Course Description
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.
Rationale
The ability to efficiently analyze and interpret large datasets is an important skill for statisticians. Statistical computing courses provide students with a versatile skill set that can be applied across various disciplines.
Course Assignment
Textbook readings and lecture presentations
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussions (2)
Discussions are collaborative learning experiences. Therefore, the students will participate in two discussions of approximately 700 words. The student will also post at least two replies of at least 250 words.
Homework Assignments (5)
Students will complete 5 homework assignments based on course readings and presentations.
Project Assignment
Students will complete one project using R.
Journal Article Review
Students will review/critique one peer-reviewed journal article.
Quizzes (2)
Each quiz will cover the Learn material for the assigned Module: Week. Each quiz will be open-book/open-notes, contain 15 multiple-choice, true/false, and short answer questions, and have a 60 minute time limit.
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