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University of Texas at Dallas

School of Economic, Political and Policy Sciences

PO Box 830688

Richardson, Tx 75083-0688

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Geospatial Information Sciences Courses

Mastering GIS for government, private sector and research applications.

School of Economic, Political and Policy Sciences

GISC 5317 Computer Programming for GIS (3 semester hours) (3-0) R General introduction to Visual Basic and other languages with GIS related applications. Topics covered include fundamental data structures and algorithms, user-interface design, component object model, and data base management. Emphasis on rapid GIS application development with hands-on experiences. Students are expected to design and implement a project.

GISC/POEC 6332 GIS Applications in Criminology (3 semester credit hours)  Examines spatial distribution of crime, criminals, and criminal justice interventions. Students conduct spatial analysis of point patterns and area-based data in studies of the locations of crime events and rates, offenders, police controlling practices, judicial districts and community corrections and how they relate to physical and social characteristics of neighborhoods. Same as POEC 6332 (3-0) R

GISC 6379 Special Topics in Geospatial Information Sciences (3 semester hours) Topics vary from semester to semester. May be repeated for credit up to a maximum of 9 hours. Consult with adviser to determine appropriateness of topic for degree plan. (3-0) R

GISC/POEC 6381 Geographic Information Systems Fundamentals (formerly Intro to GIS) (3 semester hours) Provides an introduction to Geographic Information Systems and their applications. Emphasizes the concepts needed to use GIS effectively for manipulating, querying, analyzing, and visualizing spatial-based data. Industry-standard GIS software is used to analyze spatial patterns in social, economic and environmental data, and to generate cartographic output from the analysis. (3-0) Y

GISC/POEC 6382 Applied Geographic Information Systems (3 semester hours) Further develops hands-on skills with industry-standard GIS software for application in a wide variety of areas including urban infrastructure management, marketing and location analysis, environmental management, geologic and geophysical analysis and the social sciences. Prerequisite: GISC 6381, or equivalent with instructor's permission. (3-0) Y

GISC/POEC 6383 Geographic Information Systems Management and Implementation(3 semester hours) Management strategies for GIS are examined by presenting GIS as an integrated system of people, computer hardware, software, applications and data. Implementation is examined as a systematic process of user needs assessment, system specification, database design,  application development,  implementation, operation, and maintenance. Includes design of implementation plans as case studies to explore various techniques associated with each step of this process. (3-0) Y

GISC/ECO/POEC 6384 Spatial Analysis and Modeling (3 semester hours) Treatment of more advanced topics in the application of spatial analysis in a GIS environment. Topics covered include raster-based cartographic modeling, 3-d visualization, geostatistics and network analysis. Student will be acquainted with  state-ofĖthe-art software through hands-on laboratory experiences. Prerequisite: GISC 6381. (3-0) Y

GISC/POEC 6385 Geographic Information Systems Theories, Models and Issues (3 semester hours) Provides an understanding of the theory, data models and associated issues (such as uncertainty) that underlie GIS and the way these are applied to, and effect, spatial analysis and spatial data management.  Prerequisite: GISC 6381 and 6382, or equivalent with instructor's permission. (3-0) Y

GISC/POEC 6386 Urban and Environmental Applications of GIS/Remote Sensing. Examines selected topics in the use of GIS and/or remote sensing techniques for the solution of urban and environmental problems. Prerequisites: GISC 6381 or GEOS 5325, or equivalent with instructor's permission. (3-0) R 

GISC/POEC 6387 Geographic Information Systems Workshop (3 semester hours) Provides  a structured laboratory experience focused on the students' substantive area of interest. Each participant develops a project which should include aspects of database design and manipulation, spatial analysis, and cartographic production. Projects may be designed in coordination with a local government, utility, business, or other entity that uses GIS in its operations and research. Prerequisites: GISC 6381 and GISC 6382. (3-0) Y

GISC/POEC 6388 GIS Application Development (3 semester hours) Provides instruction and hands-on experience in specific techniques and languages for developing application systems based on GIS concepts. Students will learn to use current generation commercial software to design and implement an application. Prerequisites: GISC 6381 and GISC 5317, or consent of instructor. (3-0) R

GISC 6389 Geospatial Information Sciences Master's Project (3 semester hours) Requires completion of an original GIS project by the student working alone or in a team. Team efforts must result in products that can be associated uniquely with each student. Projects normally continue efforts started in GISC 6387or GISC 6386. (3-0) S 

GISC 7361 Spatial Statistics (3 semester hours) The application of econometric techniques to the explicit treatment of space (geography) in social science models. Covers the specification of spatial regression models, estimation and specification testing. Emphasizes the application of spatial econometric methods to an empirical data analysis project. Prerequisite: POEC 5331. (3-0) R (Same as POEC/ECO 7361 Spatial Econometrics)

GISC 7362 GIS Network Modeling (3 semester hours) Examines the theory of network analysis and its application in Geographic Information Systems. Topics covered include graph theoretic measures of network connectivity and proofs of network properties; optimization problems including shortest path algorithms, flow algorithms, and assignment problems on networks; special solution procedures for the classic transportation problem; procedures for linear referencing and urban travel demand modeling. The implementation of these algorithms and procedures with GIS data structures is explored using industry standard GIS software. Prerequisite: GISC 6381 or equivalent knowledge. (3-0) R

GISC 7363 Internet Mapping and Information Processing (3 semester hours) Provides a conceptual overview and hands-on experiences in Internet mapping and web-based geospatial information processing with state-of-the-art commercial software. Topics covered included client/server configuration, distributed data access and display, web-based user interaction and customization. (3-0) 

GISC 7365    Remote Sensing Digital Image Processing  (3 semester hours) Introduction to remote sensing digital image processing techniques. Topics covered include principles of remote sensing and remote sensors, image visualization and statistics extraction, radiometric and geometric correction, image enhancement, image classification and change detection. Innovative image processing approaches will also be introduced. State-of-the-art commercial image processing software is used for labs and applications development. (3-0) R (Same as GEOS 5326.)

GISC 7366 Applied Remote Sensing (3 semester hours)Focuses on the application of remote sensing techniques to solving real world urban and environmental problems in areas such as urban and suburban landscape, lane use and land cover, transportation and communication, vegetation and forestry, biodiversity and ecology, water and water quality control, soils and minerals, geology and geomorphology studies.  The current generation, industry standard software is used for labs and applications development. Prerequisite: GEOS 5325. (3-0) R (same as GEOS 5329)

GISC 7367 Remote Sensing Workshop (3 semester hours) An independent project is designed and conducted by the student, after instructor approval.  The project develops and demonstrates studentís competence in using remote sensing techniques in a substantive application to his/her field of interest.  Projects may be developed in coordination with a local government, utility, business, or other entity, which uses remote sensing in its operations and research.   A formal presentation and a project report are required.  Prerequisites: GISC 6381 and GISC 7365 (3-0) R (Same as GEOS 7327)

GISC 7384 Advanced Raster Modeling (3 semester hours) Examines advanced topics in raster modeling beyond those discussed in GISC 6384 Spatial Analysis. Prerequisite: GISC 6384 or equivalent knowledge. R

GISC8V01 Independent Study in GIS (1-9 semester hours) Provides faculty supervision for a studentís individual study of a topic agreed upon by the student and the faculty supervisor. Prerequisite: Consent of instructor. (May be repeated for credit.) ([1-9]-0) S

GISC 8V27 Internship in GIS (1-9 semester hours) Provides faculty supervision for a studentís internship, which must be related to GIS. ([1-9]-0) S

GISC8V29 RESEARCH IN GIS (1-9 semester hours) Provides faculty supervision of research conducted by a student. Prerequisite: Consent of instructor. (May be repeated for credit.) ([3-9]-0) S

Other Related Courses--School of Economic, Political and Policy Sciences

POEC 5313  Descriptive and Inferential Statistics  (3 semester hours) This course is an introduction to data analysis, statistics, and regression. The only prerequisite is a sound foundation in algebra. The heart of the course is a rigorous introduction to statistical inference: sampling theory, confidence intervals, and hypothesis tests. The final section of the course covers regression analysis, which is developed in a fairly non-technical way, with an emphasis on interpretation of regression results, using examples from recent research. Prerequisite: SOCS 3303. (3-0) Y


POEC 5316 Advanced Regression Analysis (3 semester hours) This is a rigorous course in regression analysis. It begins with an analytic presentation of the OLS model. (Although the presentation is mathematically rigorous, matrix algebra is not employed.) The course continues with a practical analysis of such issues as heteroskedasticity, multicollinearity, and endogeneity. Finally, the course moves on to more advanced models, including Logit, Probit, Tobit, and models for dealing with sample selection problems. Throughout, examples are drawn from the literature so students can see the models in action. Prerequisite: POEC 5313 or consent of instructor. (3-0) Y


POEC 5317 Computer Techniques in Policy Analysis (3 semester hours) General introduction to computing concepts for policy analysis. Topics covered include algorithms and data structures, object orientation, statistical computing, data base principles, Geographical Information Systems (GIS) and internet computing. Heavy emphasis on developing hands-on skills in rapid application development environments such as Visual Basic or Java. (3-0) T


POEC 5318 Information Systems in Policy Environments
(3 semester hours) Overview of the technology, role and management of computer-based information systems in policy environments. Provides the managerial foundation for effective decision making with respect to information technology implementation in public organizations. (3-0) Y

ECO 5311 Applied Econometrics (3 semester hours) Explores advanced econometric techniques for policy analysis. Topics include multicollinearity, heterosedasticity, time series, contextual effects and aggregation, simultaneous equations, selectivity bias and its correction, pooling cross-sectional and time series data, and models of qualitative choice. Techniques are illustrated with readings from the recent journal literature. (3-0)
ECO 6309 Econometrics I (3 semester hours) An introduction to econometrics, with a development of background concepts in linear algebra and statistics. The course focuses on estimation, hypothesis testing, and prediction in the classical linear regression model. Corresponding large sample issues are considered. General testing principles, such as likelihood ratio, Wald, and Hausman-type test are also discussed. Other topics include various specification issues and qualitative dependent variable models. Prerequisite: ECO 5311 (3-0)
ECO 6310 Econometrics II (3 semester hours) A continuation of ECO 6309. Topics include the generalized least squares model, and dynamic single equation and simultaneous equation models. This includes discussion of tests for heteroskedasticity and autocorrelation, prediction issues, time series models such as ARCH and GARCH models, unit roots and cointegration, panel data models, and the FIML and GMM procedures. Both linear and nonlinear models are considered. Prerequisite: ECO 6309 (3-0)

ECO 6314 Structural Equation and Multilevel (Hierarchical) Modeling (3 semester hours) An introduction to structural equation modeling (SEM) and multilevel modeling (MLM), sometimes called hierarchical linear or mixed modeling. SEM represents a general approach to the statistical examination of the fit of a theoretical model to empirical data. Topics include observed variable (path) analysis, latent variable models (e.g., confirmatory factor analysis), and latent variable SEM analyses. MLM represents a general approach to handling data that are nested within each other or have random components. Topics include dealing with two-level data that may be cross-sectional, such as students within classes, or longitudinal, such as repeated observations on individuals, firms, or countries. Prerequisite: POEC 5316 or consent of instructor. (Same as POEC 6318 Structural Equation and Multilevel (Hierarchical) Modeling) (3-0)

POEC 6388 Computer Techniques for Research (3 semester hours) Focuses on the effective use of computer resources to accomplish major empirical research projects, especially dissertations. Emphasizes use of data analysis packages, handling large data files, and the use of information networks. Prerequisite: Basic familiarity with use of computers. (3-0) T

POEC 8V01 Independent Study (1-9 semester hours) Provides faculty supervision for student's individual study of a topic agreed upon by the student and the faculty supervisor. Prerequisite: Consent of instructor. (May be repeated for credit.) ([1-9]-0) R

POEC 8V97 Internship (1-9 semester hours) Provides faculty supervision for a student's internship. Internships must be related to the student's course work. Prerequisite: Consent of instructor. ([1-9]-0) R

GIS-Relevant Courses in Geosciences (School of Natural Sciences and Mathematics)

GEOS 5303 Computing for Geoscientists (3 semester hours) Application of computer techniques in solving geological problems. Includes instruction in the MATLAB (r) software, plotting facilities, introductory matrix theory, and statistics. Students will examine problems in basic statistical analysis, graphics, and mapping of geological and geophysical data. Development of programming skills in areas directly related to thesis and dissertation research is encouraged. Serves as introduction to UNIX and the U.T. Dallas computing facility. Laboratory sessions are included. (2-3) Y

GEOS 5306 Data Analysis for Geoscientists (3 semester hours) Advanced statistical techniques with important applications in Earth science, beyond the level of GEOS 5303. Topics include robust statistics, exploratory data analysis, surface modeling and contouring, Kriging, analysis of point patterns and directional data. Factor, cluster and time series analysis may also be considered. Emphasis will be on application and theoretical understanding. Prerequisite: GEOS 5303 or equivalent. (3-0) R

GEOS 5311 Applied Groundwater Modeling (3 semester hours) This course is designed to provide students with hands-on experience using the most commonly-applied groundwater flow and transport models (e.g. modflow/modpath, MT3D/RT3D, GMS). Practical application of the models and design of modeling studies is emphasized, modeling theory and mathematics is de-emphasized.(3-0) Y

GEOS 5313 Applied Surface Water Modeling (3 semester hours/) The development and application of watershed models emphasizing runoff, stormflow and stormwater management design. This class combines aspects of GIS, remote sensing and surface water hydrology from an applied modeling perspective, using commonly applied computer models (e.g. Rational Method, TR-20, HEC-1) to address drainage problems related to urbanization and land-use changes. T (3-0)

GEOS 5422 GPS (Global Positioning System) Satellite Surveying Techniques (4 semester hours) The theory and application of satellite positioning utilizing the Global Positioning System Code and phase methodology in field observations, data processing and analysis of Differential GPS, high accuracy static and other rapid measurements, in real time and with post-processing. (3-3) Y

 

GEOS 5423 GIS (Geographic Information Systems) Applications to Geosciences (4 semester hours) The application of GIS to geologic, geophysical and environmental problems. Emphasis on hands-on digital geologic mapping and analysis with Arc/Info software package. Laboratory course. (3-3) T

 

GEOS 5325 Introduction to Remote Sensing (3 semester hours) Application of airborne and satellite remote sensing for understanding the surface of the Earth. Focus on interpretation of images obtained by passive and active imaging systems using electromagnetic radiation, especially visible, infra-red, and radar. Laboratory course. (2-3) T

 

GEOS  5326  Remote Sensing Digital Image Processing   (3semester hours) Techniques of digital image processing for a variety of remote sensing data sets and their applications for environmental and geoscientific issues. Extraction of statistical data from remote sensing imagery, radiometric and geometric correction, image enhancement and classification, and techniques for utilizing digital remote sensing data for change detection of the earth surface. Use of different image processing software to manipulate digital remote sensing data and extract thematic information. Introduction to Remote Sensing (GEOS 5325) is a pre-requisite for this course. Laboratory course. (2-3) T

 

GEOS  5328 Radar Remote Sensing (3semester hours) Principles and applications of orbital and airborne radar remote sensing, including real and synthetic aperture radar systems. Principles of Radargrammetry and single-path and repeat-path interferometry. Applications of radar remote sensing in geosciences, land use and land cover mapping, forestry and agriculture, urban analysis. Laboratory course.  Prerequisite: Principles of Remote Sensing  (GEOS 5325) (2-3) T

 

GEOS  5329 Applied Remote Sensing (3semester hours) Methods for using optical and radar remote sensing data and techniques for study of issues related to physical and social sciences,  including geological, environmental, and geomorphological studies, forestry, agriculture, and issues related to urban development and planning. Use of a variety of remote sensing data and software to address societal and scientific problems. Laboratory course.  Prerequisite: Principles of Remote Sensing  (GEOS 5325) (2-3) T

 

GEOS 5411 Applied Groundwater Modeling (4 semester hours) This course is designed to provide students with hands-on experience using the most commonly-applied groundwater flow and transport models (e.g. modflow/modpath, MT3D/RT3D, GMS. Practical application of the models and design of modeling studies is emphasized, modeling theory and mathematics is de-emphasized. Prerequisites: GEOS 5310 or instructor's permission. Laboratory course, no lab fee. (3-3) Y

GEOS 5V08-501 3D Data Capture and Ground LIDAR  Special topic. The use of reflectorless lasers is rapidly expanding in many activities including geosciences, GIS, engineering, surveying, architecture, facility and utility management.This course will cover the basics, advances and applications of ground reflectorless laser scanners for capturing the 3D man made and natural features. An emphasis will be the acquisition and utilization of point clouds from high data rate fast scanners ("ground LIDAR") and their unique requirements and problems . These data will be integrated with GPS and other sensors such as cameras. We will review case histories and carry out a variety of applications depending on the interests of the class. 3D visualization and analysis of such data sets will be covered. Fieldwork including a weekend field trip will be involved. Permission required. Special topic. Contact instructors for more information: Carlos Aiken & Xueming Xu, (3 credits)

GEOS7327 Remote Sensing Workshop (3 semester hours) An independentproject designed and conducted by the student.  The Project develops and demonstrates studentís competence in using remote sensing techniques in a substantive application to his/her field of interest.  Projects may be developed in coordination with a local government, utility, business or other entity which uses remote sensing in operations and research.  Formal presentation and a project report are required. Prerequisites: GISC6381 and GISC7365 (3-0)Y

 

GIS-Relevant Courses in Management Information Systems  (School of Management)

MIS 5321 Computer Programming (3 semester hours) Introductory and advanced programming techniques using C/C++ with emphasis on business applications. Concepts in JAVA will also be introduced. (3-0) T

MIS 6204 Information Technology and MIS Fundamentals (2 semester hours) Necessary background to understand the role of information technology and Management Information Systems in today's business environment. Topics include: strategic role of information, organization of information, information decision making requirements, telecommunications and networking, managing information resources, distributed processing, and current information systems/technology issues. (2-0) S

MIS 6308 Systems Analysis and Project Management (3 semester hours) This course will introduce students to various methodologies for systems analysis. A critical component of the course is project management as it relates to systems development. Students will also be introduced to project management software. Prerequisite: MIS 6326. (3-0) Y

MIS 6312 Automated System Development Methodologies (3 semester hours) Emphasis on the development of information systems with automated tools. Topics include procedure definition, dialogue design, screen/report design, procedure logic design, and technical design. Students use CASE software tools to demonstrate methodologies. Prerequisite: MIS 6308 or consent of instructor. (3-0) Y

MIS 6322 Developing Business Applications with Visual Basic(3 semester hours) Students will be introduced to developing business applications using Visual Basic. Topics include fundamental Basic programming, Windows user interface design, Windows and Visual Basic controls, ActiveX controls, data controls, and integration with other applications. (3-0) Y

MIS 6323 Developing Business Applications with Java (3 semester hours) This course includes the fundamentals of Java programming, writing applets for web-based systems, and business application programming using Java. Prerequisite: MIS 5321 or equivalent. (3-0) Y

MIS 6326 Database Management Systems (3 semester hours) Study of relational database theories, industry standard SQL, and database design. Conceptual/semantic data modeling with the entity-relationship diagramming technique is also introduced. A client/server database environment is developed with a selected SQL server, which is Oracle, Sybase, Microsoft SQL Server or other depending on the availability, and a database application development tool. (3-0) Y

MIS 6328 Information Strategy Planning (3 semester hours) This course provides an overview of the issues involved in planning for corporate-wide information systems: how information systems are built to incorporate company goals and objectives, the implications of technology changes upon corporate cultures, project planning and task delegation and the changing role of upper management in today's information intensive business practices. Students use CASE software tools to demonstrate methodologies. Prerequisite: MIS 6204 or consent of the instructor. (3-0) Y

 

GIS-Relevant Courses in Computer Science and Electrical Engineering  (Eric Jonsson School of Engineering and Computer Science)

CS 6359 OBJECT-ORIENTED ANALYSIS AND DESIGN (3 semester hours) Analysis and practice of modern tools and concepts that can help produce software that is tolerant of change. Consideration of the primary tools of encapsulation and inheritance. Construction of "software-ICs" which show the parallel with hardware construction. Prerequisites: CS 5354 and either CS 5335 or CS 5336. (3-0) S

CS 6360 DATABASE DESIGN (3 semester hours) Methods, principles, and concepts that are relevant to the practice of database software design. Database system architecture; conceptual database models; relational and object-oriented databases; database system implementation; query processing and optimization; transaction processing concepts, concurrency, and recovery;  security. Prerequisite: CS 5343. (3-0) S

CS 6364 ARTIFICIAL INTELLIGENCE (3 semester hours) Design of machines that exhibit intelligence. Particular topics include: representation of knowledge, vision, natural language processing, search, logic and deduction, expert systems, planning, language comprehension, machine learning. Prerequisite: CS 5343. (3-0) Y

CS 6366 COMPUTER GRAPHICS (3 semester hours) Geometric models of two- and three-dimensional objects and curved surfaces. Transformations in two and three dimensions. Clipping algorithms. Homogeneous coordinates. Hidden line and surface elimination algorithms: depth buffer, priority, polygon and others. Raster graphics systems. Scan line conversion algorithms, color and gray scale resolution and aliasing problems. Shading, rendering and special effects. Curved surface modeling. Bezier and B-spline functions. Review of current developments. Prerequisites: CS 5330, CS 5343, and linear algebra. (3-0)

CS 6375 NEURAL NETS AND MACHINE LEARNING (3 semester hours) Algorithms for training perceptions and multi-layer neural nets: back propagation, Boltzman machines, self- organizing nets. The ID3 and the Nearest Neighbor algorithms. Formal models for analyzing learnability: exact identification in the limit and probably approximately correct (PAC) identification. Computational limitations of learning machines. Prerequisite: CS 5343. (3-0) Y

CS 6378 (CE 6378) ADVANCED OPERATING SYSTEMS (3 semester hours) Concurrent processing, inter-process communication, process synchronization, deadlocks, introduction to queuing theory and operational analysis, topics in distributed systems and algorithms, checkpointing, recovery, multiprocessor operating systems. Prerequisites: CS 5348 or equivalent; knowledge of C and UNIX. (3-0) S

CS 6381 COMBINATORICS AND GRAPH ALGORITHMS (3 semester hours) Fundamentals of combinatorics and graph theory. Combinatorial optimization, optimization algorithms for graphs (max flow, shortest routes, Euler tour, Hamiltonian tour). Prerequisites: CS 5343, CS 6363. (3-0) T

CS6v81.003 SPATIAL DATA MANAGEMENT  (3 semester hours) The main objective of this class is to study research methods and literature in spatial database systems. Core research skills of literature analysis, innovation, evaluation of new ideas, and communication are emphasized via homework and projects. Prerequisites: CS 6360

CS 6384 COMPUTER VISION (3 semester hours) Algorithms for extracting information from digital pictures. Particular topics include: analysis of motion in time varying image sequences, recovering depth from a pair of stereo images, image separation, recovering shape from textured images and shadows, object matching techniques, model based recognition, the Hough transform. Prerequisite: CS 5343. (3-0) Y

EE 6360 DIGITAL SIGNAL PROCESSING I (3 semester hours) Analysis of discrete time signals and systems, z-transform, discrete Fourier transform, fast Fourier transform, analysis and design of digital filters. Prerequisite: EE 3302 or equivalent. (3-0) Y

EE 6363 DIGITAL IMAGE PROCESSING (3 semester hours) Image formation, image sampling, 2D Fourior transform and properties, image wavelet transform, image enhancement in spatial and frequency domains, image restoration, color image processing, image segmentation, edge detection, morphological operations, object representation and description, introduction to image compression. Prerequisites: EE 6360, knowledge of C and MATLAB. (3-0) R

 

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