Difference between revisions of "User:Pkr6"
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=== Homework 1: 9/10/12 === | === Homework 1: 9/10/12 === | ||
Description of Assignment: Creation of Pratt Pundit user page and citation of grand challenge article. | Description of Assignment: Creation of Pratt Pundit user page and citation of grand challenge article. | ||
| − | Summary of Article: A research group addressed the "Advance Personalized Learning" challenge by developing facial recognition algorithms that estimate a student's comprehension of material taught in a lecture setting. Through feedback mechanisms in the alogorithm, the teacher can adjust the style of teaching accordingly per student, personalizing the learning experience. | + | |
| − | Citation: [http://mplab.ucsd.edu/~jake/its08.pdf Automatic Facial Expression Recognition for Intelligent Tutoring], Jacob Whitehill et. al, Machine Perception Lab at the University of California San Diego, updated 29 February 2008, accessed 9 September 2012 (Grand Challenge). | + | ''Summary of Article'': A research group addressed the "Advance Personalized Learning" challenge by developing facial recognition algorithms that estimate a student's comprehension of material taught in a lecture setting. Through feedback mechanisms in the alogorithm, the teacher can adjust the style of teaching accordingly per student, personalizing the learning experience. |
| + | |||
| + | ''Citation'': [http://mplab.ucsd.edu/~jake/its08.pdf Automatic Facial Expression Recognition for Intelligent Tutoring], Jacob Whitehill et. al, Machine Perception Lab at the University of California San Diego, updated 29 February 2008, accessed 9 September 2012 (Grand Challenge). | ||
=== Homework 2: 9/10/12 === | === Homework 2: 9/10/12 === | ||
| − | Description: | + | ''Description'': Go through MATLAB help and Demonstrations guides then post about one interesting demo. |
| + | |||
| + | ''Demo'': My favorite demo was on solving Differential Equations (odedemo.m) because it is a useful tool for a class I am currently taking, MATH 356: Elementary Differential Equations. This demo goes through the built in commands and script that enable solving of initial value problems and boundary problems for ODEs. A brief discussion of methods for solving Partial Differential Equations was also included. Ultimately, the most valuable aspect of this demo were the plots which helped understand the geometry of the solution curves. | ||
Latest revision as of 06:05, 10 September 2012
About pkr6
I am a Duke University Class of 2016 student enrolled in the Pratt School of Engineering.
Homeworks
This section contains a record of all homework assignments completed in EGR 103L: Computational Methods in Engineering.
Homework 1: 9/10/12
Description of Assignment: Creation of Pratt Pundit user page and citation of grand challenge article.
Summary of Article: A research group addressed the "Advance Personalized Learning" challenge by developing facial recognition algorithms that estimate a student's comprehension of material taught in a lecture setting. Through feedback mechanisms in the alogorithm, the teacher can adjust the style of teaching accordingly per student, personalizing the learning experience.
Citation: Automatic Facial Expression Recognition for Intelligent Tutoring, Jacob Whitehill et. al, Machine Perception Lab at the University of California San Diego, updated 29 February 2008, accessed 9 September 2012 (Grand Challenge).
Homework 2: 9/10/12
Description: Go through MATLAB help and Demonstrations guides then post about one interesting demo.
Demo: My favorite demo was on solving Differential Equations (odedemo.m) because it is a useful tool for a class I am currently taking, MATH 356: Elementary Differential Equations. This demo goes through the built in commands and script that enable solving of initial value problems and boundary problems for ODEs. A brief discussion of methods for solving Partial Differential Equations was also included. Ultimately, the most valuable aspect of this demo were the plots which helped understand the geometry of the solution curves.
