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Data and Analytics

INSTRUCTOR: JAEHWUEN JUNG

Data and Analytics

MIS 2502.002 ■ Spring 2026 ■ Jaehwuen Jung
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  • In-Class Activities
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    • Course details
    • Review and Exam Study Guides
    • softwaretool-instructions

Assignment #9: Association Mining Using Python [Due Tuesday, 4/21/26 at 11:59 pm]

April 14, 2026 Leave a Comment

Here are the assignment instructions (in Word format).

For this assignment, you’ll use the ARulesAssignmentOutput.csv, which is generated based on the Python code as in ICA16. 

In addition, no late submissions will be accepted for this assignment (I will post the solution right after the deadline, so you can prepare for the exam.)

Assignment #8: Clustering Using Python [Due Tuesday, 4/14/2026 at 11:59 pm]

April 7, 2026 Leave a Comment

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

Here is the data file you’ll need Restaurant.csv. 

For this assignment, you’ll need to modify the Python script you used in ICA #14. 

Extra Credit Assignment: Decision Tree Using Python [Due Wednesday, 4/29/26 at 11:59 pm]

April 7, 2026 Leave a Comment

Here are the assignment instructions(in Word format).

For this assignment, you’ll need to modify the python script you used in ICA #13 (ICA13_Decision_tree.ipynb).

Due date: Wednesday, 4/29/2026, 11:59 pm.

Assignment #7: Decision Tree Using Python [Due Tuesday, 4/7/26 at 11:59 pm]

March 31, 2026 Leave a Comment

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

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

For this assignment, you’ll need to modify the Python script you used in ICA #13. (ICA13_Decision_tree.ipynb).

Due date: Tuesday, 4/7/2026, 11:59 pm.

Exam #2 Study Guide: Semi-structured Data, Python Basics/JSON/Pandas, ETL, Hypothesis Testing, Data Visualization [During class time on 3/26]

March 19, 2026 Leave a Comment

  • The exam is closed book, closed notes. The exam will be a combination of multiple-choice and short-answer questions.
  • Exam # 2 covers all the lectures from “Semi-structured data” to “Data visualization”. 
  • Study Guide for Exam #2 (word)
  • Study Guide for Exam #2 (ppt)
  • Additional practice questions:
    • Python code  /  solution
    • airbnb_practice.json

Assignment #6: Python Pandas [Due Tuesday, 3/19/26 at 11:59 pm]

March 12, 2026 Leave a Comment

Here are the instructions and csv file: Assignment #6 – Python Pandas and Sales.csv.

Submit your answer sheet as an HTML document through Canvas>Assignment>To-Do.

Due date: Thursday, 3/19/2026, 11:59 pm.

Assignment #5: Python and JSON [Due Thursday, 3/12/26 at 11:59 pm]

February 26, 2026 Leave a Comment

Here are the instructions and JSON file: Assignment #5 – Python and JSON and restaurant.json.

Submit your answer sheet as an HTML document.

Due date: Thursday, 3/12/2026, 11:59 pm.

Assignment #4: Python Basics [Due Thursday, 2/26/26 at 11:59 pm]

February 19, 2026 Leave a Comment

Here are the instructions: Assignment #4 – Python Basics.

Submit your answer sheet as an HTML document through Canvas>Assignment>To-Do.

Due date: Thursday, 2/26/2026, 11:59 pm.

Setting up Anaconda and Jupyter Notebook

February 17, 2026 Leave a Comment

We will use Python for the remainder of the semester, starting on Feb 19th.
Please see the instruction link and install the software before the next class.

What is Python?
● Python is an interpreted, high-level, general-purpose programming language.

What is Jupyter Notebook?
● Jupyter Notebooks are a powerful way to write and iterate on your Python code for data analysis. Rather than writing and re-writing an entire program, you can write lines of code and run them one at a time.

What is Anaconda?
● Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing that aims to simplify package management and deployment.

Exam #1 Study Guide: Data&Information/Schema/SQL [During class time on 2/12]

February 5, 2026 Leave a Comment

  • The exam is a closed book, closed notes. The exam will be a combination of multiple-choice and short-answer questions.
  • Exam # 1 covers all the lectures up to “SQL 2: Getting Information Out of a Database – Advanced Queries”. We will have a review session on 2/10.
  • Study Guide for Exam #1 (word)
  • Study Guide for Exam #1 (ppt)
  • Here are some practice questions, in case you want more exercise.
    • SQL Query Practice Problems- Solutions
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QUICK INFO

  • Time and Locations: 12:30 pm – 1:50 pm, Tuesday and Thursday, Alter 234
  • Instructor: Jaehwuen Jung (jaejung@temple.edu)
    Office hours: 11:00 am – noon, Tuesday and Thursday (Speakman 201D)
  • ITA: Gemma Scotto Di Luzio
    (gemma.scotto@temple.edu)
  • TA: Jaeyeon Jeong
    (jaeyeon.jeong@temple.edu)
    Office hours: 4 pm – 5 pm on the day of the assignment due (208 G or Zoom)

LINKS

  • Temple Canvas
  • MasteryGrids (Extra Points)
  • MySQL Workbench Instruction
  • Jupyter and Anaconda Instruction

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