GIS Courses @ Purdue
AAE
523
:
Introduction To Remote Sensing
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Spring
Description:
Fundamentals of satellite and airborne remote sensing. Basic physical principles of electromagnetic wave propagation will be introduced. From this foundation, the phenomenology’s enabling properties of the atmosphere; ocean and land surface to be measured at a distance will be developed. These principles will be applied to the design of instruments and satellite missions for Earth observation. Microwave instruments will be emphasized, although there will also be discussion of optical systems. Most of the material would also be applicable to remote sensing of other planets. Intended for students in Engineering or the Sciences.
Pre-Requirement:
Web Page:
Notes:
ABE
325
:
Soil and Water Resrouces Engineering
Instructor:
Cherkauer
Credit:
4
Type:
Lecture/Lab
Semester:
Fall
Description:
Interrelationships of the plant-water-air-soil system; hydrologic processes; protection of surface and ground water quality; GIS targeting of soil and water protection measures; and design of subsurface and overland drainage systems, irrigation systems, and soil erosion control practices.
Pre-Requirement:
AGRY 25500/NRES 25500/ME 30900/CD 34000/C3 34300
Web Page:
Notes:
ABE
529
:
Nonpoint Source Pollution Engineering
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Spring
Description:
Engineering principles involved in assessment and management of nonpoint source (NPS) pollution. Effect of NPS pollution on ecosystem integrity. Use of GIS/mathematical models to quantify extent of pollution. Design/implementation of best management practices to reduce nonpoint source pollution and improve water quality. Discussion of total maximum daily load (TMDL) principles and processes.
Pre-Requirement:
Web Page:
Notes:
AGEC
631
:
The Theory And Practice Of Spatial Econometrics
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Spring
Description:
This course deals with the analysis of spatial data and centers on both exploratory tools developed in spatial statistics and GIScience, as well as on econometric models that have been the main focus in spatial econometrics. During the course, the theoretical basis for the analysis of spatial data and spatial models will be covered. This theoretical angle will be combined with ample opportunities to acquire hands-on experience in the analysis of spatial data. To the effect, up-to-date software, such as GeoDa, R, Stata, and Matlab will be used. A good working knowledge of basic statistics and regression techniques is needed. Prior experience with GIS is helpful but not required.
Pre-Requirement:
AGEC 45100 or AGEC 65000 or ECON 67100 or STAT 41700 or STAT 51200 or STAT 51700
Web Page:
Notes:
AGRY
485
:
Precision Crop Management
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Fall
Description:
An experiential lecture, discussion and field laboratory course for graduating seniors majoring in Agronomy. Analysis of multi-layer digital georeferenced crop data is used to inform the development and evaluation of zone-specific agronomic input prescriptions. Variables include factors affecting soil productivity, soil fertility and N management (including emerging sensor and crop modeling technologies). Prescriptions for variable crop genetics and seeding rates are also discussed. Sound agronomic use of emerging technologies such as real time soil moisture, organic matter, temperature and moisture sensing to affect variable seeding depth, rate and precision are included. May be used in combination with AGRY 49800 to meet the Agronomy undergraduate capstone requirement; will also meet the GIS/GPS requirement in Agronomy plans of study.
Pre-Requirement:
Web Page:
Notes:
AGRY
545
:
Remote Sensing of Land Resources
Instructor:
Crawford
Credit:
3
Type:
Lecture/Lab
Semester:
Fall, all years
Description:
Application of remote sensing and spatial databases for observing and managing land resources within the Earth System; analysis and interpretation of remotely sensed data in combination with field observations and other data sources; conceptualization and design of a global earth resources information system.
Pre-Requirement:
Web Page:
Notes:
Cross listed as CE 597
AGRY
565
:
Soils and Landscapes
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Fall
Description:
Soils as natural components of landscapes, geomorphology and soil characteristics; processes of soil formation; principal soils of Indiana, their adaptations, limitations, productivity and use; global soil distributions; application of GPS and mobile GIS in the field. This course requires two all-day field trips. Students will pay individual meal expenses when necessary.
Pre-Requirement:
Web Page:
Notes:
This course requires two all-day field trips. Students will pay individual meal expenses when necessary.
ANTH
592
:
GIS for Humanities and Social Sciences
Instructor:
Kong
Credit:
3
Type:
Lecture
Semester:
Fall
Description:
This course will introduce students the skills of spatial thinking, basic functions of Geography Information Systems (GIS), and spatial research methods that are most relevant to humanities and social science. The course will start with an introduction to basic GIS concepts and technology, then move onto GIS applications during the research process, including spatial research design, data acquisition, management, visualization, and spatial analytical techniques. Practical work will be introduced and completed using ESRI ArcGIS Pro software.
Pre-Requirement:
Web Page:
Notes:
ASM
540
:
GIS Applications
Instructor:
Frankenberger, Theller
Credit:
3
Type:
Lecture/Lab
Semester:
Fall, all years
Description:
This course covers fundamentals of GIS analysis applied to environmental, agricultural, and engineering-related problems. You will learn to use ESRI’s ArcGIS software, and also key fundamentals of using geographic information systems (GIS) that are applicable beyond ArcGIS. Topics include data sources, spatial analysis; projections; creating data and metadata, and conceptualizing and solving spatial problems using GIS. By the end of this course, students will:1.Understand the fundamentals of spatial analysis. 2.Be able to apply GIS to real-world problems in agriculture, the environment, and engineering. 3.Be able to make informed judgments about the suitability of GIS data and analysis for a particular application 4.Develop skills to effectively use ArcGIS, a major GIS software tool 5.Enhance their problem-solving and communication skills through independent projects and presentations 6.Be able to learn independently in the future about GIS, ArcGIS, and other GIS software
Pre-Requirement:
Web Page:
https://engineering.purdue.edu/~asm540/
Notes:
CE
403
:
Principles Of Photogrammetry And Remote Sensing
Instructor:
Shan
Credit:
3
Type:
Lecture/Lab/Distance Learning
Semester:
Fall, all years
Description:
Introduction to photogrammetry and remote sensing methods used to produce maps and capture spatial information for solving civil engineering problems. Topics include: terrestrial, airborne, and satellite-based imaging systems; photogrammetric measurement, and mapping methods; photographic and digital image interpretation; digital image processing techniques.
Pre-Requirement:
Web Page:
Notes:
CE
408
:
Geographic Information Systems In Engineering
Instructor:
Shan
Credit:
3
Type:
Lecture/Lab/Distance Learning
Semester:
Fall, all years
Description:
This course provides an introduction to the application of geographic information systems (GIS) to civil engineering problems. GIS is a tool for analysis, modeling, and evaluation of civil engineering problems. The design of spatial databases, assembly of requisite data, and the development of analysis tools within GIS are presented. This course will address: definition of spatial data, data types, spatial relationships, computer operation on spatial data, topology in spatial data, representation of features in a GIS, data models, data dictionaries, data capture techniques; database types, composition of spatial queries, analysis of engineering data using a GIS, complex analysis of polygon and linear features, presentation of results, use of a GIS as an engineering model test bed.
Pre-Requirement:
Web Page:
Notes:
CE
549
:
Computational Watershed Hydrology
Instructor:
Merwade
Credit:
3
Type:
Lecture
Semester:
Spring
Description:
Use of professional computer programs for the calculation of the runoff from complex basins. Generation of unit hydrographs. Calculation of losses, channel and reservoir routing, parameter optimization, and application of Kinematic wave technique to urban catchments.
Pre-Requirement:
Web Page:
Notes:
CE
597
:
Geographic Information Systems
Instructor:
Shan
Credit:
3
Type:
Lecture
Semester:
Spring
Description:
The course intends to enhance students’ fundamental knowledge and advanced skills in geospatial science and technology. It will be focused on quantitatively exploring and evaluating the patterns of both physical and social phenomena in spatial and temporal domains. Students will learn the analytics needed for mining and interpreting geospatial data of various forms and practice such analytics through designed course projects. Besides, the course will provide each student an opportunity to apply the course content to a topic area of their own interest. By successfully completing the course, students should be able to 1) understand the theories and context of spatial modeling and analysis 2) choose proper geospatial analysis methods and implement or practice them 3) model, interpret and visualize geospatial and temporal patterns 4) be familiar with popular geospatial analysis tools
Pre-Requirement:
Web Page:
Notes:
CE
597
:
Geospatial Modeling and Analysis
Instructor:
Shan
Credit:
3
Type:
Lecture
Semester:
Fall 2018
Description:
The course intends to enhance students’ fundamental knowledge and advanced skills in geospatial science and technology. It will be focused on quantitatively exploring and evaluating the patterns and models of both physical and social phenomena in spatial and temporal domains. Students will learn the analytics needed for mining and interpreting geospatial data of various forms and practice such analytics through designed course projects. Besides, the course will provide each student an opportunity to apply the course content to a topic area of their own interest. By successfully completing the course, students should be able to 1) understand the theories and context of spatial modeling 2) implement and practice typical geospatial modeling methods 3) analyze, interpret and visualize geospatial data and their patterns 4) be familiar with popular geospatial data and analysis tools
Pre-Requirement:
1) an introductory GIS course, preferably at graduate level 2) graduate status 3) being familiar with ArcGIS and its extensions 4) having experience in computer programming 5) or under consent of the instructor
Web Page:
Notes:
CE
597
:
Built Environment Modeling
Instructor:
Cai
Credit:
3
Type:
Lecture/Lab
Semester:
Spring
Description:
A study of geospatial technologies, engineering sensing technologies, and their applications in collecting, managing, analyzing, and visualizing civil infrastructure data from a life cycle perspective. Such technologies include, but are not limited to Global Positioning System (GPS), ground penetrating radar (GPR), radio frequency identification (RFID), light detection and ranging (LiDAR) and Geographic Information System (GIS).
Pre-Requirement:
Web Page:
Notes:
EAPS
390
:
Geologic Field Methods
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Spring
Description:
Introduction to geologic mapping principles on quadrangle (7 1/2 min., 15 min., 1:250,000 scales) maps. Application of aerial photography, GPS, and GIS techniques. Emphasis on construction of cross sections, measurement of stratigraphic sections, and preparation of geologic reports. Several weekend field exercises will be required.
Pre-Requirement:
Web Page:
Notes:
EAPS
577
:
Remote Sensing Of The Planets
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Fall, Spring
Description:
Introduction to key planetary and Earth science satellite remote sensing datasets, including visible and thermal imagery, visible through mid-infrared spectroscopy, radar, gamma ray and neutron spectroscopy, and laser altimetry. Students will receive hands-on-experience with data acquisition, image processing in IDL, spectral analysis in ENVI and Davinci, crater counting, and geologic mapping in GIS programs. Includes 1-2 full-day field trips. Junior, Senior, or Graduate status required. Recommended minimum background for undergraduates: Introductory knowledge of Earth or planetary surface processes and basic programming skills.
Pre-Requirement:
Web Page:
Notes:
ECE
577
:
Engineering Aspects Of Remote Sensing
Instructor:
Credit:
3
Type:
Lecture/Lab
Semester:
Spring, even years
Description:
Introduction to the concepts of multispectral image data generation and analysis. Basic principles of optical radiation, reflection, and measurement in natural scenes. Fundamentals of multispectral sensor design and data analysis for complex scenes. Application of signal processing and signal design principles and of statistical pattern recognition to these problems. Spatial image processing methods and algorithms as appropriate to land scene data. Practice with analysis of actual aircraft and spacecraft data in a cross-disciplinary environment.
Pre-Requirement:
Web Page:
Notes:
FNR
210
:
Natural Resource Information Management
Instructor:
Hardiman
Credit:
3
Type:
Lecture/Lab
Semester:
Spring, all years
Description:
Introduction to natural resource and land information systems and data management technologies. Principles of data storage, organization, and retrieval for both textual and spatial data (geographic information systems), data acquisition, accuracy assessment, mapping, and use of this data in natural resource management are presented.
Pre-Requirement:
Web Page:
Notes:
Cross listed as NRES 210
FNR
355
:
Quantitative Methods For Resource Management
Instructor:
Fei
Credit:
3
Type:
Lecture
Semester:
Spring
Description:
Application of analytical and computational techniques for the purpose of making decisions regarding the management of forests. Typically offered Spring.
Pre-Requirement:
FNR 353/FNR 210/MA 16020/MA232
Web Page:
Notes: