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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.750 ■ Spring 2024 ■ Lawrence Dignan
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Grading

  • ITEM

    WEIGHT

    Exams (3) 40%
    Assignments 1 & 2 (Individual) 30%
    Assignment 3 (Group Project) 20%
    Quizzes (10) 10%
       

    Exams

    There will be three exams during the semester.  The date of the first exam is Feb. 27 and the date of the second exam is April 3.  The final exam is scheduled for May 8. All exams will be on Canvas.  We start promptly at 5:30 p.m. Missed exams cannot be made up, regardless of the reason for absence.  You may not arrive late for exams. If you are late, you may not make the exam up.

    Late Deliverable Policy

    A deliverable (assignment or online quiz) is considered late if it is submitted after the beginning of class.  No late deliverables will be accepted without penalty, and equipment failure is not an acceptable reason for turning in a deliverable late.

    Assignments

    All assignments will be assessed a 20% penalty (subtracted from that assignment’s score) each day they are late. No credit will be given for assignments turned in more than three days past the due date.

    However, you must submit all assignments, even if no credit is given. If you skip an assignment, an additional 10 points will be subtracted from your final grade in the course. For example, if you do not turn in an assignment worth 5% of the course grade, you will receive no credit for that assignment plus a 10 point penalty, reducing your maximum grade in the course to an 85.

    Weekly Quizzes

    Missed or late quiz submissions will receive a zero grade. In addition, one point will be subtracted from your final course grade for every missing submission at the end of the semester.   If you submit the quiz more than once only the oldest one submitted will count (i.e. the original submission).

    You can miss one quiz without penalty; if you don’t miss any quizzes, your lowest quiz score will be dropped.

    Assignments

    There will be three assignments. Individual projects are to be completed without consulting your fellow students and they should represent your own work. Group projects should reflect the work of your group, but no one else. If you need help, you may consult with your instructor or the Information Technology Assistant (if applicable).

    #

    Assignment

    Type

    Due

    1 Analyze a Data Set Using Tableau Individual Feb. 11
    2 Cleaning a Data Set Individual March 17
    3 Group Data Analysis (Term Project) Group April 28

     

    Scale

    Letter

    94-100 A
    90-93 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

Primary Sidebar

RECENT ANNOUNCEMENTS

Study Guide for Exam 3 (Final Exam)

Here is the study guide for the third (final) exam. … [More...] about Study Guide for Exam 3 (Final Exam)

What you need to know about Week 13

Read the following Model Training with Machine Learning – Data … [More...] about What you need to know about Week 13

What you need to know for Week 12

Read the following: Feldman – 2013 – Techniques and applications for … [More...] about What you need to know for Week 12

Assignment 3: Final (Group) Project due April 26, presentations April 29

This is the team project. Here are the assignment instructions and grading … [More...] about Assignment 3: Final (Group) Project due April 26, presentations April 29

What you need to know about Week 11

Read the following.  CFI – Pivot Table Guide Durcevic – 2020 – Move … [More...] about What you need to know about Week 11

Study guide for Exam 2

Here is the study guide for the second exam, which will be held on Canvas … [More...] about Study guide for Exam 2

[More Announcements...]

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