All Courses(A-Z)
Course Code
CEE 195
Credit
3.0 - 3.0
Course Name
About Civil Engineering
Introduction
Civil engineering orientation including historical developments, education requirements, relation to science, professional practice, and specialties within the profession.
Course Code
STAT 448
Credit
4.0 - 4.0
Course Name
Advanced Data Analysis
Introduction
Several of the most widely used techniques of data analysis are discussed with an emphasis on statistical computing. Topics include linear regression, analysis of variance, generalized linear models, and analysis of categorical data. In addition, an introduction to data mining is provided considering classification, model building, decision trees, and cluster analysis. Same as CSE 448. 4 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400 or STAT 409, and credit for or concurrent registration in STAT 410.
Course Code
ENGL2001
Credit
1.5 - 1.5
Course Name
Advanced Spoken EnglishⅠ
Introduction
This is a spoken English language course. The major learning objective of this course is to enhance the spoken English proficiency of undergraduate students to support their participation in international studies (e.g., the ZJU-UIUC study abroad program). A broader objective is to improve students’ success in standardized assessments required for participation in overseas study. This course focuses on developing spoken communicative competence and awareness of successful strategies for clear meaning making.
Course Code
ENGL2002
Credit
1.5 - 1.5
Course Name
Advanced Spoken EnglishⅡ
Introduction
<p>This is a spoken English language course. The major learning objective of this course is to enhance the spoken English proficiency of undergraduate students to support their participation in international studies (e.g., the ZJU-UIUC study abroad program). A broader objective is to improve students’ success in standardized assessments required for participation in overseas study. This course focuses on developing spoken communicative competence and awareness of successful strategies for clear meaning making.</p>
Course Code
GEOG 254
Credit
3.0 - 3.0
Course Name
American People, Places, & Environments
Introduction
Students will broaden their understanding of how the United States' physical and human geography interact to produce unique cultural landscapes. Covers a dozen different regions of the U.S., exploring the significant spatial patterns and processes, built and natural environments, and social, economic, and cultural landscapes of each. Focuses on the experiences of minority cultures in the U.S. through specific themes that vary by semester, including: environmental justice, memory and memorials, music, and food. Same as ESE 254.
Course Code
ANTH 103
Credit
3.0 - 3.0
Course Name
Anthro in a changing world
Introduction
Presents the fundamental areas of anthropological analysis through a series of comparative cases that emphasize social and cultural relations in global contexts. Directs attention to the anthropological history of global empires and colonial states, their cultural exchanges, and contemporary studies of culture, society, and globalization. This course satisfies the General Education Criteria for: Cultural Studies - Non-West Social & Beh Sci - Soc Sci
Course Code
MATH 415
Credit
4.0 - 4.0
Course Name
Applied Linear Algebra
Introduction
Introductory course emphasizing techniques of linear algebra with applications to engineering; topics include matrix operations, determinants, linear equations, vector spaces, linear transformations, eigenvalues, and eigenvectors, inner products and norms, orthogonality, equilibrium, and linear dynamical systems.
Course Code
SOCW 297
Credit
3.0 - 3.0
Course Name
Asian Families in America
Introduction
Offers a comparative analysis of Asian families as they cope and adapt to American society. Examines: 1) how families from four major Asian-American groups (Chinese, Indian, Japanese and Korean) function in American society; 2) how these families compare to families in their country of origin; and 3) how these families are similar to or different from the 'typical American' family. Includes visits to Asian cultural institutions and with Asian families. Same as AAS 297 and HDFS 221. This course satisfies the General Education Criteria for:
Course Code
STAT 432
Credit
3.0 - 3.0
Course Name
Basics of Statistical Learning
Introduction
<p>Topics in supervised and unsupervised learning are covered, including logistic regression, support vector machines, classification trees and nonparametric regression. Model building and feature selection are discussed for these techniques, with a focus on regularization methods, such as lasso and ridge regression, as well as methods for model selection and assessment using cross validation. Cluster analysis and principal components analysis are introduced as examples of unsupervised learning. Same as ASRM 451. 3 undergraduate hours. 4 graduate hours.
Course Code
MUS 106
Credit
2.0 - 2.0
Course Name
Beginning Composition
Introduction
Class instruction in contemporary compositional practice at the beginning stages.