Arika Ligmann-Zielinska (Instructor) - Grade Details
(with breakdown by course)
Arika Ligmann-Zielinska - All Courses
Average Grade - 3.095
Median Grade - 3.5
Latest grades from Spring 2024
Arika Ligmann-Zielinska - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| GEO 325 | Average Grade - 2.800 Median Grade - 3.0 |
70 | Fall 2012 | |
| GEO 221 | Average Grade - 3.062 Median Grade - 3.5 |
1816 | Fall 2023 | |
| ESP 850 | Average Grade - 3.882 Median Grade - 4.0 |
38 | Fall 2023 | |
| GEO 869 | Average Grade - 3.847 Median Grade - 4.0 |
62 | Spring 2022 | |
| GEO 425 | Average Grade - 3.636 Median Grade - 4.0 |
11 | Spring 2024 |
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ESP 850 - Introduction to Environmental and Social Systems Modeling
Theoretical background of diverse modeling problems in complex environmental systems. Diverse modeling approaches to most appropriate modeling tools in a variety of contexts.
Average Grade - 3.882
Median Grade - 4.0
Latest grades from Fall 2023
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GEO 221 - Introduction to Geographic Information
Principles and methods of spatial data collection, handling, analysis, and display. Introduction to remote sensing, geographic information systems, and cartography.
Average Grade - 3.062
Median Grade - 3.5
Latest grades from Fall 2023
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GEO 325 - Geographic Information Systems
Technical and theoretical issues in the design, implementation, and use of geographic information systems for research and applications.
Average Grade - 2.800
Median Grade - 3.0
Latest grades from Fall 2012
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GEO 425 - Problems in Geographic Information Science (W)
Advanced theoretical and technical issues in geographic information science utilizing a problems oriented approach. Development and implementation of geographic information science solutions and formal documentation of work.
Average Grade - 3.636
Median Grade - 4.0
Latest grades from Spring 2024
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GEO 869 - Agent-Based Modeling
Theoretical concepts related to simulating dynamic geographic phenomena in the intersection between human and natural systems. Innovative agent-based methodology applied to complex social-environmental systems. Hands-on experience of agent-based modeling, with special emphasis on modeling human decision-making and its impact on the natural environment.
Average Grade - 3.847
Median Grade - 4.0
Latest grades from Spring 2022
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