All Courses(A-Z)
Course Code
STAT 448
Course Name
Advanced Data Analysis
Credit
4.0 - 4.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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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
Course Name
Advanced Spoken EnglishⅠ
Credit
1.5 - 1.5
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Holmes,Robert
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
Course Name
Advanced Spoken EnglishⅡ
Credit
1.5 - 1.5
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
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
GEOG 254
Course Name
American People, Places, & Environments
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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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
ECE 211
Course Name
Analog Circuits and Systems
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
周闻宇
2019/2020 Spring Summer
Xu Yang
Introduction
Concepts from circuit and system analysis: linear systems; review of elementary circuit analysis; op amps; transient analysis; differential equation models of linear circuits and systems; Laplace transform. Credit is not given for both ECE 211 and ECE 210. Prerequisite: ECE 110 and PHYS 212; credit or concurrent registration in MATH 285 or MATH 286.
Course Code
ECE 210
Course Name
Analog Signal Processing
Credit
4.0 - 4.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
阎述良
2019/2020 Spring Summer
Xu Yang
2019/2020 Fall Winter
Xu Yang
2018/2019 Spring Summer
Jin Jianming
2017/2018 Spring Summer
Munir Ali, Xu Yang
Introduction
Analog signal processing, with an emphasis on underlying concepts from circuit and system analysis: linear systems; review of elementary circuit analysis; differential equation models of linear circuits and systems; Laplace transform; convolution; stability; phasors; frequency response; Fourier series; Fourier transform; active filters; AM radio. Credit is not given for both ECE 210 and ECE 211. Prerequisite: ECE 110 and PHYS 212. Students must register for one lab and one lecture section.
Course Code
IE 300
Course Name
Analysis of Data
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
Nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; control charts, acceptance sampling, and measurement theory. Credit is not given for both IE 300 and CEE 202. Prerequisite: MATH 241.
Course Code
ANTH 103
Course Name
Anthro in a changing world
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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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
Course Name
Applied Linear Algebra
Credit
4.0 - 4.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
蓝天宇, 姜凯, 张宇, 孙冠荣, 蒋天骄, 王地, 李志远, 叶亚金, 楼恒阳, 钱锋
2020/2021 Fall Winter
Dokuchaev, Nikolai
2019/2020 Spring Summer
李宾宾
2019/2020 Fall Winter
李宾宾
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
CS 498AML
Course Name
Applied Machine Learning
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
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. 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.