Instructor: Josef Mundt
Number of Credits: 4
The syllabus for this class is as follows:
Class will be Monday from 6:30 - 8:20 (room 209)
Lab will be Thursday from 6:30 - 8:20 (Dickinson Computer Lab)
Office Hours are available from 5:00 - 6:30 on Mondays and Thursdays
Appointments as needed
This course has three goals:
To understand and be able to use the information from an Introductory Statistics Course
To become fluent in using r as a statistical software
To undertake a deeper analysis of a data set (self made or otherwise) into a large final project culminating in new information or understanding.
We will be using our book as a resource while also relying on many outside data sets. Our goal will be to work through univariate data to the point of t.tests and then work through bivariate data looking for regression and correlation. We will spend a few weeks on the usefulness of data as we have collected.
As we proceed, we will also be learning the basics of coding in r and uses of imports of libraries for new techniques. The final month will be focused on independent work and project, backing that up with classes to share knowledge and ideas.
The class will be graded on the following:
Assigned Labs: Each lab will be turned in by midnight on Friday unless otherwise specified. These labs will be started in class. These may be completed on ones own or with the aid of another member of the class. Both members are, however, responsible for the knowledge in the lab.
Participation/Homework: Participation in class is expected, especially during the Monday sessions. Homework is to be completed before each class to aid in discussion and overall depth of knowledge and is included as part of participation.
Midterm: There will be a midterm lab. This will be done on an individual basis. Resources will be used (internet, book, etc. etc.)
Final Project: The final project, including correct uses of statistical methods, proper creation and presentation will be a major factor in the grading of this class.
Final Assignment: Similar to the midterm, but instead of using a class period will be a take home assignment to be completed as an individual. Resources can be used.
All labs, homework and assignments can be found online. All labs, homework, and other assignments will be turned in over e-mail unless otherwise specified. Labs and assignments will be graded according to completion, accuracy and punctuality.
Contact and other information:
The best way to contact is through e-mail.
Due to the pacing of the class, students will be contacted after 2 absences and a plan/reminder will be created. More absences than that can result in diminished grades or a loss of credit.