Data Science and AI for Everyone
An introduction for any major to what data science and AI are, the tools behind them, how they're used across industry and academia, and the ethical questions they raise.
How data science and artificial intelligence are used in industry and academia: what they’re about, the terms and tools practitioners use, and real-world applications. No programming background is required.
Students will gain:
- a basic understanding of the goals of AI and data science;
- familiarity with selected tools and techniques, and how they’re applied across domains;
- an understanding of the data science lifecycle;
- an understanding of the ethical issues around AI and data science.
Structure. The first half of the semester (about seven weeks) covers data science, with four labs and four writing assignments. The second half covers artificial intelligence, with one lab and six writing assignments. Classes mix readings, discussion, videos and lectures.
Grading: quizzes 40% · assignments 60%.