Expands on prior introductions to the scientific method and examines the steps involved in the planning, collection, organization, analysis and presentation of biological data. Classes will explore the types of data used to answer biological questions, review the importance of sampling design, assess the benefits and limitations of various data types for scientific inference, and teach basic principles of statistical modeling. Labs will teach students how spreadsheets, databases, cloud computing, and AI can be used to manipulate, analyze, and present the results of biological research. Prerequisites: BIOL 207 or BIOL 208; and STAT 151 or SCI 151.
| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
|
LECTURE A1
(55739) |
102 |
2026-09-01 - 2026-12-08 (MWF)
10:00 - 10:50
|
Primary Instructor: Erin Bayne
|
| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
|
LAB D1
(55740) |
20 |
2026-09-01 - 2026-12-08 (M)
14:00 - 16:50
|
Primary Instructor: Erin Bayne
|
|
LAB D2
(55741) |
20 |
2026-09-01 - 2026-12-08 (T)
14:00 - 16:50
|
Primary Instructor: Erin Bayne
|
|
LAB D3
(56090) |
20 |
2026-09-01 - 2026-12-08 (W)
14:00 - 16:50
|
Primary Instructor: Erin Bayne
|
|
LAB D4
(56091) |
20 |
2026-09-01 - 2026-12-08 (R)
14:00 - 16:50
|
Primary Instructor: Erin Bayne
|
|
LAB D5
(58596) |
20 |
2026-09-01 - 2026-12-08 (R)
08:00 - 10:50
|
Primary Instructor: Erin Bayne
|