Math and Data Exploration
| Autor: | Dennis Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Focus (computing)
Internet Theoretical computer science Data exploration business.industry Computer science Teaching method WWW.Life Sciences Education Statistics as Topic Sorting Data science General Biochemistry Genetics and Molecular Biology United States Education sort Humans The Internet business Host (network) Features Mathematics Computer technology Oligonucleotide Array Sequence Analysis |
| Zdroj: | CBE Life Sciences Education |
| ISSN: | 1931-7913 |
| Popis: | Biology is well suited for mathematical description, from the perfect geometry of viruses, to equations that describe the flux of ions across cellular membranes, to computationally intensive models for protein folding. For this short Web review, however, I'm going to focus on how mathematics helps us as biologists sort, evaluate, and draw conclusions about our data. Just as computer technology has revolutionized lab work, computers have revolutionized data analysis, in particular with a host of graphically driven methods for sorting, evaluating, and comparing data. The highly technical, often automated, and computationally driven biology of today makes it important to keep students aware of the importance of understanding the underlying mathematics. Computers might seem magical to students, but they only perform the calculations humans tell them to do. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|