All course material is available through our official course web site.
Prerequisite:
MTH 208W or MTH 209W (may be taken concurrently)
see course description in the Delta College
Catalog
Required Materials:
All of these materials are available at the links below at no cost. If you
would like printed copies of the textbook you can purchase that at a
modest price.
You can begin with RStudio Cloud, but you will find it most
convenient to download and install R and RStudio to use on your
personal computer, so that you do not need to always rely on an
internet connection.
You need to download and install R to use RStudio.
Useful Materials:
Our textbook
R for Data Science (2e)
refers you to many useful articles, websites, and books, most available
online for free. Explore these references.
Deadlines, Assessments, and Attendance:
Deadlines
Assessment deadlines will be 11:59pm each Saturday.
All assessments are submitted to the Homework Folder inside your
assigned Google Drive folder.
There are no make-ups for missed assessments. Contact me before a
deadline if you have an issue meeting the deadline and we will
find a mutually agreeable solution.
Assessments
Each week your assessment will consist of a set of homework exercises
based on the reading of the week and the textbook exercises in that
reading.
Attendance
Attendance in our course is measured only by on-time completion of
assessments.
If you complete our weekly assessments on-time you are marked "present"
for the week, otherwise you are marked "absent".
Official Course Dates:
This course does not meet on Monday, January 20 (Martin Luther King, Jr. Day).
This course does not meet during the week of March 3-8 (Spring Break).
Student Resources and College Policies
There are many excellent resources that you can benefit from and many
college policies that you should be aware of all gathered at one place:
https://www.delta.edu/students/.
I answer your emails in the order they are received, usually within 24
hours. I will use your Delta College email address.
Reading
Read through the chapters assigned each week.
Execute each line of code by typing it yourself, do not simply
"copy-and-paste" code. As time goes by you will learn when it is
appropriate to copy-and-paste.
Recommended problems
Try to do each exercise in the textbook and you may review the
available solutions in the exercise solutions manual.
Office hours
Office hours are open to students in all of my courses. Questions are
answered in the order they are asked.
Come and see me in my office or make an appointment with me if you need
help getting started. There will be a sharp learning curve.
It will be helpful to have both an installation of
R and
RStudio, and an
account at RStudio Cloud.
You will find it most convenient to download and install
R and
RStudio to
use on your personal computer, so that you do not need to rely on
an internet connection.
Your grade is based on your percentage score on your weekly homework.
Round your percentage score up the nearest whole percentage to determine your
letter grade.
A (93%-100%), A- (90%-92%), B+ (87%-89%), B (83%-86%), B- (80%-82%),
C+ (77%-79%), C (73%-76%), C- (70%-72%), D+ (67%-69%), D (63%-66%),
D- (60%-62%), F (0%-59%).
Each week I will give you a copy of your current grade report, including your
scores on all assessments taken to date. Review your grade report to make sure
that it is accurate and to know your current grade in the course.