
Bayesian Statistics II (STATS 371)
STATS 271 (section 1)

This is the second of a two course sequence on modern Bayesian statistics. Topics covered include: Asymptotic properties of Bayesian procedures and consistency (Doobs...

Diaconis, P., Sabatti, C., Wong, W., Zhao, Q. 2015-2016 Spring
Monday Wednesday
3:00pm - 4:20pm
Mitchb67
Theory of Statistics
STATS 300C (section 1)

Decision theory formulation of statistical problems. Minimax, admissible procedures. Complete class theorems ("all" minimax or admissible procedures are "Bayes"), Bayes...

Candes, E., Bhattacharya, B., YANG, J. 2015-2016 Spring
Monday Wednesday Friday
10:30am - 11:20am
Ceras 300

Pages