MIS2502: DATA ANALYTICS (FALL 2017, SECTION 002)

Instructor: Jing Gong. Class Time: M/W/F 2:00-2:50 pm

Office Hours for Assignment#8 & Final Exam

As a reminder, there is no class on Monday, 12/11/2017. Instead, I will hold office hour in my office. Below is the list of office hours either by me or by Nathan.

  1. Monday, 12/11, 2:00-3:00 pm (by Jing. Location: Speakman 201C)
  2. Tuesday. 12/12, 1:00-2:15 pm (by Nathan. Location: Alter 240D)
  3. Thursday, 12/14, 12:00-1:00 pm (by Jing. Location: Speakman 201C)

Final Exam (aka Exam 3) Study Guide

Here is the Final Exam Study Guide.

There will be an in-class review session on Friday, 12/8/2017. Office hours for the final exam will be announced later.

 

The schedule of the final exam is as follows:

Date/TimeMonday, 12/18/2017 at 1:00-2:00 pm

Location: our regular classroom

Note:

1. Please bring a calculator. You will not be able to use a computer or your smartphone’s calculator during the exam.

2. We will have the room until 3:00 pm but we will only use 1 hour for the final exam

Agenda for Week 15 (Week of 12/4)

Cannot believe that the semester is almost over! Here is the agenda for this week:

Class Schedule:

  • Monday — Slide Deck (Association Rules) Continued + ICA #12.1 (Computing Confidence, Support, and Lift)
  • Wednesday — ICA #12.2 (Association Rules Using R)
  • Friday — Review for Final Exam
  • How about next Monday? Stay tuned …
    • If we can finish the review session on Friday, we won’t have class next Monday.
    • But if we could not finish everything, we will meet next Monday as well.

Deadlines (unless otherwise mentioned, the due time is 11:59 pm):

  • ICA #12.2 (Association Rules Using R): 12/8 (Friday).
  • Assignment #7 (Clustering): 12/6 (Wednesday).
  • Assignment #8 (Association Rules): 12/13 (Wednesday).

Assignment #8: Association Rules (Due by Wednesday, December 13, 2017 at 11:59 pm)

Here are the assignment instructions and an answer sheet to submit (in Word format).

And here is the data set for the assignment (Groceries.csv).

This assignment is due by Wednesday, December 13, 2017 at 11:59 pm!

For this assignment, you’ll need to modify the R script you used in ICA #12.2 (aRules.r). To do this, you should finish the related in-class activity first (ICA #12.2- Association Rule Mining Using R).

Complete the Course Evaluations by December 13!

Don’t forget to complete the online course evaluation for this class!

You can access the ESFF site here. The deadline is December 13 (well, technically December 14 at 8:00 AM, but are you really going to get up early on December 14 to do it?).

It only will take you five minutes, but it is important.

Some things about the course evaluations:

  • I really look at the feedback and use it to make changes to improve teaching, course design, and materials for future semesters.
  • Feedback contributes to other important decision about how courses are taught at Fox and Temple University.
  • Your feedback is anonymous and confidential – I don’t get the results until after the semester is completely over and no identifying information will be associated with responses in any reports.

Assignment #7: Clustering Using R (Due Wednesday, December 6, 2017 at 11:59 pm)

Here is the assignment instructions and an answer sheet to submit (in Word format).

Here is the data file you’ll need: Jeans.csv. (Right click to download the file. Make sure that the name doesn’t change)

This assignment is due Wednesday, December 6, 2017 at 11:59 pm.

For this assignment you’ll need to modify the R script you used in In-Class Exercise #11 (Clustering.R). To do this, you should finish the related in-class exercise first (ICA #11 – Clustering Using R).

Agenda for Week 14 (Week of 11/27)

Class Schedule:

  • Monday — Slide deck (Clustering) + ICA #11 (Clustering in R)
  • Wednesday — ICA #11 (Clustering in R)
  • Friday — Slide Deck (Association Rules)

Deadlines (unless otherwise mentioned, the due time is 11:59 pm):

  • ICA #11 (Decision Trees in R): 12/1 (Friday).
  • Assignment #6 (Decision Trees): 11/29 (Wednesday).
  • Assignment #7 (Clustering): 12/6 (Wednesday).
1 2 3 6