The book is appropriately comprehensive, covering the basics as well as interesting and important applications of Bayesian methods.

Think Stats is an introduction to Probability and Statistics for Python programmers.

*Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
*If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

This book is written for students who have taken calculus and want to learn what “real mathematics" is. We hope you will find the material engaging and interesting, and that you will be encouraged to learn more advanced mathematics. This is the second edition of our text. It is intended for students who have taken a calculus course, and are interested in learning what higher mathematics is all about. It can be used as a textbook for an "Introduction to Proofs" course, or for self-study. Chapter 1: Preliminaries, Chapter 2: Relations, Chapter 3: Proofs, Chapter 4: Principles of Induction, Chapter 5: Limits, Chapter 6: Cardinality, Chapter 7: Divisibility, Chapter 8: The Real Numbers, Chapter 9: Complex Numbers. The last 4 chapters can also be used as independent introductions to four topics in mathematics: Cardinality; Divisibility; Real Numbers; Complex Numbers.

Created for a first-year university course, this linear algebra textbook takes an unusual approach: it introduces vector spaces at the outset and deals with linear systems only after a thorough introduction to vector spaces. This approach is based on the authors' experience over the past 25 years that students often need more time to master vector spaces while traditional textbooks relegate the topic to the end of the course. In this way, these new notions at the heart of linear algebra that are often considered abstract and difficult in an introductory course can then be used in the rest of the course as well as in different contexts.

Short Description:
The BCcampus Open Education Virtual Lab and Science Resource Directory lists free science resources designed to support remote science education. This directory is updated as new resources are identified. Note that, while all resources in this directory are free, not all are open. Resources that carry Creative Commons or otherwise open licences are clearly labelled.

Long Description:
The BCcampus Open Education Virtual Lab and Science Resource Directory lists free science resources designed to support remote science education. This directory is updated as new resources are identified. Note that, while all resources in this directory are free, not all are open. Resources that carry Creative Commons or otherwise open licences are clearly labelled.

Word Count: 8477

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Short Description:
This book uses a tidyverse approach to introduce various forms of visualization to assist in exploratory data analysis, and data visualization.

Word Count: 3017

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This course introduces students to the types of writing they will encounter in business, industry, the academic world and government. It examines the rhetorical nature of writing and asks students to think critically about content, audience, argument and structure. Students will learn how to effectively design documents, present instructions, create proposals and produce technical reports.

Course Outcomes:
1. Analyze the rhetorical needs (the needs of the audience in relationship to the assignment) for college-level evidence-based technical writing assignments.
2. Apply appropriate levels of critical thinking strategies (knowledge, comprehension, application, analysis, synthesis, evaluation) in their written assignments, with an emphasis on technical, evidence-based analysis, reporting, application, and evaluation.
3. Implement appropriate rhetorical elements and organization (executive summary, introduction, thesis, development and research-based support, visual evidence, conclusion, etc.) in their written assignments, with an emphasis on technical evidence-based analysis, reporting, and evaluation assignments.
4. Locate, evaluate, and integrate high-quality information and opinion appropriate for technical evidence-based assignments.
5. Craft sentences and paragraphs that communicate their ideas clearly and effectively using words, sentence patterns, and writing conventions at a high college level to make their writing clear, credible, and precise.

This set of problems for Linear Algebra in the open-source WeBWorK mathematics platform was created under a Round Eleven Mini-Grant for Ancillary Materials Creation. The problems were created for an implementation of the CC-BY Lyrix open textbook A First Course in Linear Algebra. Also included as an additional file are the selected and modified Lyryx Class Notes for the textbook.

Topics covered include:

Linear Independence
Linear Transformations
Matrix of a Transformation
Isomorphisms
Eigenvalues and Eigenvectors
Diagonalization
Orthogonality

These open-source mathematics homework problems are programmed for the WeBWorK mathematics platform and correspond to chapters in OpenStax Calculus Volume I. They were created through a Round Eight Textbook Transformation Grant.

These open-source mathematics homework problems are programmed for the WeBWorK mathematics platform and correspond to chapters in OpenStax Introductory Statistics. They were created through a Round Eight Textbook Transformation Grant.

Short Description:
For immediate access, this book may be downloaded in PDF format. The original LaTeX files may be downloaded from the GitHub repository.

Word Count: 39132

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)