6 classes matched your search criteria.

Fall 2023  |  PSY 5036W Section 001: Computational Vision (30983)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Mon, Wed 09:45AM - 11:00AM
UMTC, East Bank
Elliott Hall N227
Enrollment Status:
Open (5 of 16 seats filled)
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control. prereq: [[3031 or 3051], [Math 1272 or equiv]] or instr consent
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/30983/1239
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2021  |  PSY 5036W Section 001: Computational Vision (22727)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Mon, Wed 08:45AM - 10:00AM
UMTC, East Bank
Elliott Hall S204
Enrollment Status:
Open (12 of 20 seats filled)
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control. prereq: [[3031 or 3051], [Math 1272 or equiv]] or instr consent
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/22727/1219
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2019  |  PSY 5036W Section 001: Computational Vision (31792)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Mon, Wed 08:45AM - 10:00AM
UMTC, East Bank
Elliott Hall N227
Enrollment Status:
Open (9 of 20 seats filled)
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control. prereq: [[3031 or 3051], [Math 1272 or equiv]] or instr consent
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/31792/1199
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2017  |  PSY 5036W Section 001: Computational Vision (34952)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Mon, Wed 08:15AM - 09:30AM
UMTC, East Bank
Elliott Hall N668
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control. prereq: [[3031 or 3051], [Math 1272 or equiv]] or instr consent
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/34952/1179
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2015  |  PSY 5036W Section 001: Computational Vision (34359)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Mon, Wed 09:45AM - 11:00AM
UMTC, East Bank
Elliott Hall N227
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control. prereq: [[3031 or 3051], [Math 1272 or equiv]] or instr consent
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/34359/1159
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2013  |  PSY 5036W Section 001: Computational Vision (33885)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Mon, Wed 09:45AM - 11:00AM
UMTC, East Bank
Elliott Hall S160
Also Offered:
Course Catalog Description:
Applications of psychology, neuroscience, computer science to design principles underlying visual perception, visual cognition, action. Compares biological/physical processing of images with respect to image formation, perceptual organization, object perception, recognition, navigation, motor control.
Class Description:
One of the great mysteries of psychology and brain science is how the human visual system determines what and where objects are just by looking. This is the problem of vision. The perception of what is out there in the world is accomplished continually, instantaneously and usually without conscious thought. The very effortlessness of perception disguises the underlying difficulty of the problem. Vision is important because it is one of the principle routes to our acquisition of knowledge, as well as a guide to its utilization. The study of vision has attracted researchers from many disciplines outside of psychology, including computer science, mathematics, physics, engineering, and neuroscience. This class takes a multi-disciplinary approach to vision, combining lectures and interactive computer programming exercises to learn how the visual system functions. Prerequisites: Experience with calculus, linear algebra and programming is useful. Text: Wandell, B. A. (1995). Foundations of Vision. Sunderland, Massachusetts: Sinauer. The programming assignments will use the Mathematica programming environment. No prior experience with Mathematica is necessary.
Grading:
Other Grading Information: There will be a mid-term, final examination, programming assignments, as well as a final project. Weighting: Homework/programming : 28% , Mid-term examination 16%, Final examination: 16% Final project : 40% (three parts: 2%+5%+33%)
Textbooks:
https://bookstores.umn.edu/course-lookup/33885/1139
Instructor Supplied Information Last Updated:
21 May 2007

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