Martin Lab

aquatic biology and ecology

GB 459/859

Special topic: Introduction to R

Instructor: Dr. Erika C Martin

 

COURSE OUTCOME

This course is designed as a general education course that will provide hands-on learning opportunities to science students. Students will use program R and basic code writing skills to enhance reasoning and problem-solving skills, including the application of basic mathematics and statistical analyses. Along with analyses, students will be able to create and interpret graphs. Students will be introduced to and learn the basics of writing command code on computers to generate basic equations, loops, graphs and parametric statistical analyses.

 

REQUIRED TEXT

Text will be provided in class as handouts. 

 

GRADING  

There will be an assignment given at the end of every class that will be due the following week.

Your instructor will collect and grade your exercises each week, and you will receive 0-10 points for each.  Neatness, clarity, and completeness of data presentation will be rewarded.

 

Four quizzes will be given during the semester covering the previous 2-3 classes and may include, but is not limited to terminology, functions and concepts covered in lectures.  Quizzes are given at the beginning of the period. 

 

14 assignments (10 pts ea)                  140 

Independent analysis                          30 

4 quizzes (15 pts ea)                              60

Comprehensive final                           30

Total Points                                          260

 

NOTE: Course schedule changes might affect these values!

 

The following grade scale will be used:

90-100 – A 80-89 – B 70-79 – C 60-69 – D Below 60 – F


Calculate your own grade by taking the sum of your points divided by 260.

 

MISSED/LATE ASSIGNMENTS

If you cannot attend class, every effort should be made to contact your fellow students to stay up to date on information.  THERE ARE NO MAKE-UP CLASSES.  There is no extra credit. Late assignments will not be accepted.

 

ACADEMIC MISCONDUCT

All acts of dishonesty in any work constitute academic misconduct.  This includes, but is not limited to cheating, plagiarism, fabrication of information, misrepresentations, and abetting of any of the above. A zero (0) will automatically assigned for that quiz/exam/assignment if any of the above occur.

 

DISABILITY SERVICES 

Emporia State University will make reasonable accommodations for persons with documented diabilities.  Students need to contact the Director of Diability Services and the professor as early in the semester as possible to ensure that classroom and academic accommodations are implemented in a timely fashion.  All communication between students, the Office of Disability Services, and the professor will be strictly confidential.  It is up to the student to contact the Office of Disability Services and Non-Traditional Student Programs, 242 SE Morse Hall, 620-341-6637 Voice, 620-341-6646 TTY, or email [email protected]

 

WITHDRAWALS 

It is the student’s responsibility to complete the necessary paperwork if he/she wishes to withdraw from this course.  The deadline for withdrawing with a “W” this semester is Monday, September 26th.  If you stop coming and do not withdraw, you will probably get an “F”. IF MORE THAN TWO CONSECUTIVE CLASSES ARE MISSED, THE INSTRUCTOR MAY DROP YOU FROM THE COURSE WITHOUT NOTICE.

 


 

GB 459 / 859 SCHEDULE FALL 2016

 

Date                                        Topic                                                                                                 .

Aug 23                                    Installing R, Overview, & Basic Mathematical Operators

 

Aug 30                                    Libraries & Packages

 

Sep 6                                       R Studio / Importing Data / Vectors & Matrices QUIZ 1

 

Sep 13                                     Data Frames & Variables / Introduction to Class Project

 

Sep 20                                    Formatting Data

 

Sep 27                                     Histogram & Basic Graphing Techniques

 

Oct 4                                       Exploring Data; Residuals, Outlier Tests, & Normality QUIZ 2

 

Oct 11                                      Exploring Data; Residuals, Outlier Tests, & Normality (continued)

 

Oct 18                                     Loops

 

Oct 25                                    Chi-Square & t-Tests

 

Nov 1                                      ANOVA QUIZ 3

 

Nov 8                                      Project Work Day Election Day (no class, so GO VOTE!)

 

Nov 15                                    Class Project Draft Due 

 

Nov 22                                    Thanksgiving (no class)

 

Nov 29                                    TBA QUIZ 4

 

Dec 6                                       Exam Review Class Project Final Due

 

Dec 13                                     FINAL EXAM