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.

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.

Foundational computation for first-year physics undergraduates
Duncan Carlsmith, University of Wisconsin-Madison
This essay page details a physics-forward approach to integrating MATLAB-based computational instruction in first-year undergraduate physics courses, emphasizing Live Scripts, data analysis from real-world scientific sources, lab integration, and student outcomes like increased self-efficacy and research engagement, presented within a workshop context on teaching computation with MATLAB. 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, State University of New York 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.

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.

Learn to Teach Computational Thinking Skills
Charles Lee, California State University-Fullerton
An essay page from the Teaching Computation with MATLAB workshop series discussing pedagogical strategies for teaching computational thinking skills in STEM education, featuring insights from educator Charles Lee on integrating MATLAB-based computational exercises, challenges in student learning transfer, and the importance of diverse teaching techniques to enhance problem-solving abilities in mathematics courses. 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.

Assessing Computational Thinking in Engineering Design with a Workshop Environment
Michael Thorburn, California State University-Los Angeles
This webpage is an academic essay from the 2019 MATLAB Workshop hosted by SERC, detailing a self-paced workshop model for assessing computational thinking in engineering design, emphasizing simulation training using MATLAB, team-based learning, and a three-part assessment strategy involving self-evaluation, sample simulations, and oral Q&A to prepare senior engineering students for professional practice. 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.

Willing to Learn, Grow, and Adapt
Oscar Macedo, El Paso Community College
Personal essay by Oscar Macedo, a mathematics educator at El Paso Community College, reflecting on his motivation to integrate MATLAB into his curriculum to better prepare engineering-bound students, enhance problem-solving skills, and address gaps in computational readiness observed during his own academic journey and among current 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.

MATLAB' "easy programming" for discipline "Information Processes and Coding"
Yevgeny Gayev, National aviation university
This essay page from the 2019 Teaching Computation with MATLAB workshop details an educational approach using MATLAB to enable student-driven discovery in the "Information Processes and Coding" course, emphasizing active learning through programming tasks like Morse coding, entropy measurement, and error-correcting code simulations. 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.