Now that the course is just about over, think about what you’ve learned.
- For you, what is the most important takeaway from the course?
- How would you explain what you’ve learned to a future employer in a job interview?
Complete the student feedback form for MIS2502 by December 12!
Don’t forget to complete the online course evaluation for this class!
You can access the ESFF site here. The deadline is December 12 (well, technically December 13 at 8:00 AM).
It only will take you five minutes, but it is important.
Some things about the course evaluations:
- Your feedback is anonymous.
- I don’t get the results until after the semester is completely over.
- I really look at the feedback and use it to make changes for future semesters.
Final Exam Study Guide
Here is the study guide for the final exam.
Check the course schedule for the exam dates.
Weekly Question #9: Complete by November 29, 2018
Name and describe a Thanksgiving-themed question that you could answer using clustering. What data would you collect to perform the analysis? Don’t use an example we’ve covered in class.
Weekly Question #8: Complete by November 15, 2018
Name and describe a business question that you could answer using a decision tree. What data would you collect to perform the analysis? Don’t use an example we’ve covered in class.
What advice would you give someone regarding how to select the right predictor variables for a decision tree analysis?
Still no weekly question this week…
Yes, well, I forgot to post it. We’ll definitely start it up again on November 8.
No weekly question this week
It’s exam time again, so no weekly question. It will return on Thursday, November 1!
Guest Speaker on October 30: Bogdan Rosca, Amerisource Bergen
After the exam review on October 30, we will have a guest speaker. Bogdan Rosca, Senior Director of Data Analytics for AmerisourceBergen, will talk with us about how their company uses analytics and machine learning. His bio is below:
Bogdan Rosca is responsible for AmerisourceBergen’s overall enterprise information architecture, enabling the organization to leverage its massive data assets, through innovative information architecture approaches and state of the art analytics technologies.
Bogdan also leads the implementation of AmerisourceBergen’s public cloud Enterprise Analytics Platform, aimed at providing access to enterprise data, delivering self-service analytics capabilities at scale and enabling incremental value generation.
Bogdan has a deep background in software engineering and enterprise information management and analytics, and brings real-world experience in helping transform organizations via more effective use of information technology.
Prior to joining AmerisourceBergen, Bogdan was a Research Group Head with Siemens’ Research Division, where he developed and delivered multiple Big Data and Analytics platforms for predictive maintenance, servicing fleets of healthcare scanners, wind and gas turbines, smart grids and trains.
Exam Study Guide 2
Here is the study guide for the second exam.
Check the course schedule for the exam dates.
Weekly Question #7: Complete by October 25, 2018
In class we discussed how data cubes are made up of dimensions and measured facts. Give an example of a data cube that we didn’t discuss in class by describing:
- The business question to be answered.
- The dimensions.
- The measured fact(s).