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This course is designed to introduce computational methods used for power grid operation and planning. The course will help students understand the various computational methods that form the basis of major commercial software packages used by grid analysts and operators. Students are expected to have some basic understanding of principles of power system analysis including power system models, power flow calculation, economic dispatch, reliable and stability analysis. The course covers the following computational methods commonly used in power grid operation and planning: Locational Marginal Pricing Schemes, Game Theory, Unconstrained Optimization, Linear Programming, Non-linear Constrained Optimization, and Forecasting Methods.

Prerequisite: ·¡°ä·¡Ìý451 or ·¡°ä·¡Ìý550

Typically offered in Spring only

Principles and applications of remote sensing technology to earth resources and environmental studies. Electromagnetic energy, data acquisition platforms, sensors and scanners, processing of digital remotely sensed data, error analysis and accuracyassessments, and integration of remotely sensed data with other data types used in natural resource management.

Prerequisite: ¹ó°¿¸éÌý353

Typically offered in Fall only

This course is offered alternate years

Understand the purposed and uses of school data for research-based school improvement. Understand different types of assessment needed for school and district-wide improvement. Develop models of administrative decision making incorporating key goals, resources, curriculum alignment, data, assessment, and evaluation. Doctoral student status required.

Typically offered in Spring only