Search Result: %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 lg %D0%BD%D0%B0 %D0%B4%D0%BE%D0%BC%D1%83 %D0%B2 %D0%BE%D0%BC%D1%81%D0%BA%D0%B5 %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%B0 samsung cool n cool %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D1%80%D0%B5%D0%BC%D0%B1%D1%8B%D1%82%D1%82%D0%B5%D1%85%D0%BD%D0%B8%D0%BA%D0%B0 %D0%B2 %D1%87%D0%B5%D0%BB%D1%8F%D0%B1%D0%B8%D0%BD%D1%81%D0%BA%D0%B5 %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D0%B2 %D1%81%D0%B0%D0%BD%D0%BA%D1%82 %D0%BF%D0%B5%D1%82%D0%B5%D1%80%D0%B1%D1%83%D1%80%D0%B3%D0%B5 %D1%86%D0%B5%D0%BD%D1%82%D1%80%D0%B0%D0%BB%D1%8C%D0%BD%D1%8B%D0%B9 %D1%80%D0%B0%D0%B9%D0%BE%D0%BD %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D0%B4%D0%B2%D0%B5%D1%80%D0%B8 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%B0 %D0%BC%D0%BE%D1%81%D0%BA%D0%B2%D0%B0 * %F0%9F%93%9E %D0%A7%D0%B0%D1%81%D1%82%D0%BD%D1%8B%D0%B9 %D0%BC%D0%B0%D1%81%D1%82%D0%B5%D1%80 - %D0%97%D0%B2%D0%BE%D0%BD%D0%B8%D1%82%D0%B5 89675550899 %D0%9D%D0%B8%D0%B7%D0%BA%D0%B8%D0%B5 %D1%86%D0%B5%D0%BD%D1%8B %F0%9F%93%9E * %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D0%BD%D0%B0 %D0%B4%D0%BE%D0%BC%D1%83 %D0%B2 %D0%BC%D1%8B%D1%82%D0%B8%D1%89%D0%B8 %D0%B4%D0%B5%D1%88%D0%B5%D0%B2%D0%BE %D0%BA%D1%83%D1%80%D1%81%D1%8B %D0%BF%D0%BE %D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8E %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82%D0%B0 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D0%B0%D0%B2%D0%B8%D1%82%D0%BE %D0%BC%D0%BE%D1%81%D0%BA%D0%B2%D0%B0 %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D1%87%D0%B0%D1%81%D1%82%D0%BD%D1%8B%D0%B9 %D0%BC%D0%B0%D1%81%D1%82%D0%B5%D1%80 %D0%B3%D0%B0%D1%80%D0%B0%D0%BD%D1%82%D0%B8%D0%B9%D0%BD%D1%8B%D0%B9 %D1%80%D0%B5%D0%BC%D0%BE%D0%BD%D1%82 %D1%85%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2 %D1%81%D1%82%D0%B8%D0%BD%D0%BE%D0%BB%0A

Jul
20

THEA 209L – Costume Crafts Lab

Prerequisites/Corequisites: Credit Hours: Min: ; Max: Description:

By Breanna Lisenby |
DETAIL
Jul
20

THEA 205 – Acting II

Prerequisites/Corequisites: Take THEA-200 or THEA-203. (Required, Previous). Credit Hours: Min: 2; Max: Description: Application of basic improvisational and movement techniques. Introduction to the Stanislavski system. Solo and scene work stressing textual analysis and resulting characterization.

By Breanna Lisenby |
DETAIL
Jul
20

STAT ELECTIV – Statistics Elective

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
DETAIL
Jul
20

THEA 101WH – Intro to Theatre:washington Seminar

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
DETAIL
Jul
20

THEA 101HH – Intro.To Theatre

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
DETAIL
Jul
20

THEA 200 – Actor for Non-Majors

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description: An overview of the actor’s art, including the history, theory, and practices of the craft of acting. Class exercises and scene assignments will allow students to expand their ability to use their voices, bodies, and imaginations on the stage. Credit cannot be given for both Theatre 200 and […]

By Breanna Lisenby |
DETAIL
Jul
20

THEA 201 – Theatrical Makeup

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description: Analysis and study of makeup materials and the art of makeup application, including the basic procedures and techniques of creating a character based makeup design.

By Breanna Lisenby |
DETAIL
Jul
20

STAT 340 – Introduction to Data Science

Prerequisites/Corequisites: Take STAT-220. (Required, Previous). Credit Hours: Min: 3; Max: Description: The course will introduce students to the process of extracting insight about the world through data. This includes collecting, organizing and visualizing data, understanding statistical and machine learning methods, training these methods on a particular data set, and validating and testing the results. The […]

By Breanna Lisenby |
DETAIL
Jul
20

STAT 421 – Mathematical Statistics

Prerequisites/Corequisites: # Take MATH-306 # Take MATH-312; Minimum grade C # Take MATH-230 or MATH-311; Minimum grade C. (Required, Previous). Credit Hours: Min: 3; Max: Description: This course will cover topics of statistical inference including point estimators, confidence intervals, minimum variance unbiased estimation, method of maximum likelihood estimation, large sample theory, hypothesis testing, and power […]

By Breanna Lisenby |
DETAIL
Jul
20

STAT 320 – Introduction to Experimental Design

Prerequisites/Corequisites: Take STAT-220. (Required, Previous). Credit Hours: Min: 3; Max: Description: This course will cover the design and analysis of experiments, including one and two factor analysis of variance, randomized designs, repeated measure and factorial experiments. The course will make use of appropriate statistical software such as R, SAS or Minitab.

By Breanna Lisenby |
DETAIL
Jul
20

STAT 221 – Statistical Methods II

Prerequisites/Corequisites: Take STAT-220. (Required, Previous). Credit Hours: Min: 3; Max: Description: STAT 221 is a continuation of Statistical Methods I (STAT 220) and is designed to introduce students in different disciplines to more complex data models utilizing statistical software. By the end of the course, students should have the conceptual understanding and knowledge to implement […]

By Breanna Lisenby |
DETAIL
Jul
20

STAT 240 – Introduction to Statistical Computing

Prerequisites/Corequisites: Take STAT-220. (Required, Previous). Credit Hours: Min: 3; Max: Description: This course will cover topics in statistical computing including reading and manipulating data, data structures, producing graphical data representation, analyzing data with statistical tests and procedures. The course will make use of appropriate statistical software such as R or SAS.

By Breanna Lisenby |
DETAIL