MIS2502 Data Analytics (Spring 2018)

Instructor: Jing Gong, Section 002/004

Canvas Updates and Agenda for Week 15 (Week of 4/23)

I hope you all had a great weekend. Cannot believe that the semester is almost over — we are in the last week of class!

Please note several updates on Canvas:

(1) Grades for Assignment 7 (Decision Tree) are available. The average score is 84.7/100. If you want to request a regrade, please email me before 11:59 pm next Monday (04/30).
(2) Video solutions to Assignment 6-8 are available under Modules-> Assignment Solution Keys. (I will post the solution to Assignment 9 on Tuesday after the deadline.)

As for this week’s class, below is the schedule:

  • Tuesday — Review for Exam 3
  • Thursday — Exam 3 (please bring a No. 2 pencil, and a calculator)

Office Hours:

  • Jing will hold regular office hours on Tu/Th between 12:50-1:50pm in Speakman 201C.
  • Nathan Pham will hold office hours on Wednesday (4/25) between 11:00am-12:30pm in Alter 240D.

Assignment:

  • Assignment #9 (Association Rules): due on Tuesday, 4/24 before class.
  • Extra credit assignment, with a chance to receive professional achievements points for MIS majors: due on 4/28 at 11:59 PM

Assignment #9: Association Rules (Due by Tuesday, April 24, 2018 before class)

This is our last regular assignment! Yeah!

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 Tuesday, April 24, 2018, before class!

For this assignment, you’ll need to modify the R script you used in ICA #10.1 (aRules.r). To do this, you should finish the related in-class activity first (ICA #10.1- Association Rule Mining Using R).

Agenda for Week 14 (Week of 4/16)

Class Schedule:

  • Tuesday — Association Rules; ICA #10.1-Association Rules using R
  • Thursday — Completing Student Feedback Forms; ICA #10.2-Compute Support, Confidence and Lift (will not be collected); Linear Regression (Optional)

Assignment:

  • Assignment #8 (Clustering in R): due on Thursday, 4/19 before class.
  • Assignment #9 (Association Rules): (to be announced soon) due on Tuesday, 4/24 before class.
  • Extra credit assignment, with a chance to receive professional achievements points for MIS majors: due on April 28, 2017 at 11:59 PM

Exam 3 Study Guide

Here is the Exam 3 Study Guide.

Remember, the exam is on Thursday, 4/26/2018 during class time. There will be an in-class review session on Tuesday, 4/24/2018.

  • For this exam, please bring (i) a No. 2 pencil, and (ii) a calculator. You will not be able to use a computer or your smartphone’s calculator during the exam.

 

Assignment #8: Clustering Using R (Due Thursday, April 19, 2017, before class)

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 Thursday, April 19, 2017, before class.

For this assignment you’ll need to modify the R script you used in ICA #9 (Clustering.R). To do this, you should finish the related in-class exercise first (ICA #9 – Clustering Using R).

Agenda for Week 13 (Week of 4/9)

Class Schedule:

  • Tuesday — Clustering; starting ICA #9-Clustering in R
  • Thursday —ICA #9-Clustering in R; starting Association Rules

Assignment:

  • Assignment #7 (Decision Trees in R): due on Thursday, 4/12 before class.
  • Assignment #8 (Clustering in R) will be announced soon.
  • Extra credit assignment, with a chance to receive professional achievements points for MIS majors: due on April 28, 2017 at 11:59 PM

Assignment #7: Decision Trees in R (Thursday, April 12, 2018, before class)

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

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

This assignment is due Thursday, April 12, 2018, before class.

For this assignment you’ll need to modify the R script you used in ICA #8 (dTree.r). To do this, you should finish the related in-class exercise first (ICA #8 – Decision Trees in R).

(Optional) Extra Credit Assignment — and Professional Achievement Points!

Do a write-up on a data-related topic and submit it by April 28, 2017 at 11:59 PM. You’ll receive 30 points extra credit added to the last assignment and 50 Professional Achievement Points (which only matters to MIS majors) and

So see instructions for this extra credit assignment: MIS2502 Extra Credit and PRO Assignment

As this assignment is for extra credit, late submissions will not be accepted.

A reminder for MIS majors: We mentioned earlier that (see this post), as a departmental policy, all MIS majors who take MIS2502 are required to to earn a minimum of 200 professional achievement points by the end of the semester. You are strongly encouraged to complete this extra credit assignment to earn 50 points.

Agenda for Week 12 (Week of 4/2)

Class Schedule:

  • Tuesday — Classification using Decision Trees; starting ICA #8-Decision trees in R
  • Thursday — Finishing ICA #8-Decision trees in R; starting Clustering

Assignment:

  • Assignment #6 (Introduction to working with R/RStudio): due on Thursday, 4/5 before class.
  • Assignment #7 (Decision Trees in R) will be announced soon: due on Thursday, 4/12 before class.
  • I will also provide a bonus credit assignment, with a chance to receive professional achievements points for MIS majors. Stay tuned.
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Quick Info

Instructor: Jing Gong (gong@temple.edu)

Office Hours:
T/TH, 12:50-1:50 pm (SP201C) or by appointment

ITA: Nathan Pham (nathan.pham@temple.edu)
Aaron Cheng (acheng@temple.edu)

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