About this Course
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Beginner Level

Approx. 16 hours to complete

Suggested: 4 weeks, 3-4 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 16 hours to complete

Suggested: 4 weeks, 3-4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

What are Ethics?

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 Quiz20m
1 hour to complete

History, Concept of Informed Consent

4 videos (Total 33 min), 1 quiz
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 Quiz20m
1 hour to complete

Data Ownership

5 videos (Total 28 min), 1 quiz
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 Quiz20m
Week
2
2 hours to complete

Privacy

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 Quiz20m
1 hour to complete

Anonymity

4 videos (Total 26 min), 1 quiz
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 Quiz20m
Week
3
2 hours to complete

Data Validity

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 Quiz20m
1 hour to complete

Algorithmic Fairness

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 Quiz20m
Week
4
1 hour to complete

Societal Consequences

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 Quiz20m
3 hours to complete

Code of Ethics

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 Quiz10m
1 hour to complete

Attributions

4 readings
4 readings
Week 1 Attributions10m
Week 2 Attributions10m
Week 3 Attributions10m
Week 4 Attributions10m
4.6
38 ReviewsChevron Right

Top reviews from Data Science Ethics

By LAJun 27th 2019

I really enjoyed the material and the way it was presented. Even though I am not new to the topic, still more avenues and perspectives were supported with very good examples. Very refreshing.

By AYMar 18th 2019

Absolutely delightful to have Professor Jagadish walking us through the course. The course was informative and very stimulating. Opens up to a new world of data science ethics. Thank you!

Instructor

Avatar

H.V. Jagadish

Bernard A Galler Collegiate Professor
Electrical Engineering and Computer Science

About University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.