COURSE | TITLE | EFF YEAR | EFF TERM | DEPARTMENT | CREDIT HOURS | ||||
EV377 | REMOTE SENSING | 2020 | 2 | Geography and Environmental Engineering | 3.0 (BS=1.0, ET=2.0, MA=0.0) | ||||
SCOPE | |||||||||
Remote Sensing is collecting information about something without being in physical contact with it. In this course, students will learn remote sensing principles that are applicable across engineering and humanities disciplines. The focus of the course is the electro-magnetic spectrum and how it is leveraged to collect information about a surface. Through lectures and practical exercises students will become familiar with different remote sensing applications, technologies, and the physical basis of satellite and aerial remote sensing. Pertinent to this study is a basic understanding of orbital mechanics, data analysis, and sensor design. The course will help students apply remotely sensed data to solve current problems. | |||||||||
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SPECIAL REQUIREMENTS: | |||||||||
None |
TYPE | COURSE | EFF YEAR | EFF TERM | TRACK | RED BOOK FLG |
PRE REQUISITE | |||||
EV203 | 2001 | 1 | 1 | Y | |
PH205 | 2019 | 2 | 1 | Y | |
EV203X | 2013 | 2 | 2 | Y | |
PH205 | 2019 | 2 | 2 | Y | |
EV203 | 2019 | 2 | 3 | Y | |
PH255 | 2019 | 2 | 3 | Y | |
EV203X | 2013 | 2 | 4 | Y | |
PH255 | 2019 | 2 | 4 | Y | |
EV203 | 2019 | 2 | 5 | Y | |
PH201X | 2022 | 1 | 5 | Y | |
EV203X | 2021 | 1 | 6 | Y | |
PH201X | 2022 | 1 | 6 | Y | |
EV203 | 2019 | 2 | 7 | Y | |
PH201 | 2023 | 1 | 7 | Y | |
EV203 | 2019 | 2 | 8 | Y | |
PH251 | 2023 | 1 | 8 | Y | |
EV203X | 2021 | 1 | 9 | Y | |
PH201 | 2023 | 1 | 9 | Y | |
EV203X | 2021 | 1 | 10 | Y | |
PH251 | 2023 | 1 | 10 | Y |
AYT | #SECT/SIZE | CPBLTY | ENRLD | WAIT | SEATS | CLOSED | DETAILS | ||
2025 - 1 | 3 | 19 | 57 | 56 | 0 | 1 | N | Hours | |
2025 - 8 | 1 | 18 | 18 | 1 | 0 | 17 | N | Hours | |
2026 - 1 | 3 | 20 | 60 | 58 | 2 | 2 | Y | Hours | |
2027 - 1 | 3 | 18 | 54 | 22 | 0 | 32 | N | Hours | |
2028 - 1 | 3 | 18 | 54 | 0 | 0 | 54 | N | Hours | |
COURSE | TITLE | EFF YEAR | EFF TERM | DEPARTMENT | CREDIT HOURS | ||||
EV377 | REMOTE SENSING | 2019 | 2 | Geography and Environmental Engineering | 3.0 (BS=1.0, ET=2.0, MA=0.0) | ||||
SCOPE | |||||||||
Remote Sensing is learning about something without touching it--the most obvious example being the use of satellites to study the Earth. EV377, a techniques course applicable to both the humanities and engineering, studies how and what types of information can be carried by the electromagnetic spectrum. Students enjoy a wide range of practical exercises which introduce them to several remote sensing systems to include conventional and color infrared photography, multispectral scanners, satellite imagery, thermal infrared, and radar. The capstone exercise offers each student the opportunity to perform real-time automated image classification using satellite data on his/her own micro-computer. The course focus is on applying remotely sensed data to solve current problems. | |||||||||
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|||||||||
SPECIAL REQUIREMENTS: | |||||||||
None |
TYPE | COURSE | EFF YEAR | EFF TERM | TRACK | RED BOOK FLG |
PRE REQUISITE | |||||
CS105 | 1990 | 1 | 1 | Y | |
EV203 | 2001 | 1 | 1 | Y | |
CS155 | 1990 | 1 | 2 | Y | |
EV203 | 2001 | 1 | 2 | Y | |
EV203 | 2003 | 1 | 3 | Y | |
IT105 | 2003 | 1 | 3 | Y | |
EV203 | 2003 | 1 | 4 | Y | |
IT155 | 2003 | 1 | 4 | Y | |
EV203X | 2013 | 2 | 5 | Y | |
IT105 | 2003 | 1 | 5 | Y |
COURSE | TITLE | EFF YEAR | EFF TERM | DEPARTMENT | CREDIT HOURS | ||||
EV377 | REMOTE SENSING | 2011 | 1 | Geography and Environmental Engineering | 3.0 (BS=1.0, ET=2.0, MA=0.0) | ||||
SCOPE | |||||||||
Remote Sensing is learning about something without touching it--the most obvious example being the use of satellites to study the Earth. EV377, a techniques course applicable to both the humanities and engineering, studies how and what types of information can be carried by the electromagnetic spectrum. Students enjoy a wide range of practical exercises which introduce them to several remote sensing systems to include conventional and color infrared photography, multispectral scanners, satellite imagery, thermal infrared, and radar. The capstone exercise offers each student the opportunity to perform real-time automated image classification using satellite data on his/her own micro-computer. The course focus is on applying remotely sensed data to solve current problems. | |||||||||
|
|||||||||
SPECIAL REQUIREMENTS: | |||||||||
None |
TYPE | COURSE | EFF YEAR | EFF TERM | TRACK | RED BOOK FLG |
PRE REQUISITE | |||||
CS105 | 1990 | 1 | 1 | Y | |
EV203 | 2001 | 1 | 1 | Y | |
CS155 | 1990 | 1 | 2 | Y | |
EV203 | 2001 | 1 | 2 | Y | |
EV203 | 2003 | 1 | 3 | Y | |
IT105 | 2003 | 1 | 3 | Y | |
EV203 | 2003 | 1 | 4 | Y | |
IT155 | 2003 | 1 | 4 | Y | |
EV203X | 2013 | 2 | 5 | Y | |
IT105 | 2003 | 1 | 5 | Y |
COURSE | TITLE | EFF YEAR | EFF TERM | DEPARTMENT | CREDIT HOURS | ||||
EV377 | REMOTE SENSING | 1980 | 1 | Geography and Environmental Engineering | 3.0 (BS=0.0, ET=3.0, MA=0.0) | ||||
SCOPE | |||||||||
Remote Sensing is learning about something without touching it--the most obvious example being the use of satellites to study the Earth. EV377, a techniques course applicable to both the humanities and engineering, studies how and what types of information can be carried by the electromagnetic spectrum. Students enjoy a wide range of practical exercises which introduce them to several remote sensing systems to include conventional and color infrared photography, multispectral scanners, satellite imagery, thermal infrared, and radar. The capstone exercise offers each student the opportunity to perform real-time automated image classification using satellite data on his/her own micro-computer. The course focus is on applying remotely sensed data to solve current problems. | |||||||||
|
|||||||||
SPECIAL REQUIREMENTS: | |||||||||
None |
TYPE | COURSE | EFF YEAR | EFF TERM | TRACK | RED BOOK FLG |
PRE REQUISITE | |||||
CS105 | 1990 | 1 | 1 | Y | |
EV203 | 2001 | 1 | 1 | Y | |
CS155 | 1990 | 1 | 2 | Y | |
EV203 | 2001 | 1 | 2 | Y | |
EV203 | 2003 | 1 | 3 | Y | |
IT105 | 2003 | 1 | 3 | Y | |
EV203 | 2003 | 1 | 4 | Y | |
IT155 | 2003 | 1 | 4 | Y |