All Courses(A-Z)
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 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
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
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.
Course Code
CS 483
Course Name
Applied Parallel Programming
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
Parallel programming with emphasis on developing applications for processors with many computation cores. Computational thinking, forms of parallelism, programming models, mapping computations to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms, and application case studies. 4 graduate hours. Prerequisite: ECE 220.
Course Code
ECE 408
Course Name
Applied Parallel Programming
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
Chan Kuan Yoow
2020/2021 Fall Winter
蔡童姜
2018/2019 Spring Summer
Lumetta, Steven
Introduction
Parallel programming with emphasis on developing applications for processors with many computation cores. Computational thinking, forms of parallelism, programming models, mapping computations to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms, and application case studies. Same as CS 483 and CSE 408. 4 undergraduate hours. 4 graduate hours. Prerequisite: ECE 220.
Course Code
CS 440
Course Name
Artificial Intelligence
Credit
3.0 - 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
Major topics in and directions of research in artificial intelligence: basic problem solving techniques, knowledge representation and computer inference, machine learning, natural language understanding, computer vision, robotics, and societal impacts. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: CS 225.
Course Code
ECE 448
Course Name
Artificial Intelligence
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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2020/2021 Fall Winter
王宏伟
2019/2020 Fall Winter
王宏伟
Introduction
Major topics in and directions of research in artificial intelligence: basic problem solving techniques, knowledge representation and computer inference, machine learning, natural language understanding, computer vision, robotics, and societal impacts. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: CS 225.