---
# System prepended metadata

title: '[Turing Workshop for Data Science Educators](https://conferences.leeds.ac.uk/dseducators)'
tags: [Turing Workshop for Data Science Educators, Data Science Education]

---

[Turing Workshop for Data Science Educators](https://conferences.leeds.ac.uk/dseducators)
===
# Theme 3: Data Science curricula
###### tags: `Turing Workshop for Data Science Educators` `Data Science Education`

:::info
- **time and day**: Wednesday 21th September, 9:00-17:00 (GMT+1)
- **Meeting host**: Luisa Cutillo
- **Meeting facilitator**: Mary Paterson (online), Eric Atwell (in person)
- **Back to the Main Call**: [MS teams meeting joining link](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YjFhMzczZDUtZjI0Yi00NmMzLThhNjItNWNhNGE1OTViY2U5%40thread.v2/0?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%225059c8a0-43a5-44f0-b487-8ec42fe4bea5%22%7d)
- **Back to the Main hackmd**: [link](https://hackmd.io/@Cutillo/SkFEn9Ees)


:::

### Collaborative exercises

*Up to 1h in breakout rooms (in person or online).

#### Theme 3
:::info
**Data Science curricula  - collaborative excercise**: discussion to identify critical areas of interest to include in our data science curricula. What is missing in our DS curricula?   
**Remote Participant:** [**Clik here to Join Theme3 call**](https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWQwYmVlNzctMzUxMy00MTVjLTg1MzAtNTE1ODYwZDBlYzE5%40thread.v2/0?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%225059c8a0-43a5-44f0-b487-8ec42fe4bea5%22%7d)
:::


---

#### Group Discussion (online)
*Please use this space to take notes from your breakout group discussion.*

- Based on your own experience(s), what do you think are the current standards in DS education?
  -  Data preprocessing and visualisation
  -  Machine learning
  - Big data analysis
  - Probability and Statistics
  - Python
  - 
  - 
  
- How can we ensure students are taught the most up-to-date skills and computational tools?
  - Industry and academia collaberations
  - Activities based around current papers
  - Industrial papers
  - Pick bad papers as examples of what not to do
- What suggestions can you make for improving the way we test problem-solving skills of our students?
  - Open book assessments
  - Project based
  - Group projects between classes
  - Open ended problems
  - 
  - 
  - 
    
- What suggestions can you make for improving the way we assess our students' attitute to coding in a way that is scalable?
  - Auto graders
  - Hire more people
  - Advertising to TAs
- Are there any useful tools and resources you could share with other DS educators?
  - Git
  - Youtube
  - Google colab notebooks
  - udacity.com
  - Virtual machines
  - Kaggle
  - 

- What have you valued most in this workshop?
  - 
  -  
  - 
  - 
  - 
  - 
  - 

#### Group Discussion (in person)
*Please use this space to take notes from your breakout group discussion.*

- Based on your own experience(s), what do you think are the current standards in DS education?
  - 
  - 
  - 
- How can we ensure students are taught the most up-to-date skills and computational tools?
  - 
  - 
  - 
- What suggestions can you make for improving the way we test problem-solving skills of our students?
  - 
  - 
  -    
- What suggestions can you make for improving the way we assess our students' attitute to coding in a way that is scalable?
  - 
  - 
  - 
- Are there any useful tools and resources you could share with other DS educators?
  - 
  - 
  - 

- What have you valued most in this workshop?
  - 
  - 
  - 