Intro to Stats Modeling

(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

Intro to Stats Modeling

(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

Intro to Analysis

Completeness of the real numbers; topology of n-space including the Bolzano-Weierstrass and Heine-Borel theorems; sequences, properties of continuous functions on sets; infinite series, uniform convergence. 

Requisite: MATH 211 and either MATH 271 or 272, or consent of the instructor. Students with a grade of B+ or lower in linear algebra are encouraged to take another 200-level course with proofs before taking MATH 355.

Limited to 25 students. The Department. 

Witch Hunt!

[Before 1800] What was magic in the early modern world? Why did it cause a crisis in the sixteenth and seventeenth centuries? How did that crisis shape the literature of its time? We will follow competing ideas about magic as they ran like wildfire through the imagination of artists, playwrights, and preachers from medieval Germany through Renaissance England to Puritan Massachusetts.

Abigail G Andrews

Submitted by admin on
Primary Title:  
Research Fellow
Institution:  
UMASS Amherst
Department:  
Environmental Conservation
Email Address:  
agandrews@umass.edu
Office Building:  
Holdsworth Hall
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