D-Lab Instructor Training Workshop

This repository contains the materials for D-Lab's Instructor Training workshop.

Workshop Goals

In this workshop, we provide an overview of D-Lab workshop instruction. In part one, you will reflect on and practice pedagogical approaches to ensure learning goals are communicated and learners are motivated. In part two, you will learn how to introduce, teach and engage participants in D-Lab workshops.

Learning Objectives

After part one of this workshop, you will be able to:

• Reflect on your past experiences and goals as instructors.
• Practice pedagogical approaches to ensure learning goals are communicated and learners are motivated.
• Receive support about your teaching.
• Help to foster a culture of learning and growth.

After part two of this workshop, you will be able to:

• Introduce D-Lab workshops.
• Distinguish between the different sections used in workshop notebooks.
• Practice teaching and engaging participants.
• Connect principles of teaching to workshop instruction.

Installation Instructions

Before attending the workshop, you should install Python and Jupyter to your computer. If you need help, please submit a consulting request with D-Lab prior to the start of the workshop.

Anaconda is software that allows you to run Python and Jupyter notebooks on your computer. Installing Anaconda is the easiest way to make sure you have all the necessary software to run the materials for this workshop. Complete the following steps:

1. Download and install Anaconda (Python 3.9 distribution). Click "Download" and then click 64-bit "Graphical Installer" for your current operating system.

2. Download the materials in this repository:

• Click the green "Code" button in the top right of the repository information.
• Click "Download Zip".
• Extract this file to a folder on your computer where you can easily access it (we recommend Desktop).

3. Optional: if you're familiar with git, you can instead clone this repository by opening a terminal and entering git clone [email protected]:dlab-berkeley/Instructor-Training.git.

Run the code

Now that you have all the required software and materials, you need to run the code:

1. Open the Anaconda Navigator application. You should see the green snake logo appear on your screen. Note that this can take a few minutes to load up the first time.

2. Click the "Launch" button under "Jupyter Lab" and navigate through your file system to the Python-Fundamentals folder you downloaded above.

3. Navigate to lessons

4. Open the Python-Instructor.ipynb notebook to begin.

5. Press Shift + Enter (or Ctrl + Enter) to run a cell.

Is Python not working on your laptop?

If you do not have Anaconda installed and the materials loaded on your workshop by the time it starts, we strongly recommend using the UC Berkeley Datahub to run the materials for these lessons. You can access the DataHub by clicking this button:

The DataHub downloads this repository, along with any necessary packages, and allows you to run the materials in a Jupyter notebook that is stored on UC Berkeley's servers. No installation is necessary from your end - you only need an internet browser and a CalNet ID to log in. By using the DataHub, you can save your work and come back to it at any time. When you want to return to your saved work, just go straight to DataHub, sign in, and you click on the Python-Fundamentals folder.

If you don't have a Berkeley CalNet ID, you cannot run these materials.

About the UC Berkeley D-Lab

D-Lab works with Berkeley faculty, research staff, and students to advance data-intensive social science and humanities research. Our goal at D-Lab is to provide practical training, staff support, resources, and space to enable you to use R for your own research applications. Our services cater to all skill levels and no programming, statistical, or computer science backgrounds are necessary. We offer these services in the form of workshops, one-to-one consulting, and working groups that cover a variety of research topics, digital tools, and programming languages.

Visit the D-Lab homepage to learn more about us. You can view our calendar for upcoming events, learn about how to utilize our consulting and data services, and check out upcoming workshops.

Contributors

Emily Grabowski

Tom van Nuenen