NRES 512

Fall 2023 All Classes

All Classes

Discussions in NRES

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Credit: 1 TO 2 hours.

Discussion of recent developments and current literature in natural resources and environmental sciences, with a term-long emphasis on a particular aspect of the subject matter.

Approved for Letter and S/U grading. May be repeated to a maximum of 4 hours.

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NRES 512 class schedule data for fall 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
63221	Conference	DAB	12:00PM -12:50PM	F	W223 Turner Hall	Ward, M	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 1 hours Section Title: Discussions in Avian Biology
55300	Conference	GR	1:00PM -2:50PM	R	Location Pending	Stickley, S	Part of Term: B Date Range: 10/16/23-12/06/23 Credit: 1 hours Section Title: Geospatial Research Section Info: METHODS AND TRENDS IN GEOSPATIAL RESEARCH: In this course, important or trending topics in geospatial research will be discussed and relevant applications or code will be demonstrated to learn about different approaches to solving geospatial issues. This course meets October 12 - December 7. Class will meet in N-120 Turner Hall.
71072	Discussion/ Recitation	INH	4:00PM -4:50PM	T	Location Pending	Jog, S	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 1 hours Section Title: INHS Graduate Seminar Section Info: Exposure to current research and specialized topics in field biology, natural resources, and environmental sciences through attending/viewing, and participating through questions in the Illinois Natural History Survey seminar series. 1 graduate hour; no professional credit. Approved for S/U grading only. May be repeated. This course will meet in Forbes Natural History Building Room 1005.
63989	Online	IRP	3:00PM -5:00PM	M	n.a.	Dreslik, M Jesper, A Kessler, E	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 2 hours Section Title: Introduction to R Programming Section Info: INTRODUCTION TO R PROGRAMMING FOR NATURAL RESOURCES GRADUATE STUDENTS: The R programming language has grown in popularity and utility and is rapidly becoming a necessity for statistical analyses because it is freely available, open-source, and has a large community generating content. Our seminar course will introduce graduate students to basic programming in R with the end goal for students to have intermediate fluency in the language so they can begin to visualize and analyze their own data. Restriction(s): Restricted to Graduate - Urbana-Champaign.
59938	Conference	RS	3:00PM -5:00PM	T	W223 Turner Hall	Yannarell, T	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 2 hours Section Title: Rethinking Stats Reading Group Section Info: Students will learn a flexible and general approach to statistical modeling using Bayesian inference and generalized, multi-level modeling. This course will help students gain practical computing skills by means of extensive, hands-on coding exercises in R and through weekly discussion and help sessions. Restriction(s): Restricted to Graduate - Urbana-Champaign.