"The Gentle Art of Data Science:" Increasing comfort with computation
Andrew Fischer, university of tasmania
This essay page from the 2018 MATLAB Workshop discusses the development of "The Gentle Art of Data Science" course at the University of Tasmania, emphasizing computational thinking—decomposition, pattern recognition, abstraction, and algorithms—using MATLAB LiveScript to build student confidence in data science across disciplines. 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.

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.

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.

Students are not unit tests: providing assessment that is fair across students with different types of skills
Benjamin Bratton, Vanderbilt University
An educational essay page from the 2018 MATLAB Workshop series discussing challenges in fairly assessing students' computational skills within interdisciplinary science courses, emphasizing non-boolean evaluation methods, partial credit strategies, collaborative problem-solving, and institutional constraints on in-class computational 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.

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.

MATLAB as a Tool for Teaching and Learning of High Performance Computing Applications
Sani Abba, Abubakar Tafawa Balewa University
This webpage is an academic essay from the Teaching Computation with MATLAB workshop series, detailing the use of MATLAB as an instructional tool for teaching high-performance computing applications in engineering and computer science education, emphasizing pedagogical strategies, student challenges, and real-world problem-solving. 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 of starting on the computer directly
Alexandre Martinez, University of California-Irvine
This essay page from the 2018 Teaching Computation with MATLAB workshop discusses the pedagogical challenge of students coding directly without prior planning, advocating for the use of pseudocode and modular functions to improve algorithmic thinking and code efficiency in civil 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.

Using MATLAB as an Exploration Tool in Numerical Analysis
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.