Note: All readings will be finalized one week prior to when they are due (Midnight on the prior Wednesday). All readings posted here ahead of that timeline are for guidance purposes only.

Week 1: Introduction (March 29 + 31)

Note: This week will be an unusual one. We’ll be doing an an introduction to the course and a quick primer on societal context in addition to discussion on Friday

Discussion Leaders: Prof. Hecht

Friday:

Assignments:

Week 2: Sharing Economy (April 5 + 7)

Discussion Leaders: Prof. Hecht

Wednesday:

Friday:

Assignments:

  • Due Wednesday night: E-mail Prof. Hecht w/ final discussion leadership information (filter bubble people need to do this earlier).
  • Reading quiz: http://bit.ly/2p9xwoE.

Resources:

Week 3: The “Filter Bubble” (April 12 + 14)

Wednesday:

Friday:

Assignments:

Week 4: Algorithms and Bias (April 19 + 21)

Note: On 4/21 there will be a substitute “Prof. Hecht”. The real “Prof. Hecht” will be in Washington D.C. doing scientific service.

Wednesday

Friday

Week 5: Algorithms and #FakeNews (April 26 + 28)

Assignments

Optional Reading

Week 6: Algorithmic Management (May 3 + 5)

Week 7: Algorithms and Income Inequality [Part I] (May 10 + 12)

Discussion Leaders: Prof. Hecht

Note: No class on 5/10. Prof. Hecht (and a number of students) will be at ACM SIGCHI 2017 on 5/10. We will report back on the latest state-of-the-art in this area.

Friday:

Week 8: Algorithms and Income Inequality [Part II] (May 10 + 12)

Discussion Leaders: Prof. Hecht Note: Potentially no class on 5/17 due to AAAI ICWSM 2017

No additional reading relative to the prior week.

Week 9: Algorithmic Transparency (May 24 + 26)

Assignments:

  • Due Friday night: Your project status update! See the projects page for instructions and submission info.

Week 10: Algorithms, Privacy, and Security (May 31 + June 2)

Finals Week: Project Presentations

  • No reading