2 classes matched your search criteria.

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
 
09/03/2024 - 12/02/2024
Thu, Fri 01:25PM - 02:50PM
UMTC, West Bank
Walter F. Mondale Hall 55
 
12/03/2024 - 12/04/2024
Tue, Wed 01:25PM - 02:50PM
UMTC, West Bank
Walter F. Mondale Hall 55
Enrollment Status:
Closed (5 of 5 seats filled)
Also Offered:
Course Catalog Description:
Selected topics.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/32744/1249

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:
Second Half of Term
 
10/22/2024 - 12/11/2024
Tue 08:15AM - 11:00AM
Off Campus
UMN REMOTE
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

To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5290&term=1249
To see a URL-only list for use in the Faculty Center URL fields, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5290&term=1249&url=1
To see this page output as XML, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5290&term=1249&xml=1
To see this page output as JSON, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5290&term=1249&json=1
To see this page output as CSV, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5290&term=1249&csv=1
Schedule Viewer
8 am
9 am
10 am
11 am
12 pm
1 pm
2 pm
3 pm
4 pm
5 pm
6 pm
7 pm
8 pm
9 pm
10 pm
s
m
t
w
t
f
s
?
Class Title