CS: Introduction in Python

An interactive introductory computer science resource promoting active learning in Python with auto-graded assessments and minimal text.

CS: Introduction in Python

Modules

  1. Basic Skills
  2. Operators
  3. Conditionals
  4. Loops
  5. Lists
  6. Strings
  7. Files
  8. Functions
  9. Recursion

Take a Peek Inside

 

What Learners are Saying

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Really enjoyed the course

Really enjoyed the course! Nice way of teaching.

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Just perfect for me!

The theory explanation combined with the practical exercises was just perfect for me. Thanks a lot, Codio!

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Lots of Hands-on Practice

Very educational and helpful for learning at your own pace, without having to listen to long lectures. A lot of hands-on practice is involved which is helpful for perfecting the Python basics.

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Simple, clear, and fun

Great course. I love this way of teaching; it's simple, clear, and fun. The environment is great for coding and when I needed help I found it the same day from the Codio support team.

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Interesting and engaging

Interesting and engaging course for learning the fundamentals; I have learned from and enjoyed it.

Instructors

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What's Included?

Constructing Knowledge Through Coding

CS: Introduction in Python emphasizes students applying and exploring the information presented. A code editor accompanies each page with new concepts so students can see for themselves how the computer responds to code. In addition, the content provides code snippets to get students started as well as suggested avenues for investigation.

Auto-Graded Assessments

Students receive immediate, rich feedback. In addition to correctness feedback (i.e. right or wrong), students will also see an explanation with the complete solution. There are a wide variety of questions — all of which are auto-graded, giving students a sense of their understanding of the material right after they are introduced to it and as they attempt harder and harder problems.

Lowering the Barrier to Entry

CS: Introduction in Python reflects the need for computer science education to meet students where they are. Like any specialized community, computer science has its own jargon. The formal teaching of computer science should not burden students with the assumption that they are fluent in this special language. The material is presented in smaller units that are more manageable for the students. The same vocabulary and concepts are covered, but in a more approachable way — state things as plainly as possible, and, when appropriate, use images, tables, or lists.

Another way in which this content is more approachable is that it uses many small programs instead of one large program. Research shows that a variety of smaller problems increase student performance and reduce stress. Using many small programs leads to students spending a sufficient amount of time on their work, and they do not wait until the last moment to begin their work. 

Encouraging Customization Through Modularity

This content is not a one-size-fits-all solution. Instead, it implements a modular format. Natural breakpoints occur in the curriculum where instructors can make the changes they deem necessary. Instructors can re-name, re-order, or remove units and can author new material using Codio’s powerful curriculum content authoring tools. This modular approach gives instructors flexibility when designing the learner’s experience

Mix-and-Match This Content With:

CS: Objects in Python

Think Python

Create a Maze Game

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