MCCCD Program Description

Major: 5135 Catalog Year: 2023-2024 Effective Term: 2017 Fall Last Admit Term: 2020 Summer Award: CCL Total Credits: 29-48 CIP Code: 45.0701	Primary College: Initiating College: Mesa Community College Program Availability: Not Found Program Availability: College-Specific Program Availability: College-Specific Field of Interest: Science, Technology, Engineering and Mathematics Instructional Council: Geography (30) GPA: 2.00
SOC Code: 11-9199, 19-3092, 25-1064

Description: The Certificate of Completion (CCL) in Applications in Geospatial Technologies program provides a solid foundation in Geographic Information Systems concepts, not simply GIS software. This program equips students with fundamental GIS abilities that can be applied in a variety of environments where spatial data analysis is required.

Suggested Course Plan Sequenced by Semester:
Track I: Technician
Track II: Analyst/Developer
Track III: Transfer Emphasis

Required Courses

GCU102 Introduction to Human Geography (3) OR
GPH113 Introduction to Physical Geography (4) 3-4

GIS205 Geographic Information Technologies 3
+GIS211 Geographic Information Science I 4
+GIS220 Introduction to ArcPy Scripting 3
+GIS222 Geographic Information Science II 3
GCU/GPH298++ Special Projects (any suffixed course) 1-3

AND

Students must select one of three (3) tracks.

Track I: Technician: Credits: 9
+CIS163AA Java Programming: Level I 3
CIS117DM Microsoft Access: Database Management 3
GIS223 Introduction to Digital Image Processing 3

Track II: Analyst/Developer: Credits: 9
+CSC110 Introduction to Computer Science (Java) 3
+CIS276DB SQL Server Database 3
GIS223 Introduction to Digital Image Processing 3

Track III: Transfer Emphasis: Credits: 12
+CSC110 Introduction to Computer Science (Java) 3
+CSC205AB Object Oriented Programming and Data Structures 4
+MAT220 Calculus with Analytic Geometry I 5

Credits: 26-32

Restricted Electives
	Credits:

General Electives
	Credits:

Program Competencies
1. Explain the processes by which population is measured and analyzed, and identify governmental and individual policies toward population. (GCU102) 2. Describe spatial and functional relationships among climates, landforms, soils, water, and plants. (GPH113) 3. Identify and describe the characteristics of the earth (size, shape, movement). (GIS205) 4. Explain datums, projections, and coordinate systems. (GIS205) 5. Examine the purpose and application of GIS. (GIS211) 6. Perform data management tasks including, creating, querying, editing, joining, and customizing spatial and non-spatial data. (GIS211) 7. Produce a map from several data sources. (GIS211) 8. Explain the uses of statistical data, classification, and levels of measurement. (GIS211) 9. Identify Python syntax and ArcGIS error codes and messages (GIS220) 10. Add and modify geoprocessing functions (GIS220) 11. Design and implement a spatial database. (GIS222) 12. Explain spatial analysis operations for vector and raster data. (GIS222) 13. Design, develop, and implement a spatial analysis project. (GIS222, GCU/GPH298++) 14. Develop and implement a map series utilizing appropriate scale and projection. (GIS222) 15. Explain the fundamental physical processes behind remote sensing. (GIS223) 16. Differentiate supervised vs. non-supervised classification processes. (GIS223) 17. Use the basic elements and components of the Microsoft Access program, and analyze common database management problems related to the program. (CIS117DM) 18. Explain concepts of problem solving, structured and object-oriented programming in Java, fundamental algorithms and techniques, and computer system concepts. (CSC110) 19. Identify and explain social and ethical responsibilities associated with the use of computerized information systems. (CSC110) 20. Perform the operation of differentiation and integration on functions of one variable. (MAT220) 21. Utilize Object-Oriented programming concepts in Java. (CIS163AA) 22. Demonstrate an understanding of data analysis involved in relational databases. (CIS276DB) 23. Create a new SQL Server database. (CIS276DB) 24. Write programs using basic data structures such as arrays, ArrayLists, and Vectors. (CSC205AB) 25. Analyze and compare the efficiency of different searching and sorting algorithms, including algorithms that are implemented recursively. (CSC205AB)
+ indicates course has prerequisites and/or corequisites. ++ indicates that any suffixed course may be selected. MCCCD Governing Board Approval Date: February 28, 2017

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.