Teaching Basic Problem Decomposition and Algorithm Design Skills
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.

Importance of MATLAB in engineering
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.

Using MATLAB as an Exploration Tool in Numerical Analysis and for Computational Thinking in the Sciences
Joan Weiss, Fairfield University
An essay page from the Teaching Computation with MATLAB workshop series discussing the integration of MATLAB for fostering computational thinking and numerical analysis skills in STEM education, emphasizing exploration-based learning and curriculum development for science 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.

Project Based Learning with MATLAB in Engineering Modeling and Design Course
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.

MATLAB is an Effective Tools for Solving Electric Circuit Problems
Zekeriya Aliyazicioglu, California State Polytechnic University-Pomona
This essay page from the 2019 Teaching Computation with MATLAB workshop presents a faculty contributor's experience using MATLAB in flipped classroom instruction for electric circuit courses, emphasizing computational problem-solving, visualization, simulation, and student engagement through hands-on learning and automated solution validation. 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 a Computational Course to Students with Diverse Science Backgrounds
Gordana Garapic, SUNY College at New Paltz
An essay page from the Teaching Computation with MATLAB workshop series discussing strategies for teaching computational methods to students with diverse science backgrounds, using MATLAB-based geophysical problem-solving and numerical simulations to enhance understanding of Earth system processes despite challenges in curriculum support and student preparedness. 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.

Vectorized thinking! Teaching efficient programming in MATLAB
Matin Rahnamay Naeini, University of California-Irvine
An educational essay page from the 2019 MATLAB Workshop series discussing the importance of teaching vectorized programming in MATLAB to improve coding efficiency and performance, emphasizing a paradigm shift from traditional loop-based approaches to vectorization for STEM students in the context of big data and machine 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.

Meaningful Engagement and Assessment of Technology: Balancing Scaffolding and Discovery
Catherine Buell, Fitchburg State University
An educational essay page discussing challenges in integrating computational tools like MATLAB into mathematics education, emphasizing strategies to balance instructional scaffolding with student discovery, assess technological proficiency, and differentiate between mathematical and computational learning barriers. 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.

Finding the Right Tool for the Job
Michael Ray, California State University-Sacramento
This webpage is an essay from the 2019 MATLAB Workshop hosted by SERC, discussing the selection of data analysis tools for teaching undergraduate physics laboratory courses, with a focus on transitioning from gnuplot to MATLAB due to cost, usability, and institutional licensing advantages. 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)
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.