About this Course

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Beginner Level
Approx. 15 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 15 hours to complete
English

Offered by

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University of Michigan

Syllabus - What you will learn from this course

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Week
1

Week 1

2 hours to complete

What are Ethics?

2 hours to complete
4 videos (Total 21 min), 4 readings, 1 quiz
4 videos
What are Ethics?9m
Data Science Needs Ethics3m
Case Study: Spam (not the meat)4m
4 readings
Course Syllabus10m
Welcome Announcement10m
Help us learn more about you!10m
What are Ethics? - Introduction10m
1 practice exercise
Module 1 Quiz30m
1 hour to complete

History, Concept of Informed Consent

1 hour to complete
4 videos (Total 33 min)
4 videos
Human Subjects Research and Informed Consent: Part 28m
Limitations of Informed Consent9m
Case Study: It's Not OKCupid6m
1 practice exercise
Module 2 Quiz30m
1 hour to complete

Data Ownership

1 hour to complete
5 videos (Total 28 min)
5 videos
Limits on Recording and Use7m
Data Ownership Finale3m
Case Study: Rate My Professor3m
Case Study: Privacy After Bankruptcy2m
1 practice exercise
Module 3 Quiz30m
Week
2

Week 2

2 hours to complete

Privacy

2 hours to complete
7 videos (Total 53 min), 2 readings, 1 quiz
7 videos
History of Privacy15m
Degrees of Privacy10m
Modern Privacy Risks12m
Case Study: Targeted Ads3m
Case Study: The Naked Mile2m
Case Study: Sneaky Mobile Apps5m
2 readings
Privacy - Introduction10m
Module 4 Discussion Prompt References10m
1 practice exercise
Module 4 Quiz30m
1 hour to complete

Anonymity

1 hour to complete
4 videos (Total 26 min)
4 videos
De-identification Has Limited Value: Part 17m
De-identification Has Limited Value: Part 210m
Case Study: Credit Card Statements2m
1 practice exercise
Module 5 Quiz30m
Week
3

Week 3

2 hours to complete

Data Validity

2 hours to complete
10 videos (Total 60 min), 1 reading, 1 quiz
10 videos
Choice of Attributes and Measures6m
Errors in Data Processing8m
Errors in Model Design8m
Managing Change5m
Case Study: Three Blind Mice4m
Case Study: Algorithms and Race3m
Case Study: Algorithms in the Office3m
Case Study: GermanWings Crash5m
Case Study: Google Flu5m
1 reading
Data Validity - Introduction10m
1 practice exercise
Module 6 Quiz30m
2 hours to complete

Algorithmic Fairness

2 hours to complete
6 videos (Total 50 min), 1 reading, 1 quiz
6 videos
Correct But Misleading Results12m
P Hacking10m
Case Study: High Throughput Biology3m
Case Study: Geopricing2m
Case Study: Your Safety Is My Lost Income10m
1 reading
Algorithmic Fairness - Introduction10m
1 practice exercise
Module 7 Quiz30m
Week
4

Week 4

2 hours to complete

Societal Consequences

2 hours to complete
5 videos (Total 46 min), 1 reading, 1 quiz
5 videos
Ossification7m
Surveillance4m
Case Study: Social Credit Scores7m
Case Study: Predictive Policing8m
1 reading
Societal Consequences - Introduction10m
1 practice exercise
Module 8 Quiz30m
2 hours to complete

Code of Ethics

2 hours to complete
3 videos (Total 16 min), 1 reading, 2 quizzes
3 videos
Wrap Up2m
Case Study: Algorithms and Facial Recognition4m
1 reading
Post-Course Survey10m
1 practice exercise
Module 9 Quiz30m
1 hour to complete

Attributions

1 hour to complete
5 readings
5 readings
Week 1 Attributions10m
Week 2 Attributions10m
Week 3 Attributions10m
Week 4 Attributions10m
Keep Learning with Michigan Online10m

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