Sample Exam Questions

• Instructor
  • Deborah Nolan
    • Office: 395 Evans
    • Email: nolan@stat.berkeley.edu
    • Office Hours: Wed 3:00-4:00 and Thu 2:00-3:00
• GSI
  • Joel Hanson
    • Office:
    • Email: jhanson@stat.berkeley.edu
    • Office Hours: Thu 3-5
• Student Assistants
  • Jay Santhan
    • Office: 342 Evans
    • Email: jsanthan@berkeley.edu
    • Office Hours: Tue 11-12, Wed 10:30-11:30
  • Tammy Lee
    • Office: 342 Evans
    • Email: tammylee@uclink.berkeley.edu
    • Office Hours: Tue 1-2
  • Louis Ho
    • Office: 342 Evans
    • Email: echoboi@yahoo.com
    • Office Hours: Mon 12-1

• Class meets MWF: 2-3 in 180 TAN
• Lab meets on Fridays: 3-4 or 4-5 in 342 Evans

• There is NO textbook for the class. Chapters of a draft manuscript will be made available on the web throughout the semester.

• We will use R as the primary computational environment
  R manuals
  • Using R for Data Analysis and Graphics - Introduction, Examples and Commentary by John Maindonald
  • R for Beginners by Emmanuel Paradis
  • An Introduction to R
  • R Data Import/Export
  • R Language Definition
• Computing Resources: Statistical Computing Facilities (SCF) - networked computers running Unix
• Undergraduate computer laboratory
  • 342 Evans and 432 Evans
  • Open 8am to 6pm Monday through Friday.
  • Remote access through ssh and Exceed. Nathan Chan has instructions on how to install Exceed.
• Discussion Board and Mailing lists: Blackboard.Berkeley.edu

Participation	4%	Class mailing list and in class discussion
Homeworks	20%	5 Short computing assignments wach worth 4%
Projects	56%	4 Parts each worth 14%
		Must be done in groups of 2
		Possible topics: Election maps, Adhoc network simulation, Traffic, GUI development
Final	20%	Written final exam Saturday, Dec 17 5-8pm

Expectations: Although there is no computing, probability, or statistics prerequisite for this course, there is an expectation that you have the Curiosity, Initiative, and Motivation to Explore on your own and Learn as needed.