September 15-17, 2014
Time: 6:30 - 9 p.m.
Location: Friend Center Auditorium (101)
The MATLAB and R eWorkshop on programming will be offered this year to engineering undergraduate and graduate students.
MATLAB is used in many upper level engineering courses and students find it useful for performing a wide variety of technical computing tasks for their senior independent work. It is intended for engineering students who already have some familiarity with programming (e.g., COS 126) and linear algebra (e.g., MAT 202).
R is rapidly becoming the leading programming language in statistics and data science. In this introduction to R, we will introduce the basics of this language; topics include File I/O, data manipulation, data structure, package management and data visualization. The R programming language is used in ORF350, COS424, ORF245, ORF405, ORF505 and ORF525. No prerequisites.
The MATLAB and R course has three meetings and registration is required. Each meeting will consist of a lecture presentation from 6:30-7:30 p.m. followed by a hands-on programming tutorial session from 7:30-9 p.m. Note: Students enrolled in CEE 361/MAE 325 will go to Friend 008 for the MATLAB programming sessions.
Different material will be covered each day, thus, attendance to all meetings is highly recommended. Course materials will be posted on Blackboard a week prior to the class. Enter the Blackboard site
Choose your topics
1. Matlab & R (September 15-17)
2. Only Matlab (September 15-16)
3. Only R (September 17)
Indicate your choice on the registration form.
Prior to coming to the first meeting, you are strongly encouraged to download the MATLAB and R software to your laptop and confirm that it is working properly. You will get instructions on how to download the software on the Blackboard.
- You will need to bring your own laptop with the MATLAB and R software already installed.
- No hard copies of the course materials will be handed out. Please print any materials and bring them to the classes.
- The workshop is open to currently enrolled Princeton undergraduate and graduate students only. It carries no course credit and will not appear on your transcript.