2 classes matched your search criteria.
GEOG 8980 is also offered in Fall 2024
GEOG 8980 is also offered in Spring 2024
GEOG 8980 is also offered in Spring 2023
GEOG 8980 is also offered in Spring 2022
GEOG 8980 is also offered in Fall 2021
Spring 2024 | GEOG 8980 Section 001: Topics: Geography -- Feminist Geographies: Theories, Methods and Praxis (67961)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Repeat Credit Limit:
- 30 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
Topics Course
- Times and Locations:
Regular Academic Session
UMTC, West Bank
Social Sciences Building 448
- Enrollment Status:
Open (5 of 12 seats filled)
- Also Offered:
- Course Catalog Description:
- Seminar offered by visiting or regular faculty. Topics vary with interests of faculty. prereq: instr consent
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/67961/1243
Spring 2024 | GEOG 8980 Section 002: Topics: Geography -- Geospatial Artificial Intelligence (67962)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Repeat Credit Limit:
- 30 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
Topics Course
- Times and Locations:
Regular Academic Session
UMTC, West Bank
Social Sciences Building 360
- Enrollment Status:
Open (2 of 12 seats filled)
- Also Offered:
- Course Catalog Description:
- Seminar offered by visiting or regular faculty. Topics vary with interests of faculty. prereq: instr consent
- Class Description:
In the past decades, machine/deep learning has become one of the most successful techniques in studying data patterns thanks to the increasing power of modern computations. Geographers also endeavor to contribute by introducing techniques from GIS and spatiotemporal analysis to solve challenging issues facing human-environment systems. Geospatial Artificial Intelligence (GeoAI) is an emerging cross-discipline that integrates machine/deep learning techniques for geographical knowledge discovery. This course aims at outlining the latest trends, successes, challenges, and opportunities in GeoAI. During this course students will:
- read selective papers regarding computational neural networks, deep learning, and GeoAI.
- share and discuss insights on theories, methods, and applications of GeoAI via seminars and informal chats.
- conduct a group project in the field of GeoAI.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/67962/1243
- Instructor Supplied Information Last Updated:
- 16 November 2021
ClassInfo Links - Spring 2024 Geography Classes