readings/cases. Students will purchase the course packet online via instructions posted on Canvas.
2.
All Excel assignments will be managed through a Pearson tool called MyITLab.
This tool must also be
purchased by students via instructions on Canvas.
This tool is how we will allow you to download/submit
Excel assignments and give you feedback so you can reattempt the assignments.
Required
Software
You will also need access to a recent version of Excel (
at least version 2013 for PC and 2011 for Mac
). If
you’re a UT-enrolled student you can purchase a license
for this software from the campus computer store in
2
the FAC for around $33. Here is a link:
.
NOTE: Use of
Open Office
,
Apple Numbers
, or
Google Sheets
is not endorsed at this time. If
purchasing Office is a problem you can use the lab computers
in libraries which some students using
Numbers and Google Docs did in past.
Grading Criteria
This course is based on a possible 1000 points with an additional 50 points available for extra credit.
•
10 Unit Quizzes = 300 Points (30%)
•
9 End-of-Unit Assessments = 350 Points (35%)
•
5 Course Assignments = 350 Points (35%)
•
Extra Credit Assignment #1 = 25 Points (optional)
•
Extra Credit Assignment #2 = 25 Points (optional)
Point Distribution
Unit Quizzes
Questions
Points
Unit 1 Quiz
10
30
Unit 2 Quiz
10
30
Unit 3 Quiz
10
30
Unit 4 Quiz
10
30
Unit 5 Quiz
20
30
Unit 6 Quiz
14
30
Unit 7 Quiz
10
30
Unit 8 Quiz
10
30
Unit 9 Quiz
10
30
Unit 10 Quiz
10
30
Unit Assessments
Points
Unit 1: Prompt: Driverless Cars *
25
Unit 2: Interactive Build, Buy, Rent?
50
Unit 3: Peer Exchange: Recommend a Product Strategy
25
Unit 4: Prompt: Describe a Company with a Security issue *
25
Unit 5: Interactive Google Analytics
50
Unit 6: Catalog Cross Selling Multiple Choice (6 questions)
50
Unit 7: Prompt: Social Network Analysis *
25
Unit 8: Zara Multiple Choice (7 questions)
50
Unit 9: Interactive Global Sourcing
50
Course Assignments
Points
Excel Assignment #1
50
Excel Assignment #2
70
Excel Assignment #3
90
Excel Assignment #4
90
SQL Assignment (auto-graded)
50
HTML Assignment (optional)
(80%/20% - split *)
25**
Data Mining Assignment (optional) (auto-graded)
25**
* 20% of the grade is based on doing a peer evaluation of randomly assigned peers.
80% of the grade is
based on a rubric that each peer will follow to grade your assignment.
That means you need to not only do
the assignment well but also participate in peer grading and giving feedback to one another.
** Points to be added to your total assignment points so technically you can earn up to 400 assignment pts
Course Grading Scale
From
To
Grade
GPA
93
100
A
4.00
90
92.99
A-
3.67
86
89.99
B+
3.33
83
85.99
B
3.00
80
82.99
B-
2.67
76
79.99
C+
2.33
73
75.99
C
2.00
70
72.99
C-
1.67
66
69.99
D+
1.33
63
65.99
D
1.00
60
62.99
D-
0.67
0
59.99
F
0.00
Please note that Canvas does not always take into account the proper grading polices, so you should not
just blindly trust the final grade you see in Canvas.
We recommend that you calculate your grade on your
own using Excel and the details about points listed above in this syllabus.
Simply add up the points you
have received on graded assignments and extra credit then divide by 1000.
It is your responsibility to
know your grade and raise questions if you have any before end of the class.
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- Fall '08
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- Data Mining, The Unit, Academic dishonesty, Harvard Business School
