<p>Subject offerings of new and developing areas of knowledge in civil and environmental engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.</p>

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

Lectures and discussions relating to new areas of interest.

<p>Subject offerings of new and developing areas of knowledge in mechanical engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. 0 to 4 undergraduate hours. 0 to 4 graduate hours. May be repeated in the same or separate terms if topics vary to a maximum of 9 hours.</p>

Special Topics in Civil Engineering

Under the overall framework of World Cinema, this course takes some classic works and latest films in the film history of the second half of the 20th century as examples, focusing on the frontier theory and practice of the development of the world cinema in the past two decades. In this course, the achievements of these practices and theories are divided into seven categories, namely, seven special topics.

The sociological analysis of sport in modern societies with regard to social class, politics, community, education, and collective behavior. Students must register for one discussion and one lecture section. This course satisfies the General Education Criteria for: Social & Beh Sci - Soc Sci

Forces, moments, and couples; resultants of force systems; equilibrium analysis and free-body diagrams; analysis of forces acting on members of trusses, frames, etc.; shear-force and bending-moment distributions; Coulomb friction; centroids, center of mass, moment of inertia, polar moment of inertia, and product of inertia; virtual work; hydrostatic pressure; applications of statics in design. Credit is not given for both TAM 211 and TAM 210. Prerequisite: PHYS 211; credit or concurrent registration in MATH 241.

Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.

The objective of this course is to provide the students the basic knowledge of the statistical language R. Then they can use R to solve some specific economics or financial problem. We’ll cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You will learn a powerful interface of R which is called “R Markdown”. We will also introduce how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.