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Quantitative Decision Analysis

Builds basic skills in decision theory and the use of analytical tools to support the decision analysis process

â–� Introduction to Structured Decision Making, ALC3171

â–� Adaptive Management: Structured Decision Making for Recurrent Decisions, ALC3176

â–� Decision Analysis: Tools, ALC3191

Choose from a series of electives

Facilitative Decision Analysis

Builds basic skills in decision theory with a focus on facilitating decision analysis

â–� Introduction to Structured Decision Making, ALC3171

â–� Decision Analysis:  Elicitation and Facilitation, ALC3190

â–� Collaboration and Conflict Transformation in Multiparty Process, ALC3199

Choose from a series of electives

Quantitative Fisheries

Gain tools in analysis of fish and fisheries data for population assessment and evaluation of alternative management strategies.

â–� Introduction to R, CSP4201

â–� Introduction to Population Modeling, CSP3156b

â–� Fish Population Dynamics and Assessment, CSP2300

Fish Sampling

Gain practical knowledge and skills in deploying gear for improved sampling data.

â–� Principles and Techniques of Electrofishing (in-person or online), CSP2201 or CSP2c01

â–� Fish Sampling Techniques, (Online, Field, Lab, and Classroom), CSP2204

â–� Electrofishing Sampling Advanced Practicum, CSP2203

Habitat Restoration & Management

Build skills in plant identification and in aquatic and upland habitat assessment, restoration and management.

â–� Wetland Plant Identification, CSP3107

â–� Field Techniques for Invasive Plant Management, CLM2139

â–� Stream Habitat Measurement Techniques, CSP3200

â–� Applied Fluvial Geomorphology, CSP3210

â–� Forest Ecology and Management, CSP2110

â–� River Morphology and Applications, CSP3310

â–� Wetland Assessment, Restoration and Management, CSP3106

â–� Advanced Plant Identification: Grasses, Sedges, Rushes and Composites, CSP3130

Status and Trend Assessment Pathway

Builds abilities to develop efficient sampling designs and perform analyses to estimate population attributes (e.g., abundance) at a location and over time.

â–� Making Sense of Biological Data with R, CSP4200

â–� Data Wrangling with R, CSP1004

â–� or Introduction to R, CSP4201

â–� Statistical Modeling for Conservation, CSP4210

â–� Design and Analysis of Biological Monitoring, CSP4230

Species Distribution Modeling and Conservation Design Pathway

Builds skills to develop and/or implement models identifying species-habitat relationships and important conservation areas.

â–� Data Wrangling with R, CSP1004

â–� Making Sense of Biological Data with R, CSP4200

â–� or Introduction to R, CSP4201

â–� Statistical Modeling for Conservation, CSP4210

â–� Species Distribution Modeling, CSP4220

â–� Occupancy Modeling, CSP4141

Data Manipulation Analysis

Become proficient in data handling and an array of common approaches to analyzing biological data. Foundation for monitoring and distribution modeling

â–� Introduction to R, CSP4201

â–� or Data Wrangling with R, CSP1004

â–� Making Sense of Biological Data with R, CSP4200

â–� Statistical Modeling for Conservation, CSP4210