Bayesian Statistics – Shared Course Opportunity, Spring 2022

Jingchen (Monika) Hu, Assistant Professor of Statistics at Vassar College
Prof. Monika Hu, Vassar College

Shared LACOL Course: Bayesian Statistics
Instructor: Professor Jingchen (Monika) Hu, Vassar College
Syllabus & Enrollment Info: http://bit.ly/bayesian-stats
Topics and Objectives:

  1. Understanding of basic concepts in Bayesian statistics and ability to apply Bayesian inference approaches to solve scientific research problems and real-word problems.
  2. Ability and skills to use statistical programming software (R/RStudio and JAGS) to realize Bayesian analysis.
  3. Practice of reading, discussing, and critiquing statistics research journal papers.

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LACOL Digitally Shared Offerings

Sharing courses as a consortium enhances curricular opportunities and provides a forum for our faculty and students to explore digitally-enhanced, collaborative modes for teaching and learning in the liberal arts. Browse below for the latest classes available to students in the LACOL network.

Digital Humanities

Digital Humanities: social justice collections and liberal arts curricula (Summer 2021)
Team taught, fully online course

Data Science, Mathematics & Statistics

Applied Machine Learning (Summer 2023)
Team taught, fully online course

Introduction to Data Science (Summer 2022)
Team taught, fully online course

Bayesian Statistics and Data Confidentiality (Spring 2022)
Prof. Monika Hu, Vassar College

Operations Research (Spring 2020)
Prof. Steven J. Miller, Williams College

Languages & Literatures

Intermediate German Link (Fall 2020)
Prof. Sunka Simon, Swarthmore College; Prof. Matt Miller, Colgate University

Shared Conversation for Portuguese (Fall 2022 / Spring 2023)
Prof. Lioba Gerhardi, Vassar College; Jane Canova, Williams College 

Bryn Mawr’s Blended Learning in the Liberal Arts – CFP is Open!

cropped-blendlac_logo_resized-2CALL FOR PROPOSALS – submit by Feb 16!

Blended Learning in the Liberal Arts Conference at Bryn Mawr College, May 20-21, 2020.

Submissions are now open for the Blended Learning in the Liberal Arts Conference, to be held on May 20-21, 2020 at Bryn Mawr College. We are open to all topics related to blended learning in the liberal arts. Possible themes include:

  • Digital competencies, digital citizenship, and digital wellness
  • Experiential and service learning
  • Blended learning spaces, libraries and resource centers
  • Critical making
  • Emerging technologies
  • Task-based tech-mediated learning
  • Assistive technology and accessibility
  • Blended learning beyond the single course
  • Diversity, equity, and inclusion in blended experiences

Submit by Feb. 16, 2019 at brynmawr.edu/blendedlearning/conference. Contact Jennifer Spohrer at blendedlearning@brynmawr.edu with questions.

Follow @BlendLAC

 

Operations Research – Shared Course Opportunity, Spring 2020

Shared LACOL Course: Operations Research
Instructor: Professor Steven J. Miller, Williams College
Enrollment Info for Students: http://bit.ly/ops-research (Fall 2019, Spring 2020)
Syllabus & Course Website: https://web.williams.edu/Mathematics/sjmiller/public_html/317Fa19
Course Flyer: Operations Research PDF
Topics and Objectives:

  1. The real world is complicated, requiring mathematicians to approximate solutions and even the statement of real world problems!
  2. While the chess scenario pictured above might appear to be a make-work problem, the efficient solution illustrates one of the most powerful ideas in mathematics, and allows us to tell in many cases how close we are to the optimal solution (even if we cannot find the optimal solution.)
  3. In this class, you will learn powerful methods from classical algorithms to advanced linear algebra and their applications to the real world, specifically linear programming and random matrix theory.
Video - S. Miller, Williams College
Click to Watch Video – S. Miller, Williams College

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Data Science in the Liberal Arts Workshop (June 2019)

Event: Data Science in the Liberal Arts
Date & Location: June 6-7, 2019 at Washington and Lee University
Workshop Goals:

  • Agenda & Program (Background and Purpose)
  • Establishing a Think Tank on Data Science in the Liberal Arts
  • Taking hands on approaches to curating, developing, and sharing liberal arts pedagogies and teaching materials for data science that broadly engage and support our students across the disciplines.

Attendees: members and friends of the LACOL DS+ working group

Scroll down for workshop resources, slides, and video gallery

Keynote Talk:

Data Journalism as a Liberal Art
Prof. Amelia McNamara

Department of Computer & Information Sciences
University of St. Thomas

One of the main ways the general public encounters products of data analysis is through journalism. Data journalists strive to explain complex stories using visualization, statistics, and heavy use of contextualization. As we incorporate data science into the liberal arts, data journalism provides a case study as a field in which the sciences and the humanities are consciously linked. In this talk, I’ll discuss the history of data journalism, how I see it fitting into a liberal arts framework, and experiences from a class I taught on data journalism.

A. McNamara SLIDES

More Workshop Talks and Resources:

1. R. DeVeaux – Data Science for All? 

2. L. Heyer – Starting a Data Science Minor

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Introduction to Data Science (shared course)

In Summer 2019 …

Introduction to Data Science (co-taught course, shared digitally)

Syllabus and FAQ: See course gateway

Learning Objectives:

  1. Familiarity and expertise in basic coding (R/RStudio).
  2. Understanding of theory and application of basic concepts in statistics.
  3. Ability to write and present technical material to diverse audiences.

Course Sequence:

  • Intensive 8-week course with data lab component (fully digital)
  • Student centered learning design including pre-recorded lectures, real-time lectures, and laboratory/supported work time
  • Course co-taught by instructors from LACOL schools 
  • Delivery is fully online with some scheduled and some asynchronous events.

Course Team: see course gateway

Lightning Talk – Learn about this project in just 6.5 minutes!


Presented May 22, 2019 at the Bryn Mawr Blended Learning Conference

Course Topics Include: Read More

Sensemaker Team Data Review – April 4 at Amherst College

Event: Exploring Complexity through Student Micro-Narratives with Sensemaker
Host: Sensemaker Team Leads (Kristen Eshleman, Brent Maher, Annie Sadler, Paul Youngman)
Date: April 4
Time: 1:00pm-5:00pm (optional group lunch at 12:00pm; details tba)
Location: The Powerhouse, Amherst College
Attendees: Sensemaker Teams (Davidson, Hamilton, Haverford, Washington & Lee)
Sensemaker: http://lacol.net/category/collaborations/projects/inclusive-pedagogies
Project Website: http://emergentedu.org

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Measuring Complex Domains for the Liberal Arts

Session: Measuring Complex Domains for the Liberal Arts (Inclusive Pedagogies) with Sensemaker
Resources:
Project site: https://emergentedu.org
About Sensemaker: http://cognitive-edge.com/sensemaker/#sensemaker-about
Leads:
Kristen Eshleman, Director of Digital Innovation, Davidson College
Brent Maher, Director of Academic Assessment, Davidson College
Annie Sadler, Instructional Design Fellow, Davidson College
Paul Youngman, Prof. of German, Chair, Digital Humanities, Washington & Lee University

WATCH!  Intro video (15 min)

https://youtu.be/sLCjhu4M-N8

Innovations in assessment can directly address a key challenge for our institutions – demonstrating our value in a time of increasing skepticism about the liberal arts.

On April 27, Davidson College and Washington & Lee University hosted a LACOL workshop to explore an assessment tool and method called  Sensemaker that has the potential to manage and account for the complex domains of learning.  Pursuing a research design as a network of allied liberal arts institutions provides evidence at scale while building capacity for experimentation and innovation at each of our institutions.  Read More