Events

ML+X Forum: Applied Machine Learning

ML+X (Machine Learning Community) Event

December 12th, 12:00pm–1:00pm

Orchard View Room, Discovery Building

Supporting Academic Parents: Recommended Policies and Practices

Graduate Student Office of Professional Development

Personal and Interpersonal Effectiveness

December 12th, 1:00pm–2:00pm

Online

From the National Center for Faculty Diversity, this online webinar takes a two-pronged approach to assist both (1) individual faculty members who are parents and (2) academic institutions in better supporting academic parents. This webinar will also provide evidence-based recommendations to help individual parents successfully navigate their academic careers and the tenure process, while also presenting information that institutions and administrators can utilize to catalyze broader institution

ML+Coffee

ML+X (Machine Learning Community) Event

December 13th, 9:00am–11:00am

Discovery Building

What We Learned About Job Searching in 2023

Graduate Student Office of Professional Development

Career development

December 13th, 11:00am

Online

From Beyond the Professoriate: This virtual workshop is designed for doctoral students, PhDs, and postdocs from all academic disciplines who are wondering: What were the big job market trends affecting PhD hiring in 2023? What sectors of the economy are growing and which are shrinking? Given the year that’s been, what modifications do I need to make in my job search? What factors will affect PhD job searching in 2024?

Is Your Resume Not Getting You Interviews? Here’s Why. (Second Date!)

Graduate Student Office of Professional Development

Career development

December 13th, 3:00pm

Online

Are you sending out resume after resume, but not getting interviews? You're not alone. 48% of grads falsely believe sending out resumes is an effective job search strategy. From Beyond Grad School, this virtual workshop will demystify resumes and highlight the power of professional networking.

Getting Started with Universal Design for Learning (two-part workshop)

We know the one-size-fits-all approach to learning design is not optimal. But how do we incorporate flexibility into teaching and learning while still maintaining rigorous learning?

December 14th, 12:00pm–1:30pm

Online

Learn the three principles that underpin Universal Design for Learning (UDL), an evidence-based pedagogical framework that fosters motivated, resourceful, and strategic learners. Apply these principles to a teaching artifact of your choice, be it a syllabus, assignment, and/or teaching practice. You will come away with an expanded understanding of learner variability, how it can be leveraged as an asset in the classroom, and how to make learning more accessible for your students.

The Basics of Data Visualization Mini-Workshop

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation Managing projects and people

December 20th, 9:30am–12:00pm

This workshop introduces data visualization by focusing on the basic components of a chart and on the decisions you need to make in order to create and refine a chart. You will learn to craft messages about data and communicate those messages in charts. The principles applied to charts in this workshop can be applied to more complex data visualizations, but these are beyond the scope of this workshop.

Enhancing Online Education: Cultivating Inclusivity webinar

Center for Teaching, Learning & Mentoring

January 3rd, 9:00am–10:30am

Online

Enhancing Online Education: Cultivating Inclusivity micro-course

Center for Teaching, Learning & Mentoring

January 8th, 8:00am

Online

Data Carpentry Ecology Workshop

Fundamental Data Skills Workshop

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation Managing projects and people

January 8th, 9:00am–12:30pm

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.