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Overview

[Use this space to introduce the major topics, concepts, or themes for this week. Consider identifying main ideas to which students should pay special attention, articulating questions themes or debates, connections to other topics covered in your course/industry, and ways in which the material could feel personal to the student.

You may also consider pointing out the potential challenges: is there anything that’s particularly hard and are there supplemental materials that may help students overcome the challenges?]

This week, we will examine a [insert topic] in the context of [insert information]. Specifically, we will learn more about [insert information] and how it relates to [insert information] in this [industry]. These are the main ideas that would be beneficial to pay attention to: 

This week [this information can be challenging] but you will get some clarity on by [completing this task].

To-Do List

[Help keep students on track by providing a To-Do list in this space. Follow the organization of the Module (top to bottom) to keep the learning path clear and concise. Please see the sample below.]

In order to successfully complete Week 1, please do the following:

  1. Complete: The Discussion: Introduce Yourself to your Classmates and Survey: Getting to Know You
  2. Review: Week 1 Lecture Presentation Slides
  3. Read from the Library Reading List [replace this link once menu item activated/how-to]: The reading from Week 1 - Grolemund, G., & Wickham, H. (2017). R for Data Science. O’Reilly Media. As you are reading, please think about the following questions and we will review them in class:  [Question 1] [Question 2]
  4. Watch the following video:  As you are watching, consider how the themes of [theme 1][theme 2] are relevant in your daily lives.
  5. Discuss: Join your classmates in a Group Discussion using the prompts to discuss the topics in Week 1 — Discussion about this week's topic