Problem Solving/Object Prog

'Computers are used every day for an enormous variety of tasks, from playing games and chatting with friends to transferring billions of dollars, delivering radiation treatments, and controlling the electrical grid. Computer programs are an essential ingredient in allowing for this great diversity of applications. In this course, you will learn to create your own programs, based on core programming concepts and analytical problem solving approaches. You will develop dynamic programs by first using Adobe Flash CS4 and AS3 (ActionScript 3), the technology behind many Web applications.

Intro Computer Science

'An introduction to basic computer science concepts with a focus on Python programming to manipulate images and sounds. Laboratory assignments will provide the main programming opportunities with Python, images, and sounds, while lectures will cover topics such as the origins of computing, computer architecture, artificial intelligence, and robotics.'

Mathematical Statistics

'This course is an introduction to the mathematical theory of statistics and to the application of that theory to the real world. Topics include probability, random variables, special distributions, introduction to estimation of parameters, and hypothesis testing.'

Elem Data Analysis/Exper Desgn

'A fundamental fact of science is that repeated measurements exhibit variability. The course presents ways to design experiments that will reveal systematic patterns while 'controlling' the effects of variability and methods for the statistical analysis of data from well-designed experiments. Topics include completely randomized, randomized complete block, Latin Square and factorial designs, and their analysis of variance. The course emphasizes applications, with examples drawn principally from biology, psychology, and medicine.'

Intro Ideas/Applic Statistics

'This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.'

Intro Ideas/Applic Statistics

'This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.'

Sem: Mothers & Daughters

'Study of this crucial and problematic relationship in modern novels and films from Romance cultures. Exploration of the mother-daughter bond as literary theme, social institution, psychological dynamic, and metaphor for female creativity. Readings include Western myths and diverse theories of family arrangements (Rousseau, Freud, Chodorow, Rich, Irigaray, Giorgio, Mernissi, Nnaemeka).
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