About this Course

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Beginner Level
Approx. 11 hours to complete
English

What you will learn

  • Define and discuss big data opportunities and limitations.

  • Work with IBM Watson and analyze a personality through Natural Language Programming (NLP).

  • Examine how AI is used through case studies.

  • Examine and discuss the roles ethics play in AI and big data.

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. 11 hours to complete
English

Offered by

Placeholder

University of California, Davis

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(1,041 ratings)Info
Week
1

Week 1

3 hours to complete

Getting Started and Big Data Opportunities

3 hours to complete
10 videos (Total 94 min), 3 readings, 1 quiz
10 videos
Course Introduction6m
Big Data Overview2m
What is "Big Data"?14m
Digital Footprint5m
Political Data-fusion and No-Sampling (Part 1)14m
Political Data-fusion and No-Sampling (Part 2)3m
Real-time11m
Machine Learning5m
Machine Learning Recommender Systems11m
3 readings
About UCCSS10m
A Note From UC Davis10m
Optional/Complementary10m
1 practice exercise
Module 1 Quiz30m
Week
2

Week 2

3 hours to complete

Big Data Limitations

3 hours to complete
8 videos (Total 52 min), 1 reading, 3 quizzes
8 videos
Big Data Limitations2m
Footprint ≠ Representativeness10m
Data ≠ Reality6m
Meaning ≠ Meaningful4m
Discrimination ≠ Personalization8m
Correlation ≠ Causation6m
Past ≠ Future10m
1 reading
Welcome to Peer Review Assignments!10m
2 practice exercises
Natural Language Processing (NLP) Assignment Task5m
Module 2 Quiz30m
Week
3

Week 3

3 hours to complete

Artificial Intelligence

3 hours to complete
15 videos (Total 105 min), 1 reading, 1 quiz
15 videos
A Short History of AI9m
State of the Art5m
The Most Intelligent Gamer4m
Search and Robotics7m
Vision and Machine Learning6m
AI Challenges3m
Moral Frames7m
Predictions From Morals6m
Moral Brain Signatures6m
Computational fMRI11m
(A Personal) History of Dialogue Systems6m
The Art of Dialogue10m
Making Conversations10m
AI Telling Stories7m
1 reading
Optional/Complementary10m
1 practice exercise
Module 3 Quiz30m
Week
4

Week 4

2 hours to complete

Research Ethics

2 hours to complete
13 videos (Total 105 min), 1 reading, 1 quiz
13 videos
Origins: Unethical Medical Research8m
Unethical Social Research10m
Taking Responsibility12m
The Common Rule8m
Ethical Computational Social Science10m
Concerns of an AI Pioneer5m
Walker on Ethics10m
Shelton on Ethics7m
Language Acquisition (Complementary)6m
Modeling Framework (Complementary)9m
Computational Model (Complementary)6m
Lessons Learned (Complementary)6m
1 reading
Slaughterbots10m
1 practice exercise
Module 4 Quiz30m

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About the Computational Social Science Specialization

Computational Social Science

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