Math in the City - Fall 2011math-mitc/materials/Fall2011MitC.pdf · Lectures: Mathematical Modeling...
Transcript of Math in the City - Fall 2011math-mitc/materials/Fall2011MitC.pdf · Lectures: Mathematical Modeling...
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Math in the City - Fall 2011
Math in the City - Fall 2011
Ananthnarayan Hariharan, Lauren Keough
University of Nebraska-Lincoln
Friday, December 2nd, 2011
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Semester Outline
Before the semester
Meet the collaborators
Data collection and analysis
Data examples
Topics and broad questions
Group 1 - BudgetingGroup 2 - InvestingGroup 3 - Investing ++
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Semester Outline
Beginning of the semester
Days 1 - 5:
Lay the ground rules: LyX (Journals and Homework), Dropbox, Doodle.Assign homework 1 (writing assignment on relevant topics)
Homework 1 Example
Form groups and assign project topics.Collaborators’ presentation and introduction to the data.
Weeks 3 - 5.
Lectures: Mathematical Modeling (John Harte: Consider a SphericalCow)Lectures: Linear Programming (Course Materials 2010)
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Semester Outline
Middle of the semester
Homework
Homework 2 - Estimation and Mathematical ModelingHomework 3 - Linear Programming
Sage presentation
Memos1 An estimation problem2 Concrete questions (Student Example)3 Sage worksheet
Visit the Collaborators’ workplace
Writing Presentation
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Semester Outline
End of the semester
Memos
IntroductionMath Section
Presentations
Background and QuestionsMathematics
Deadlines
Final report first draftPresentation slides
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Writing Assignment and Report
Guidelines
Readability
Graphs and Tables
Organization into Sections
Grammar
Credible and Relevant Sources and Resources
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Writing Assignment and Report
Grading the Writing Assignment/Report
1 Content
2 Examples
3 Clarity & Grammar
4 Overall Style & Presentation
5 Organization
6 Introduction & Conclusion
7 Accessibility
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Overall Grading Scheme
Overall Grading Scheme
20% Homeworks
30% Project participation (documented through student journals,communication with team and instructors, participation in specialsessions)
35% Project (memos, intermediate drafts, final report)
15% Performance during oral presentation (understanding of thework, communication skills, quality of the slides)
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Tools
Tools Used
Sage: Mathematical Software for Linear Programming, etc.
Dropbox: Sharing files online
Blackboard: Sharing confidential files (e.g., Journals)
LyX: Latex without the learning curve
Doodle: Easy scheduling
Other mathematical software and programming languages
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Tools
LyX Example
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Summary
Things We Liked
“Hands-off” approach
Journals
Memos
Presentations
Tools: Sage, Dropbox, LyX, Doodle
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Summary
Things We Were Not Happy With
“Hands-off” approach
Fall Break
Thanksgiving Break
Presentations
Tools: Blackboard
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Summary
Challenges
Open ended problems
Making and justifying assumptions
Data
Student projects using high level mathematics
Last minute programming issues
End of the semester stress
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Summary
Why we chose to teach this course
Ananth
Mathematics and Talent Search Programme (India)AdaptabilityReal Life Mathematical Models
Lauren
For the love of mathExperience to repeatLearning
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Summary
Questions?
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