Closed mfisada closed 9 months ago
Nice work, Cuc. Please submit all your work from HW #1, adjust your graph from HW #2, and submit all your work from HW #4.
Hi Cuc, I just checked the work you've submitted for bootcamp so far. Most of it looks great, but there are still a few things to change for full credit:
If you want help with your assignment, please message me and Andrew Bortvin on Slack as soon as possible.
Here is an updated version of your grading rubric:
Grading
Exercise | Task | Grade |
---|---|---|
E1 | Printed out first, tenth, last days | 1 |
E2 | Calculated averages for all patients | 1 |
E2 | Printed out first ten averages | 1 |
E3 | Printed out maximum | 1 |
E3 | Printed out minimum | 1 |
E4 | Printed out differences between patients | 1 |
Exercise | Task | Grade |
---|---|---|
E1 | Plot female data | 1 |
E1 | Add male data | 1 |
E1 | Plotted two x male data | 0 |
E1 | Added x axis label | 1 |
E1 | Added y axis label | 1 |
E1 | Labelled each line using a legend | 0 |
E1 | Added plot title | 1 |
Exercise | Task | Grade |
---|---|---|
E1 | mean.py calculates means |
1 |
E2 | mean_from_file.py reads in file and calculates means |
1 |
E3 | mean_inflammation.py contains function that calculates mean inflammation |
1 |
E3 | mean_inflammation.py prints output |
1 |
E4 | difference_inflammation.py contains function that calculates the difference in inflammation |
1 |
E4 | difference_inflammation.py prints output |
1 |
Exercise | Task | Grade |
---|---|---|
E1 | Created a function to simulate WF | 1 |
E1 | Find the number of generations to fixation | 1 |
E1 | Plot of allele frequency over time | 1 |
E2 | Plot of allele frequency over time for multiple alleles | 0 |
E2 | Histogram of times to fixation | 0 |
E3 | Plot of population size vs time to fixation | 1 |
E3 | Plot of starting allele frequency vs time to fixation | 1 |
E4 | Short written answers to three questions | 0 |
All worth 1 pt, except exercise 4, exercise 4, which is worth 3
Grading
Day 1 Homework
Day 2 Homework:
Day 3 Homework:
mean.py
calculates meansmean_from_file.py
reads in file and calculates meansmean_inflammation.py
contains function that calculates mean inflammationmean_inflammation.py
prints outputdifference_inflammation.py
contains function that calculates the difference in inflammationdifference_inflammation.py
prints outputDay 4 Homework:
All worth 1 pt, except exercise 4, exercise 4, which is worth 3