Current Courses

STP 226-Elements of Statistics

STP 231-Statistics for the Biosciences

STP 420-Introductory Applied Statistics

These courses all serve as an introductory course to Statistics. As is my trend in teaching statistics courses, this course focuses on integrating technology as well as modern approaches to Statistics.  Students leaving this course will have a solid foundation of core concepts in Statistics that will serve them well in later courses.  Students will work in groups to complete a semester long Data Analysis Project so that they have experience putting what they learn into practice, using real world data.

The course websites may be accessed here: iMathAS

For this course, students will need to download and install JMP 13 Pro from MyApps (part of My ASU).

Additionally, students will need to access the following online applets throughout the semester:


Past Courses

STP 226-Elements of Statistics

This course serves as an introductory course to Statistics. This course is open to students in any major. As is my trend in teaching statistics courses, this course focuses on integrating technology as well as modern approaches to Statistics.  Students leaving this course will have a solid foundation of core concepts in Statistics that will serve them well in later courses.  Students will work in groups to complete a semester long Data Analysis Project so that they have experience putting what they learn into practice, using real world data.

MAT 210-Brief Calculus

Brief Calculus, also known as Business Calculus, serves as a first course in a calculus sequence that focuses on applications of the core ideas in calculus in the business world. The course site may be accessed through BlackBoard.

STP 420-Introductory Applied Statistics

This course serves as an upper division, introductory course. I have the pleasure of redesigning this course for the school. Students will use software throughout the semester (specifically, JMP Pro) as they wrestle with the various concepts.

The course website can be accessed here: iMathAS.

STP 231-Statistics for the Biosciences

This course is the required introduction to statistics for all life science majors at ASU. In this course we will take a hands-on approach to the foundational ideas of Statistics.  Students will work in groups to complete an Exploratory Data Analysis project so that they may learn first-hand just a few of the intricacies of doing Statistics.

For this course, students will need to download JMP (JMP Pro) from MyApps (part of MyASU) or R/RStudio. Additional information about the course is in the syllabus.

The course website can be accessed here: iMathAS.

Additionally, students in STP231 will need to use the following pages:

Additional resources will be published to this page as the semester continues.

This course section focuses on students building productive meanings for the core ideas of Statistics. In particular, I've designed this course so that students develop the view that statistics are functions of data which provide measures of a data collection's attributes. This approach puts quantitative reasoning as a core component; students must engage in quantification. Additionally, this course provides a rigorous treatment of the idea of distribution which underpins all of statistical inference.

Summer 2016B: Pre-calculus (ASU)

Summer 2016A: Pre-calculus (ASU)

The Summer 2016 Pre-calculus courses are the products of redesigning a research-based curriculum (Pathways to Precalculus) to emphasize co-variational and quantitative reasoning. During this course, students repeatedly had to reason about how different quantities' values co-varied in animations and video clips. Through the instructional sequence, students built and refined mathematical tools such as the Cartesian and Polar coordinate systems, graphs, and average-rate-of-change. Students learned how using this last tool could enable them to categorize different types of co-variation and build mathematical models that describe that co-variation.

Spring 2016: Statistics for the Biosciences (ASU)

Fall 2015: Teaching Associate for the graduate level Research in Undergraduate Mathematics Education I course (ASU)

Spring 2014: Statistics for the Biosciences (ASU)

Fall 2013: Pathways Pre-calculus (ASU)