1

Sep 01


Getting Started Class orientation, intro to R,
workflow, packages

Introductions Introductions to each other and
potential projects

Data Wrangling Due Sep 07


2

Sep 08


Data Wrangling Importing, wrangling, and summarizing
data in R

Decision Variables Distinguishing between decision
variables and product attributes

Plotting Due Sep 14


3

Sep 15


RMarkdown & Plotting Intro to “literate
programming” with RMarkdown and plotting with {ggplot2}

Project Scope Defining attribute levels, target
survey population, competitors

formr Due Sep 21

Project Proposal Due Sep 26

4

Sep 22


Intro to formr Designing and implementing surveys in
formr

Survey Plan 1 Overview of survey plan, work on
proposals



5

Sep 29


No Class

Team meetings w/Prof. Helveston Feedback on
proposals


Survey Plan Due Oct 05

6

Oct 06


Conjoint Questions Generating conjoint questions in
R, implementing in formr

Survey Plan 2 Begin implementing survey plan in
formr

Utility Models Due Oct 12

Pilot Survey Due Oct 15

7

Oct 13


Utility Models Intro to utility models, discrete
vs. continuous parameters, parameter coding

Pilot Survey Finish implementing pilot survey in
formr

Estimation Due Oct 19


8

Oct 20


Optimization & MLE Optimization, maximum
likelihood estimation

Pilot Analysis 1 Import & clean pilot data,
joins

Uncertainty Due Oct 26


9

Oct 27


Uncertainty Computing uncertainty in coefficient
estimates

Pilot Analysis 2 Reshaping data, estimating models

Design of Experiment Due Nov 02

Pilot Analysis Due Nov 07

10

Nov 03


DOE & Power Analysis Designing your survey to
reduce error

Pilot Analysis 3 Refine attributes & levels,
conduct power analysis, plot results

WTP & Simulations Due Nov 09


11

Nov 10


WTP & Simulations Computing WTP, WTP space
models, market simulations

WTP & Simulations Compute WTP, define market
simulations, finalize final survey

Heterogeneity Due Nov 16

Final Survey Due Nov 19

12

Nov 17


Heterogeneity Modeling differences in preferences
across sample population

Heterogeneity Estimate mixed logit and subpopulation
models on pilot data



13

Nov 24


Thanksgiving  no class

Final Survey Feilding Collecting data for final
survey



14

Dec 01


Class Review Overview of course concepts

Sensitivity Analyses Compute sensitivity analyses

Exam Due Dec 05

Final Analysis Due Dec 13

15

Dec 08


Exam Solutions

Final Analysis Lab In class time to work on final
analysis



16

Dec 15



Final Presentations


Final Presentation Due Dec 15
