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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.003 ■ Fall 2022 ■ Guohou Shan
  • Schedule
  • Announcements
  • Readings
  • About
    • Course details
    • Course syllabus
    • Grading
    • Get Tableau software
    • Guohou, your instructor
    • Gradebook
  • Gradebook

Grading

The assessment of the course consists of six components. The components have the following weights.

Item Weight
Exams (3) 40%
Assignment 1 and 2 (individual) 30%
Group project 3 (group) 20%
Quizzes (10) 10%

Exams

There will be three exams during the semester.  The date of the first exam is September 29 and the date of the second exam is October 27. The final exam is scheduled for December 1.

Missed exams cannot be made up – if you are ill you need to let the instructor know immediately, before the exam to make alternative arrangements.

You may not arrive late for exams.  If you are late, you cannot take the exam.

Assignments

There will be three mandatory assignments.

Individual projects are to be completed without consulting your fellow students and they should represent your own work. A group project should reflect the work of your group, but no one else.

Assignment Type Due
1. Analyze a Data Set Using Tableau Individual 10/13
2. Cleaning a Data Set Individual 11/10
3. Final group project Group 12/6

Participation and quizzes

You are expected to participate actively the learning process.

Prepare for each class

Carefully read the assigned material prior to each class. You may find it helpful to take notes on the major points of each reading, noting how the readings for the session relate to each other.

Most Tuesdays there will be a short pre-class quiz, taken online according to the course schedule. The quiz will cover all readings to be discussed that week. Your instructor will provide the link to the quiz through a post on the course website.

You must complete the quiz by yourself strictly before the start of class. It is ‘open book’ – you can use the readings to take the quiz.

Participate during classes

We will typically start each session with opening questions about the assigned readings. Students called on to answer should be able to summarize the key issues, opportunities, and challenges in the reading. All students should be prepared to answer these questions.

While you’re not expected to say something in every single class meeting, simply showing up for a class does not qualify as participation.

Submission deadlines and grading

Weekly quizzes are due strictly before the session starts on Monday. Submissions after the session has started receive no credit.

All other assignment submissions are due by the end of the day.

OVERALL GRADING SCALE

Scale

Letter

93-100 A
90-92 A-
87-89 B+
83-86 B
80-82 B-
77-79 C+
73-76 C
70-72 C-
67-69 D+
63-66 D
60-62 D-
Below 60 F

LATE SUBMISSION POLICY

No late deliverables will be accepted without penalty; note that equipment failure is not an acceptable reason for turning in a deliverable late.

Assignments

Assignments will be assessed with a 20% penalty deducted from the assignment’s score for each day starting the assignment is late (i.e., if you are just one minute late, you will lose 20% of your score).

Weekly quizzes

Missed or late quiz submissions will receive a zero grade.

If you submit the quiz more than once, only the oldest one submitted will count (i.e., the original submission).

Primary Sidebar

LECTURE RECORDINGS

Recordings are as follows.

14th week 11/29/2022
12/1/2022
13th week 11/15/2022 11/17/2022
12th week 11/08/2022 11/10/2022
11th week 11/01/2022 11/03/2022
10th week 10/25/2022
10/27/2022
9th week 10/18/2022 10/20/2022
8th week 10/11/2022 10/13/2022
7th week 10/04/2022 10/06/2022
6th week 09/27/2022
09/29/2022
5th week 09/20/2022 09/22/2022
4th week 09/13/2022 09/15/2022
3rd week 09/06/2022 09/08/2022
2nd week 08/30/2022 09/01/2022
1st week 08/23/2022 08/25/2022

RECENT ANNOUNCEMENTS

  • Week 13 Summary
  • Week13 Prep and Week12 Summary
  • Week12 Prep and Week11 Summary
  • Week10 Prep and Week9 Summary
  • Week9 Prep and Week8 Summary
  • Week8 Prep and Week7 Summary
  • Week6 Exam and Week5 Summary
  • Week5 Quiz and Week4 Summary
  • Week4 Quiz and Week3 Summary
  • Week3 Quiz and Week2 Summary
  • Week2 Quiz and Week1 Summary

  • Video for part6 in-class-activity0915
  • Video recap for in-class-activity0913
  • Data visualization
  • Assessing the Trustworthiness of Data
  • Welcome to MIS0855 Data Science!
  • Teaching Team

    Guohou (Jack) Shan (Instructor)
    guohou.shan@temple.edu

    I am available to meet students on Tuesday (3:30 pm – 4:30 pm) at Speakman 208E. I will also hold virtual office hours from 1-3 pm on Monday and Friday (4 pm – 5 pm) over zoom (https://temple.zoom.us/j/2292311746).  If the time is not convenient for you, please send me an email.

    Anna M Boykis (Information Technology Assistant)
    anna.boykis@temple.edu

    Email Anna to arrange a meeting.

    GREAT DATA SITES

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Pew Research Data
  • US Government Open Data
  • OpenDataPhilly
  • Copyright © 2025 · Department of Management Information Systems · Fox School of Business · Temple University