Exemplary Reviewed Activity Collection
Based on input from participants at the 2017 Teaching Computation in the Sciences Using MATLAB workshop, the Teaching Computation community has begun conducting a peer review of MATLAB® based teaching activities submitted via the Teaching Computation in the Sciences workshops and website, as well as those in the existing SERC collections. Members of the Teaching Computation in the Sciences community review activities using a rubric and set of criteria to calibrate reviewer scoring. There are five elements of each activity that get reviewed: computational, quantitative, and scientific accuracy, alignment of goals, activity, and assessment, pedagogic effectiveness, activity robustness, and completeness of the web page for the activity. The activities that score very highly in these areas become part of the Teaching Computation in the Sciences Using MATLAB Exemplary Collection and are featured below.
Subject
Resource Type: Activities
Location
- Integrate 1 match
- MARGINS Data in the Classroom 1 match
- Quantitative Skills 1 match
- Teaching Computation with MATLAB 66 matches
Results 1 - 10 of 69 matches
Data Analysis Activity Using MATLAB
Michael Ray, California State University-Sacramento
In this activity students will develop a model of air resistance, then perform an experiment using coffee filters, rulers and a stopwatch to test it. They will collect the data, then analyze it and produce a high ...
Learn more about this review process.
Bottle Design via MATLAB with Volume and Surface Area
Bree Ettinger, Emory University
In this activity, students design a bottle silhouette using parametric splines in MATLAB and compute its volume and surface area using numerical integration. The project connects numerical methods and computation ...
Learn more about this review process.
ERP Peak Detective: Introduction to Event-Related Potential Analysis with MATLAB
Brian Rivera, Saint Olaf College
This scaffolded laboratory activity introduces students with minimal programming experience to Event-Related Potential (ERP) analysis using MATLAB. Students progress from interactive visual exploration of neural ...
Learn more about this review process.
Data Representation in MATLAB: From Raw Data to Insight
Ray Senior, University of Technology, Jamaica
This activity is a hands-on computational lab where students import, validate, inspect, and visualize three heterogeneous data types (spreadsheets, audio, images) to discover MATLAB's unified array-based data ...
Learn more about this review process.
Illustrating Theorems from Calculus
Michaela Kubacki, Middlebury College
In this activity, students use MATLAB to create and interact with illustrations of three theorems from Calculus: (1) Extreme Value Theorem, (2) Intermediate Value Theorem, and (3) Mean Value Theorem. The assignment ...
Learn more about this review process.
Glacier Flow Model and Introduction to Monte Carlo Methods
Dan Morgan, Vanderbilt University
The goal of this assignment is for students to recognize that adding some randomization and "noise" to a model yields different results each time we run the model, and we can pull some useful statistics ...
Learn more about this review process.
Scaling sizes of sports field
Benjamin Bratton, Vanderbilt University
This is a MATLAB live script that guides students to learn about the kinematics of thrown balls in various sports. It helps the students learn about simple numerical methods to solve differential equations, as well ...
Learn more about this review process.
Introduction to MATLAB for Oceanographic Data
Anna Pfeiffer-Herbert, Stockton University
This activity introduces students to loading and plotting data in MATLAB. Students explore scalar and vector time series and profile data commonly used in the field of Oceanography using data sets from publicly ...
Learn more about this review process.
Learn more about this review process.
Physical Activity and Heart Rates
Jennifer Jordan, Virginia Commonwealth University
This problem is an assessment of several computational methods being pulled together to solve a complex problem for biomedical engineering students. Students need to use mock clinical data to compute whether study ...
Learn more about this review process.
Introduction to hydrologic model calibration
Matin Rahnamay Naeini, University of California-Irvine
In this exercise, we introduce the concept of model calibration for rainfall-runoff models. We specifically employ a synthetic precipitation data as input to the hydrologic model to generate synthetic runoff. The ...
Learn more about this review process.