5 classes matched your search criteria.
Fall 2020 | GEOG 8292 Section 001: Seminar in GIS: Spatial Analysis and Modeling (33179)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session09/08/2020 - 12/16/2020Mon 01:00PM - 03:30PMUMTC, West BankBlegen Hall 415
- Enrollment Status:
- Open (4 of 12 seats filled)
- Course Catalog Description:
- Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or instr consent
- Class Description:
- Overview. Spatial analysis and modeling involves the use of mathematical and computational methods in conjunction with spatial data to explore explore human and environmental systems. This course is a standard seminar focused on readings, a student-led presentations, and a final paper. NOTE: The Fall 2020 offering focuses on urban mobility and accessibility. Topics covered includes the classic transportation planning models, sustainable mobility, trajectory data mining, time geography and space-time accessibility, and recent topics in health and urban environment. The methods to be introduced include optimization, logit model, visual exploratory analysis, spatial data mining, stochastic modeling as well as functions and tools in GIS (using ArcPro).
- Learning Objectives:
- Get familiar with main-stream models in studying and modeling urban mobility and accessibility as well as state-of-art methods in the field.
- Grading:
- 30% Reading Assignment and Class Participation
20% Lab Exercises
50% Semester Project See course website for detailed information. - Exam Format:
- No exam.
- Class Format:
- 70% Discussion20% Lab Exercises
10% Student Presentations - Workload:
- 50 pages reading per week - (3 reflective essays; 2-3 pages each; 1 essay every 2-3 weeks)
1 individual project/proposal - (2 progress report; 1 final report; 1 oral presentation)4 lab exercises - (5 questions each lab to report the progress and discuss the results). - Textbooks:
- https://bookstores.umn.edu/course-lookup/33179/1209
- Instructor Supplied Information Last Updated:
- 21 April 2020
Fall 2017 | GEOG 8292 Section 001: Seminar in GIS: Spatial Analysis and Modeling (35601)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session09/05/2017 - 12/13/2017Tue 04:00PM - 06:30PMUMTC, West BankSocial Sciences Building 360
- Course Catalog Description:
- Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or instr consent
- Class Description:
- Overview. Spatial analysis and modeling involves the use of mathematical and computational methods in conjunction with spatial data to explore explore human and environmental systems. This course is a standard seminar focused on readings, a student-led presentations, and a final paper. NOTE: The Spring 2011 offering focuses on agent-based modeling of human and environmental systems. Students. Students in this course come from across the social, natural, and information sciences with no clear majority in any one area. This distribution makes for a lively meeting of the minds. Purpose. This course expands on aspects of GIS, statistics, and modeling covered by introductory or advanced GIS classes. It provides an overview of a variety of techniques used in spatial analysis and modeling, not only examining their technical nature but also their larger conceptual dimensions and societal ramifications. Prerequisites. In keeping with the prerequisites, students should be proficient in GIS. Students may also find it helpful, but not necessary, to have some background in statistics, calculus, and probability theory.
- Grading:
- 64% Reports/Papers
17% Attendance
17% In-class Presentations Other Grading Information: See course website for more information. - Class Format:
- 70% Discussion
30% Student Presentations - Workload:
- 50 Pages Reading Per Week
30 Pages Writing Per Term
1 Paper(s)
1 Presentation(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/35601/1179
- Instructor Supplied Information Last Updated:
- 16 November 2010
Spring 2017 | GEOG 8292 Section 001: Seminar in GIS: Spatial Analysis and Modeling (53304)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/17/2017 - 05/05/2017Tue 02:30PM - 05:00PMUMTC, West BankBlegen Hall 455
- Course Catalog Description:
- Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or instr consent
- Class Description:
- Overview. Spatial analysis and modeling involves the use of mathematical and computational methods in conjunction with spatial data to explore explore human and environmental systems. This course is a standard seminar focused on readings, a student-led presentations, and a final paper. NOTE: The Spring 2011 offering focuses on agent-based modeling of human and environmental systems. Students. Students in this course come from across the social, natural, and information sciences with no clear majority in any one area. This distribution makes for a lively meeting of the minds. Purpose. This course expands on aspects of GIS, statistics, and modeling covered by introductory or advanced GIS classes. It provides an overview of a variety of techniques used in spatial analysis and modeling, not only examining their technical nature but also their larger conceptual dimensions and societal ramifications. Prerequisites. In keeping with the prerequisites, students should be proficient in GIS. Students may also find it helpful, but not necessary, to have some background in statistics, calculus, and probability theory.
- Grading:
- 64% Reports/Papers
17% Attendance
17% In-class Presentations Other Grading Information: See course website for more information. - Class Format:
- 70% Discussion
30% Student Presentations - Workload:
- 50 Pages Reading Per Week
30 Pages Writing Per Term
1 Paper(s)
1 Presentation(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/53304/1173
- Instructor Supplied Information Last Updated:
- 16 November 2010
Spring 2016 | GEOG 8292 Section 001: Seminar in GIS: Spatial Analysis and Modeling (69847)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/19/2016 - 05/06/2016Thu 02:30PM - 05:00PMUMTC, East BankHubert H Humphrey Center 15
- Course Catalog Description:
- Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or instr consent
- Class Description:
- Overview. Spatial analysis and modeling involves the use of mathematical and computational methods in conjunction with spatial data to explore explore human and environmental systems. This course is a standard seminar focused on readings, a student-led presentations, and a final paper. NOTE: The Spring 2011 offering focuses on agent-based modeling of human and environmental systems. Students. Students in this course come from across the social, natural, and information sciences with no clear majority in any one area. This distribution makes for a lively meeting of the minds. Purpose. This course expands on aspects of GIS, statistics, and modeling covered by introductory or advanced GIS classes. It provides an overview of a variety of techniques used in spatial analysis and modeling, not only examining their technical nature but also their larger conceptual dimensions and societal ramifications. Prerequisites. In keeping with the prerequisites, students should be proficient in GIS. Students may also find it helpful, but not necessary, to have some background in statistics, calculus, and probability theory.
- Grading:
- 64% Reports/Papers
17% Attendance
17% In-class Presentations Other Grading Information: See course website for more information. - Class Format:
- 70% Discussion
30% Student Presentations - Workload:
- 50 Pages Reading Per Week
30 Pages Writing Per Term
1 Paper(s)
1 Presentation(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/69847/1163
- Instructor Supplied Information Last Updated:
- 16 November 2010
Spring 2013 | GEOG 8292 Section 001: Seminar in GIS: Spatial Analysis and Modeling (57397)
- Instructor(s)
- Martin Swobodzinski
- Class Component:
- Seminar
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- Regular Academic Session01/22/2013 - 05/10/2013Tue 09:30AM - 12:00PMUMTC, West BankVirtual Rooms ROOM-TBA
- Course Catalog Description:
- Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research.
- Class Notes:
- Will meet in SocSci 478
- Class Description:
- Overview. Spatial analysis and modeling involves the use of mathematical and computational methods in conjunction with spatial data to explore explore human and environmental systems. This course is a standard seminar focused on readings, a student-led presentations, and a final paper. NOTE: The Spring 2011 offering focuses on agent-based modeling of human and environmental systems. Students. Students in this course come from across the social, natural, and information sciences with no clear majority in any one area. This distribution makes for a lively meeting of the minds. Purpose. This course expands on aspects of GIS, statistics, and modeling covered by introductory or advanced GIS classes. It provides an overview of a variety of techniques used in spatial analysis and modeling, not only examining their technical nature but also their larger conceptual dimensions and societal ramifications. Prerequisites. In keeping with the prerequisites, students should be proficient in GIS. Students may also find it helpful, but not necessary, to have some background in statistics, calculus, and probability theory.
- Grading:
- 64% Reports/Papers
17% Attendance
17% In-class Presentations Other Grading Information: See course website for more information. - Class Format:
- 70% Discussion
30% Student Presentations - Workload:
- 50 Pages Reading Per Week
30 Pages Writing Per Term
1 Paper(s)
1 Presentation(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/57397/1133
- Instructor Supplied Information Last Updated:
- 16 November 2010
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