This undergraduate course in modeling and simulation provides lecture notes and assignments, including the famous "Let's Make a Deal," probability problem. Course topics include basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields, techniques and software for statistical sampling, simulation, data analysis and visualization, use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and continuum methods to study fundamental physical phenomena encountered in the fields of computational physics, chemistry, mechanics, materials science, biology, and applied mathematics.

Date Of Record Creation | 2005-05-10 11:33:00 |
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Date Last Modified | 2006-06-26 14:49:00 |

Date Of Record Release | 2005-05-10 10:26:00 |

Alternate Title | Quantitative Literacy;Quantitative Reasoning |

Source | http://ocw.mit.edu/OcwWeb/Mathematics/index.htm |

Relation | http://www.amstat.org/publications/jse/v13n1/sturm-beiss.html |

Email Address | http://ocw.mit.edu/OcwWeb/jsp/feedback.jsp?Referer=22.00J+Introduction+to+Modeling+and+Simulation%2c |

Date Issued | 2003 |

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Typical Learning Time | Various |

Author Name | MIT Instructors Including: Yip, Powell, ..., White |

Author Organization | Massachusetts Institute of Technology |

General Comments | Dead Link |

Technical Requirements | Adobe Acrobat Reader |

Comments | These applets can be an excellent resource for instructors if thought is put into how to introduce them to the students. The applets could be useful for guided lecture demonstrations to illustrate a concept such as sampling distributions which can be hard for a student to understand with words only. The applets could also be used as part of a lab if the instructor writes out instructions and specific questions for the students to answer. |

Content Quality (Concerns) | Unless those who come to this collection have some familiarity with other work by Rossman and Chance (e.g., "Workshop Statistics" or "Investigating Statistical Concepts, Applications, and Methods"), they may not understand just how to work with the applets or how they can be used in the context of larger activities. Once nice new addition to the collection--for some applets (e.g., the Normal Probability Calculator)--is the inclusion of instructions for how to use the applet and a short video showing how to use the applet. It would be nice if other applets had this feature as well. The applet collection is currently undergoing revision (as the authors note on the homepage), and so this concern might eventually be addressed. Even adding a short disclaimer to the homepage to inform interested individuals that more information about using the applets can be found by consulting other resources (like "Workshop Statistics") would be helpful. Uses pi instead of p for the population proportion, but this notation is used in many (not all) books. |

Content Quality (Strengths) | This collection includes more than enough material, and quite a few of the topics covered in the introductory statistics course can be found in this extensive applet collection. There are engaging graphics included in many of the applets (like the Random Babies applet and the Reese's Pieces applet) and the collection is well organized. The absence of instructions for some of these applets could make it easier and more graphically pleasing to use these applets as labs and lectures. The instructor can think of creative ways to use these applets without being limited by instructions. |

Ease of Use (Concerns) | As mentioned earlier, the only concern is that it's not always obvious how to use each applet without background knowledge gained from "Workshop Statistics." However, since the applet collection is always undergoing revisions (and since more and more applets are added on a regular basis), this issue may soon be addressed. |

Ease of Use (Strengths) | Many of the applets are very easy to use and can be figured out without a lot of direction. Several of the applets include engaging visuals and vivid colors, and all of the applets are interactive. This collection is a model of high design quality. The data analysis applets are particularly strong and include good step-by-step instructions and thought-questions for the students. The probability applets are easier to understand without instructions. |

Potential Effectiveness (Concerns) | The instructor will need to explain the concepts and relationships between the concepts to the students. The instructor will need to write instructions for their own students. It would help the instructor to read the applicable sections of Workshop Statistics to learn what the author intended first. |

Potential Effectiveness (Strengths) | I regularly use this collection in my own courses to help students better grasp complex ideas and concepts. Many of the topics that students in an introductory statistics course struggle with (e.g., sampling distributions, inference)are presented in this collection, and certainly, a goal of the collection is to better help students develop a more conceptual understanding of these topics. Those interested in using this collection can find activities related to different applets in some of the other work done by Rossman and Chance (like "Workshop Statistics" and "Investigating Statistical Concepts, Applications, or Methods"). However, even without access to these resources, it would be relatively easy to create assignments and assessments based on many of the applets. By using these applets, students can discover patterns in data that might not be otherwise seen (e.g., some applets allow students to simulate taking thousands of different samples, and this can help them better see what shape a sampling distribution will take on and how sample size affects the shape of the sampling distribution). |

Content Quality (Rating) | 4 |

Ease of Use (Rating) | 4 |

Potential Effectiveness (Rating) | 4 |

Source Code Available | 1 |

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