University of Louisiana at Lafayette
Search results: 815
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- Teacher: Amadou Ouedraogo
Category: Modern Languages

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- Teacher: Caroline Matkin
Category: Biology and Microbiology
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- Teacher: Kelly Bixby
Category: Music
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- Teacher: Daniel DiCaprio
Category: Visual Arts
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- Teacher: Jamie Baldridge
Category: Visual Arts
CMPS 455 Sp 2026 UG and Graduate
- Teacher: Tytiana James
- Teacher: Ashok Kumar
- Teacher: Jess Marin
- Teacher: Thirumala Maheswara Reddy Yenumula
Category: Computer Science

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- Teacher: Tamara Lindner
Category: Modern Languages
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- Teacher: Andi Petculescu
Category: Physics

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- Teacher: Arun Kulshreshth
- Teacher: Roberto Salazar Rodriguez
Category: Computer Science
Graphical and numerical descriptive measures. Introduction to correlation and regression. Basic probability concepts, random variables, sampling distributions, central limit theorem. Large and small sample confidence intervals and significance tests for parameters associated with a single population and for comparison of two populations.
- Teacher: James Berry
- Teacher: Joshua Fontenot
- Teacher: Bruce Wade
- Teacher: Minusha Wijesekara Kankanamge
Category: Mathematics
Graphical and numerical descriptive measures. Introduction to correlation and regression. Basic probability concepts, random variables, sampling distributions, central limit theorem. Large and small sample confidence intervals and significance tests for parameters associated with a single population and for comparison of two populations.
- Teacher: James Berry
- Teacher: Joshua Fontenot
- Teacher: Md Sajedul Islam
- Teacher: James Kimball
- Teacher: Bruce Wade
Category: Mathematics
Graphical and numerical descriptive measures. Introduction to correlation and regression. Basic probability concepts, random variables, sampling distributions, central limit theorem. Large and small sample confidence intervals and significance tests for parameters associated with a single population and for comparison of two populations.
- Teacher: James Berry
- Teacher: Joshua Fontenot
- Teacher: Md Sajedul Islam
- Teacher: James Kimball
- Teacher: Bruce Wade
Category: Mathematics
This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.
- Teacher: Allison Cointot
Category: Mathematics
Least squares, curve fitting, stepwise and multiple regression, response surfaces, correlation analysis, nonlinear regression, use of statistical software packages.
- Teacher: Mo Li
Category: Mathematics
Sufficient statistics, completeness, bounds of variance for estimators, invariance, UMP tests, general linear hypothesis, confidence ellipsoids, multiple comparisons and decision problems, sequential analysis.
- Teacher: Kalimuthu Krishnamoorthy
Category: Mathematics
- Teacher: Christoph Borst
- Teacher: Li Chen
- Teacher: Sheng Chen
- Teacher: Shuvalaxmi Dass
- Teacher: Frank Ducrest
- Teacher: Taylor Gossen
- Teacher: Shari Hinkel
- Teacher: MD Aminul Islam
- Teacher: Winona Istre
- Teacher: Miao Jin
- Teacher: Arun Kulshreshth
- Teacher: Ashok Kumar
- Teacher: Arun Lakhotia
- Teacher: Nicholas Lipari
- Teacher: Martin Margala
- Teacher: Robert Minvielle
- Teacher: Mohammadhassan Najafi
- Teacher: Yitoshee Rahman
- Teacher: Anthony Triche
- Teacher: Nianfeng Tzeng
- Teacher: Beth Wilson
- Teacher: Andrew Wise
- Teacher: Jason Woodworth
Category: Auto Enrolled Courses
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- Teacher: Michelle Jeanis
Category: Psychology

Many of the most important buildings, objects, and ideas in design history are located in or near Florence—from Brunelleschi’s dome to the latest hyper-car from Ferrari. This sketch and analysis course will allow you to see, to study, and to engage these critical works of design through daily sketching assignments. Many of the most world’s most renowned designers once did the same; learning to be designers by analyzing the most important design artifacts in history—the buildings, objects, and ideas that have been most influential to design. What better way to learn about design than to spend six weeks experiencing, first-hand, the most incredible design artifacts in the world? What better way to learn how to draw than to practice daily? In the great tradition of the ‘Grand Tour’, we will visit, draw, and analyze the great works of Florence, and in doing so, learn how to design with confidence.
- Teacher: Thomas Cline
- Teacher: Sarah Young
Category: Architecture

How do we understand the objects, buildings, and the ideas that we associate with design? What does it mean to be a designer and, as designers, how do we craft artifacts that exemplify Vitruvius’ call for utility, durability, and beauty? In this course, students will explore the reasons why some objects and buildings have had a lasting impact through readings and discussions of some of the most significant writings on craft and its relationship to design. Because the buildings and objects of design are best experienced in person, our discussions will take place in the buildings, museums, and workshops that best illustrate the ideas from our readings; the Galleria dell’Accademia, the Uffizi Gallery, the Museo Galileo, Brunelleschi’s Duomo, the Vespa Museum, and several others. This is a companion course to DSGN 471G – Field Analysis and it is strongly recommended that the two courses be taken together.
- Teacher: Thomas Cline
- Teacher: Sarah Young
Category: Architecture
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- Teacher: Patricia Lanier
Category: Management