Afro-Am Literature of 1930's

An intensive look at the literature of African Americans between the Harlem Renaissance and the emergence of Richard Wright and his naturalistic vision. The historical context, the continuing influence of the Harlem Renaissance, other art of the period, the influence of the political climate on the poetry and prose of representative African American writers of the 1930s, and the directions for African American literature of the 1940s mapped out in the 1930s. (Gen.Ed. AL, U)

Business Process Simulation

Computer simulation presented for carrying out trial-and-error experiments on computer approximations of real, management systems. The goal is to 1) validate a new idea quickly, 2) diagnose potential product design problems, 3) optimize performance of complex systems, and 4) learn about something complex. The Arena environment, based on the SIMAN language, used to build models and video game-like animations.

Business Data Analysis

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables.

S-UMass Women Into Leadership

UMass Women into Leadership (UWiL) is a series of hands-on workshops designed to educate participants on the existence and causes of gender disparities in public service, to provide leadership training to prepare participants to enter public service careers, and to offer mentoring and networking programs to help launch public service careers.

Financial Engineering

Theoretical and practical aspects of creating and managing an investment portfolio. Topics in investments including options strategies, commodities and other futures markets, problems and performance of institutional investments. Quantitative solution techniques and performance measurement procedures.

Machine Learning

Introduction to methods permitting machines to learn: decision tree induction, cover generation, candidate elimination, artificial neural networks, inductive logic programming. Bayesian, instance-based, reinforcement, apprentice, macro, and explanation-based learning. Use of computer required. Prerequisite: CMPSCI 383.
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