Instructor
Carlos Sotuyo

The teaching of mathematics

Teaching mathematics and statistics hinges on nurturing students' ability to not just crunch numbers, but to contemplate and connect. At its core lies the belief that these subjects are more than tools for computation, but rather powerful languages for reasoning and interpretation. Therefore, the journey through equations and data analysis transcends passive knowledge ingestion.

 

 

RESOURCES:

Millersville University:
Review sheets: Basic Algebra, Trigonometry, Calculus One, Two & Three.

MATHISPOWER4U tutorials: Algebra, Calculus I, II, III, differentail eq, set theory, logic, etc.

Community Calculus: Whitman College, ebooks.

Volumes of Solids of Revolution, Loyola Univ, Maryland.

Summary of conic sections, Stewart.

Area of a surface of revolution, Stewart.

 

Run R code online

The R Project for Statistical Computing
https://r-project.org

Datasets Available in R - GitHub Pages

Probability Distributions in R (Stat 5101, Geyer)

Columbia Univ: Statistics, R Notes.

Quick R by statmethods.net

Probability Distributions in R,
University of Minnessota.

College of Staten Island: Using R for Introductory Statistics:
John Verzani: download it here.

SimpleR is a previous version
of John Verzani's ebook.

Logistic Regression in R: 1, 2
Logistic regression and glm (pdf)

TYPESETTING basic math in MS Word - LaTex