BUS 320 Business Data Analysis and Interpretation

Subject to revision

(last revised March 18, 2020)

  • Instructor: Elizabeth Stanny, PhD
  • Email: stanny@sonoma.edu
  • Office hours:
    • in Zoom meeting room id 904 996 6788
      • Monday 4:30 - 5:30 PM
      • Tuesday 3:15 - 4:15 PM
      • Wednesday 12:15 - 1:15 PM

Course description

This is an applied course that builds upon knowledge acquired from lower-division statistics coursework. It exposes students to the research and data analysis practices executed in the business world. A focus of this course is on generating reproducible analyses using the R programming language.

Prerequisites

  • Pre-Business requirements
  • Proficiency in spreadsheet software

Course format

  • This was a hybrid course until March 18.
    • Mondays on Zoom
    • Wednesdays in Schulz 2010
  • This is an online course until at least April 19
    • Mondays and Wednesdays on Zoom
    • Attendance is required on both days
  • Course site: stanny.moodle.school. If you are enrolled in the course, I will send you login information.
    • If you have any questions about the site, please ask me.

Schedule is here

Grading

There are 1000 possible points in the course. Your grade will be determined by your total points:

Grade Points
A 950
A- 900
B+ 870
B 830
B- 800
C+ 770
C 730
C- 700
D+ 670
D 600

Wednesday in-class participation 100 points (max)

Ten points each attendance day that you

  • arrive on time
  • are mentally and physically present for the entire class
  • respond to question(s) on Moodle during class
  • 10 points / class x 13 classes = 130 possible points
    • You can miss up to 3 classes and your grade will not be affected.

Quizzes 400 points (on Moodle)

  • Each Quiz has a Rmarkdown template posted on Moodle (e.g. quiz02_lastname_firstname.Rmd)
  • Download this template into your R project for this class. Rename and replace lastname (firstname) with your lastname (firstname) (e.g. quiz02_stanny_elizabeth.Rmd)
  • On the Moodle quiz you will find information specific to your quiz.
    • Replace all the SEE QUIZ items in your Rmarkdown document (e.g. quiz02_stanny_elizabeth.Rmd) with your quiz specific information.
    • Replace all the ??? in your Rmarkdown document with code that makes the code run correctly or with answers to questions.
  • You can attempt each quiz twice and you will receive your highest grade
  • Late quizzes will not be accepted. Please do not ask.
  • There will be multiple versions of quizzes. You can work with others on the quizzes, but you must enter and understand your answers. When you submit your answers you are acknowledging that you can explain them.

Monday Zoom 200 points (max)

  • Monday you will present your Rmarkdown file for the quiz on Zoom
  • Grading (20 points per quiz)
    • 10 points if you correctly replaced all the SEE QUIZ and ??? instances in your Rmarkdown file (e.g. quiz02_stanny_elizabeth.Rmd) and you can explain your work.
    • 10 points for demonstrating that your Rmarkdown file successfully knits to an html document.
  • 20 possible points / Monday x 11 quizzes = 220 possible points.

Exams 300 points

  • See the Schedule for the dates

Course materials

  • R/RStudio

  • Slides and readings here

Policies

  • You must adhere to SSU’s Cheating and Plagiarism policy. Academic dishonesty (e.g., cheating, plagiarism, etc.) will not be tolerated and will result in a zero grade (i.e., no points) on the quiz or exam and, possibly, a failing grade in the course.
  • Please be advised that the on-line software allows me to track every click you make on the course site. I know whether, when and where you attempt quizzes, access notes, etc.
  • There are no opportunities for points not listed above. Please do not ask.
  • Disability Services for Students (DSS)
    • Academic Accommodation: If you are a student with a disability, and think you may need academic accommodations, please contact Disability Services for Students (DSS), located in Salazar Hall, Room 1049, Voice: (707) 664-2677, TTY/TDD: (707) 664-2958, as early as possible in order to avoid a delay in receiving accommodation services. Use of DSS services, including testing accommodations, requires prior authorization by DSS in compliance with university policies and procedures.
  • Students may not record (audio or video) in this class except in accordance with ADA accommodations. Any recordings made in connection with a disability accommodation are for the student’s personal academic use only and may not be distributed in any manner to any other individual.