WPI's Learning Object Repository
Add Your Learning Objects
If you are a WPI faculty member and would like to have your learning objects included in this repository for use by the WPI community, please contact us at atc-ttc@wpi.edu.
Learning objects are small digital chunks of learning content that are self-contained and reusable. They are often used in education to supplement course materials and to demonstrate concepts that are difficult for students to grasp with traditional teaching methods.
The learning objects in this collection were developed by WPI faculty members and are available for public use. Many were developed as part of the Teaching Technology Fellowship, a joint venture sponsored by the Division of Academic Affairs and Information Technology here at WPI.
If you require assistance with using a learning object, please contact us at atc-ttc@wpi.edu.
We hope that you find these learning objects useful in your teaching and learning endeavors.
Biomedical Engineering
Series 1: This series of tutorials, developed in 2005 by professors Kristen Billiar and Allen Hoffman, detail the use of TestWorks 2.03 and X machine. The first two clips demonstrate the proper technique for running a uniaxial tensile test. Subsequent clips demonstrate the necessary steps to use the testing software, TestWorks 2.03.
Mantling the Grips
Running a Uniaxial Tensile Test
TestWorks 2.03: Using the Handset, Extension Meter, and Load Meter
Logging into TestWorks 2.03
Plotting Specimen Data in Excel
Running a Cyclic Test using TestWorks 2.03
Running a Tensile Test using TestWorks 2.03
Saving Test Data in TestWorks 2.03
Exporting Test Data from TestWorks 2.03
Transferring Data to Excel from a Text File
Series 2: This series of tutorials, developed in 2004 by professor Ross Shonat and WPI student Ryan Carey, detail the use of Biopac and several other software applications relevant to biomedical engineering.
Physiology/Data Acquisition Equipment Overview
Acquiring Data with Biopac
Conducting an EEG Lab with Biopac
Conducting an ECG Lab with Biopac
Lab 1: Animal Care and Anesthesia
Lab 2: Muscle and Nerve Physiology
Lab 3: Electrophysiology
Lab 4: Circulatory Physiology
Lab 5: Respiratory Physiology
Lab 6: Acid-Base Physiology
Statistical Analysis Using Excel
Data Analysis with AcqKnowledge
Civil & Environmental Engineering
Series 1: The following two simulations were developed in 2005 by professor Jeanine Plummer. The first simulation is a virtual tour of a wastewater treatment plant. The second simulation is an interactive simulation that provides students with the opportunity to input several variables into an interface to test air pollution.
Wastewater Treatment Plant Tour
Air Pollution Simulation
Series 2: This series of video clips, developed in 2003 by professor Guillermo Salazar, details a series of functions in Primavera’s project management software.
Creating a File
Entering Activities
Creating Network Logic
Running the Schedule
Exporting to a Spreadsheet
Inserting a Graphic Object into a PowerPoint File
Creating an Image File of a Project Schedule
Creating an Image File of a Project Schedule – Option 2
Creating an HTML Version of the Project Schedule
Fire Protection Engineering
This video, created by professor Robert Zalosh at an FM Global test site, shows a warehouse fire and a selection of data that were superimposed on top of the footage, including heat transfer rate, temperature, number of sprinklers actuating, and time. Permission to use the video was granted by FM Global.
Computer Science
The following two simulations were developed by Dr. Karen Lemone. The first simulation demonstrates the principle of mathematical induction. The second simulation demonstrates the principle of mathematical induction being used to show that the natural numbers are infinite.
Principle of Mathematical Induction
Principle of Mathematical Induction in Use
Mathematical Sciences
The following animations and interactive applets were developed by Dr. Jacob Gagnon and his student, Anh Do. These applets require the Java plugin for your web browser. Some are available in 2 sizes in order to better fit the size of your computer screen.
- Applet #1
- The first interactive applet demonstrates the law of large numbers. Choose a density and let the number of terms get large. According to the law of large numbers, what value will the sample mean approach as n gets large?
Law of Large Numbers Applet: [1920x1080] [1280x720]
GeoGebra source code: [1920x1280] [1280x720]
- The first interactive applet demonstrates the law of large numbers. Choose a density and let the number of terms get large. According to the law of large numbers, what value will the sample mean approach as n gets large?
- Applet #2
- Applet #3
- A third applet demonstrates the relative frequency interpretation of probability using coin flips.
Coin Flip Animation (Hosted on MIT's web space)
- A third applet demonstrates the relative frequency interpretation of probability using coin flips.
- Applet #4
- The next animation shows the Central Limit Theorem applied to an uniform density. According to the central limit theorem, what do we expect to occur?
Central Limit Theorem Animation
- The next animation shows the Central Limit Theorem applied to an uniform density. According to the central limit theorem, what do we expect to occur?
- Applet #5
- Applet #6
- This applet shows an application of probability to video gaming.
Video game applet (Hosted on MIT's web space)
- This applet shows an application of probability to video gaming.
- Applet #7:
- The following applet shows the relationship between density histograms and density functions
Link: DensityHist
- The following applet shows the relationship between density histograms and density functions
- Applet #8:
- The following applet is a quiz of the relationship between density histograms and density functions
Link: Guess
- The following applet is a quiz of the relationship between density histograms and density functions
- Applet #9:
- The following applet shows the relationship between sample size, confidence level, and the confidence interval
Link: CIapp
- The following applet shows the relationship between sample size, confidence level, and the confidence interval
- Applet #10:
- This applet demonstrates the relationship between sample size, confidence level, and the prediction interval
Link: PIapp
- This applet demonstrates the relationship between sample size, confidence level, and the prediction interval
- Applet #11:
- In the next applet, we visualize common sampling strategies such as simple random sampling, cluster sampling, and stratified sampling
Link: SamplingApp
- In the next applet, we visualize common sampling strategies such as simple random sampling, cluster sampling, and stratified sampling
- Applet #12:
- The following applet allows us to visualize the bivariate normal density
Link: Sagetest
If the first link doesn't work try: Sagetestv2
- The following applet allows us to visualize the bivariate normal density
- Applet #13:
- Next, we have an interactive tutorial for the confidence interval for mu
Link: CItutorapp
- Next, we have an interactive tutorial for the confidence interval for mu
- Applet #14:
- The following applet gives us an interactive introduction to hypothesis testing for mu
Link: HypoApp
- The following applet gives us an interactive introduction to hypothesis testing for mu
- Applet #15:
- The next applet provides us with an interactive tutorial for forming prediction intervals
Link: PItutor
- The next applet provides us with an interactive tutorial for forming prediction intervals
- Applet #16:
- The following applet allows us to visualize the common mass functions and common density functions
Link: Density
Backup server: Density v2
- The following applet allows us to visualize the common mass functions and common density functions
- Applet #17:
- Here we have an interactive tutorial for forming the confidence interval for a population proportion
Link: CIptutorapp
- Here we have an interactive tutorial for forming the confidence interval for a population proportion
- Applet #18:
- The following applet gives students practice in using a t-table to calculate p-values
Link: Ttopapp
- The following applet gives students practice in using a t-table to calculate p-values
- Applet #19:
- Applet #20:
- This applet gives students practice in using the z-table.
Link: ztopapp
- This applet gives students practice in using the z-table.
- Applet #21:
- The following applet gives us an interactive introduction to hypothesis testing for a population proportion
Link: PropHypo
- The following applet gives us an interactive introduction to hypothesis testing for a population proportion
- Applet #22:
- This applet shows us an example of cluster sampling
Link: NewYork
- This applet shows us an example of cluster sampling
- Applet #23:
- The next applet quizzes the student on confidence intervals for mu
Link: CIquiz
- The next applet quizzes the student on confidence intervals for mu
- Applet #24:
- The following applet quizzes the student on confidence intervals for a population proportion
Link: CIpquiz
- The following applet quizzes the student on confidence intervals for a population proportion
- Applet #25:
- Here we have a quiz on prediction intervals
Link: PIquiz
- Here we have a quiz on prediction intervals
- Applet #26:
- The following applet quizzes the student on hypothesis testing for mu
Link: HypoQuiz
- The following applet quizzes the student on hypothesis testing for mu
- Applet #27:
- The next applet quizzes the student on hypothesis testing for a population proportion
Link: PropHypoQuiz
- The next applet quizzes the student on hypothesis testing for a population proportion
- Applet #28:
- The final applet illustrates the principle of blocking in experimental design
Link: Blocking
- The final applet illustrates the principle of blocking in experimental design
Last modified: Sep 25, 2012, 15:40 EDT
