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.

Challenges with teaching computation
Babasola Ogunsanya, Montgomery College
An academic essay page from the SERC Teaching Computation with MATLAB workshop series discussing evolving pedagogical challenges in computation education, particularly the shift from desktop software to Chromebooks in classrooms and the need for software developers to adapt tools for educational use. 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 in Mathematics Classes
Rick Downs, South Seattle College
This essay page from the 2019 MATLAB Workshop discusses integrating MATLAB into undergraduate mathematics courses to develop students' computational thinking, detailing specific assignments across calculus, differential equations, and linear algebra that use MATLAB for modeling, data analysis, and visualization in support of 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.

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.

ALTERNATIVE APPROACH TO TEACH GAS TURBINE BASED POWER CYCLES
Farshid Zabihian, California State University-Sacramento
This essay page presents an innovative pedagogical approach to teaching thermodynamics and gas turbine-based power cycles using simulation software, emphasizing conceptual understanding, system-level learning, and problem-based instruction to modernize engineering 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.

Teaching Computational Thinking Skills from the Student's Early Years Through College
Samuel Olatunbosun, Norfolk State University
An educational essay page from a 2019 MATLAB workshop discussing computational thinking (CT) skills, their definitions, importance in K–12 and higher education, core components like decomposition and pattern recognition, and pedagogical benefits such as problem-solving and logical reasoning, authored by Samuel Olatunbosun of Norfolk State University. 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.

(Programming Induced) Fear and Loathing in Lost Students
Matthew Leineweber, San Jose State University
This webpage is an essay from the Teaching Computation with MATLAB workshop series discussing student anxiety and fear in programming, particularly in engineering education, and explores assessment strategies to differentiate between syntactic proficiency and conceptual understanding of computational methods while addressing psychological barriers in learning 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.

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.

When will I ever use this?
Ivette Chuca, El Paso Community College
This essay page from the 2019 MATLAB Workshop explores how mathematics educators can address students' common question, "When will I ever use this?", by integrating real-world data, active learning, and modeling projects—such as tracking plant growth or designing roller coasters—into teaching practices to enhance STEM engagement and critical thinking. 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.