Introduction to Geographic Information Systems

Spring 2008 Course Syllabus – BIOL 2310-1 and BIOLL 2310-1

 

 

Instructor: Dr. John Campbell                         Credit hours: 3 (2 hr lec. and 2 hr lab)

Texts: GIS Fundamentals (2nd Ed.), by Paul Bolstad, Eider Press. 2005

Mastering ArcGIS (3nd Ed.), by Maribeth Price,  McGraw Hill. 2008

Office: SM 254  Phone: 754-6140                   Meets: TTH 11-11:50 SM 247; Lab W 3-4:50 SM 135              

Office Hours: 10-10:50  MTWThF                 Email: john.campbell@northwestcollege.edu

 

Course objective: To gain a basic, practical understanding of GIS concepts, technical issues, and applications using ArcGIS. By the end of this course you should be able to do the following.

·         Define Geographic Information Systems

·         Identify, compare and contrast vector and raster GIS

·         List and evaluate the capabilities of ArcGIS

·         Apply cartographic principles of scale, resolution, projection and data management in a geographic problem

·         Apply spatial analysis functions to a geospatial problem

·         Communicate the results of geospatial analysis through a well designed map

 

Learning outcomes:

Students completing this course should be able to

·         Demonstrate sound scientific reasoning and familiarity with basic scientific methodology and experimental procedures.

·         Be able to organize, analyze and interpret data

·         Demonstrate oral and written communication skills

 

Intended audience: Designed for two audiences: students new to the field of GIS who want to understand the concepts and technology and assess its value to their career, and existing GIS practitioners who want to go beyond the software manuals to understand the fundamental concepts of GIS.

 

Prerequisites: No prerequisites are required for this course, but some background in computer operations and keyboarding is needed.

 

Course format: This course will include classroom lecture, discussion and demonstration of geographic information systems. Lecture will include computer presentations. In lab, students will perform practical ArcGIS exercises using data and ArcGIS software.

 

Software Used:

The course will use ArcGIS 9.2, a powerful and popular desktop GIS program from Environmental Systems Research Institute (ESRI, Redlands, CA).

 

Absence policy: The college absence policy is to be used.  You may miss 3 class periods without an excuse, after which your class grade may be dropped one letter grade for each additional absence. Only illness and participation in a college sponsored activity are excused absences. People involved in excused school activities should plan on taking the exam prior to their absence.  Makeup and replacement exams may be different from the missed exam.  Unexcused missing of exams may result in no makeup exam being given or a grade penalty assessed.

Policy on Academic Integrity: You are expected to strictly observe NWC rules regarding academic honesty. These rules are detailed in your Student Handbook. These rules require you to abstain from cheating on exams, properly reference published written and electronic material, and only submit work that is your own. If you have any questions regarding what behavior is proper, including what constitutes plagiarism, please do not hesitate to ask.

Students with Special Needs: Students who qualify for specific accommodations under the Americans with Disabilities Act should notify the instructor in the first week of class to ensure that their needs are met in a timely manner. It is the student’s responsibility to inform the instructor of his/her needs and to provide the necessary documentation to the Student Success Center before any classroom accommodations can be made. To contact the Director of the Student Success Center, call 754-6204 or stop by the Center located in the basement of Colter Hall.

Catalog Description: Students acquire an introductory-level understanding of the principles and practices of geographic information systems (GIS), both as an interactive spatial database and as a powerful analytical tool. Students learn the theory of mapping and spatial data analysis as well as learn to use GIS software through exercises and projects (2 hrs. lec, 2 hrs. lab)

 

 

 


Lecture Outline:

 

Date                            Lecture Topics                                                            Text Chapter Readings

 

Jan. 15, 17                   Introduction to GIS                                                      1

 

Jan. 22, 24, 29             Data Models                                                                2

 

Jan 31, Feb 5, 7           Projections and Coordinate Systems                            3

 

Feb. 12                        Data Sources and Entry                                               4

 

Feb. 14                                    Exam 1

 

Feb. 19, 21                  Data Sources and Entry                                               4

 

Feb. 26, 28                  GPS                                                                             5

 

March 4                       Aerial and Satellite Images                                           6

 

March 6                       Digital Data                                                                  7

 

March 11, 13, 18        Attribute Data and Tables                                            8

 

March 20                                             Exam 2                       

 

April 1                         Discussion of Projects

 

April 3, 8, 10               Basic Spatial Analysis                                                  9

 

April 17, 22, 24           Map Design and Presentation                           Lecture material

 

April 29                       Terrain and Raster Analysis                                         10

 

May 1                          Project Presentations                                                    11

 

May 7 (W)                               Final Exam                                                      1-2:50 PM

 

 

                                                                                                           

Grading: The lecture portion of the course will be worth 50% of the total course grade and the laboratory will be worth 50%.

 

Exam 1            16%                 Final Exam      17%

Exam 2            17%                 Laboratory       50%


Laboratory Syllabus

 

Laboratory objective: The practical exercises in lab are designed to reinforce conceptual material learned in the lecture and to learn specific skills using ArcGIS 9.2, a desktop software implementation of a Geographic Information System.

 

Laboratory topics:                                                                                         Exercises

 

Lab 1: Introduction to ArcGIS                                                                                     1

 

Lab 2: Working with ArcMap                                                                                      2

 

Lab 3: Coordinate Systems and Map Projections                                                         3

                                                           

Lab 4: Drawing and Symbolizing Features                                                                   4

 

Lab 5:  Managing tabular data              (project 1 due)                                                 5

 

Lab 6: Queries                                                                                                             6

 

Lab 7: Presenting Data                                                                                                 9

 

Lab 8: Basic Editing in ArcMap                                                                                   11

 

Lab 9:  More Editing in ArcMap          (project 2 due)                                                 12

 

Lab 10: Spatial Joins                                                                                                    7

 

Lab 11: Work on Project

 

Lab 12: Map Overlay                                                                                                   8

           

Lab 13: Raster Analysis+ final project work                                                                15

 

Lab 14: Work on final projects

 

Lab 15: Presentation of Final Projects

 

 

 

Projects: Three projects that demonstrate your skills with ArcGIS and spatial data and analysis are required. These projects will be broken down into three assignments: two minor projects and one major project.

 

The two projects will have specific assignments and the third will be on a topic of your own choosing. In this large project, you will gather attribute and spatial information, input the data into ArcGIS, conduct a spatial analysis, produce graphic output and prepare a report of your findings. Details and requirements of the project will be covered in class and presented in a separate handout.

 

The final project will be turned in as 2 paper copies of all maps and the associated report, as well as all data and project files burned onto a CD-R disk.

 

Much of your GIS skill will develop as you work on your major project. I expect a project of breadth and depth as warranted for a 3 cr. hr. class and your grade will be based on meeting this level. A project at this level will give you an excellent working understanding of GIS and its capabilities. Unfortunately, it will not give you highly developed GIS skills. Many students in the past have chosen to create a project with more breadth or depth than required for this class because they desire the greater capabilities that come from this additional work. I applaud this additional effort and will support anyone who desires to go beyond the course requirements. However, I do not use these larger projects as a standard in grading for the class, but will use a standard appropriate for a 3 cr. hr. class. Thus, no student should feel pressured to develop one of these larger and more time consuming projects unless they desire the challenge.

 

Grading and evaluation of laboratory exercises:

 

                        Weekly laboratory participation and output:   50 %

Projects:                                                           45% (5% for each of two minor project components    and 35% for the main project)

 

             Presentation of final project                             5%

 

Late Materials: Late assignments will be accepted after the due date, but will only be worth 80% of their original value.