Current Topics in Biology: Sptl Data Anlys Ecology

Course Description

Advanced topics courses in the biological sciences. Topics vary with instructor. Prerequisite: Minimum grade of C- in both BIO 111 and BIO 112; Passing grade in BIO 301, BIO 330, BIO 355, and BIO 375 OR permission of instructor; Note: May be repeated for credit.

Syllabus

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

  • Manipulate and visualize geospatial data using R and RStudio.
  • Understand and apply spatial referencing, coordinate systems, and map projections.
  • Perform spatial operations with vector data (e.g., overlays, joins, buffers).
  • Work with raster datasets to extract and summarize environmental variables.
  • Integrate ecological observations with environmental layers to explore species-habitat relationships.
  • Use Git and GitHub for version control and reproducible analysis workflows.

Course Grading Information:

Undergraduate (BIO449)

Activity/Performance Measure Percentage/Points
In-class activity report 80%
Exam (2 exams) 10% x 2 = 20%

Graduate (BIO 648)

Activity/Performance Measure Percentage/Points
In-class activity report 60%
Exam (2 exams) 15% x 2 = 30%
Mentoring 10%

Grading Scale

Percentage Letter Grade
>= 93%A
90 to < 93%A-
87 to < 90%B+
83 to < 87%B
80 to < 83%B-
77 to < 80%C+
73 to < 77%C
70 to < 73%C-
67 to < 70%D+
63 to < 67%D
60 to < 63%D-
< 60%F

Attendance/Participation:

After each class, students will be required to submit your R products. This will be considered as Attendance for this course. As such, attendance will affect final course grade through the “in-class activity report.”

Course Materials Purchased by the Students:

No course materials are required.

Scholarly Perspectives

This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.