UTSOAThe University of Texas at Austin School of Architecture

fall 2006

CRP 386:
Introduction to Quantitative Methods

Instructor:
Terry Kahn

Educational Objective

The Introduction to Quantitative Methods is designed to provide the planning student with a working set of basic statistical tools. Methods offered here provide a broad range of analytical skills which will help prepare students for the advanced and applied techniques to be encountered in CRP980Y. This course, or successful completion of a screening exam, is required of all planning students.

Educational Approach

The course format is the standard lecture/response seminar. Ample time during class is allowed for questions and clarification of the numerous examples presented. Problem sets are provided for each section of the course.

Course Content

Specific topics to be covered include probabilities and central tendency, sampling, hypothesis testing, and time series and regression analysis. Planning applications and orientation are employed as examples whenever possible. The breadth of topics to be covered will necessarily limit tangential exploration, so the course outline will be followed rather closely.

Course Schedule and Outline

Both are attached.

Text/Reference Material

There is no text for this course. Reference materials are on reserve.

Basics of Evaluation

Three Quizzes @ 20%
Two Projects @ 20%

Student Must Provide

Calculator; computer disks and paper as needed.

Outline

The outline of the subjects covered in each of the parts of the course is shown below. Each section of the course reader corresponds to a major section of the outline.

Introduction

Part I

  • Probability
  • Central Tendency
  • Dispersion
  • Quiz #1

Part II

  • Sampling
  • Sample Estimates
  • Sample Design
  • Quiz #2

Part III

  • Parametric Hypothesis Tests
  • Non-parametric Hypothesis Tests
  • Quiz #3

Part IV

  • Analysis of Time Series
    • Linear Trend
    • Curvilinear Trend
  • Bivariate Regression and Correlation
  • Project #1

Part V

  • Multiple Regression
  • Project #2

Course Schedule

Due to the large volume of material to be covered, the course will follow the schedule below as closely as possible. The instructor reserves the right to make necessary schedule changes as required to insure adequate treatment of the material.

08/31 Introduction

09/05 Probability
09/07 Probability

09/12 Central Tendency
09/14 Dispersion

09/19 Review
09/21 Quiz #1

09/26 Sampling
09/28 Sample Estimates

10/03 Sample Estimates
10/05 Sample Estimates

10/10 Sample Design
10/12 Sample Design

10/17 Sample Design; Review
10/19 Quiz #2

10/24 Parametric Hypothesis Tests
10/26 Parametric and Non Parametric Hypothesis Tests

10/31 Non- parametric Hypothesis Tests; Review
11/02 Quiz #3

11/07 Linear Trend Analysis
11/09 Linear Trend Analysis; Curvilinear Trend Analysis

11/14 Curvilinear Trend Analysis
11/16 Bivariate Regression and Correlation; Project #1

11/21 Bivariate Regression and Correlation
11/23 Holiday

11/28 Multiple Regression; Project #1 Due; Project #2
11/30 Multiple Regression

12/05 Multiple Regression
12/07 Course Evaluation; Project #2 Due