Jia Zhuang

Submitted by Anonymous (not verified) on
Primary Title:  
Inst Tech Support Spec
Institution:  
UMASS Amherst
Department:  
Information Technology
Email Address:  
jiazhuang@umass.edu
Office Building:  
W.E.B. Du Bois Library

Harry A Seymour

Submitted by Anonymous (not verified) on
Primary Title:  
Assistant Director, Admissions
Institution:  
UMASS Amherst
Department:  
Enrollment Management
Email Address:  
haseymour@umass.edu
Telephone:  
413-545-0222

Juan Carlos Roman

Submitted by Anonymous (not verified) on
Primary Title:  
Technical Assistant
Institution:  
UMASS Amherst
Department:  
Facilities & Campus Services
Email Address:  
jcroman@umass.edu
Telephone:  
413-545-6522
Office Building:  
Physical Plant Building

ST- Formal Pragmatics

This course aims at modeling the role of the context of utterance in the construction of linguistic meaning; it does so by - but not exclusively by - exploring the relation between truth-conditional and non truth-conditional content. We elucidate the notions of speech acts, discourse and utterance, and we concentrate on a small number of phenomena: presupposition and non at-issue content, implicatures, focus and questions.

St- Egyptian Arabic V

This course is offered in a special independent study format through the Five College Center for the Study of World Languages. The course develops speaking and listening skills in colloquial Egyptian Arabic. The independent study format includes small group conversation sessions with a native speaker and a final evaluation by an outside evaluator. In order to enroll in this course, students must have completed Egyptian Arabic IV or the equivalent.

Canine Tumor Research Project

This laboratory course is an introduction to mammalian cell culture techniques in the context of conducting basic research with primary canine tumors and an established canine mammary cell line. Topics include etiology of canine mammary and mast cell cancers, canine mammary cancer as a model for human breast cancer, development of patient-derived xenografts, and immunohistochemistry.

S-DistribtdMachLrng&DataMining

In this seminar, students will explore state-of-the-art techniques for finding patterns and functional relationships in data that is split across multiple locations. Topics include factorized learning for vertically partitioned data, model fitting via distributed stochastic gradient descent, and more. Students will read and present papers from a list provided by the instructors.

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.

Sem: Volcanology

Systematic discussion of volcanic phenomena, types of eruptions, generation and emplacement of magma, products of volcanism, volcanic impact on humans, and the monitoring and forecasting of volcanic events. Case studies of individual volcanoes illustrate principles of volcanology; particular attention to Hawaiian, ocean-floor, and Cascade volcanism.
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