BIOL282
BIOFRONTIERS: INTRO PYTHON
- Department
- Biology
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
Section information text: Life is complex. So complex, in fact, that it borders the unknowable. Technological advancements have offered many ways to explore this complexity, often producing data that requires the use of computers to extract information that our brains can understand. As such, computers have quickly become as essential as microscopes and pipettes for all kinds of biology laboratories. The goal of the online course is to introduce the students to the Python programming language, giving them the skills needed for low level programming (scripting), as well as the use of Python-based tools applied to biological sciences. The student will learn how to use several basic Python libraries for advanced mathematical and statistical operations, operating with biological sequences and data visualization. The student will learn how to install and access the documentation of new packages and will be introduced to several Python packages for more specific applications such as functional genome annotation, structural biology, phylogenetics, image processing and chemistry.
Syllabi
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Offerings and forecast 2020
2020
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2020 | Not offered | Not offered | Not offered | 1 section |
Meeting times
Recent firstNo meeting times.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Intersession 2020-21 | Miguel Naranjo-Ortiz | Online | 0.5 | 16 of 24 enrolled | 50085 |