UIC UPP 503 - Data Analysis for Planning and Management (3 pages)

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Data Analysis for Planning and Management



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Data Analysis for Planning and Management

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Lecture Notes


Pages:
3
School:
University of Illinois at Chicago
Course:
Upp 503 - Data Analysis For Planning And Management I
Data Analysis For Planning And Management I Documents

Unformatted text preview:

UPP 503 Code No 22637 Data Analysis for Planning and Management Time M W 4 5 30 pm Class Room 2113 2ADH Instructor Kazuya Kawamura Office 234 CUPPA HALL E mail Kazuya uic edu Phone 312 413 1269 Office Hour by appointment Note I will not see any students on Mondays I have two lectures TA Yamini Jha Office 244 CUPPA HALL E mail yjha2 uic edu Phone 312 491 8871 Office Hour 2 5 pm Tuesdays Course Description This course introduces students to data analysis techniques most commonly used in urban planning Topics to be covered include presentation of data measure of central tendency and dispersion probability concepts sampling hypothesis testing and confidence intervals analysis of categorical variables and linear regression Students will also learn to use the statistical computer package to clean manage and analyze data Prerequisites Ability to read and understand graphs and basic equations Text Alan Agresti and Barbara Finley Statistical Methods for the Social Sciences Third Edition Prentice Hall 1997 required ISBN 0 13 526526 6 In addition handouts will be given to supplement the text when necessary Blackboard CourseInfo CourseInfo is basically a Web site dedicated to this course I will post assignments answers grades and announcements on the Blackboard CourseInfo Communication Often I will use the e mail feature of CourseInfo to make important announcements regarding assignments and exams To be included in the CourseInfo e mail list you must obtain an UIC e mail account with uic edu domain or if you are using an off site account work with the ACCC to set it up as your UIC account before the first day of the class Requirements The course will be taught using a lecture format with a midterm and final exams homework assignments and computer assignments Grades will be determined by Midterm 20 Final 30 Homework 15 The lowest grade will be dropped Computer Assignments 30 2 submittals Attendance and class participation 5 You are encouraged to form study groups however



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