American People, Places, & Environments
GEOG 254
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.
Analog Signal Processing
ECE 210
Course Code
ECE 210
Credit
4.0 - 4.0
Course Name
Analog Signal Processing
Introduction
<p>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.</p>
Anthro in a changing world
ANTH 103
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
Applied Machine Learning
CS 498AML
Course Code
CS 498AML
Credit
3.0 - 3.0
Course Name
Applied Machine Learning
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.
Applied Parallel Programming
CS 483
Course Code
CS 483
Credit
4.0 - 4.0
Course Name
Applied Parallel Programming
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.
Applied Parallel Programming
ECE 408
Course Code
ECE 408
Credit
4.0 - 4.0
Course Name
Applied Parallel Programming
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.
Artificial Intelligence
CS 440
Course Code
CS 440
Credit
3.0 - 4.0
Course Name
Artificial Intelligence
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.
Artificial Intelligence
ECE 448
Course Code
ECE 448
Credit
3.0 - 3.0
Course Name
Artificial Intelligence
Introduction
<p>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.</p>
Asian Families in America
SOCW 297
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:
Basic Discrete Mathematics
MATH 213
Course Code
MATH 213
Credit
3.0 - 3.0
Course Name
Basic Discrete Mathematics
Introduction
Beginning course on discrete mathematics, including sets and relations, functions, basic counting techniques, recurrence relations, graphs and trees, and matrix algebra; emphasis throughout is on algorithms and their efficacy.
Credit is not given for both MATH 213 and CS 173. Prerequisite: MATH 220 or MATH 221, or equivalent.