08S STATS 0019 19 001 1 SEM F 1 1 PN "Seminar, one hour. Discussion of and critical thinking about topics of current intellectual importance, taught by faculty members in their areas of expertise and illuminating many paths of discovery at UCLA. P/NP grading." Fiat Lux Freshman Seminars 263057200 "Statistics 19, seminar 1: Hold 'em or Fold 'em: Poker and Probability" 08S STATS 0035A 35A 001 1 LEC F 4 4 "(Formerly numbered 35.) Lecture, three hours; discussion, one hour. Not open for credit to students with credit for course 35B. Basic introductory probability topics in interactive problem-driven manner. Various applets, interfaces, and demonstrations used to illustrate fundamental properties of distributions, random number generation, combinatorics, expectation, variability, and sampling. Assignment of projects that require light computer programming. Emphasis on practical description, utilization, and graphical presentation of various probabilistic modeling techniques. P/NP or letter grading." Interactive and Computational Probability 263106200 08S STATS 0100C 100C 001 1 LEC F 4 4 course 100B "Lecture, three hours; discussion, one hour. Requisite: course 100B. Theory of linear models, with emphasis on matrix approach to linear regression. Topics include model fitting, extra sums of squares principle, testing general linear hypothesis in regression, inference procedures, Gauss/Markov theorem, examination of residuals, principle component regression, stepwise procedures. P/NP or letter grading." Linear Model with Experimental Design 263307200 08S STATS 0100C 100C 002 2 LEC F 4 4 course 100B "Lecture, three hours; discussion, one hour. Requisite: course 100B. Theory of linear models, with emphasis on matrix approach to linear regression. Topics include model fitting, extra sums of squares principle, testing general linear hypothesis in regression, inference procedures, Gauss/Markov theorem, examination of residuals, principle component regression, stepwise procedures. P/NP or letter grading." Linear Model with Experimental Design 263307210 08S STATS 0110B 110B 001 1 LEC F 4 4 course 110A "Lecture, three hours; discussion, one hour. Requisite: course 110A. One- and two-sample problems, goodness of fit and contingency tables, correlation and regression, analysis of variance, nonparametrics. P/NP or letter grading." Applied Statistics 263363200 08S STATS 0261 C C261 001 1 LEC F 4 4 "Lecture, three hours. Requisites: course 100B, Mathematics 33A. Introduction to pattern analysis and machine intelligence designed for advanced undergraduate and graduate students. Concurrently scheduled with course C161. S/U or letter grading." Introduction to Pattern Recognition and Machine Learning 663366200 08S STATS 0599 599 001 1 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995201 08S STATS 0599 599 002 2 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995202 08S STATS 0599 599 003 3 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995203 08S STATS 0599 599 004 4 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995204 08S STATS 0599 599 005 5 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995205 08S STATS 0599 599 006 6 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995206 08S STATS 0599 599 007 7 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995207 08S STATS 0599 599 008 8 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995208 08S STATS 0599 599 009 9 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995209 08S STATS 0599 599 010 10 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995210 08S STATS 0599 599 011 11 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995211 08S STATS 0599 599 012 12 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995212 08S STATS 0599 599 013 13 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995213 08S STATS 0010 10 001 1 LEC F 5 5 "(Formerly numbered 10A.) Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10H, 11, 12, 13, or 14. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading." Introduction to Statistical Reasoning 263030200 08S STATS 0010 10 002 2 LEC F 5 5 "(Formerly numbered 10A.) Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10H, 11, 12, 13, or 14. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading." Introduction to Statistical Reasoning 263030210 08S STATS 0010 10 003 3 LEC F 5 5 "(Formerly numbered 10A.) Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10H, 11, 12, 13, or 14. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading." Introduction to Statistical Reasoning 263030220 08S STATS 0010 10 004 4 LEC F 5 5 "(Formerly numbered 10A.) Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10H, 11, 12, 13, or 14. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading." Introduction to Statistical Reasoning 263030230 08S STATS 0010 10 005 5 LEC F 5 5 "(Formerly numbered 10A.) Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10H, 11, 12, 13, or 14. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading." Introduction to Statistical Reasoning 263030240 08S STATS 0101C 101C 001 1 LEC F 4 4 Course 101B "(Formerly numbered 120B.) Lecture, three hours; discussion, one hour. Enforced requisite: course 101B. Designed for juniors/seniors. Applied regression analysis, with emphasis on general linear model (e.g., multiple regression) and generalized linear model (e.g., logistic regression). Special attention to modern extensions of regression, including regression diagnostics, graphical procedures, and bootstrapping for statistical influence. P/NP or letter grading." Introduction to Regression and Data Mining 263312200 08S STATS 0112 112 001 1 LEC F 5 5 G course 10 "Lecture, three hours; discussion, one hour. Requisite: course 10. Limited to juniors/seniors. Statistical methods in social sciences, including regression, multivariate techniques, logistic regression, and data-handling and analysis. Applications to social sciences, using professional statistical analysis software package for data analysis. Letter grading." Statistical Methods for Social Sciences 263372200 08S STATS 0598 598 001 1 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990201 08S STATS 0598 598 002 2 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990202 08S STATS 0598 598 003 3 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990203 08S STATS 0598 598 004 4 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990204 08S STATS 0598 598 005 5 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990205 08S STATS 0598 598 006 6 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990206 08S STATS 0598 598 007 7 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990207 08S STATS 0598 598 008 8 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990208 08S STATS 0598 598 009 9 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990209 08S STATS 0200C 200C 001 1 LEC F 4 4 "(Formerly numbered 200B.) Lecture, three hours. Enforced requisite: course 200B. Asymptotic properties of tests and estimates, consistency and efficiency, likelihood ratio tests, chi-squared tests. S/U or letter grading." "Large Sample Theory, Including Resampling" 663004200 08S STATS 0232B 232B 001 1 LEC F 4 4 "Lecture, three hours. Preparation: basic statistics, linear algebra (matrix analysis), computer vision. Introduction to broad range of algorithms for statistical inference and learning that could be used in vision, pattern recognition, speech, bioinformatics, data mining. Topics include Markov chain Monte Carlo computing, sequential Monte Carlo methods, belief propagation, partial differential equations. S/U or letter grading." Statistical Computing and Inference in Vision and Image Science 663193200 08S STATS 0199 199 001 1 TUT V 1 4 "Tutorial, one hour. Limited to juniors/seniors. Supervised individual research or investigation under guidance of faculty mentor. Culminating paper or project required. May be repeated for credit. Individual contract required. P/NP or letter grading." Directed Research in Statistics 263895201 08S STATS 0199 199 002 2 TUT V 1 4 "Tutorial, one hour. Limited to juniors/seniors. Supervised individual research or investigation under guidance of faculty mentor. Culminating paper or project required. May be repeated for credit. Individual contract required. P/NP or letter grading." Directed Research in Statistics 263895202 08S STATS 0237 M M237 001 1 STU F 4 4 G "(Same as Design | Media Arts M259.) Studio, six hours. Through expanding reach of telecommunications networks and general advancement of data collection technologies, almost every aspect of our lives can be ""rendered"" in data. Contemplation of use of data in creation of media art and examination of each step in process of data collection, analysis, and representation. Topics include databases and data warehousing, exploratory analysis and visualization, clustering and pattern finding, sampling, and various data mining algorithms. Exploration, through discussions, of fundamental concepts like complexity and randomness. Techniques that organize data, search for patterns, and create meaningful and/or expressive representations. Letter grading." Data and Media Arts 663222200 08S STATS 0110A 110A 001 1 LEC F 4 4 Math 3B and course (35A or 35B or 35C) or Math 31B and course (35A or 35B or 35C) or Math 32B and 33A "Lecture, three hours; discussion, one hour. Requisites: course 35A or 35B or 35C and Mathematics 3B or 31B, or Mathematics 32B and 33A. Not open to students with credit for Electrical Engineering 131A. Students may receive credit for only two of following: courses 100A, 110A, Biostatistics 100A. Probability, distributions, expectation, estimation, central limit theorem, confidence intervals, testing. P/NP or letter grading." Applied Statistics 263362200 08S STATS 0173 C C173 001 1 LEC F 4 4 course 100C (may be concurrent) or 101B or 110B "Lecture, three hours; discussion, one hour. Requisite: course 100C (may be taken concurrently) or 101B or 110B. Geostatistics can be applied to many problems in other disciplines such as hydrology, traffic, air and water pollution, epidemiology, economics, geography, waste management, forestry, oceanography, meteorology, and agriculture and, in general, to every problem where data are observed at geographic locations. Acquisition of knowledge from different areas that can be used to analyze real spatial data problems and to connect geostatistics with geographic information systems (GIS). Concurrently scheduled with course C273. P/NP or letter grading." Applied Geostatistics 263738200 08S STATS 0598 598 010 10 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990210 08S STATS 0598 598 011 11 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990211 08S STATS 0598 598 012 12 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990212 08S STATS 0598 598 013 13 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990213 08S STATS 0598 598 014 14 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990214 08S STATS 0598 598 015 15 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990215 08S STATS 0598 598 016 16 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990216 08S STATS 0598 598 017 17 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990217 08S STATS 0598 598 018 18 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990218 08S STATS 0598 598 019 19 TUT V 2 12 SU "Tutorial, to be arranged. Designed for second-year statistics M.S. students. Study and research for M.S. thesis. May be repeated for credit. S/U grading." M.S. Thesis Research 663990219 08S STATS 0183 C C183 001 1 LEC F 4 4 course 100B or 110B "Lecture, three hours. Requisite: course 100B or 110B. Designed for juniors/seniors and graduate students. Statistical techniques in investment theory using real market data. Portfolio management, risk diversification, efficient frontier, single index model, capital asset pricing model (CAPM), beta of a stock, European and American options (Black/Scholes model, binomial model). Concurrently scheduled with course C283. P/NP or letter grading." Statistical Models in Finance 263698200 08S STATS 0290 290 001 1 SEM F 2 2 SU "Seminar, one hour. Topics in various statistical areas by means of lectures and informal conferences with staff members. S/U grading." Current Literature in Statistics 663540200 08S STATS 0596 596 001 1 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980201 08S STATS 0596 596 002 2 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980202 08S STATS 0596 596 003 3 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980203 08S STATS 0596 596 004 4 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980204 08S STATS 0596 596 005 5 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980205 08S STATS 0596 596 006 6 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980206 08S STATS 0596 596 007 7 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980207 08S STATS 0596 596 008 8 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980208 08S STATS 0596 596 009 9 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980209 08S STATS 0596 596 010 10 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980210 08S STATS 0596 596 011 11 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980211 08S STATS 0596 596 012 12 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980212 08S STATS 0596 596 013 13 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980213 08S STATS 0596 596 014 14 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980214 08S STATS 0596 596 015 15 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980215 08S STATS 0596 596 016 16 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980216 08S STATS 0596 596 017 17 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980217 08S STATS 0596 596 018 18 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980218 08S STATS 0596 596 019 19 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980219 08S STATS 0596 596 020 20 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980220 08S STATS 0596 596 021 21 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980221 08S STATS 0596 596 022 22 TUT V 2 8 G "Tutorial, to be arranged. Supervised individual reading and study on project approved by a faculty member. May be repeated for credit. Letter grading." Directed Individual Study or Research 663980222 08S STATS 0013 13 001 1 LEC F 5 5 "Lecture, three hours; discussion, one hour; laboratory, one hour. Not open for credit to students with credit for course 10, 10H, 11, 12, or 14. Presentation and interpretation of data, descriptive statistics, introduction to correlation and regression and to basic statistical inference (estimation, testing of means and proportions, ANOVA) using both bootstrap methods and parametric models. P/NP or letter grading." Introduction to Statistical Methods for Life and Health Sciences 263040200 08S STATS 0013 13 002 2 LEC F 5 5 "Lecture, three hours; discussion, one hour; laboratory, one hour. Not open for credit to students with credit for course 10, 10H, 11, 12, or 14. Presentation and interpretation of data, descriptive statistics, introduction to correlation and regression and to basic statistical inference (estimation, testing of means and proportions, ANOVA) using both bootstrap methods and parametric models. P/NP or letter grading." Introduction to Statistical Methods for Life and Health Sciences 263040210 08S STATS 0088 88 001 1 SEM F 2 2 course 10 or 10H or 11 or 12 or 13 or 14 "Seminar, two hours. Requisite: one course from 10, 10H, 11, 12, 13, or 14. Limited to 20 lower division students. Readings and discussions designed to introduce students to current statistical consulting research and fieldwork disciplines. Culminating project may be required. P/NP or letter grading." Sophomore Seminars: Statistics 263264200 08S STATS 0296 296 001 1 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576201 "Statistics 296, seminar 1:" 08S STATS 0296 296 002 2 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576202 "Statistics 296, seminar 2:" 08S STATS 0296 296 003 3 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576203 "Statistics 296, seminar 3:" 08S STATS 0296 296 004 4 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576204 "Statistics 296, seminar 4:" 08S STATS 0296 296 005 5 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576205 "Statistics 296, seminar 5:" 08S STATS 0296 296 006 6 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576206 "Statistics 296, seminar 6:" 08S STATS 0296 296 007 7 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576207 "Statistics 296, seminar 7:" 08S STATS 0296 296 008 8 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576208 "Statistics 296, seminar 8:" 08S STATS 0296 296 009 9 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576209 "Statistics 296, seminar 9:" 08S STATS 0296 296 010 10 SEM V 1 2 SU Seminar and discussion by staff and students. S/U grading. Participating Seminar: Statistics 663576210 "Statistics 296, seminar 10:" 08S STATS 0375 375 001 1 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620201 08S STATS 0375 375 002 2 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620202 08S STATS 0375 375 004 4 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620204 08S STATS 0375 375 005 5 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620205 08S STATS 0375 375 006 6 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620206 08S STATS 0375 375 007 7 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620207 08S STATS 0375 375 008 8 SEM V 1 4 SU "Seminar, to be arranged. Preparation: apprentice personnel employment as teaching assistant, associate, or fellow. Teaching apprenticeship under active guidance and supervision of regular faculty member responsible for curriculum and instruction at UCLA. May be repeated for credit. S/U grading." Teaching Apprentice Practicum 663620208 08S STATS 0273 C C273 001 1 LEC F 4 4 "Lecture, three hours; discussion, one hour. Geostatistics can be applied to many problems in other disciplines such as hydrology, traffic, air and water pollution, epidemiology, economics, geography, waste management, forestry, oceanography, meteorology, and agriculture and, in general, to every problem where data are observed at geographic locations. Acquisition of knowledge from different areas that can be used to analyze real spatial data problems and to connect geostatistics with geographic information systems (GIS). Concurrently scheduled with course C173. S/U or letter grading." Applied Geostatistics 663438200 08S STATS 0201C 201C 001 1 LEC F 4 4 course 201B "(Formerly numbered C217B.) Lecture, three hours. Enforced requisite: course 201B. Designed for graduate students. Building on tools of regression analysis (model fitting and criticism), exploration of recent advances in computer-intensive methods. Consideration of ensemble methods, techniques for data mining, and variety of other approaches that have emerged at boundaries between statistics, computer science, and machine learning. S/U or letter grading." Advanced Modeling and Data Mining 663009200 08S STATS 0202C 202C 001 1 LEC F 4 4 "Lecture, three hours. Requisite: course 202B. Description of Markov chain Monte Carlo (MCMC) sampling techniques, with emphasis on optimization and statistical estimation. Topics include Gibbs samplers, Metropolois/Hastins importance sampling, and simulated annealing. Alternative optimization techniques, including Newton/Raphson, dynamic programming, belief propagation, and variational methods. S/U or letter grading." Markov Chain Monte Carlo and Optimization 663015200 08S DESMA 0259 M M259 001 1 STU F 4 4 G "(Same as Statistics M237.) Studio, six hours. Requisites: courses 254, 256. Through expanding reach of telecommunications networks and general advancement of data collection technologies, almost every aspect of our lives can be ""rendered"" in data. Contemplation of use of data in creation of media art and examination of each step in process of data collection, analysis, and representation. Topics include databases and data warehousing, exploratory analysis and visualization, clustering and pattern finding, sampling, and various data mining algorithms. Exploration, through discussions, of fundamental concepts like complexity and randomness. Techniques that organize data, search for patterns, and create meaningful and/or expressive representations. Letter grading." Data and Media Arts 541354200 08S STATS 0089 89 001 1 SEM F 1 1 "Seminar, three hours. Limited to 20 students. Designed as adjunct to lower division lecture course. Exploration of topics in greater depth through supplemental readings, papers, or other activities and led by lecture course instructor. May be applied toward honors credit for eligible students. Honors content noted on transcript. P/NP or letter grading." Honors Seminars 263267201 08S STATS 0141SL 141SL 001 1 SEM F 4 4 T2 Course 140SL "Seminar, one hour; research group meeting, two hours. Enforced requisite: course 140SL. Limited to seniors. Opportunity to solve real data analysis problems for real community-based or campus-based clients. Students work in small groups with faculty member and client to frame client's question in statistical terms, create statistical model, analyze data, and report results. Weekly meetings in classroom setting to study basic consulting skills, share experiences, exchange ideas, and make reports. On-site visits as necessary. Courses 140SL and 141SL must be taken in consecutive terms. Letter grading." Practice of Statistical Consulting 263546200 08S STATS 0599 599 014 14 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995214 08S STATS 0599 599 015 15 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995215 08S STATS 0599 599 016 16 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995216 08S STATS 0599 599 017 17 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995217 08S STATS 0599 599 018 18 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995218 08S STATS 0599 599 019 19 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995219 08S STATS 0599 599 020 20 TUT V 2 12 SU "Tutorial, to be arranged. Preparation: advancement to Ph.D. candidacy. Study and research for Ph.D. dissertation. May be repeated for credit. S/U grading." Ph.D. Dissertation Research 663995220 08S STATS 0102C 102C 001 1 LEC F 4 4 course 100B "Lecture, three hours. Requisite: course 100B. Introduction to Markov chain Monte Carlo (MCMC) algorithms for scientific computing. Generation of random numbers from specific distribution. Rejection and importance sampling and its role in MCMC. Markov chain theory and convergence properties. Metropolois and Gibbs sampling algorithms. Extensions as simulated tempering. Theoretical understanding of methods and their implementation in concrete computational problems. P/NP or letter grading." Markov Chain Monte Carlo Methods: Introduction 263315200 08S STATS 0294 C C294 001 1 SEM F 2 2 "Seminar, one hour. Development of oral and written presentations of statistical data. Objectives and techniques of scientific writing and practice with different forms of professional writing. Participation in oral presentations of student work. Concurrently scheduled with course C184. S/U or letter grading." Scientific Writing 663564200 08S EDUC 0231E M M231E 001 1 LEC F 4 4 G "(Same as Statistics M244.) Lecture, three hours. Requisites: courses 231A, 231B. Extends path analysis (causal modeling) by considering models with measurement errors and multiple indicators of latent variables. Confirmatory factor analysis, covariance structure modeling, and multiple-group analysis. Identification, estimation, testing, and model building considerations. Letter grading." Statistical Analysis with Latent Variables 583284200 08S STATS 0161 C C161 001 1 LEC F 4 4 course 100B and Mathematics 33A "(Formerly numbered 161.) Lecture, three hours. Requisites: course 100B, Mathematics 33A. Introduction to pattern analysis and machine intelligence designed for advanced undergraduate and graduate students. May not be applied toward M.S. or Ph.D. requirements. Concurrently scheduled with course C261. P/NP or letter grading." Introduction to Pattern Recognition and Machine Learning 263666200 08S STATS 0184 C C184 001 1 SEM F 2 2 "Seminar, one hour. Development of oral and written presentations of statistical data. Objectives and techniques of scientific writing and practice with different forms of professional writing. Participation in oral presentations of student work. Concurrently scheduled with course C294. P/NP or letter grading." Scientific Writing 263704200 08S STATS 0189 189 001 1 SEM F 1 1 "Seminar, three hours. Limited to 20 students. Designed as adjunct to undergraduate lecture course. Exploration of topics in greater depth through supplemental readings, papers, or other activities and led by lecture course instructor. May be applied toward honors credit for eligible students. Honors content noted on transcript. P/NP or letter grading." Advanced Honors Seminars 263534200 "Statistics 189, seminar 1: Advanced Honors Seminar for Statistics 110B, Lecture 1" 08S STATS 0283 C C283 001 1 LEC F 4 4 "Lecture, three hours. Recommended requisite: course 100B or 110B. Designed for graduate students. Statistical techniques in investment theory using real market data. Portfolio management, risk diversification, efficient frontier, single index model, capital asset pricing model (CAPM), beta of a stock, European and American options (Black/Scholes model, binomial model). Concurrently scheduled with course C183. S/U or letter grading." Statistical Models in Finance 663498200