Section 006, Instructor: Sezgin Ayabakan


Study Guide for Exam 1

Here is the study guide for the first exam.

Couple of items for your attention:

Exam info:

  • Day: Oct 5, Friday
  • Time: Between 9:00am and 9:50am
  • Location: Alter 232
  • Closed-book and -notes. No computers.

I will hold an exam review sessions on Monday and Wednesday during our regular class time and location.

Extra Credit Assignment – Comcast NBCUniversal Analytics Challenge

Temple is hosting a university-wide data visualization contest–Comcast NBCUniversal Analytics Challenge.

Guideline for participation is posted here. Participation rules:

  • Any student currently enrolled at Temple University can participate.
    • PhD students may not enter.
  • Work individually or in teams.
  • No registration required.
  • Choose one of the three challenges and address one or more of the questions for that challenge.

You can pick any of these three challenges:

  1. Comcast NBCUniversal: How can media companies align with esports?
  2. AmerisourceBergen: Why do pharmacies buy drugs from non-primary vendors
  3. Alexion: Who are the winners and losers in healthcare funding and payments?

Follow the guideline for further details and what and how to submit your work.

Extra credit rule:

  • Once you submit, email me your submission to get an extra credit.
  • If your submission is comprehensive enough (addressing the question asked by the company), you will receive 5 points towards your lowest exam score. Simply, your lowest exam score will be increased by 5 points.
  • Last day to submit your work to the challenge is Oct 31.

Other possible benefits:

There are multiple categories to win and if you win in any of those categories you will receive a cash prize 🙂 Total cash prize is $12,000 this year.


Welcome to MIS 0855!

We are all drowning in data, and so is your future employer. Data pours in from sources as diverse as social media, customer loyalty programs, weather stations, smartphones, and credit card purchases. How can you make sense of it all? Those that can turn raw data into insight will be tomorrow’s decision-makers; those that can solve problems and communicate using data will be tomorrow’s leaders. This course will teach you how to harness the power of data by mastering the ways it is stored, organized, and analyzed to enable better decisions. You will get hands-on experience by solving problems using a variety of powerful, computer-based data tools virtually every organization uses. You will also learn to make more impactful and persuasive presentations by learning the key principles of presenting data visually.

Office Hours

Sezgin Ayabakan, PhD (Instructor)

Office: Speakman 201B

Office hours: by appointment

ITA information

Cong Ngo

Office: Alter 240G

Office Hours: Tuesdays and Thursdays 2:30 – 3:30 pm