Workshops
Technical Workshops
Upcoming Workshops
Past Workshops
Title: An introduction to recommender systems
When: Monday, March 25, 2024 - 4:00 p.m.-5:30 p.m.
Location: Tate 201-20
Workshop Facilitator: Xuan Bi, PhD, Carlson School of Management
Description: In recent years, there has been a
growing demand to develop efficient
recommender systems which track users’
preferences and recommend potential items of
interest to users. In this workshop, we will
navigate through the basic elements of
recommender systems, its principles, possible
applications, recent development, and ongoing
challenges. Furthermore, we will have some
hands-on experience to build our own
recommender systems, make recommendations,
and evaluate their performance on real-world
datasets.
Title: DeepClean - a Convolutional Neural Network architecture
When: Monday, April 3, 2023 - 2:30 p.m.-4:30 p.m.
Presenter: Muhammed Saleem Cholayil
Description: In this workshop, we will introduce
DeepClean - a Convolutional Neural Network
architecture that is designed for removing
environmental and instrumental noise couplings
from Gravitational Wave data. To understand the
nature of the noise couplings, DeepClean uses
the data from additional sensors that track the
motion of the environmental and instrumental
sources that are responsible for the noise
contamination. The workshop will start with a
presentation that will give a brief introduction to
noise regression problems using ML and cover
the details of the DeepClean architecture as well
as how to train it for the best possible results. In
the hands-on session, we will take a short
segment of LIGO raw data and aim to subtract
some specific noise couplings using DeepClean.
Title: Introduction to Data Mining and Deep
Learning using Zooniverse Citizen-Science Data
When: Friday, December 2, 2022 - 2:00
p.m.-4:00 p.m.
Workshop Facilitators: Ramana Kumar Sankar,
Kameswara Bharadwaj Mantha
Description: Every scientific domain has seen
an explosion in the volume of data, necessitating
the development of robust pipelines for data
reduction, and the application of automated
machine/deep learning frameworks. Mining these
datasets, performing quantitative analysis, and
designing machine learning frameworks to
synthesize useful data products are critical skills
for aspiring data scientists in the era of big data
analytics. In this workshop, we introduce tabular
and image-based data products from the
Zooniverse citizen-science platform and explore
ways of reducing these data. We will also
introduce the concepts of deep learning and will
walk you through an implementation and training
of a Convolutional Neural Network-based
classifier on the data mined from an example
Zooniverse dataset. Through this workshop, you
will learn the basics of data acquisition and
analysis in Python, along with data processing
techniques for developing machine models using
the PyTorch deep learning framework.
Shiny Apps on R
Monday, February 28, 2022 - 3:30 p.m.-5:30 p.m.
November 15-19, 2021 (Virtual)
September 29-30, 2021 (Online)
August 16-20, 2021 (Virtual)
Tuesday, January 26, 2021 - 4:00 p.m. - 6:00 p.m.
November 19-20, 2020
Tuesday, November 10, 2020 - 10:00 a.m.
Professional Workshops
Upcoming Workshops
Past Workshops
Title: Transformative Science Presentations: How to Connect with and Change Your Audience
When: Tuesday, February 27, 2024, 4:00 p.m.-6:00 p.m.
Location: Tate 201-20 Seminar Room
Workshop Facilitator: Brian Sostek, Teaching Specialist, UMN
Description: Whether speaking to a conference room of 500, giving a chalk talk to a hiring committee, explaining your research in front of a poster, or participating in a three-minute thesis competition, presenting should ideally feel like leading a friend you like along a path you know well to a destination that you want to share with them. In this introduction to the fundamental elements of science communication, we’ll focus on understanding audience experience (AX), and designing presentations that are enticing, engaging, enjoyable, and effective for the people who you want to reach.
Title: Ditch the To-Do List: Practical Strategies to Improving Time Management
When: Monday, January 22, 2024, 4:00 p.m.-5:00 p.m.
Location: Keller Hall 3-180
Workshop Facilitator: Kelly Nolan, an attorney-turned-time management strategist
Description: Struggling to find time for classes, your capstone research project, interviews, clubs, coffee chats, a social life, and make time for yourself? You're not the only one. Join us for a workshop to learn actionable time management strategies to help you manage it all with less stress and more breathing space. This workshop will be led by Kelly Nolan, an attorney-turned-time management strategist. After experiencing overwhelm as a young patent litigator in Boston, Kelly figured out a time management system to help her show up in the ways that she wanted to at work and at home – without requiring her brain to somehow magically remember it all. She now empowers others to manage their personal, family, and career roles with less stress and more calm clarity using realistic time management strategies. Her system, the Bright Method, has been featured in Bloomberg Businessweek, and her work has been published in Forbes, Fast Company, and Parents. Learn more at kellynolan.com. Join us, and walk away with a new level of clarity and empowerment about how to manage everything on your plate.
Resume and Interviewing Workshop with Marie Manner (3M)
November 13, 2023, 4:30 p.m.-5:30 p.m.
Data Science Interview Workshop with Marie Manner (3M)
March 1, 2023, 6:00 p.m.-700 p.m.
Maximizing your Impact in a Distracted World with Kristi Kremers
February 20, 2023 - 2:30 p.m.-4:30 p.m.
Imposter Syndrome
November 15, 2022 - 4:00 p.m.-5:30 p.m.
Insights on Navigating the Job Market from Academia with Rich Ormiston
October 11, 2022 - 4:00 p.m.-5:30 p.m.
Designing a Meaningful Career
April 11, 2022 - 3:00 p.m.-5:00 p.m.
Success Signals Workshop on Communication Styles
March 14, 2022 - 3:30 p.m.-5:30 p.m.
Success Signals Workshop on Communication Styles
November 6, 2021, 10:00 a.m.-1:00 p.m.
March 16, 2021, 4:00 p.m.-5:30 p.m.
September 28,2021 - 2:00-3:30 p.m.
Presented by: Dr. Kumi Smith (Epidemiology and Community Health)
