Announcements

2/2

Your 6-week presentations will take place in class on Thursday 2/12.

  • 10 minutes per team.
  • Your presentation should cover:
    • Introduction: background and motivation, problem description and methodology
    • Data: basic description, exploratory data analysis (preliminary)
  • You and I will give your colleagues feedback on their presentations.
  • Share your slides with me by Thursday 2/12 at 0800.
  • Include page (slide) numbers on your slides.
    • This way, your colleagues and I can easily provide feedback on your presentations (e.g., "On slide 7, you had a typo...")

1/22

A draft of (1) your introduction section and (2) outline of your data section is due on Thursday 2/5 at 0800.

  • One member of each team should email me the draft as a PDF file.
  • Your document should be formatted using the Formatting Checklist linked under Resources below.
    • Refer also to the Example Report to see how your report should be formatted.

1/12

A draft of your introduction section is due on Thursday 1/22 at 0800.

  • One member of each team should email me the draft as a PDF file.
  • Your document should be formatted using the Formatting Checklist linked under Resources below.
    • Refer also to the Example Report to see how your report should be formatted.

Show older announcements

Schedule

Date Class

2/10

  • Exploratory data analysis
  • Work on 6-week presentation

2/5

  • Biweekly meetings

2/3

  • Presenting: 10 tips for OR talks
  • Exploratory data analysis

1/29

  • Writing: the data section
  • Exploratory data analysis

1/22

  • Biweekly meetings

1/20

  • Getting started: refining project objective, identifying relevant OR techniques, gathering data

1/15

  • Preparing for a biweekly meeting
  • Writing exercise
  • Getting started: refining project objective, identifying relevant OR techniques, gathering data

1/13

  • Project and team assignments
  • Course policy and course overview
  • Writing: overview, the introduction section
  • Getting started: refining project objective, identifying relevant OR techniques, gathering data

Show past days

Course Logistics

Resources