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Statistics 130D: Statistical Programming,Computation,and Visualization in C/C++/VTK
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: Program in Computing 10A or 10B or 10C or 20A. Intermediate programming and computation course, with emphasis on statistical and visualization aspects of research in biomedical, optical imaging, and high-dimensional data analysis. P/NP or letter grading.
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Statistics 130D - Statistical Programming,Computation,and Visualization in C/C++/VTK
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Statistics 14: Introduction to Statistical Methods in Physical Sciences and Engineering
5.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour; laboratory, one hour. Requisite: Mathematics 31A. Not open for credit to students with credit for course 10, 10H, 11, 12, or 13. Introduction to conceptual and technical aspects of statistics, with attention to applications of physical sciences and engineering. Topics include data collection and experimental design, quantifying uncertainty in measurement, descriptive statistics, introduction to time series and regression. Laboratory component to learn data analysis on real data and fundamental techniques of computer statistical analysis, including bootstrap methods. P/NP or letter grading.
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Statistics 14 - Introduction to Statistical Methods in Physical Sciences and Engineering
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Statistics 140SL: Practice of Statistical Consulting
4.00 Credits
University of California-Los Angeles
Lecture, one hour; discussion, two hours. Enforced requisites: courses 88, 100B, 101B, one course from 130A through 130D. 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. In Progress grading (credit to be given only on completion of course 141SL).
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Statistics 140SL - Practice of Statistical Consulting
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Statistics 141SL: Practice of Statistical Consulting
4.00 Credits
University of California-Los Angeles
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.
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Statistics 141SL - Practice of Statistical Consulting
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Statistics 150: Data Analysis
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisites: courses 100A and 100B, or 101B and 101C, or 110A and 110B, or one course from 10, 11, 12, 13 and one upper division statistics course. Practice in solving statistical problems, with coverage of basics of cleaning and checking data, exploratory analysis, model building, model checking, reporting results, working with "clients." P/NP or letter grading.
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Statistics 150 - Data Analysis
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Statistics 153: Statistical Analysis with Missing Data
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: course 102A. Study of methods dealing with nonresponse and missing data, including introduction to terminology, limitations of simple methods, and modern methods for dealing with missing data, such as EM algorithm and multiple imputation. P/NP or letter grading.
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Statistics 153 - Statistical Analysis with Missing Data
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Statistics 158: Statistical Analysis of Internet and World Wide Web Data
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: course 100B or 100C or 101B. Demography and statistical models of browsing behavior of World Wide Web users, models of Internet traffic data, and statistics methods for creating better Web search engines and spam filters. Use of large data sets to illustrate important issues and statistical solutions. Statistical software, some programming, handling of large data sets, and text mining, with emphasis on acquiring hands-on experience and on becoming active participants in current research debates. P/NP or letter grading.
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Statistics 158 - Statistical Analysis of Internet and World Wide Web Data
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Statistics 165: Statistical Methods and Data Mining
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: course 100A. Introduction and overview of up-to-date statistical methods in microarray analysis designed for students in biostatistics, statistics, and human genetics who are interested in technology and statistical analysis of microarray experiments. Useful for biology students with basic statistical training who are interested in understanding logic underlying many statistical methods. P/NP or letter grading.
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Statistics 165 - Statistical Methods and Data Mining
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Statistics 170: Introduction to Time-Series Analysis
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. Requisite: course 100C or 110B or 120A. Exploration of standard methods in temporal and frequency analysis used in analysis of numerical time-series data. Examples provided throughout, and students implement techniques discussed. P/NP or letter grading.
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Statistics 170 - Introduction to Time-Series Analysis
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Statistics 186: Careers in Statistics
1.00 Credits
University of California-Los Angeles
Seminar, one hour. Discussion of applications of statistics by weekly guest speakers. How statistics is applied to legal questions, economic decisions, arts, environment, and other fields, with some emphasis on career paths in statistics. P/NP grading.
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Statistics 186 - Careers in Statistics
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