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¸£Àû±ÆÕ¾ Catalog 2025-2026

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Participatory Sciences (Certificate)

/graduate/interdisciplinary/participatory-sciences/

...and Web Scraping 1 DSC 406 Exploratory Data Analysis for Big Data 1 DSC 412...

FOR 406 Forest Inventory, Analysis and Planning

¹ó°¿¸éÌý406ÌýÌýForest Inventory, Analysis and PlanningÌýÌý(4 credit hours)ÌýÌý

Independent project in designing and implementing a multi-resource survey; analyze stand conditions; forecast growth, yield and revenue of timber and forest products; use programming to prepare a long-term management plan subject to economic, social, and ecological constraints; assess economic and environmental impacts of potential actions; and report results orally and in writing.

Prerequisite: FOR 374 and ¹ó°¿¸éÌý405 and ±·¸éÌý460

Typically offered in Spring only

DSA 406 Exploratory Data Analysis for Big Data

¶Ù³§´¡Ìý406ÌýÌýExploratory Data Analysis for Big DataÌýÌý(1 credit hours)ÌýÌý

Exploratory data analysis (EDA) focuses on summarizing the main characteristics of data sets, often using visualization methods. The goal is not formal modeling or hypothesis testing, but understanding and exploring data to formulate hypotheses for further investigation. Students will use techniques of EDA and generalize those approaches to large data sets. Prerequisite skills and knowledge: Students should enter the course with some basic programming experience, such as experience using and familiarity with R or Python.

Typically offered in Fall, Spring, and Summer