Essays
A collection of essays submitted by participants in the Teaching Computation Using MATLAB workshops.
« Back to Teaching Computation in the Sciences Submit an essay
Results 1 - 10 of 108 matches
Assessing Engineering Computation in a Flipped Course part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
Stormy Attaway, Boston University
An essay page from the Teaching Computation with MATLAB workshop series presenting Stormy Attaway’s evidence-based flipped classroom approach to teaching engineering computation, detailing active learning strategies, weekly assessment structures, concept-focused pedagogy, and outcomes in student engagement and performance. 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.
Importance of MATLAB in engineering part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
Miguel Goni Rodrigo, University of South Florida
This essay page from the Teaching Computation with MATLAB workshop series discusses the growing importance of MATLAB in engineering education, emphasizing its role in numerical simulations, computational skill development, finite element analysis, data processing, and problem-solving across engineering disciplines, while sharing pedagogical strategies for teaching MATLAB effectively. 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.
Teaching Basic Problem Decomposition and Algorithm Design Skills part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
Mandoye Ndoye, Tuskegee University
This essay page from the 2019 MATLAB Workshop discusses integrating computational thinking—particularly problem decomposition and algorithm design—into early engineering education using MATLAB and Python, emphasizing skill development through structured programming assignments and curriculum design. 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.
Project Based Learning with MATLAB in Engineering Modeling and Design Course part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
Muhammad Khan, Arkansas Tech University
This essay page details the implementation of project-based learning (PBL) using MATLAB and Simulink in an upper-level engineering modeling and design course, emphasizing hands-on computational skill development, self-efficacy assessment through pre- and post-course surveys, and integration of modeling, simulation, optimization, and CAD across multidisciplinary engineering systems. 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 MATLAB as an Exploration Tool in Numerical Analysis part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2018:Essays
Joan Weiss, Fairfield University
This essay page from the 2018 MATLAB Workshop explores integrating MATLAB as an investigative and pedagogical tool in numerical analysis education, emphasizing its role in helping students analyze algorithm performance, visualize mathematical concepts, and develop computational thinking through exploratory scripting rather than manual coding of algorithms. 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.
Specifications-Based Grading for Assessing Student Learning part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2018:Essays
Kristi Closser, California State University-Fresno
This webpage is an academic essay from the 2018 MATLAB Workshop hosted by SERC, detailing a faculty member's implementation of specifications-based (mastery) grading in chemistry courses, emphasizing its benefits for student learning, reduced anxiety, improved office hour engagement, and applicability to computation-focused classes through structured reassessment, EMRN rubrics, and incentive-based retake systems. 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.
Learning effective ways to include computations in teaching part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2017:Essays
Nimish Pujara, University of Wisconsin-Madison
An essay page from the Teaching Computation with MATLAB workshop series discussing effective strategies for integrating computational methods, particularly MATLAB, into engineering education, emphasizing hands-on examples, student challenges, and pedagogical approaches like data analysis, modeling, and building self-efficacy. 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.
Teaching Quantum Mechanics with MATLAB part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2016:Essays
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.
Garbage Out? Verification of Reliable Computations part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2016:Essays
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.
Computational modeling in geochemistry and petrology (and the geosciences more broadly) part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
Kendra Lynn, University of Delaware
This essay page from the Teaching Computation with MATLAB workshop series discusses integrating computational modeling into geochemistry and petrology education, emphasizing the importance of teaching programming skills like MATLAB and Python to bridge gaps in geoscience training, with a focus on diffusion chronometry, 3D modeling, and preparing students for research and industry demands. 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.