Registration: CSE 490/590 T – Intelligent Machinery, Identity, and Ethics
CSE 490/590 T – Intelligent Machinery, Identity, and Ethics is a rich, interdisciplinary course on the past, present, and future of intelligence, both natural and artificial. The early lectures detail the history of computing, and the way it dovetails with the history of neuroscience, the industrial revolution, math and philosophy. The middle section will zoom out to consider the role of computing and intelligence in natural and evolutionary processes, as well as its role in redefining, augmenting, and sometimes harming individuals and society. ML Fairness and, more broadly AI ethics are part of this picture. In the final third, the course will explore some of the future implications of large-scale trends and emerging capabilities. Continue reading
GRDSCH 515 A (SLN 14821) – Teaching & Learning in Higher Education: Frameworks & Practices
Designed for graduate students seeking to build knowledge and skills in effective teaching practices. Continue reading
IMT 556 A (SLN 15260) – Information and Operational Risk
Topics covered in this course include the parameters of operational risk; integrating operational risk and business process frameworks; the role of corporate governance, the role of technology and business process decisions; and the role of information in operational risk management. The course includes practical applications of operational risk frameworks, using real world examples where the intersection of people, processes, systems, and external events can lead to unexpected financial loss — easiest to identify in major disasters such as Japan’s Sendai earthquake, the Equifax data breach, the Uber saga, the Volkswagen emissions scandal, or even the 9/11 destruction of the World Trade Center. Continue reading
COM 597 A (SLN 12419) – Interviewing for Social Research
Matthew Powers (Associate Prof., Communication) will offer a 5-credit graduate seminar, COM 597 A “Interviewing for Social Research” this spring on MW from 10:30 a.m. to 12:20 p.m.
“Interviewing for Social Research” is a methods class that introduces students to the strategies, issues and challenges associated with conducting interview-based research. Students will learn by doing: weekly exercises will help class members to design, develop, conduct, analyze and write-up an interview-based study. Course readings will immerse students in key debates regarding the use of interviews in social research.
Below is a tentative plan for the terrain Matt will cover over the 10 week quarter. The syllabus is still being made, but they are happy to share it with anyone when it’s complete.
- Week 1: Course Overview, Identify RQ for quarter
- Week 2: Validity and reliability in interview research
- Week 3: Ethics and IRB
- Week 4: Recruitment & sampling strategies
- Week 5: Preparing for interviews
- Week 6: Conducting interviews
- Week 7: Issues that arise during interviews
- Week 8: Preparing and organizing interview data
- Week 9: Analyzing interview data
- Week 10: Reporting interview data
If you have questions, please email the instructor at email@example.com.
LIS 598 H (SLN 16268): Information Beyond Borders: Designing for Resilience
Engage with the world in spring quarter: INFX 598 Designing for Resilience. Join Prof Karen Fisher, 5-year embedded field researcher with UNHCR on the Syrian border, as you learn about information worlds in conflict zones and how information and technology can support human relationships and resilience. Taught online, the class takes a global perspective to understand borders, conflict, vulnerability, power, community, and security. Join the class this spring!