HS 741 - Interdisciplinary Problem Solving
Winter 2021, Section 002 - Police use tools like facial recognition and predictive algorithms to track, identify, and arrest people despite evidence the technology is flawed and disparately impacts people of color. Use of such tools poses a danger to privacy and contributes to mass incarceration of Black people. Multi-disciplinary teams will meet stakeholders, learn how police use technology to monitor and target, acquire problem solving skills, and apply insights from social work, law, policy, information, and other fields to develop solutions to reduce targeted surveillance of Black Detroiters.
Instruction Mode: Section 002 is  Online (see other Sections below)
Subject: Health Sciences (HS)
Department: School of Nursing
See additional student enrollment and course instructor information to guide you in your decision making.

Description

"Interdisciplinary Problem Solving" is a course offered at the Law School through the Problem Solving Initiative (PSI). (https://problemsolving.law.umich.edu/) Through a team-based, experiential, and interdisciplinary learning model, small groups of U-M graduate and professional students work with faculty to explore and offer solutions to emerging, complex problems.

Schedule

HS 741 - Interdisciplinary Problem Solving
Schedule Listing
001 (LAB)
 Online
33172
Closed
0
 
-
Tu 3:15PM - 6:30PM
Note: This class is an interdisciplinary problem solving class offered at the Law School through the Problem Solving Initiative (PSI). Human-caused climate change is happening, and it is projected to accelerate at an unprecedented pace. As they attempt to adapt to climate change, governments and private entities face an array of legal and practical hurdles. In this class, multi-disciplinary student teams will study the science and law of climate change and the challenges presented by adaptation science and practice. Students will focus on approaches that integrate science, policy, law, and other fields. They will incorporate stakeholder and expert input, apply problem solving tools, and develop responsive solutions. This class is open to all University of Michigan graduate and professional students. Please note: Non-Law students are responsible for checking with their own schools, colleges, or units to learn if a PSI class will count toward graduation or other departmental requirements. Non-law graduate/professional students may apply for the course using the PSI application system (https://problemsolving.law.umich.edu/) November 2-15, 2020. After the initial application period, students seeking to apply can contact problemsolving@umich.edu.
002 (LAB)
 Online
33180
Closed
0
 
-
W 3:15PM - 6:30PM
Note: This class is an interdisciplinary problem solving class offered at the Law School through the Problem Solving Initiative (PSI). Police use tools like facial recognition and predictive algorithms to track, identify, and arrest people despite evidence the technology is flawed and disparately impacts people of color. Use of such tools poses a danger to privacy and contributes to mass incarceration of Black people. Multi-disciplinary teams will meet stakeholders, learn how police use technology to monitor and target, acquire problem solving skills, and apply insights from social work, law, policy, information, and other fields to develop solutions to reduce targeted surveillance of Black Detroiters. This class is open to all University of Michigan graduate and professional students. Please note: Non-Law students are responsible for checking with their own schools, colleges, or units to learn if a PSI class will count toward graduation or other departmental requirements. Non-law graduate/professional students may apply for the course using the PSI application system (https://problemsolving.law.umich.edu/) November 2-15, 2020. After the initial application period, students seeking to apply can contact problemsolving@umich.edu.
003 (LAB)
 Online
33188
Closed
0
 
-
W 3:15PM - 6:30PM
Note: This class is an interdisciplinary problem solving class offered at the Law School through the Problem Solving Initiative (PSI). Responsibility for aging public infrastructure has shifted from collectives to individuals and from public to private actors, greatly impacting access to opportunities, health outcomes, and family stability of the most vulnerable populations. Funding, policy, and programming mechanisms for repair, maintenance, access, and innovation in mobility systems will be explored with a focus on low-income communities in SE Michigan. Multidisciplinary student teams will learn from stakeholders and experts, apply problem solving tools, and learn about changing mobility and transport infrastructures. This class is open to all University of Michigan graduate and professional students. Please note: Non-Law students are responsible for checking with their own schools, colleges, or units to learn if a PSI class will count toward graduation or other departmental requirements. Non-law graduate/professional students may apply for the course using the PSI application system (https://problemsolving.law.umich.edu/) November 2-15, 2020. After the initial application period, students seeking to apply can contact problemsolving@umich.edu.

Textbooks/Other Materials

The partner U-M / Barnes & Noble Education textbook website is the official way for U-M students to view their upcoming textbook or course material needs, whether they choose to buy from Barnes & Noble Education or not. Students also can view a customized list of their specific textbook needs by clicking a "View/Buy Textbooks" link in their course schedule in Wolverine Access.

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)