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.  20152016 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... 
20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 

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... 
20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 

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.  20152016 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.  20152016 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... 
20152016 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... 
20152016 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 noncalculus applications of mathematical ideas and principles in realworld problems. Topics include probability and counting, basic statistical concepts... 
Poulson, J.  20152016 Spring 
Monday Wednesday Friday 9:30am  10:20am 380380X 
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.  20152016 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.  20152016 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.  20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 10:30am  11:20am 300300 
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.  20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 10:30am  11:20am 300300 
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.  20152016 Spring 
Monday 9:30am  10:20am 100101K 
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.  20152016 Spring 
Monday 9:30am  10:20am 100101K 
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.  20152016 Spring 
Friday 12:30pm  1:20pm 420050 
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.  20152016 Spring 
Friday 12:30pm  1:20pm 420050 
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.  20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 
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.  20152016 Spring 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 
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.  20152016 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.  20152016 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.  20152016 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.  20152016 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: twolevel nested data, growth curve modeling, generalized linear models for counts and categorical data,... 
Rogosa, D.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 Spring 
Monday Wednesday 1:30pm  2:50pm Herrin T185 
Introduction to Nonparametric Statistics STATS 205 (section 1) Nonparametric analogs of the one and twosample ttests and analysis of variance; the sign test, median test, Wilcoxon's tests, and the KruskalWallis and Friedman tests... 
Seiler, C., Bi, N., Guan, L.  20152016 Spring 
Monday Wednesday Friday 1:30pm  2:20pm 200203 
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 statespace... 
Velu, R.  20152016 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 statespace... 
Velu, R.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 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 nonlinear regression, nonparametric methods, exponential family, GLMs, support vector machines, kernel methods, model... 
Duchi, J., AlbanHidalgo, 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.  20152016 Spring 
Monday Wednesday Friday 1:30pm  2:50pm 420040 
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.  20152016 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.  20152016 Summer 
Tuesday Thursday 9:00am  10:20am Skillaud 
Mathematical and Computational Finance Seminar (CME 242) STATS 239 (section 1) 
Jain, K.  20152016 Spring 
Thursday 4:30pm  5:50pm 200203 
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.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 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 KaplanMeier methods, Cox regression, hazard ratios, timedependent variables, longitudinal data structures,... 
Sainani, K.  20152016 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.  20152016 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.  20152016 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.  20152016 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.  20152016 Spring 
Monday Wednesday Friday 10:30am  11:20am Ceras 300 