Abbreviated Syllabus

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

Instructor Information

  • Dr. Samantha Seals
  • Office: Dr. Seals is on sabbatical for Spring 2026 and will not be on campus regularly.

Office Hours

  • By appointment only. Please reach out to Dr. Seals directly to schedule a meeting.

Grading and Evaluation

The course grade will be determined as follows:

  1. Practice and Participation (10%): Students earn credit by engaging with course material through short 5 question quizzes after lecture.

  2. Weekly Projects (40%): All projects will be completed individually using R, formatted with Quarto. Projects are due on Tuesdays by 11:59 pm Central. Note: do not wait until Tuesday to start your projects.

    • Assignments 1-6 are eligible for resubmission after initial grading. Please take the feedback given, update your submission, then resubmit to Canvas. Credit will be awarded back for corrected problems.

  3. Project 7 (20%): This project will be a cumulative project that incorporates material from the entire course. It will be no different from other projects completed other than it combines all modeling approaches into one project. This project is exempt from the revision policy.

  4. Final Exam (30%): The final exam will be a timed concepts-based exam. While there may be some calculations needed, you will not be processing raw data. There will be no programming expectations on the final exam. Please see Canvas for your Final Exam date. The date of this exam will not change, so please make arrangements to be free for a continuous 3 hour block. Once the exam is open, the timer for 3 hours starts and continues, even if you close your browser window. No extensions will be granted nor will make up final exams be accepted.