Editing UW Statistics Courses
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'''Economics/Stastics (ECON/STAT):''' If you already have good linear algebra and multivariate calculus, Taking ECON 580 and 581 is a good short-cut to getting a lot of methods covered in other classes. You could take SOC 504,505,506, CS&SS 503,504 560, and 564 or you could take ECON 580, 581 and read a few books. This is the ideal class for any CDSC folks although it will likely be a poor choice until you have a relatively strong mathematics background. Details on these classes are provided below. | '''Economics/Stastics (ECON/STAT):''' If you already have good linear algebra and multivariate calculus, Taking ECON 580 and 581 is a good short-cut to getting a lot of methods covered in other classes. You could take SOC 504,505,506, CS&SS 503,504 560, and 564 or you could take ECON 580, 581 and read a few books. This is the ideal class for any CDSC folks although it will likely be a poor choice until you have a relatively strong mathematics background. Details on these classes are provided below. | ||
'''Education Psychology (EDPSY):''' EDPSY490, EDPSY491 strong focus on psychometric techniques drawn from psychology. Should be relatively easier and very applied but will not provide a good training for research using non-experimental settings. Due to the rigor and the focus on experiments, ANOVA, and SPSS, this is discouraged for CDSC members | '''Education Psychology (EDPSY):''' EDPSY490, EDPSY491 strong focus on psychometric techniques drawn from psychology. Should be relatively easier and very applied but will not provide a good training for research using non-experimental settings. Due to the rigor and the focus on experiments, ANOVA, and SPSS, this is discouraged for CDSC members. | ||
== Other First-Year Courses == | == Other First-Year Courses == | ||
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There are many useful courses offered by the Center for Statistics in the Social Sciences (CSSS). Most of CSSS classes are applied and will give you a chance to apply the methods that you learn to your own projects. Try to take advantage of these opportunities to make progress on your research. CSSS 509 is an exception, and will be discussed below under econometrics. | There are many useful courses offered by the Center for Statistics in the Social Sciences (CSSS). Most of CSSS classes are applied and will give you a chance to apply the methods that you learn to your own projects. Try to take advantage of these opportunities to make progress on your research. CSSS 509 is an exception, and will be discussed below under econometrics. | ||
'''CSSS566, Causal Inference''' CS&SS 566 is good. It covers experimental, instrumental variable, and quasi-experimental designs, structural equation modeling, and DAGs. It takes a relatively philosophical and theoretical approach to causality and shows that common assumptions about causal identification can be wrong (e.g adding a variable to your model ''can''introduce bias (in theory). | |||
'''CS&SS504, Applied Regression''' is an applied, but still technical course on regression. It may vary based on who is teaching the class. This will be the default option for [[CDSC]] students. | '''CS&SS504, Applied Regression''' is an applied, but still technical course on regression. It may vary based on who is teaching the class. This will be the default option for [[CDSC]] students. | ||
'''CS&SS 560, hierarchical modeling''' is important. Hierarchical models are the bread and butter for working with datasets that have community level variables and individual level variables, or that have longitudinal data. | '''CS&SS 560, hierarchical modeling''' is important. Hierarchical models are the bread and butter for working with datasets that have community level variables and individual level variables, or that have longitudinal data. | ||
== Mathematical Statistics and Econometrics == | == Mathematical Statistics and Econometrics == | ||
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There are also 400 level introduction to machine learning classes in CSE and STAT, but STAT 588 looks better than either of these. | There are also 400 level introduction to machine learning classes in CSE and STAT, but STAT 588 looks better than either of these. | ||