Title  Instructor(s)  Quarter  Day, Time, Location 

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 Winter 
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 Winter 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 

Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 4) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Winter  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 5) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Winter  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 5) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Winter  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 6) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Winter  
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... 
Thomas, E.  20152016 Winter 
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... 
Thomas, E.  20152016 Winter 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 
Introduction to Applied Statistics STATS 191 (section 1) Statistical tools for modern data analysis. Topics include regression and prediction, elements of the analysis of variance, bootstrap, and crossvalidation. Emphasis is on... 
Walther, G., Donnat, C., Katsevich, G., Miao, J.  20152016 Winter 
Monday Wednesday Friday 10:30am  11:20am Herrin T175 
Introduction to Statistical Inference STATS 200 (section 1) Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of... 
Reid, S.  20152016 Winter 
Monday Wednesday Friday 10:30am  11:20am 200002 
Introduction to Statistical Inference STATS 200 (section 1) Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of... 
Reid, S., DiCiccio, C., Friedberg, R., Orenstein, P., Rosenman, E.  20152016 Winter 
Monday Wednesday Friday 10:30am  11:20am 200002 
Introduction to Regression Models and Analysis of Variance STATS 203 (section 1) Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable... 
Taylor, J.  20152016 Winter 
Tuesday Thursday 10:30am  11:50am 380380D 
Introduction to Regression Models and Analysis of Variance STATS 203 (section 1) Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable... 
Taylor, J., Erdogdu, M., He, H.  20152016 Winter 
Tuesday Thursday 10:30am  11:50am 380380D 
Statistical Methods for Group Comparisons and Causal Inference (EDUC 260A, HRP 239) STATS 209 (section 1) Critical examination of statistical methods in social science and life sciences applications, especially for cause and effect determinations. Topics: mediating and... 
Rogosa, D., Janson, L.  20152016 Winter 
Wednesday Friday 1:30pm  3:20pm Sequoia Hall 200 
Metaresearch: Appraising Research Findings, Bias, and Metaanalysis (CHPR 206, HRP 206, MED 206) STATS 211 (section 1) Open to graduate, medical, and undergraduate students. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Metaanalysis as a... 
Ioannidis, J., Olkin, I., Michael, H.  20152016 Winter 
Friday 9:30am  12:20pm Littlefield 107 
Statistical Models in Biology STATS 215 (section 1) Poisson and renewal processes, Markov chains in discrete and continuous time, branching processes, diffusion. Applications to models of nucleotide evolution, recombination... 
Siegmund, D., Hamidi, N.  20152016 Winter 
Tuesday Thursday 1:30pm  2:50pm 380380F 
Introduction to Statistical Learning STATS 216 (section 1) Overview of supervised learning, with a focus on regression and classification methods. Syllabus includes: linear and polynomial regression, logistic regression and linear... 
Mackey, L.  20152016 Winter 
Monday Wednesday 1:30pm  2:50pm 
Introduction to Statistical Learning STATS 216 (section 1) Overview of supervised learning, with a focus on regression and classification methods. Syllabus includes: linear and polynomial regression, logistic regression and linear... 
Mackey, L., Ai, X., Bates, S., Chin, A., Gorham, J., Sesia, M., Tsao, A.  20152016 Winter 
Monday Wednesday 1:30pm  2:50pm 
Introduction to Stochastic Processes STATS 217 (section 1) Discrete and continuous time Markov chains, poisson processes, random walks, branching processes, first passage times, recurrence and transience, stationary distributions... 
Feldheim, O., Bi, N., Du, W.  20152016 Winter 
Monday Wednesday Friday 9:30am  10:20am Mitchb67 
Introduction to Stochastic Processes STATS 217 (section 1) Discrete and continuous time Markov chains, poisson processes, random walks, branching processes, first passage times, recurrence and transience, stationary distributions... 
Feldheim, O., Bi, N., Du, W.  20152016 Winter 
Monday Wednesday Friday 9:30am  10:20am Mitchb67 
Statistical Learning Theory (CS 229T) STATS 231 (section 1) (Same as STATS 231) How do we formalize what it means for an algorithm to learn from data? This course focuses on developing mathematical tools for answering this... 
Liang, P., Bastani, O.  20152016 Winter 
Monday Wednesday 3:00pm  4:20pm Thornt110 
The Future of Finance (ECON 152, ECON 252, PUBLPOL 364) STATS 238 (section 1) If you are interested in a career in finance or that touches finance (computational science, economics, public policy, legal, regulatory, corporate, other), this course... 
Beder, T.  20152016 Winter 
Monday 11:30am  1:20pm School of Education 206 
Mathematical Finance (MATH 238) STATS 250 (section 1) Stochastic models of financial markets. Forward and futures contracts. European options and equivalent martingale measures. Hedging strategies and management of risk. Term... 
Papanicolaou, G.  20152016 Winter 
Tuesday Thursday 1:30pm  2:50pm 380380Y 
Workshop in Biostatistics (HRP 260B) STATS 260B (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 Winter 
Thursday 1:30pm  2:50pm MSOBX303 
Intermediate Biostatistics: Analysis of Discrete Data (BIOMEDIN 233, HRP 261) STATS 261 (section 1) Methods for analyzing data from casecontrol and crosssectional studies: the 2x2 table, chisquare test, Fisher's exact test, odds ratios, MantelHaenzel methods,... 
Sainani, K.  20152016 Winter 
Monday Wednesday 11:30am  1:20pm Li Ka Shing Center, room 101 
Design of Experiments (STATS 363) STATS 263 (section 1) Experiments vs observation. Confounding. Randomization. ANOVA.Blocking. Latin squares. Factorials and fractional factorials. Split plot. Response surfaces. Mixture designs... 
Owen, A., Lee, M., Loftus, J.  20152016 Winter 
Monday Wednesday 3:00pm  4:20pm Gates B12 
Bayesian Statistics I (STATS 370) STATS 270 (section 1) This is the first of a two course sequence on modern Bayesian statistics. Topics covered include: real world examples of large scale Bayesian analysis; basic tools (models... 
Diaconis, P., Sabatti, C., Wong, W., Arthur, J., Su, W.  20152016 Winter 
Monday Wednesday Friday 11:30am  12:20pm Sequoia Hall 200 
Paradigms for Computing with Data STATS 290 (section 1) Advanced programming and computing techniques to support projects in data analysis and related research. For Statistics graduate students and others whose research... 
Chambers, J., Narasimhan, B., Choi, Y., Guan, L., Patterson, E.  20152016 Winter 
Monday Wednesday Friday 10:30am  11:20am Huang Engineerig Center 18 
Theory of Statistics STATS 300B (section 1) Elementary decision theory; loss and risk functions, Bayes estimation; UMVU estimator, minimax estimators, shrinkage estimators. Hypothesis testing and confidence... 
Siegmund, D., SUR, P., Zhao, Q.  20152016 Winter 
Tuesday Thursday 10:30am  11:50am 380380F 
PhD First Year Student Workshop STATS 303 (section 1) For Statistics First Year PhD students only. Discussion of relevant topics in first year student courses, consultation with PhD advisor. 
Holmes, S.  20152016 Winter 
Monday Wednesday 12:30pm  1:20pm Sequoia Hall 200 
PhD First Year Student Workshop STATS 303 (section 1) For Statistics First Year PhD students only. Discussion of relevant topics in first year student courses, consultation with PhD advisor. 
Holmes, S.  20152016 Winter 
Monday Wednesday 12:30pm  1:20pm Sequoia Hall 200 
Methods for Applied Statistics STATS 306A (section 1) Regression modeling extended to categorical data. Logistic regression. Loglinear models. Generalized linear models. Discriminant analysis. Categorical data models from... 
Owen, A., Qian, J., YANG, J.  20152016 Winter 
Monday Wednesday Friday 1:30pm  2:20pm School of Education 128 
Theory of Probability (MATH 230B) STATS 310B (section 1) Conditional expectations, discrete time martingales, stopping times, uniform integrability, applications to 01 laws, RadonNikodym Theorem, ruin problems, etc. Other... 
Chatterjee, S., Bai, Y., Huang, R.  20152016 Winter 
Tuesday Thursday 9:00am  10:20am 380380F 
Information Theory and Statistics (EE 377) STATS 311 (section 1) Information theoretic techniques in probability and statistics. Fano, Assouad,nand Le Cam methods for optimality guarantees in estimation. Large deviationsnand... 
Duchi, J., Namkoong, H.  20152016 Winter 
Tuesday Thursday 1:30pm  2:50pm 200205 
Modern Applied Statistics: Learning STATS 315A (section 1) Overview of supervised learning. Linear regression and related methods. Model selection, least angle regression and the lasso, stepwise methods. Classification. Linear... 
Hastie, T., Achanta, R., Kuang, Y., Le, Y., Panigrahi, S., Wang, J.  20152016 Winter 
Tuesday Thursday 10:30am  11:50am Hewlett Teaching Center 200 
Literature of Statistics STATS 319 (section 1) Literature study of topics in statistics and probability culminating in oral and written reports. May be repeated for credit. 
Romano, J.  20152016 Winter 
Tuesday 10:30am  11:50am 200217 
Advanced Statistical Methods for Earth System Analysis (ESS 260) STATS 360 (section 1) Introduction for graduate students to important issues in data analysis relevant to earth system studies. Emphasis on methodology, concepts and implementation (in R),... 
Rajaratnam, B.  20152016 Winter 
Tuesday Thursday 10:30am  11:50am Shriram Ctr BioChemE 108 
Design of Experiments (STATS 263) STATS 363 (section 1) Experiments vs observation. Confounding. Randomization. ANOVA.Blocking. Latin squares. Factorials and fractional factorials. Split plot. Response surfaces. Mixture designs... 
Owen, A., Lee, M., Loftus, J.  20152016 Winter 
Monday Wednesday 3:00pm  4:20pm Gates B12 
Bayesian Statistics I (STATS 270) STATS 370 (section 1) This is the first of a two course sequence on modern Bayesian statistics. Topics covered include: real world examples of large scale Bayesian analysis; basic tools (models... 
Diaconis, P., Sabatti, C., Wong, W., Arthur, J., Su, W.  20152016 Winter 
Monday Wednesday Friday 11:30am  12:20pm Sequoia Hall 200 
Information Theory (EE 376A) STATS 376A (section 1) The fundamental ideas of information theory. Entropy and intrinsic randomness. Data compression to the entropy limit. Huffman coding. Arithmetic coding. Channel capacity,... 
Weissman, T., OchoaAlvarez, I., Tatwawadi, K.  20152016 Winter 
Tuesday Thursday 1:30pm  2:50pm School of Education 128 
Consulting Workshop STATS 390 (section 1) Skills required of practicing statistical consultants, including exposure to statistical applications. Students participate as consultants in the department's dropin... 
Rajaratnam, B.  20152016 Winter 
Friday 12:30pm  1:20pm Y2E2 335 
Consulting Workshop STATS 390 (section 1) Skills required of practicing statistical consultants, including exposure to statistical applications. Students participate as consultants in the department's dropin... 
Rajaratnam, B.  20152016 Winter 
Friday 12:30pm  1:20pm Y2E2 335 