These pathways suggest a progression of courses to help you gain proficiency in a subject area.
Level 1 | Level 2 | Level 3 | |
Quantitative Decision AnalysisBuilds basic skills in decision theory and the use of analytical tools to support the decision analysis process |
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■ Adaptive Management: Structured Decision Making for Recurrent Decisions, ALC3176 |
Choose from a series of electives |
Facilitative Decision AnalysisBuilds basic skills in decision theory with a focus on facilitating decision analysis |
■ Introduction to Structured Decision Making, ALC3171 ■ Decision Analysis for Climate Change, ALC3196 (may be substituted as an online option) |
■ Decision Analysis: Elicitation and Facilitation, ALC3190 ■ Collaboration and Conflict Transformation in Multiparty Process, ALC3199 |
Choose from a series of electives |
Level 1 | Level 2 | Level 3 | |
Quantitative FisheriesGain tools in analysis of fish and fisheries data for population assessment and evaluation of alternative management strategies. |
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Fish SamplingGain practical knowledge and skills in deploying gear for improved sampling data. |
■ Principles and Techniques of Electrofishing (in-person or online), CSP2201 or CSP2c01 |
■ Fish Sampling Techniques, (Online, Field, Lab, and Classroom), CSP2204 |
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Level 1 | Level 2 | Level 3 | |
Habitat Restoration & ManagementBuild skills in plant identification and in aquatic and upland habitat assessment, restoration and management. |
■ Wetland Plant Identification, CSP3107 ■ Field Techniques for Invasive Plant Management, CLM2139 ■ Stream Habitat Measurement Techniques, CSP3200 |
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■ Advanced Plant Identification: Grasses, Sedges, Rushes and Composites, CSP3130 |
Level 1 | Level 2 | Level 3 | |
Status and Trend Assessment PathwayBuilds abilities to develop efficient sampling designs and perform analyses to estimate population attributes (e.g., abundance) at a location and over time. |
■ Making Sense of Biological Data with R, CSP4200 |
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Species Distribution Modeling and Conservation Design PathwayBuilds skills to develop and/or implement models identifying species-habitat relationships and important conservation areas. |
■ Data Wrangling with R, CSP1004 |
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■ Species Distribution Modeling, CSP4220 ■ Occupancy Modeling, CSP4141 |
Data Manipulation AnalysisBecome proficient in data handling and an array of common approaches to analyzing biological data. Foundation for monitoring and distribution modeling |
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