Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
Author(s): Adam Rumpf
Florida Polytechnic University
2086 total view(s), 2656 download(s)
Summary:
In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least…
Contents:
- Bacterial Growth Model Fitting Description and Learning Objectives.pdf(PDF | 2 MB)
- Bacterial Growth Model Fitting Handout.pdf(PDF | 779 KB)
- Bacterial Growth Model Fitting Instructor Notes.pdf(PDF | 2 MB)
- contents.txt(TXT | 322 B )
- data_table.ods(ODS | 4 KB)
- data_table.txt(TXT | 101 B )
- data_table.xlsx(XLSX | 11 KB)
- data_table_revised.ods(ODS | 4 KB)
- data_table_revised.txt(TXT | 209 B )
- data_table_revised.xlsx(XLSX | 11 KB)
- first_exercise.ods(ODS | 3 KB)
- first_exercise.txt(TXT | 126 B )
- first_exercise.xlsx(XLSX | 9 KB)
- links.txt(TXT | 386 B )
- Source Files.zip(ZIP | 2 MB)
- Bacterial Cell Growth - Fitting an Exponential Model
- Bacterial Cell Growth - Fitting a Linear Model
- Bacterial Cell Growth - Linear Model Error
- Bacterail Cell Growth - Fitting a Logistic Model
- Bacterial Cell Growth - Fitting a Second Linear Model
- License terms
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Brian Winkel @ on
Adam - this is very well laid out and nicely written up. Moreover, seems to have gotten lots of attention in QUBES.
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