NRES 512

Fall 2023 Part of Term 1

Part of Term 1
Aug 21-Dec 6

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.

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
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.
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