GEOL 593

Spring 2024 All Classes

All Classes

Advanced Studies in Geology

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Credit: 1 TO 8 hours.

Work may be taken in the following fields: (a) general geology; Field trip fee may be required for this section. (b) engineering geology; (c) geomorphology and glacial geology; (d) clay mineralogy; (e) ground-water geology; (f) geomicrobiology; (g) geological fluid dynamics; (h) mineralogy and crystallography; (i) paleontology; (j) geochemistry: (k) geophysics; (l) petrography and petrology; (m) sedimentology; (n) stratigraphy; (o) oceanography; (p) submarine geology; (q) structural geology and geotectonics; (r) mathematical geology; (s) sedimentary petrography; (t) petroleum geology; (u) coal geology; (v) isotope geology and geochronology; (w) electron beam analysis; (x) vulcanology; (y) environmental geology; and (z) planetology.

Additional fees may apply. See Class Schedule. Approved for both letter and S/U grading. May be repeated.

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GEOL 593 class schedule data for spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
10267	Independent Study		ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 01/16/24-05/01/24 Special Approval: Instructor Approval Required
49030	Lecture-Discussion	A1	1:00PM -3:20PM	F	2084 Natural History Building	Conroy, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: Scientific Revolu in Earth Sci Section Info: This class will explore the scientific method in the earth sciences, how dominant paradigms were developed in different earth science sub-disciplines, and how current earth science research operates in the context of these paradigms. Students will read and lead weekly discussions of “The Structure of Scientific Revolutions” by Thomas Kuhn. They will then identify and present foundational papers in the earth science discipline of their choice and analyze these works in the context of Kuhn’s phases of paradigm change. 3 credit hours. Standard letter graded.
75654	Lecture-Discussion	R1	12:30PM -1:50PM	TR	2020B Natural History Building	Proistosescu, C	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Statistics & Machine Learning Section Info: This course will provide students with data science tools directly applicable to graduate research in Earth and Environmental Sciences. Students will learn how to use data in order to produce estimates, draw inferences, and make predictions. The main topics covered will be: 1. Inferential statistics: parameter estimation and hypothesis testing; 2. Machine learning approaches to prediction; 3. Analysis of spatio-temporal data and 4. Model-data fusion. Emphasis will be placed on mixing conceptual understanding with practical applications, rather than rigorous mathematical treatment. Methods will be introduced using idealized synthetic data to help build intuition, then immediately applied to observations and measurements. For each topic, as well for their final project, students will have the option of using a variety of different geological, atmospheric, oceanographic, and environmental datasets and models. Prerequisites: Basic calculus and linear algebra. Basic Programming experience in either Python (preferred), Matlab, or R. Contact instructor if you have any questions about prerequisites. Undergraduate students interested in taking the course should contact the instructor. Standard Letter Graded. 4 Credit Hours. Restriction(s): Restricted to Graduate - Urbana-Champaign.