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Fundamental principles and analytical techniques necessary in the planning, management and optimization of forest operations. Formulation of objectives and constraints, yield forecasting, forest regulation, procurement and marketing, inventory methods, and management plan preparation. Written and oral reporting.

Prerequisite: FOR 304, ¹ó°¿¸éÌý319, FOR 374

Typically offered in Fall only

Survey of economic concepts applied to management decisions. Competition. Market power. The firm, production, and cost. Pricing practices. Output. Market success. Market failure. Restricted to MBA students.

Typically offered in Fall, Spring, and Summer

In the current business environment, familiarity with and appreciation of finance is essential to career success. Technically competent managers must be able to speak the common language of business and to understand how their work affects the performance of their organization. The objective of this course is to provide practitioners in technical fields the financial know-how to plan, control and make decisions that achieve organizational performance excellence. The class includes both individual and collaborative (team) learning. An engineering, technical or scientific undergraduate degree is required.

Typically offered in Fall and Spring

An introduction to the R programming environment geared towards the biological sciences. Topics include installation & software setup, programming, and data exploration & analysis, with heavy focus on data visualization [graphics] within R. Students will learn analyses with a focus on shareability and reproducibility within the context of a project or mini projects. Students may bring their own data and use-case datasets will be available as well. Upon completion of the course, students will be prepared to extend their contextual programming skills and understanding into future work involving data science and AI pipelines with a greater understanding of the underlying processes. Although examples focus on biological contexts, learners from all fields are welcome to bring their background knowledge and extend their understanding. [Skill-based prerequisites]: Familiarity with biology and biological research, or research/background knowledge in a field of interest.

Typically offered in Fall and Spring