Seminar

Presentation of research topics conducted by master's and doctoral students and outside speakers. Credit, 1 per semester; maximum credit, 6. (formerly Exercise Science)

Calculus I

This course is for students who have not studied calculus and who have the necessary precalculus background. It presents rates of change and their applications, integrals, the fundamental theorem, and modeling of phenomena in the natural and social sciences. All students are required to complete the online self assessment of precalculus skills before the course begins.

Statistics II

Basic ideas of point and interval estimation and hypothesis testing; one and two sample problems, simple linear regression, topics from among one-way analysis of variance, discrete data analysis and nonparametric methods. Prerequisite: Statistc 515 or equivalent.

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Experiencing Music

Most of us listen to music by putting on our headphones and connecting to the internet, but not that long ago, such a feat was physically and technologically impossible. In the space of little more than a generation, there has been a sea change in how we listen to music. What are some of the implications of this transformation? If we are usually alone when we’re doing it, can listening to music still be considered a communal activity? Have we privatized the musical space? Have we democratized it? Has live music become a quaint vestige of the past?

Abnormal Psychology

Various forms of psychopathology, including anxiety, stress, affective, addictive, developmental, psychosexual, personality, and schizophrenic disorders. The major theoretical perspectives on psychopathology reviewed. Various approaches to treatment.

Prerequisites: PSYCH 100 or 110

Science in the World

This 1-credit seminar is especially designed for;students transferring to Mount Holyoke to pursue;a major in the sciences or mathematics. The;course will connect new transfer students to;people and resources that will help them to fully;engage in the sciences at Mount Holyoke and;provide a space to practice the modes of;discourse common to upper-level science and math;courses. We explore interdisciplinary topics such;as the biology of stress, and learn about science;opportunities (including internships) and;effective strategies for excelling in science and;math courses.

Daniel Bensonoff

Submitted by Anonymous (not verified) on
Primary Title:  
Technical Assistant
Institution:  
UMASS Amherst
Department:  
UMass Dining - Administration
Email Address:  
dbensonoff@umass.edu
Telephone:  
413-545-2472

UMass Science Ambassadors Prog

This course is for students who have a passion for communicating about science. We provide training in science, technology, engineering, and mathematics (STEM) mentoring techniques and in STEM outreach approaches. You have the opportunity to work with small groups of middle school students and inspire them about all things STEM - as you direct their efforts in a STEM research project. You help your students through the entire process of STEM research, from coming up with an idea to communicating their results at a poster session.

UMass Science Ambassadors Prog

This course is for students who have a passion for communicating about science. We provide training in science, technology, engineering, and mathematics (STEM) mentoring techniques and in STEM outreach approaches. You have the opportunity to work with small groups of middle school students and inspire them about all things STEM - as you direct their efforts in a STEM research project. You help your students through the entire process of STEM research, from coming up with an idea to communicating their results at a poster session.

SEM: A.I.-NATURL LANGUAGE

Topics Course. This course will examine current research and techniques organized around a topic in the field of artificial intelligence. : This special topics course provides an introduction to programming computer systems that can understand and interact with humans through natural languages (such as English). The aim of this course is to go beyond “shallow” methods of parsing and computing word distributions and towards artificial intelligence software systems that think, understand, and communicate like real people.
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