Course Search
Displaying 11 - 20 of 375
Fall 2020
BIO 698 Thesis Research
Credits: 1-6
Description: This course involves thesis research and preparation. It may be repeated for credit, but no more than six credits will apply to the degree. Enrollment is required each term in which the thesis is in progress. Cr 1-6.
Sections
Class Number: 48618
Instructor(s):
Douglas A Currie
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
Class Number: 48619
Instructor(s):
Rachel Lasley-Rasher
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
Class Number: 48620
Instructor(s):
Kenneth E Weber
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
Class Number: 48621
Instructor(s):
Joseph K Staples
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
Class Number: 50357
Instructor(s):
Ira A Levine
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
Class Number: 51865
Instructor(s):
Catherine Miller
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Portland USM Campus |
CON 556 Concepts in Community Health for MS Option Students
Credits: 3
Description: This course introduces the concepts and principles basic to the development and maintenance of the community's health. The epidemiological process guides the survey of current major health issues. The course focuses on the health issues of groups in the community at local, state, national, and global levels. Cr 3.
Sections
Class Number: 48957
Instructor(s):
Judy Bradberry
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
N/A | Online Class | Web/On-line |
Class Number: 48958
Instructor(s):
Marcia Goldenberg
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
M 9:30 AM - 12:15 PM | Online-Live (See Notes) | Web/On-line |
Class Number: 48959
Instructor(s):
Marcia Goldenberg
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
T 8:00 AM - 10:45 AM | Online-Live (See Notes) | Web/On-line |
COS 532 Deep Learning
Credits: 4
Prerequisite(s): Prerequisite: Graduate Standing
Description: An introduction to the theory and applications of deep learning. Topics include basic neural networks, convolutional and recurrent networks, and applications in computer vision and language interpretation. Students will learn to design neural network architectures and training procedures via hands-on assignments. Prerequisite: graduate standing. Cr 4.
Sections
Class Number: 51028
Instructor(s):
Bruce B MacLeod
Dates: 8/31/2020 - 12/11/2020
Days & Times | Room | Location |
---|---|---|
MW 11:00 AM - 12:15 PM | Online-Live (See Notes) | Web/On-line |
M 12:30 PM - 1:20 PM | Online-Live (See Notes) | Web/On-line |