Computation in Civil Engineering
Julie Fogarty, California State University-Sacramento
An academic essay page from a 2018 MATLAB workshop discusses integrating computational methods into civil engineering education, detailing how students use MATLAB to implement structural analysis techniques like the direct stiffness and finite element methods, bridging theoretical knowledge with practical software skills while addressing challenges in modeling and result interpretation. 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.

Building quantitative skills in Marine Science using MATLAB
Diane Fribance, Coastal Carolina University
Essay page from a teaching workshop that discusses integrating MATLAB into marine science education to build undergraduate quantitative skills, overcome math anxiety, and foster computational thinking through data analysis, field projects, and iterative learning in a liberal arts context. 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
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.

Using MATLAB to Enrich Elementary Linear Algebra Course
Sandra Fital-Akelbek, Weber State University
This essay page from the 2018 MATLAB Workshop explores integrating MATLAB into elementary linear algebra instruction to enhance computational understanding, support discovery-based learning of matrix properties, verify solutions (e.g., eigenvalues, diagonalization), and visualize concepts, while addressing implementation challenges like student onboarding and resource access. 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 and Assessment
Michael Groves, California State University-Fullerton
This essay page from the 2018 MATLAB Workshop discusses integrating computational methods into chemistry education, focusing on challenges in teaching and assessing computational skills in quantum mechanics and thermodynamics, strategies for classroom implementation, and addressing academic integrity, authored by Michael Groves of California State University-Fullerton. 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.

Incorporating MATLAB in Applied Mathematics Courses
Dong Zhou, California State University-Los Angeles
This is an essay page from the Teaching Computation with MATLAB workshop series, detailing an instructor's experience integrating MATLAB into an upper-division applied mathematics course, including pedagogical strategies, student preparation challenges, assignment design combining theory and programming, and reflections on teaching computational mathematics. 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 Physics to upper level undergraduates
Ali Tabei, University of Northern Iowa
This webpage is an academic essay detailing a computational physics course for upper-division undergraduates, focusing on MATLAB-based instruction, project-based learning, pedagogical strategies like cooperative learning and peer review, curriculum design, assessment methods, and integration of real-world research problems in physics 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 programming bump in the night, what are we afraid of?
Jeremy Deans, University of Southern Mississippi
An educational essay page from the SERC Pedagogic Service discussing strategies for overcoming student anxiety around programming and mathematics in geoscience education, emphasizing the importance of integrating computational tools like MATLAB to build student confidence and competence through practical application, supportive teaching methods, and iterative practice across the curriculum. 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.

Developmentally Appropriate Numerical Analysis for Engineers?
Eugene Mahmoud, Mt San Antonio College
This essay page from the 2018 MATLAB Workshop explores developmentally appropriate numerical analysis education for lower-division engineering students, emphasizing project-based, interdisciplinary MATLAB instruction that accommodates diverse academic backgrounds and fosters computational thinking through real-world modeling, collaborative problem-solving, and scaffolded assessment. 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.

Scientific Computation and Preparedness for Undergraduate Research
Jeremy Loebach, St Olaf College
This is an essay page from the Teaching Computation with MATLAB workshop series hosted by SERC, detailing Jeremy Loebach’s experience integrating scientific computation—particularly MATLAB—into undergraduate research preparation in psychology, emphasizing incremental, context-based learning strategies, student preparedness challenges, and equity in research opportunities. 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.