| source UCLA (125) University of Washington (84) Rice (75) University of Canterbury (75) UC Davis (63) Berkeley (56) Harvard (51) University of Auckland (46) University of Illinois at Urbana-Champaign (40) City University of New York (39) Yale (29) University of Toronto, Mississauga (26) University of Texas at Austin (13) Stanford (10) Lund University (7) |
level Graduate (13) |
department Statistics (X) |
TTh 1.00-2.15 Fall 2009 Final exam scheduled (Group 26) 12/15/2009 T 2.00 Skills QR Statistical and probabilistic analysis of biological problems presented with a unified foundation in basic statistical theory. Problems are drawn from genetics, ecology, epidemiology, and bioinformatics. Each course in the STAT 101a-106a series provides a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100b.
Score: 7.274892 Details | Listing | Web page
TTh 1.00-2.15 Fall 2009 Final exam scheduled (Group 26) 12/15/2009 T 2.00 Skills QR Statistical analysis of politics, elections, and political psychology. Problems presented with reference to a wide array of examples: public opinion, campaign finance, racially motivated crime, and public policy. Each course in the STAT 101a-106a series provides a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100b.
Score: 7.274892 Details | Listing | Web page
TTh 1.00-2.15 Fall 2009 Final exam scheduled (Group 26) 12/15/2009 T 2.00 Skills QR Descriptive and inferential statistics applied to analysis of data from the social sciences. Introduction of concepts and skills for understanding and conducting quantitative research. Each course in the STAT 101a-106a series provides a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100b.
Score: 7.274892 Details | Listing | Web page
TTh 1.00-2.15 Fall 2009 Final exam scheduled (Group 26) 12/15/2009 T 2.00 Skills QR Statistical methods used in medicine and medical research. Practice in reading medical literature competently and critically, as well as practical experience performing statistical analysis of medical data. Each course in the STAT 101a-106a series provides a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100b.
Score: 7.274892 Details | Listing | Web page
TTh 1.00-2.15 Fall 2009 Final exam scheduled (Group 26) 12/15/2009 T 2.00 Skills QR An introduction to probability and statistics with emphasis on data analysis. Each course in the STAT 101a-106a series provides a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100b.
Score: 7.274892 Details | Listing | Web page
MF 11.35-12.50 Fall 2009 No regular final examination Skills QR Permission of instructor required An introduction to basic concepts of statistics and probability that allow us to describe, evaluate, and understand aspects of the world and make informed choices. Relationships among statistical reasoning, cognitive psychology, and philosophical theories of knowledge.
Score: 7.274892 Details | Listing | Web page
Fall 2009 No regular final examination Permission of instructor required Introduction to the theory of rational choice, the idea that individuals choose, from an explicit list of possible actions, the action that maximizes expected wealth. Examination of whether individual choices conform to this theory, especially in cases where outcomes are uncertain. Some attention to probability theory and game theory.
Score: 7.274892 Details | Listing | Web page
MWF 2.30-3.20 Fall 2009 Final exam scheduled (Group 37) 12/18/2009 F 2.00 Skills QR Fundamental principles and techniques of probabilistic thinking, statistical modeling, and data analysis. Essentials of probability, including conditional probability, random variables, distributions, law of large numbers, central limit theorem, and Markov chains. Statistical inference with emphasis on the Bayesian approach. Introduction to regression and linear models. Computers are used for calculations, simulations, and analysis of data.
Score: 7.274892 Details | Listing | Web page
MWF 9.25-10.15 Fall 2009 Final exam scheduled (Group 32) 12/12/2009 S 9.00 Skills QR Introduction to probability theory. Topics include probability spaces, random variables, expectations and probabilities, conditional probability, independence, discrete and continuous distributions, central limit theorem, Markov chains, and probabilistic modeling.
Score: 7.274892 Details | Listing | Web page
TTh 9.00-10.15 Fall 2009 Final exam scheduled (Group 22) 12/12/2009 S 2.00 Skills QR The geometry of least squares; distribution theory for normal errors; regression, analysis of variance, and designed experiments; numerical algorithms (with particular reference to S-PLUS); alternatives to least squares. Generalized linear models.
Score: 7.274892 Details | Listing | Web page
MW 2.30-3.45 Fall 2009 No regular final examination Skills QR Through analysis of data sets using the R statistical computing language, study of a selection of statistical topics such as linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Weekly sessions in the Statistical Computing laboratory.
Score: 7.274892 Details | Listing | Web page
STAT 501 01 (10510) /E&EB210/MCDB215/STAT101/E&EB510 TTh 1.00-2.15 Fall 2009 Statistical and probabilistic analysis of biological problems presented with a unified foundation in basic statistical theory. Problems are drawn from genetics, ecology, epidemiology, and bioinformatics. Note: Courses numbered STAT 501-506 present a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks are attended by all students in STAT 501-506 together as general concepts and methods of statistics are developed. The course separates for the last six and a half weeks, which develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit.
Score: 7.274892 Details | Listing | Web page
STAT 502 01 (11210) /STAT102/EP&E101/PLSC452 TTh 1.00-2.15 Fall 2009 Statistical analysis of politics, elections, and political psychology. Problems presented with reference to a wide array of examples: public opinion, campaign finance, racially motivated crime, and public policy. Note: Courses numbered STAT 501-506 present a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks are attended by all students in STAT 501-506 together as general concepts and methods of statistics are developed. The course separates for the last six and a half weeks, which develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit.
Score: 7.274892 Details | Listing | Web page
STAT 503 01 (11211) /PLSC453/STAT103/EP&E102 TTh 1.00-2.15 Fall 2009 Descriptive and inferential statistics applied to analysis of data from the social sciences. Introduction of concepts and skills for understanding and conducting quantitative research. Note: Courses numbered STAT 501-506 present a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks are attended by all students in STAT 501-506 together as general concepts and methods of statistics are developed. The course separates for the last six and a half weeks, which develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit.
Score: 7.274892 Details | Listing | Web page
STAT 505 01 (11212) /STAT105 TTh 1.00-2.15 Fall 2009 Statistical methods relied upon in medicine and medical research. Practice in reading medical literature competently and critically, as well as practical experience performing statistical analysis of medical data. Note: Courses numbered STAT 501-506 present a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks are attended by all students in STAT 501-506 together as general concepts and methods of statistics are developed. The course separates for the last six and a half weeks, which develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit.
Score: 7.274892 Details | Listing | Web page
STAT 506 01 (11214) /STAT106 TTh 1.00-2.15 Fall 2009 An introduction to probability and statistics with emphasis on data analysis. Note: Courses numbered STAT 501-506 present a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks are attended by all students in STAT 501-506 together as general concepts and methods of statistics are developed. The course separates for the last six and a half weeks, which develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit.
Score: 7.274892 Details | Listing | Web page
STAT 538 01 (11215) /STAT238 MWF 2.30-3.20 Fall 2009 Fundamental principles and techniques of probabilistic thinking, statistical modeling, and data analysis. Essentials of probability: conditional probability, random variables, distributions, law of large numbers, central limit theorem, Markov chains. Statistical inference with emphasis on the Bayesian approach: parameter estimation, likelihood, prior and posterior distributions, Bayesian inference using Markov chain Monte Carlo. Introduction to regression and linear models. Computers are used throughout for calculations, simulations, and analysis of data. After MATH 118a or b or 120a or b. Some acquaintance with matrix algebra and computing assumed.
Score: 7.274892 Details | Listing | Web page
STAT 541 01 (11216) /STAT241/MATH241 MWF 9.25-10.15 Fall 2009 A first course in probability theory: probability spaces, random variables, expectations and probabilities, conditional probability, independence, some discrete and continuous distributions, central limit theorem, Markov chains, probabilistic modeling. After or concurrent with MATH 120a or b or the equivalent.
Score: 7.274892 Details | Listing | Web page
STAT 542 01 (11225) HTBA Fall 2009 Principles of statistical analysis: maximum likelihood, sampling distributions, estimation; confidence intervals; tests of significance; regression; analysis of variance; and the method of least squares. Some statistical computing. Concurrently with or after STAT 541a and MATH 222a or b or 225a or b or the equivalent.
Score: 7.274892 Details | Listing | Web page
STAT 610 01 (11252) TTh 10.30-11.45 Fall 2009 A systematic development of the mathematical theory of statistical inference covering methods of estimation, hypothesis testing, and confidence intervals. An introduction to statistical decision theory. Undergraduate probability at the level of STAT 541a assumed.
Score: 7.274892 Details | Listing | Web page
STAT 612 01 (11226) /STAT312 TTh 9.00-10.15 Fall 2009 The geometry of least squares; distribution theory for normal errors; regression, analysis of variance, and designed experiments; numerical algorithms (with particular reference to S-plus); alternatives to least squares. Generalized linear models. Linear algebra and some acquaintance with statistics assumed.
Score: 7.274892 Details | Listing | Web page
STAT 618 01 (11228) Fall 2009 A careful study of some standard asymptotic techniques in statistics and econometrics, and their modern refinements. Topics selected from classical likelihood theory and M-estimation; empirical process methods; concentration inequalities; semiparametric models; local asymptotic normality; concepts of efficiency. Prerequisite: knowledge of probability at the level of STAT 600b.
Score: 7.274892 Details | Listing | Web page
STAT 625 01 (11229) HTBA Fall 2009 Statistical analysis of a variety of problems including the value of a baseball player, the fairness of real estate taxes, how to win the Tour de France, energy consumption in Yale buildings, and interactive questionnaires for course evaluations. We emphasize methods of choosing data, acquiring data, and assessing data quality. Computations use R.
Score: 7.274892 Details | Listing | Web page
STAT 627 01 (11230) 1 HTBA Fall 2009 Statistical consulting and collaborative research projects often require statisticians to explore new topics outside their area of expertise. This course exposes students to real problems, requiring them to draw on their expertise in probability, statistics, and data analysis. Students complete the course with individual projects supervised jointly by faculty outside the department and by one of the instructors. Students enroll for both terms and receive one credit at the end of the year.
Score: 7.274892 Details | Listing | Web page
STAT 661 01 (11233) /AMTH361/STAT361 MW 2.30-3.45 Fall 2009 By analyzing data sets using the R statistical computing language, a selection of statistical topics are studied: linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Weekly sessions are held in the Social Sciences Statistical Laboratory. After or concurrent with STAT 542a or b and MATH 222a or b or 225a or b or the equivalents.
Score: 7.274892 Details | Listing | Web page
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