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Profile for Douglas Baumann

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Douglas Baumann

Pronouns: He/Him/His
Professor
Mathematics & Statistics University of Wisconsin-La Crosse

Douglas Baumann's office hours

Monday
11:30 a.m. to 12:30 p.m.
or by appointment
Tuesday
By appointment only
Wednesday
11:30 a.m. to 12:30 p.m.
or by appointment
Thursday
By appointment only
Friday
11:30 a.m. to 12:30 p.m.
or by appointment

Remote office hours offered: By appointment
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Douglas Baumann Pronouns: He/Him/His

Professor

Mathematics & Statistics

Specialty area(s)

Statistics Education

Data Visualization

Statistical Genomics and Epigenomics

Statistical Computing

Data Science

Categorical Data Analysis

Multivariate Statistics

Current courses at UWL

STAT 305: Statistical Methods

STAT 443: Categorical Data Analysis

 

Education

(2012) Ph.D., Statistics, Purdue University

(2009) M.S., Mathematical Statistics, Purdue University

(2006) B.A., Mathematics (Statistics Concentration), St. Olaf College

Career

Teaching history

STAT 145: Elementary Statistics

STAT 245: Probability and Statistics

MTH 299: Mathematics and Statistics Tutor Practicum

STAT 345: Statistical Computing

STAT 305/405: Statistical Methods

STAT 440: Statistical Consulting

STAT 443: Categorical Data Analysis

STAT 449: Multivariate Data Analysis

DS 705: Statistical Methods

Kudos

published

Connor Haindfield, Chemistry Education; William Cerbin, Psychology; Heather Schenck, Chemistry & Biochemistry; and Douglas Baumann, Mathematics & Statistics; co-authored the article "Flipping the script in organic reaction mechanism instruction: Using generative pedagogies instead of lecture to improve learning outcomes" in Chemistry Education Research and Practice published on Aug. 8 by the Royal Society of Chemistry. The article describes two new instructional designs that improve student mastery of reaction mechanisms in first semester organic chemistry coursework. When used in combination, the new designs supported greater student abilities to propose mechanisms for unfamiliar reactions. The combined methods were also found to deliver improved grade outcomes for first generation college students in particular.

Submitted on: Aug. 12, 2024

published

Barbara Bennie, Gunderson Health System; Roger Haro, Northern Arizona University; Eric Eager, Sumer Sports; Aaron Cupp, Jay Diffendorfer, Richard Erickson, Kathi Jo Jankowski, Danelle Larson and Molly Van Appledorn, all USGS; Gregory Sandland, Biology; and Douglas Baumann, Wako Bungula and James Peirce, all Mathematics & Statistics; co-authored the article "Bridging the gap between mathematical biology and undergraduate education using applicable natural resource modeling" in Letters in Biomathematics and was accepted for publication by IBA.

Submitted on: Nov. 19, 2023

awarded

Doug Baumann and James Peirce, both Mathematics & Statistics, received the award for National Science Foundation Research Experiences for Undergraduates (REU) in Ecological Modeling of the Mississippi River Basin at NSF REU on Mar. 20, 2019 in La Crosse, WI. Mathematics, Statistics, & Biology faculty and research scientists at the US Geological Survey will work with 8 students a year on projects in mathematical modeling, data analysis, and ecology.

Submitted on: Mar. 21, 2019