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Statistics C 156: Data Management
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: one course from 10, 11, 12, 13, or 14. Proper methods by which researchers should create, document, maintain, and utilize statistical databases. Basics of raw data formats to completion of data archive. Concurrently scheduled with course C235. P/NP or letter grading.
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Statistics C 156 - Data Management
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Statistics C 160: Site-Specifics Topics
4.00 Credits
University of California-Los Angeles
Seminar, three hours. Tracking of invisible flows of data through greater Los Angeles metropolitan area, with focus on small number of specific sites situated prominently in both physical and virtual (data) spaces. Documentation of kinds of data that originate, terminate, or simply route through each location. Consideration of analyses (visual, computational, or simply informal), decisions that are made, and actions that are taken on basis of these data, whether they be human or automated responses. Documentation of how patterns of data acquisition and analysis dictate behaviors, enable or restrict movements, and shape local community. Alterations or additions to data flows that could improve quality of life for inhabitants of or visitors to sites. May be repeated for credit; however, only one C160 may be applied toward major or minor requirements. Concurrently scheduled with course C260. P/NP or letter grading.
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Statistics C 160 - Site-Specifics Topics
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Statistics C 161: Introduction to Pattern Recognition and Machine Learning
4.00 Credits
University of California-Los Angeles
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.
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Statistics C 161 - Introduction to Pattern Recognition and Machine Learning
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Statistics C 173: Applied Geostatistics
4.00 Credits
University of California-Los Angeles
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.
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Statistics C 173 - Applied Geostatistics
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Statistics C 180: Introduction to Bayesian Statistics
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. Requisites: Mathematics 32B, 33B. Designed for juniors/seniors. Introduction to statistical inference based on use of Bayes theorem, covering foundational aspects, current applications, and computational issues. Topics include Stein paradox, nonparametric Bayes, and statistical learning. Examples of applications vary according to interests of students. May not be applied toward Ph.D. in Statistics. Concurrently scheduled with course C236. P/NP or letter grading.
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Statistics C 180 - Introduction to Bayesian Statistics
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Statistics C 182: Fundamentals of Scientific Writing
2.00 Credits
University of California-Los Angeles
Seminar, one hour. Development and perfection of student written communication skills through variety of scientific writing and reading assignments. Objectives and techniques of scientific writing and practice with different forms of professional writing. Analysis of quality of writing, including control, clarity, grammar, and mechanics. Concurrently scheduled with course C295. P/NP or letter grading.
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Statistics C 182 - Fundamentals of Scientific Writing
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Statistics C 183: Statistical Models in Finance
4.00 Credits
University of California-Los Angeles
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.
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Statistics C 183 - Statistical Models in Finance
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Statistics C 184: Scientific Writing
2.00 Credits
University of California-Los Angeles
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.
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Statistics C 184 - Scientific Writing
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Statistics M 154: Measurement and Its Applications
4.00 Credits
University of California-Los Angeles
(Same as Psychology M144.) Lecture, three hours. Requisites: courses 10, 11, 12, 13, 14, Psychology 100A. Selected theories for quantification of psychological, educational, social, and behavioral science data. Classical test, factor analysis, generalizability, item response, optimal scaling, ordinal measurement, computer-adaptive, and related theories. Construction of tests and measures and their reliability, validity, and bias. P/NP or letter grading.
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Statistics M 154 - Measurement and Its Applications
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Statistics M171: Introduction to Spatial Statistics
4.00 Credits
University of California-Los Angeles
Lecture, three hours; laboratory, one hour. Requisite: one course from 10, 11, 12, 13, or 14. Introduction to methods of measurement and interpretation of geographic distributions and associations. P/NP or letter grading.
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Statistics M171 - Introduction to Spatial Statistics
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