Data Science and AI Education local interest group at UoL: 4th meeting notes

Data Science and AI Education local interest group at UoL: 4th meeting notes === ###### tags: `4th meeting` `Data Science and AI Education UoL` :::info - **Call time and day**: Monday 27th March, 14:00-15:00 (GMT+1) - **Meeting host**: [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo) - **Meeting facilitators**: [Paul Baxter, LIDA](https://medicinehealth.leeds.ac.uk/medicine/staff/117/professor-paul-d-baxter) and [Ayesha Magill, ATI](https://www.turing.ac.uk/people/business-team/ayesha-magill) - **Call joining link**: [MS teams meeting](https://eur03.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253aWx2E7m2vOgY7iXT3EY83nZWfH2OhTEt0gIlX_o1DL-81%2540thread.tacv2%2F1677762681879%3Fcontext%3D%257b%2522Tid%2522%253a%2522bdeaeda8-c81d-45ce-863e-5232a535b7cb%2522%252c%2522Oid%2522%253a%25225059c8a0-43a5-44f0-b487-8ec42fe4bea5%2522%257d&data=05%7C01%7CL.Cutillo%40leeds.ac.uk%7C4b6541290d034d8473da08db1b1f9f1a%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C1%7C0%7C638133594840613889%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=SNktIfcvEuME3xVy%2Beii32d8flQZ7QaKK8IxgiTvrzA%3D&reserved=0) - **Private Github repo**: [DS and AI Education Local Interest Group UoL](https://github.com/luisacutillo78/DS-and-AI-edu-UoL-private) ::: # 4th meeting ## Agenda :::success | Agenda | Speaker | Time | | ------------------------ | ------------------------------- | ----------------- | | [Intro and announcements](https://slides.com/luisacutillo/4th-meeting-ds-ai-education-lig-uol-a645bf) | [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo) | 14:00 - 14:10 | Complete | New member introductions | [Barbara Summers, LUBS](https://business.leeds.ac.uk/departments-management/staff/357/professor-barbara-summers) | 14:10 - 14:15 | Complete | New member introductions | [Xingjie Wei, LUBS](https://business.leeds.ac.uk/departments-management/staff/366/dr-xingjie-wei) | 14:15 - 14:20 | Complete Follow up on previous topic discussion (Interdisciplinary projects) + Intro to Teaching Resources | [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo) | 14:20 - 14:25 | Complete |Collaborative exercise | Breakout rooms | 14:25 - 14:50 | Complete | Reflections, discussions and Q&A | Everyone | 14:50 - 15:00 | ::: --- ## Collaborative exercise *up to 25 minutes in breakout groups of 3-10 people* *Please use this space to take notes from your breakout group discussion.* --- --- ## Group 1 --- ### Interdisciplinary (alias *Cross-Disciplinary*) MSc Projects From previous discussion our vision is to organise group projects where students from different disciplines collaborate while producing individual outputs. - What’s in it for the students? Answer that question for every discipline involved – e.g., why will a computer science student find that project rewarding and further their career goals. - Employability+Learning: The chance to learn how to work with subject domain expert as this is one of the key skillset that you can't learn when working by yourself. - Give them a more experential learning by working on a specific application like say automated vehicle... This is beneficial to the MSc mentor too. - Does MSc project refer to dissertation? - ... nb. Difference between two students working on one project or two students working on separate projects Barriers: Funding, HR restrictions, getting ideas/collaborators Opportunities for collaboration Pool of resources/central communication - Practicalities: Timing and communication. What application domain knowledge is essential for the students and how can they acquire it? Think of communication and common language. When will data actually be available? - Time management - Shared resource based/email communication or discussion channel - Look at existing examples to see what can be learnt from them - Soft skill, learning how to work with someone/something/data they are not an expert in. --- ### Teaching resources (for educators). In our resources channel we shared the following links: * [List of all research related content](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcontent%2F1469177%3Ftrk%3Dshare_ent_cc_url%26shareId%3Df2e%252FkBWPR9C2RIdmWbDebA%253D%253D) from the University of Leeds in LinkedIn Learning * [Leeds Doctoral College Collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D339071%3Ftrk%3Dshare_ent_collection_url%26shareId%3DNp%252FLDgONQjaSlnhQSqaYOw%253D%253D) - including development resources and information for each stage of the PhD * [Thesis submission and examination collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D432165%3Ftrk%3Dshare_ent_collection_url%26shareId%3DrtX7Y7jBQi%252Bxq0CsnmTpKQ%253D%253D) - key documents and policies. * [Building Impact into research](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fpaths%2Funiversity-of-leeds-building-impact-into-research%3Ftrk%3Dshare_ent_path_url%26shareId%3DM0eUahfARwSWBOnjA1WmCg%253D%253D) - A self-directed four module course on research impact * Resources on plagiarism in coding https://www.geog.leeds.ac.uk/courses/computing/info/plagiarism.html [Java Maven tool](https://maven.apache.org/) is good at checking documentation * [Kaggle examples](https://www.kaggle.com/learn) (loading, training, metrics etc) * [Advent of code](https://adventofcode.com/2022/about) - Can you suggest other resources? - GitHub education - good for opensource too and teaching version control to students - ... - Which kind of resources would you like to get access to? - ... - ... --- ### Workshop planning In the following we suggest possible workshop/ interactive learning for us. Please score them 1-5 (one is most relevant and 5 is the least relevant) and add any comment as you see fit. Add your own suggestion of training with comments. - GitHub and version control with Git - score: - Plotting and Programming with Python - score: - R for Reproducible Scientific Analysis - score: - Live coding skills and tips - score: - Add your own suggestions -... ## What would you like this group to discuss in the next meetings? - Write here your suggestions - ... --- --- ## Group 2 --- ### Interdisciplinary (alias *Cross-Disciplinary*) MSc Projects From previous discussion our vision is to organise group projects where students from different disciplines collaborate while producing individual outputs. - What’s in it for the students? Answer that question for every discipline involved – e.g., why will a computer science student find that project rewarding and further their career goals. - value in emploiability - learn interdisciplinarity skills, team work and collaborating skills - more engagement with learning process - Practicalities: Timing and communication. What application domain knowledge is essential for the students and how can they acquire it? Think of communication and common language. When will data actually be available? - timing is a challange - common language, common resources to make the collaboration quicker - the number of students - think of a trial - Maybe longer time (not just summer?) - students write a proposal to be checked by supervisors --- ### Teaching resources (for educators). In our resources channel we shared the following links: * [List of all research related content](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcontent%2F1469177%3Ftrk%3Dshare_ent_cc_url%26shareId%3Df2e%252FkBWPR9C2RIdmWbDebA%253D%253D) from the University of Leeds in LinkedIn Learning * [Leeds Doctoral College Collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D339071%3Ftrk%3Dshare_ent_collection_url%26shareId%3DNp%252FLDgONQjaSlnhQSqaYOw%253D%253D) - including development resources and information for each stage of the PhD * [Thesis submission and examination collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D432165%3Ftrk%3Dshare_ent_collection_url%26shareId%3DrtX7Y7jBQi%252Bxq0CsnmTpKQ%253D%253D) - key documents and policies. * [Building Impact into research](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fpaths%2Funiversity-of-leeds-building-impact-into-research%3Ftrk%3Dshare_ent_path_url%26shareId%3DM0eUahfARwSWBOnjA1WmCg%253D%253D) - A self-directed four module course on research impact * Resources on plagiarism in coding https://www.geog.leeds.ac.uk/courses/computing/info/plagiarism.html [Java Maven tool](https://maven.apache.org/) is good at checking documentation * [Kaggle examples](https://www.kaggle.com/learn) (loading, training, metrics etc) * [Advent of code](https://adventofcode.com/2022/about) - Can you suggest other resources? - How can we access Minerva easily to sharev learning resources - Talk to Jeff Gibill pro dc to education - Which kind of resources would you like to get access to? - Any other module learning Resources - How to detect the content of Linkedin available resources - Live coding resouces, tackle different cultures and neurodiversity - Suggestion: asii cinema https://asciinema.org/ --- ### Workshop planning In the following we suggest possible workshop/ interactive learning for us. Please score them 1-5 (one is most relevant and 5 is the least relevant) and add any comment as you see fit. Add your own suggestion of training with comments. - GitHub and version control with Git - score: - Plotting and Programming with Python - score: - R for Reproducible Scientific Analysis - score: - Live coding skills and tips - score: 1 - Add your own suggestions - fine tuning pre-trained transformers, deep learning models, google colab (ask Martin Callaghan) ## What would you like this group to discuss in the next meetings? - Write here your suggestions - ... --- --- ## Group 3 --- ### Interdisciplinary (alias *Cross-Disciplinary*) MSc Projects From previous discussion our vision is to organise group projects where students from different disciplines collaborate while producing individual outputs. - What’s in it for the students? Answer that question for every discipline involved – e.g., why will a computer science student find that project rewarding and further their career goals. - Authentic assessment - this is the way students will work in industry - Diversity of backgrounds, enrichment - Is there a link to new discovery modules approach at UG level that are being developed - Practicalities: Timing and communication. What application domain knowledge is essential for the students and how can they acquire it? Think of communication and common language. When will data actually be available? - Timings of different programmes, - Protection for each student is something goes wrong beyond their control (e.g. dataset doesn't appear, what would be the mitigations) - establishing a common language - authentic but risks not the same as working for an employer - USPs and the need to differentiate between different degree programmes --- ### Teaching resources (for educators). In our resources channel we shared the following links: * [List of all research related content](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcontent%2F1469177%3Ftrk%3Dshare_ent_cc_url%26shareId%3Df2e%252FkBWPR9C2RIdmWbDebA%253D%253D) from the University of Leeds in LinkedIn Learning * [Leeds Doctoral College Collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D339071%3Ftrk%3Dshare_ent_collection_url%26shareId%3DNp%252FLDgONQjaSlnhQSqaYOw%253D%253D) - including development resources and information for each stage of the PhD * [Thesis submission and examination collection](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fcollections%2Fenterprise%2F1~AAAAAANza4E%3D432165%3Ftrk%3Dshare_ent_collection_url%26shareId%3DrtX7Y7jBQi%252Bxq0CsnmTpKQ%253D%253D) - key documents and policies. * [Building Impact into research](https://www.linkedin.com/learning-login/share?account=57895809&forceAccount=true&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fpaths%2Funiversity-of-leeds-building-impact-into-research%3Ftrk%3Dshare_ent_path_url%26shareId%3DM0eUahfARwSWBOnjA1WmCg%253D%253D) - A self-directed four module course on research impact * Resources on plagiarism in coding https://www.geog.leeds.ac.uk/courses/computing/info/plagiarism.html [Java Maven tool](https://maven.apache.org/) is good at checking documentation * [Kaggle examples](https://www.kaggle.com/learn) (loading, training, metrics etc) * [Advent of code](https://adventofcode.com/2022/about) - Can you suggest other resources? - can we share minerva content via teams? - can we get a minerva sharing area? - can a group be added to minerva? We need to ask IT? - Which kind of resources would you like to get access to? - list of previously offered project titles, ideas? - case studies relating to sustainability initiatives at University - who is leading which modules? What are these modules? - Case studies / data analytics from other modules e.g. with industry links to real data - Pools of co-supervisors willing to supervise interdisciplinary projects --- ### Workshop planning In the following we suggest possible workshop/ interactive learning for us. Please score them 1-5 (one is most relevant and 5 is the least relevant) and add any comment as you see fit. Add your own suggestion of training with comments. - GitHub and version control with Git - score: 3 - Plotting and Programming with Python - score: 3,1,1,1 (top pick from this group) - can there be some more advanced options too. - R for Reproducible Scientific Analysis - score: 3 - Live coding skills and tips - score: 1 - Add your own suggestions -... ## What would you like this group to discuss in the next meetings? - Write here your suggestions - ## Reflections and Q&A If you have any questions or thoughts, please feel very free to contribute these below: - Questions/thoughts: - Links: - Chat: