Code Monkey home page Code Monkey logo

semester-biology's People

Contributors

andrewmarx avatar asntech avatar atyre2 avatar beastyblacksmith avatar brymz avatar danieleweeks avatar davharris avatar dependabot[bot] avatar drlabratory avatar ethanwhite avatar garezana avatar gvwilson avatar hlapp avatar katrinleinweber avatar kristinariemer avatar marconis avatar mikoontz avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

semester-biology's Issues

Add Tidy Data problems based on Data Carpentry messy data

Rather than have students use a database with some problems for several weeks and potentially internalize poor structure, we've switched over to using the Portal Project Teaching Database for the main SQL exercises. This means we need messy data for database structure/tidy data problems.

Data Carpentry has messy data designed for looking at this problem. See, e.g.,
http://datacarpentry.github.io/spreadsheet-ecology-lesson/01-format-data.html

We should concert the current database structure problems to something based on this data, or add new "Tidy Data" problems based on this data and tweak the existing database structure problems to have the students download a the original database file that has all of the structural issues in it.

Code blocks

Reduce length of code blocks to match web translation.
Code chunks that take up a whole line should be placed in a code block.

Translate Lists-2 to Lists-9

(Subissue #1 )

There are nine Lists exercises, but only Lists-1 is used in an assignment. Are we going to use them?
Lists-2 and Lists-3 follow-up on Lists-1.
Lists-5 can introduce matrices.
Also, we should come up with an exercise to introduce lists. I use them when I have tables or lists of multiple data types that is entered from the script. Data with multiple data types in .csv get entered as data frames.

***I've been meaning to have this 'what to do with unused exercises` chat more broadly.

Add links to output solutions

Add these links to:

  1. The bottom of each problem in an assignment
  2. Parenthetically after each exercise on the Exercises page

Update urls to gh-pages links

(Subtask of #1 )

OLD: [Functions 5]({{ site.baseurl }}/exercises/Functions-5/)

NEW: [Functions 5]({{ site.baseurl }}/exercises/Functions-5-R/)

Jeckyl Formatting

(For down the road.)

I saw the newest Software Carpentry lesson (http://swcarpentry.github.io/web-data-python/) and it made me think about the way we format our exercises and how that will look when rendered by Jeckyl.

I'd like to look through a couple examples to gather some thoughts and chat with you sometime. We can also look through some of the Data Carpentry lessons, though they like look they are still mostly 'generic' github wiki pages.

`dplyr` module

(Reference PRs #49, #60)

We need a module set that introduces dplyr. I like the Dr. Granger - shrub carbon problem set for this. The order would be 'Scientific 0', 'Combining Basics', 'Statistics 2'.

Issues with formatting in assignments

Something got mixed up a little in the formatting of assignments. Compare:

I think this is happening because the assignment name is capitalized. See the commit message for my solution to this:
ethanwhite/progbio@79c5bbc

This means that the assignments need to start with lower case letters and the exercises start with capital letters. Yes, it is awful.

Organizing page links by title always chooses Python exercises

(Subissue #85, Related PR #91)

assignments/index.md directs Jekyll to arrange find a list of exercises and arrange an assignments page using the exercise titles. Python and R assignments share titles, which means that currently the R assignments list is populated by Python exercises. Will have to code in the language from yaml here or change the titles throughout.

Advanced Topics

(sub issue #1; related to #46)

I have gone through the advanced course exercises and chosen a small(ish) set of topics and exercises I think would be worth considering for inclusion in the project. My idea is that these would provide an opportunity for classroom students to continue on from the course and have a direction for what is next if they are to continue pursuit of scientific programming and for at-home students to learn a handful of important, but a bit more complicated, skills.

After completing this list, #1 will be complete. We can also decide any or all are not worth it, and can be done with #1 now.

The list of exercises breaks into two categories.

  1. New 'advanced' skills:
    -'Higher Order Functions 2'
    -Regular Expressions 1'
    -'Debugging'
    -'Tests 1'
  2. Challenging review:
    -'Basic 1'
    -'Basic 2'
    -'Making Choices 4'
    -'Scientific Python 3'

Consider revising schedule.md

While looking through the schedule.md, it struck me that we could organize the order of videos/readings to follow the order of the exercises. In my mind, the structure would look like:

  • Topic 1 [reading link] | [video link]
  • Topic 2 [reading link]
  • Topic 3 [video link]
  • etc.

Create outcome solutions for all exercises

For both R and Python exercises we need a way to help both self-directed learners and university students check their work, but without giving them answers in code that they could just cut and paste for assignments. By showing them what the outcome of successfully running the code should look like, we both clarify the intent of the question and help students check their work. This also begins to introduce the benefits of testing.

The result here would be a new folder containing the "solutions" (i.e., what the output should look like) for each exercise, using the same naming structure as the associated exercise. Separate solutions will be necessary for R and Python since the details of the output won't be the same.

Update file names

(mentioned in discussion for #1)
(related to #35)

Make sure file names / titles that were changed get updated in all files and urls.

Translate Loops-4 & Loops-5

(Subissue #1)

Loops-4 seems like a useful extension of Loops-2 (old name: 'Loops-3')
Not sure what Loops-5 is about.

R curriculum discussion

Re: Basic-Python2.md exercise comments.
I include a mention of built-in functions in this exercise. I'm not sure that custom functions are required here, so maybe it would be best to introduce the idea in a later lesson.
We should introduce the various data classes (character, factor, numeric) and organizational structures (list, matrix, array, data frame) in an early lesson. Not sure where is the best place.

Descriptive Titles

(subissue #1)

'Graphing 3' used to be called 'Graphing adult size vs newborn size'. Simplifying the descriptive title to a number made me wonder if all of the problems should have a descriptive title. The descriptive title would identify the new problem/solution presented in the exercise. One of the strings exercises might get a descriptive title of 'Basic stringr functions'. A making choices exercise might get a descriptive title of 'Using mathematical operators' or 'if else statements'.

I think it makes sense to organize the directory using the current Name-X 'titles' and add a 'descriptive title' or 'subtitle' to the exercise yaml.

Update Python material to Python 3

All necessary modules are now available in Python 3 and it will make teaching easier by removing common points of confusion like integer division. The most common thing we'll been to fix is changing print statements from:

print x

to

print(x)

Translate Making-choices-4

(subissue #1)

I will skip this exercise for now because it is not in the assignments list, but I'd like to revisit it as it looks like a strong exercise.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.