Teaching Quantum Mechanics with MATLAB
Paul Kassebaum, MathWorks
This educational essay page from the Teaching Computation with MATLAB workshop presents strategies and resources for teaching quantum mechanics using MATLAB, featuring downloadable instructional materials including a live script and PDF, with contributions from MathWorks staff, emphasizing computational physics education and pedagogical techniques in undergraduate STEM instruction. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Baby-Steps Bring More Computation (or at least "math") into Biology and more Biology into Math
Anne Walter, Saint Olaf College
An essay page from the Teaching Computation with MATLAB workshop series detailing interdisciplinary efforts to integrate computation and quantitative literacy into biology education, emphasizing incremental curricular changes, cross-departmental collaboration, bioinformatics, and the challenges of programming language selection in undergraduate STEM education. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

The importance of programming skills in achieving biomedical solutions in the modern world
Manuel Hernandez, University of Illinois at Urbana-Champaign
This webpage is an academic essay from the Teaching Computation with MATLAB workshop series, discussing the critical role of programming and computational skills in advancing biomedical engineering and healthcare solutions, emphasizing interdisciplinary problem-solving, educational strategies like service-learning and capstone projects, and the integration of technical training within broader societal contexts to prepare globally competent health science professionals. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

"Into Matlab" - A series of video lectures accompanying "From Zero to Matlab in ..."
Frederik J Simons, Princeton University
An educational essay page from the "Teaching Computation with MATLAB" workshop series details a video lecture series titled "Into Matlab," created by Princeton geoscientist Frederik J. Simons, which evolved from his short-format teaching concept into extended tutorials based on his courses "From Zero to MATLAB in Six Weeks" and "Four Days," using a zebra-themed narrative for image analysis instruction aimed at STEM students. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using and Learning Matlab in Geomorphology of Rivers: Experiences with Advanced Students and Research
Andrew Darling, Colorado State University
Essay page from a 2016 MATLAB workshop discussing the integration of MATLAB in geomorphology research and education, emphasizing computational modeling of river systems, teaching challenges with advanced students, and the bidirectional benefits of coding and geoscience learning. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Computation for the speech and hearing sciences
Alan Kan, University of Wisconsin-Madison
This page is an academic essay discussing the integration of computational skills, particularly signal processing and programming, into undergraduate education in speech and hearing sciences, emphasizing its importance for research and clinical practice, identifying implementation barriers, and advocating for curriculum development to prepare future professionals. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using computation to understand statistics through climatology
Janel Hanrahan, Lyndon State College
An academic essay page from the Teaching Computation with MATLAB workshop series details an instructional approach integrating MATLAB-based computational exercises in climatology to teach statistical concepts, emphasizing hands-on analysis of 3D climate data for understanding temporal and spatial variability, anomalies, and standardization through real-world datasets and visualizations. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Integration enhances learning across the curriculum
William Cluett, University of Toronto
An academic essay page from the Teaching Computation with MATLAB workshop series discussing curriculum integration in engineering education, detailing how ESC103F at the University of Toronto connects mathematical computation with core first-year courses like physics, civil engineering, and computer science through MATLAB-based problem solving, with student feedback and downloadable resources. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Integrating Computation into Undergraduate STEM Courses
Kelly Roos, Bradley University
An educational essay page detailing efforts to integrate computation into undergraduate STEM curricula, emphasizing physics education, computational thinking, and the work of the Partnership for Integration of Computation into Undergraduate Physics (PICUP), including barriers to adoption and strategies for community-driven reform. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Garbage Out? Verification of Reliable Computations
Wendy Thomas, University of Washington-Seattle Campus
This educational essay page from a MATLAB workshop addresses computational verification in scientific modeling, emphasizing techniques to ensure reliable results by distinguishing between model validation and numerical solution verification, offering strategies like dimensional analysis, sign checks, and cross-algorithm comparisons for teaching robust computational practices in STEM education. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.