Peter Yiğitcan Washington

Peter Yiğitcan Washington

Assistant Professor

Teaching

ICS 491: Human-Centered Data Science

Undergraduate course, ICS Department, University of Hawaiʻi at Mānoa, 2023

There are several challenges that arise when working with human data, including privacy, fairness, ethics, and new modeling methods - to name just a few. Human-Centered Data Science is a course which covers the human-facing aspects of data science. This course discusses methods developed specifically for the analysis of biological, medical, social, text, and audiovisual data. As such, this course will cover the basics of biomedical informatics, health informatics, social network informatics, media analytics, and natural language processing. These topics require a thorough discussion of study design, research study analysis, privacy-preserving analysis, unbiased analysis, explainable analysis, qualitative analysis, and ethical tradeoffs between analysis decisions. No prior data science knowledge is required.

ICS 435/635: Machine Learning

Undergraduate and graduate course, ICS Department, University of Hawaiʻi at Mānoa, 2023

This is a mathematics and programming heavy introduction to machine learning. Topics include machine learning programming in Python, classical machine learning methods, and an introduction to deep learning. Coursework consists of 5 homeworks (combination of written and Python coding problems), an in-class midterm, a final exam, and a final project.

ICS 691D: Human-Centered Artificial Intelligence

Graduate course, ICS Department, University of Hawaiʻi at Mānoa, 2022

This is a discussion-based course covering the latest research in human-centered artificial intelligence (HAI). Topics covered include: interactive ML systems, explainable & interpretable ML, AI for healthcare, fairness & bias, privacy, crowdsourcing, HCI evaluations of AI-powered systems, and ethical frameworks applied to AI.