A final project is a way for the students to put together everything they’ve learned during the semester.  (Project ideas and specifications are in Chapter 12 in Introduction to Business Analytics). 

I work with the students all semester to carefully specify a research question, form a hypothesis, and find real data to test their hypothesis.  The key is to find a topic/question they want to learn about and are passionate about (it doesn’t have to be about business!).  My wife and I have raised 12 children – the only way to get them to practice piano is if they love what they’re playing.  We know if this generation is passionate about something, it will happen, and if not, well it is a “fight” the whole way through to get their work done. 

After some trial and error, I finally decided that a hands-on course should emphasize a final project, which was even more important than a final exam. So, we have three midterm exams and finish formal class 2-3 weeks before the end of the semester so that they can put all their learning together into a project they are passionate about.  So, in the last few class sessions, I serve as a consultant. 

I provide students with a rubric for their final project that sets the expectations of what needs to be done across 8-10 categories, using the SOAR model as the foundation.  This allows them a frame for their work and allows them to ask me for specific suggestions on what could/should be done.   

 

Here’s what the students said about my class: 

  • (Student Testimonial) The structure of Professor Richardson's class was amazing. I loved how interactive it was with the projects since it made me not only learn the material but how to analyze and manipulate data as well as transform it into various visual. 

  • (Student Testimonial) I feel as if Mr. Richardson did a great job at explaining all the prerequisites necessary for our final project in which we are to implement just about everything we've learned throughout the year. In doing this, I feel as if I am getting a more "hands on" experience in that I am actually analyzing the data myself versus taking a multiple question exam which we've had two of.