Abbreviated Syllabus

Note: this is an abbreviated syllabus. The full syllabus is available through Classmate and/or Canvas.

Instructor Information

Meeting Times and Location

  • MW 1:00-2:15 pm
  • Classroom: 74/109

Office Hours

  • Monday: 9:00-11:00 am
  • Tuesday: 9:00-11:00 am
  • Tuesday: 2:00-4:00 pm
  • Other times by appointment

Grading and Evaluation

The course grade will be determined as follows:

  1. Class participation (10%): Students will complete written examples in class. One example will be used as an exit ticket at the end of the class.

  2. Workshop participation (20%): Some lecture meetings will be R workshops, where students will analyze data and submit a written report. The resulting file should be submitted to the appropriate assignment on Canvas (see Canvas for due dates).

  3. Exams (30%): Three will be given:

    • 09/23 (Weds): Modules 1 and 2 (\(t\)-tests and ANOVA)
    • 10/14 (Weds): Module 3 (categorical analysis)
    • 11/18 (Weds): Module 4 (regression analysis)

  4. Project (10%): Students will complete and present a project related to regression analysis.

    • 11/09 (Mon): R workshop for project
    • 11/16 (Mon): Project presentations

  5. Final Exam (30%): The final exam will be a concepts-based written exam. While there may be some basic calculations needed, students will not be processing raw data.

    • 12/09 (Mon): Final Exam, 11:00 am – 1:30 pm

Late Policy

Assignments have due dates, however, the Canvas assignments will not close until the end of the semester. All students are automatically granted “extensions” without question.

Note that if there is not a submission at the initial grading submission (after the initial deadline), a zero (0) will be assigned. This is only for record keeping purposes. There is no penalty for submitting late and a full grade will be given upon review of your submission.

Extensions are not available for the project or final exam.