2 classes matched your search criteria.
PA 5290 is also offered in Spring 2025
PA 5290 is also offered in Fall 2024
PA 5290 is also offered in Spring 2024
PA 5290 is also offered in Fall 2023
PA 5290 is also offered in Spring 2023
PA 5290 is also offered in Fall 2022
PA 5290 is also offered in Spring 2022
PA 5290 is also offered in Fall 2021
Fall 2024 | PA 5290 Section 001: Topics in Planning -- Twin Cities Regional Planning (32744)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Repeat Credit Limit:
- 12 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
Topics Course
- Enrollment Requirements:
- Grad or Masters or Law
- Meets With:
LAW 6031 Section 001
- Times and Locations:
Regular Academic Session
Thu,
Fri 01:25PM - 02:50PM
UMTC, West Bank
Walter F. Mondale Hall 55
Tue,
Wed 01:25PM - 02:50PM
UMTC, West Bank
Walter F. Mondale Hall 55
- Enrollment Status:
Open (2 of 5 seats filled)
- Also Offered:
Fall 2024 | PA 5290 Section 002: Topics in Planning -- FutureofUrban Spaces: Applying AI in City Planning (33017)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 1.5 Credits
- Repeat Credit Limit:
- 12 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
Topics Course
- Enrollment Requirements:
- Grad or Masters or Law
- Times and Locations:
- Enrollment Status:
Open (2 of 30 seats filled)
- Also Offered:
- Course Catalog Description:
- Selected topics.
- Class Notes:
- Class will be offered REMOTE (synchronously online during the scheduled time). The Future of Urban Spaces: Applying Artificial Intelligence in City Planning is an advanced course designed to bridge the gap between theoretical knowledge and practical application of AI in urban environments. Through a hands-on, project-based approach, students will explore how AI technologies can be leveraged to address complex urban challenges, enhance sustainability, and improve the quality of life in cities. The course covers various topics, including data management, GIS integration, predictive modeling, and ethical considerations in AI deployment. By engaging with real-world case studies and utilizing cutting-edge AI tools, students will emerge equipped to contribute to the innovative and responsible development of smart, future-ready urban spaces.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/33017/1249
ClassInfo Links - Fall 2024 Public Affairs Classes