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 55 matches
Results 1 - 10 of 58 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 ...
Puzzle Coding
Sarah Patterson, Virginia Military Institute
Tactile activities or "tactivities" are one form of active learning that can increase student participation and enhance students' understanding of conceptual materials. In this tactile activity, ...
Investigating Real and Ideal gases
Kristi Closser, California State University-Fresno
This activity looks at the difference between real and ideal gas laws, emphasizing the connection of the physical properties to equations and graphs. Students first analyze the real gas equation, which should be ...
NAE Grand Challenges Project
Dan Burleson, University of Houston-University Park
The project requires a group of students to explore one of the National Academy of Engineering Grand Challenges using MATLAB as a tool. Students explore a grand challenge by researching data and performing ...
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 ...
Chemical Engineering Thermodynamics Project
Dan Burleson, University of Houston-University Park
This activity is a project designed to introduce undergraduate chemical engineering students to chemical engineering thermodynamics in the context of MATLAB. The project requires students to learn concepts they ...
Solving the 1D Schrodinger Equation
Morgan Hawker, California State University-Fresno
In this activity, students will explore 1-dimensional solutions to the time-independent Schrodinger equation. Students will utilize a provided MATLAB live script to determine exact energy values for two different ...
Virtual Pendulum Experiments & Mechanical Oscillations
Jeremy Riousset, Florida Institute of Technology-Melbourne
The pendulum motion is one of the first encounters with the concept of a harmonic oscillator. This activity seeks to complement a traditional, rigorous, theoretical approach with a rigorous numerical model. It ...
Solving a Simple Drug Delivery Model Using Analytical, Linear Algebra, and Numeric Approaches
Matthew Leineweber, San Jose State University
The delivery of orally ingested drugs, such as pills and capsules, can be roughly modeled as a system of first-order ordinary differential equations (ODEs). This type of "drug-delivery model" can be ...
Using Regression Models to make Predictions
Michelle Isenhour, Naval Postgraduate School
This activity introduces students to prediction and confidence intervals for a simple linear regression model using a MATLAB Live Script. To draw a connection to confidence intervals for an unknown population mean, ...