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Current Courses

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...

2015-2016 Winter
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 Winter
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
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...

2015-2016 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...

2015-2016 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...

2015-2016 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...

2015-2016 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. 2015-2016 Winter
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...

Thomas, E. 2015-2016 Winter
Monday Tuesday Wednesday Thursday Friday
9:30am - 10:20am
420-040
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 cross-validation. Emphasis is on...

Walther, G., Donnat, C., Katsevich, G., Miao, J. 2015-2016 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. 2015-2016 Winter
Monday Wednesday Friday
10:30am - 11:20am
200-002
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. 2015-2016 Winter
Monday Wednesday Friday
10:30am - 11:20am
200-002
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. 2015-2016 Winter
Tuesday Thursday
10:30am - 11:50am
380-380D
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. 2015-2016 Winter
Tuesday Thursday
10:30am - 11:50am
380-380D
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. 2015-2016 Winter
Wednesday Friday
1:30pm - 3:20pm
Sequoia Hall 200
Meta-research: Appraising Research Findings, Bias, and Meta-analysis (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. Meta-analysis as a...

Ioannidis, J., Olkin, I., Michael, H. 2015-2016 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. 2015-2016 Winter
Tuesday Thursday
1:30pm - 2:50pm
380-380F
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. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 Winter
Tuesday Thursday
1:30pm - 2:50pm
380-380Y
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. 2015-2016 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 case-control and cross-sectional studies: the 2x2 table, chi-square test, Fisher's exact test, odds ratios, Mantel-Haenzel methods,...

Sainani, K. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 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. 2015-2016 Winter
Tuesday Thursday
10:30am - 11:50am
380-380F
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. 2015-2016 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. 2015-2016 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. 2015-2016 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 0-1 laws, Radon-Nikodym Theorem, ruin problems, etc. Other...

Chatterjee, S., Bai, Y., Huang, R. 2015-2016 Winter
Tuesday Thursday
9:00am - 10:20am
380-380F
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. 2015-2016 Winter
Tuesday Thursday
1:30pm - 2:50pm
200-205
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. 2015-2016 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. 2015-2016 Winter
Tuesday
10:30am - 11:50am
200-217
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. 2015-2016 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. 2015-2016 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. 2015-2016 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., Ochoa-Alvarez, I., Tatwawadi, K. 2015-2016 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 drop-in...

Rajaratnam, B. 2015-2016 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 drop-in...

Rajaratnam, B. 2015-2016 Winter
Friday
12:30pm - 1:20pm
Y2E2 335