GEOG 480
Exploring Imagery and Elevation Data in GIS Applications

GEOG 480 Syllabus

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Geog 480: Exploring Imagery and Elevation Data in GIS Applications

This syllabus is divided into several sections. You can read it sequentially by scrolling down the length of the document or by clicking on any of the links below to “jump” to a specific section. That being said, it is essential that you read the entire document as well as material covered in the Orientation. Together, these serve the role of our course "contract."

Instructor

Karen Schuckman
Senior Lecturer, Dutton e-Education Institute
Pennsylvania State University
2217 Earth-Engineering Sciences
University Park, PA 16802

NOTE: I will read and respond to e-mail and discussion forums at least once per day, seven days per week.


Course Overview

GEOG 480 - EXPLORING IMAGERY AND ELEVATION DATA IN GIS APPLICATIONS: An introductory level course focusing on the use of remotely sensed imagery and elevation data in GIS applications. Students enrolling in Geog 480 should have a solid conceptual foundation in geospatial information science and technology (equivalent to Geog 482 and Geog 483). Geog 480 is appropriate for those who are already working in the geospatial profession and wish to use imagery and elevation data in visualization and spatial analysis.

Prerequisites: Geog 482 or equivalent professional experience.

The course is specifically designed for adult professionals and is offered exclusively through the World Campus and the John A. Dutton e-Education Institute of the College of Earth and Mineral Sciences. Geog 480 is the first required course in the Graduate Certificate in Remote Sensing and Earth Observation. Geography 480 also fufills a remote sensing requirement for the Post-Baccalaureate Certificate in GEOINT Applications, and can be used as an elective in the Certificate of Geographic Information Systems, Master of Professional Studies in Homeland Security - Geospatial Intelligence Option or the Master of Geographic Information Systems.

Students who register in the course for credit will complete eight lessons with corresponding hands-on assignments, online discussions, and a final project. Throughout the course, students confront realistic problem scenarios that incorporate such skills and concepts as definition of data needs, metadata content standards, data formats and types, and analysis methods.

What will be expected of you?

Our 3-credit online courses normally require a minimum of 12-15 hours of independent student activity per week. You are not required to attend any lectures or meetings; however, your instructor may choose to host optional webinar discussions using Adobe Connect. Attendance in live discussions is not mandatory and does not explicitly count toward your grade; however, most students report that they find the webinars to be a valuable part of their learning experience. If the instructor is planning to hold live discussions, he/she will conduct a poll during the orientation week to determine a meeting time that works best for the largest number of students. Access to and use of Adobe Connect is covered later in this Orientation.

Lessons include textbook reading assignments, objective quizzes on the reading material, hands-on lab activities, and peer-to-peer discussions. The first few days of each lesson should be devoted to reading the online and textbook material, using any self-assessment tools provided with each lesson to help master technical vocabulary and concepts. At the start of each lesson week, you should preview the written instructions for the lab exercise. The final days of each lesson week should be devoted to performing the lab exercise, submitting the lab deliverable for grading, asking questions or commenting on your lab experiences in the online discussion forum, and completing the lesson reading quiz.

You should get in the habit of checking course email and discussion forums on a daily basis. That is where students and instructors share comments, pose questions, and suggest answers. With only occasional exceptions, instructors check email and forums six days per week, and will try to respond to your questions and concerns within 24 hours.

For a more detailed look at what will be covered in each lesson, please refer to the course content that is part of this syllabus (see "Course Schedule"). Specific due dates for assignments and activities are posted within the online course management system for registered students.


Course Objectives

Students who excel in this course are able to:

  • Describe the basic principles of image and elevation data acquisition.
  • Summarize the basic operational characteristics of commercial imaging systems.
  • Critically assess the strengths and weaknesses of optical imaging instruments and platforms for a broad range of application scenarios.
  • Perform orthorectification of digital imagery.
  • Perform simple image enhancement, image interpretation, and automated analysis using digital optical imagery.
  • Perform simple terrain analysis using digital elevation/terrain models.
  • Describe the quantitative methods and industry standards for geometric accuracy assessment of imagery and elevation data products.
  • Describe the qualitative methods and industry standards for quality assurance and quality control of imagery and elevation data products.
  • Use acquired knowledge and critical thinking skills to create visualizations and perform analysis of imagery, elevation, and supplemental vector data in GIS.

Required Course Materials

In order to take this course, you need to have the required course materials and an active Penn State Access Account user ID and password (used to access the online course resources). All (other) materials needed for this course are presented online through our course website and in Canvas. In order to access the online materials, you need to have an active Penn State Access Account user ID and password (used to access the online course resources). If you have any questions about obtaining or activating your Penn State Access Account, please contact the Outreach Helpdesk.

Required Textbooks

There are three required textbooks for this course. NOTE: Please acquire the specified editions. Earlier editions will not suffice for this course.

  1. Campbell, James B. 2011. Introduction to Remote Sensing, 5th edition. New York. The Guilford Press. ISBN 978-1609181765. This text can be purchased on Amazon.com in Hardcover or as a Kindle eBook.
  2. Parece, Campbell, and McGee. 2014. Remote Sensing Analysis in an ArcMap Environment, VirginiaView, ASIN B00VGE0464. This text is only available as a Kindle eBook from Amazon.com.
  3. Maune, D. F., ed. 2007. Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd edition. Bethesda, MD. American Society for Photogrammetry and Remote Sensing. ISBN 1-57083-082-7. This book will be provided by Penn State at no cost to the student. Download this form, save it, open it, and then complete it with your shipping information, and submit per instructions. Make sure you aren't trying to fill out the form from within your browser. When you click the submit button, it should automatically send to remotesensing@psu.edu with the Subject line "Submitting Completed Form."

The Kindle reader application can be downloaded for free from Amazon. https://www.amazon.com/gp/digital/fiona/kcp-landing-page

An electronic version of the Campbell (2011) textbook can also be accessed online from the Penn State Library eReserve. The number of pages that can be read or printed is limited, so we recommend that you purchase a hard copy and use the electronic version for quick searches. To access the textbook online:

  • Go to the University Library web page.
  • Log in using your Penn State Account.
  • In the search box enter "Introduction to Remote Sensing" in the Search field, and click Search.
  • Select "Introduction to remote sensing [electronic resource] 5th ed." in the Search results.
  • Click on the resulting link provided for online content.

Supplemental References (No Purchase Necessary)

Additional readings may be provided electronically through the course management system and Penn State library services. These readings may include, but are not limited to, the following sources.

  • Congalton, R. and K. Green. 2009. Assessing the Accuracy of Remotely Sensed Data. 2nd edition. CRC Press. ISBN 978-1-4200-5512-2.
  • McGlone, J. C., ed. 2004. Manual of Photogrammetry, 5th edition. Bethesda, Md.: American Society for Photogrammetry and Remote Sensing. ISBN 1-57083-071-1.
  • Wolf, P. and B. Dewitt. 2000. Elements of Photogrammetry, 3rd edition. Boston. McGraw-Hill. ISBN 0-07-292454-3.
  • Photogrammetric Engineering and Remote Sensing, American Society for Photogrammetry and Remote Sensing.

Required Software

Be sure to read the Technical Requirements section at the end of the syllabus for minimum system requirements. These are more stringent than the general Program Technical Requirements. You will also need an administrator-level password for your computer in order to properly install the course software.

  1. ArcGIS Desktop, Esri
    All students in the Online Geospatial Program receive a student license of ArcGIS Desktop valid for one year. Licenses will be issued during the first week of class for those students who do not already have one. Students with existing licenses may be asked to upgrade to a newer service pack or version. Instructions for downloading, installing, and updating the ArcGIS software are provided in Lesson 0 - Orientation. All references to ArcGIS in the course refer to ArcGIS Desktop.
  2. 7-Zip (or similar)
    You will need a file utility capable of unzipping .zip and .tar.gz files. 7-Zip can be downloaded for free from www.7zip.org.
  3. Screen Capture Utility
    Students are free to use any screen capture software of their choosing. Examples are SnagIt (paid), Jing (free), CaptureWiz (paid) or the Windows Snipping Tool. The software should allow capturing selected portions and single windows on the desktop.

Supplemental Software Tutorials

Registered students have access to the Esri Virtual Campus courses free-of-charge. These courses are available for students who wish to review or enhance their ArcGIS skills in preparation for or during the course. Several Virtual Campus courses will be assigned as part of the weekly lab activities; the instructor will provide access codes. Visit the Penn State Esri Virtual Campus Subscription page to request access codes for any other Virtual Campus courses that are of interest. Please note you must login with your Penn State access account to use the order form.

Free tutorials for other commercial software used in this course are available directly from the vendor websites.

Using Penn State Library Resources

Many of Penn State's library resources can be utilized from a distance. Through the Library Resources and Services for World Campus and Distance Education site, you can...

  • access electronic databases, and even full text articles, from the LIAS Fast Track.
  • borrow materials and have them delivered to your doorstep...or even your desktop.
  • access materials that your instructor has put on Electronic Reserve.
  • talk to reference librarians in real time using the "Virtual Reference Service."
  • ...and much more.

NOTE: You must be registered with the University Libraries in order to take full advantage of the Libraries' resources and services. Registration and services are free.


Assignments and Grading

Students earn grades that reflect the extent to which they achieve the learning objectives listed above. Opportunities to demonstrate learning include:

  • Online quizzes (15% of final grade)
  • Online discussions (10% of final grade)
  • Lab activities (55% of final grade)
  • Final project (20% of final grade)

Lesson weeks begin on Wednesdays. All deliverables for a lesson are due at the end of the lesson week, at 11:59 PM Eastern on Tuesday. Students who will be unable to meet the deadline for a given week must contact the instructor at least 24 hours prior to the deadline to request an extension.

The final grading scale is shown below.

Grading Breakdown
Grading Scale Perentage Points
A 93% and above 465 points and above
A- 90% - 92.9% 450 - 464 points
B+ 88% - 89.9% 440 - 449 points
B 83% - 87.9% 415 - 439 points
B- 80% - 82.9% 400 - 414 points
C+ 78% - 79.9% 390 - 399 points
C 70% - 77.9% 350 - 389 points
D 60.0 - 69.9% 300 - 349 points
F 59.9% and below 299 points and below

Class participation will be considered in grading for those whose final course grade is close to the next letter grade. You can keep track of your progress throughout the semester in the online course management systems. Concerns about scores on a assignment or overall grades should be communicated to the instructor in a timely manner, so that there is time to consider possible remedies before the lesson or course ends.


GEOG 480 Course Schedule

imagePrintable Schedule

Below you will find a summary of the lessons and learning activities for this course.  Due dates for a given semester can be found in the course management system.

Lesson 0: Orientation
Date: Week 1
Objectives:

After completing the orientation you should be able to:

  • navigate between this course text and the online course management system.
  • articulate your expectations about how and what you will learn in your online course.
  • understand how and what instructors expect you to learn in your online course.
  • locate key information about the course, including assignments, due dates, technical information, places to get help, and course policies.
  • lodate detailed information about course policies, including academic integrity and accommodations for disabilities.
  • communicate with instructors and fellow students using a variety of online tools.
Readings:
  • Lesson 0 Orientation Material
Assignments:
  1. Complete the Orientation Survey (5 points).
  2. Post a Personal Introduction (5 points).
  3. Complete Lesson 0 Lab1 and Lab 2 (25 points).

 

Lesson 1: Introduction to Remote Sensing
Date: Week 2
Objectives:

After completing this lesson you should be able to:

  • Describe key milestones in the historical development of remote sensing.
  • Describe fundamental principles of electromagnetic radiation that are the basis for remote sensing.
  • Summarize the tole of remote sensing as a fundamental element of GIS analysis.
Readings:
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 1 - History and Scope of Remote Sensing
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 2 - Electromagnetic Radiation
Assignments:
  1. Complete the Lesson 1 Reading Quiz (10 points).
  2. Complete the Lesson 1 Lab Activity (30 points).
  3. Post to the Lesson 1 Graded Discussion (5 points).

 

Lesson 2: Sensors, Platforms, and Georeferencing
Date: Week 3
Objectives:

After completing this lesson you should be able to:

  • Describe various types of remote sensing instruments used to create base map imagery and elevation data, including film cameras, digital multispectral and hyperspectral sensors, lidar and radar.
  • Describe common platforms for deployment of sensors, including fixed-wing and rotary-wing aircrafts, satellites, and ground-based vehicles.
  • Identify appropriate sensor/platform combinations for a variety of geospatial applications.
  • Describe technologies and methods used to georeference remotely sensed data.
  • Explain the difference between a datum, coordinate system, and map projection.
  • Identify primary coordinate systems used for imagery and elevation data in the conterminous United States.
  • Identify metadata fields that describe georeferencing in a variety of image and elevation data sets acquired from public domain sources.
  • Import imagery and elevation data into ArcGIS in the correct geographic location, identifying and compensating for missing or incorrect information in the provided metadata.
Readings:
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 3 - Mapping Cameras
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 6 - Land Observation Satellites
Assignments:
  1. Complete the Lesson 2 Reading Quiz (10 points).
  2. Complete the Lesson 2 Lab Activity (30 points).
  3. Post to the Lesson 2 Graded Discussion (5 points).

 

Lesson 3: Production of Digital Image Base Maps
Date: Week 4
Objectives:

After completing this lesson you should be able to:

  • Describe the basic photogrammetric concepts used in orthorectification of imagery.
  • Explain the difference between simple georeferencing and rigorous orthorectification.
  • Perform both simple georeferencing and rigorous orthorectification of both airborne and satellite imagery.
  • Use web-based tools to locate and download remotely sensed imagery.
  • Identify common image data formats and perform conversions from one format to another.
  • Overlay imagery data with vector data layer to prepare for visualization and analysis.
Readings:
  • Jensen (2007) Remote Sensing of the Environment, 2nd Edition. Chapter 4 - Aerial Photography, Pages 124-125
  • Jensen (2007) Remote Sensing of the Environment, 2nd Edition. Chapter 6 - Photogrammetry
Assignments:
  1. Complete the Lesson 3 Reading Quiz (10 points).
  2. Complete the Lesson 3 Lab Activity (30 points).
  3. Post to the Lesson 3 Graded Discussion (5 points).

 

Lesson 4: Production of Digital Terrain Models
Date: Week 5
Objectives:

After completing this lesson you should be able to:

  • Describe the basic photogrammetric concepts used in creation of digital elevation models.
  • Explain the characteristics of, and processing methods used to produce, digital elevation models, digital terrain models, digital surface models, and topographic contours.
  • Discuss the strengths and weaknesses of various types of terrain representation in GIS analysis and applications.
  • Identify common artifacts and anomalies that occur in elevation data and methods used to correct them.
  • Identify common elevation data formats and perform conversions from one format to another.
  • Overlay elevation data with imagery and vector data to prepare for visualization and analysis.
Readings:
  • Maune (2007) Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition. Chapter 1 - Introduction
  • McGlone (2004) Manual of Photogrammetry, 5th Edition. Chapter 13 - Photogrammetric Products. Pages 993 - 1003
Assignments:
  1. Complete the Lesson 4 Reading Quiz (10 points).
  2. Complete the Lesson 4 Lab Activity (30 points).
  3. Post to the Lesson 4 Graded Discussion (5 points).

 

Lesson 5: Management of Imagery and Elevation Data
Date: Week 6
Objectives:

After completing this lesson you should be able to:

  • Describe methods used to store and manage large image data and terrain data sets for multiple, distributed users.
  • Discover, download, and import a variety of imagery and elevation datasets from federal, state, and local public domain sources.
  • Discuss the strengths and limitations of web-services vs. local hosting for both imagery and elevation datasets.
Readings:
Assignments:
  1. Complete the Lesson 5 Reading Quiz (10 points).
  2. Complete the Lesson 5 Lab Activity (30 points).
  3. Post to the Lesson 5 Graded Discussion (5 points).

 

Lesson 6: Validation of Imagery and Elevation Data
Date: Week 7
Objectives:

After completing this lesson you should be able to:

  • Describe and compare various federal and state standards for imagery and elevation data.
  • Compute a quantitative accuracy assessment in accordance with FGDC standards.
  • Perform visual quality assessment for both imagery and elevation data.
Readings:
  • Congalton and Green, (2009) Assessing the Accuracy of Remotely Sensed Data, 2nd edition. Chapter 3 - Positional Accuracy
Assignments:
  1. Complete the Lesson 6 Reading Quiz (10 points).
  2. Complete the Lesson 6 Lab Activity (30 points).
  3. Post to the Lesson 6 Graded Discussion (5 points).

 

Lesson 7: Basic Concepts of Image Analysis
Date: Week 8
Objectives:

After completing this lesson you should be able to:

  • Describe and perform image enhancement techniques to improve interpretability of imagery.
  • Describe common image interpretation tasks.
  • Describe eight elements of image interpretation.
  • Perform simple supervised and unsupervised classification using automated methods.
Readings:
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 10 - Image Resolution
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 12 - Image Classification, Sections 12.1 - 12.5, pages 335 - 367
  • Campbell (2011) Introduction to Remote Sensing, 5th Edition. Chapter 20 - Land Use and Land Cover
Assignments:
  1. Complete the Lesson 7 Reading Quiz (10 points).
  2. Complete the Lesson 7 Lab Activity (30 points).
  3. Post to the Lesson 7 Graded Discussion (5 points).

 

Lesson 8: Terrain Modeling and Analysis
Date: Week 9
Objectives:

After completing this lesson you should be able to:

  • Use both imagery and terrain data to create 3D visualization.
  • Perform a simple slope and aspect analysis.
  • Perform a simple flood inundation analysis.
  • Perform a simple line-of-sight analysis.
Readings:
  • Maune (2007) Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition. Chapter 4 - The National Elevation Dataset
  • Maune (2007) Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition. Chapter 11 - DEM User Applications
  • Maune (2007) Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition. Chapter 13 - DEM User Requirements
Assignments:
  1. Complete the Lesson 8 Reading Quiz (10 points).
  2. Complete the Lesson 8 Lab Activity (30 points).
  3. Post to the Lesson 8 Graded Discussion (10 points).

 

Final Project: Problem Solving with Imagery and Elevation Data
Date: Week 10
Objectives:

By the end of the final project, you should be able to:

  • use imagery, elevation data, and supplemental vector data for visualization and analysis related to the scenario.
Readings:
  • There are no required readings for this project.
Assignments:
  • Submit Final Project Report (100 points).

 


Course Policies

Technical Requirements

All minimum technical requirements for the MGIS program apply to this course. They can be found on the Online Geospatial Education Technical Requirements web page.

Please review the System Requirements for ArcGIS 10.4.x on the Esri website, including the requirements for Microsoft .NET and Internet Explorer. Check your computer's ability to run ArcGIS using the utility provided by Esri.

Mac users will need either Parallels, Bootcamp, or VMWare to run ArcGIS and other software required for the remote sensing courses. Please refer to instructions provided by Esri when installing ArcGIS on an Apple computer.

Please read the following additional criteria that apply specifically to the remote sensing curriculum:

  • You must have a reliable, robust high-speed Internet connection on a daily basis. The course may require you to watch streaming video as well as downloading files that may be as large as 1 GB.
  • It is not possible to email or send course materials on DVD. You cannot download entire lessons once a week to work offline.
  • General program technical specs call for at least 4 GB of RAM. For remote sensing course, 8 GB or higher is required.
  • A 32-bit Windows system will NOT run all of the required software. A 64-bit version of Windows is required.
  • Windows 7 64-bit is the recommended operating system.
  • Windows 8 64-bit is known to work, but because the instructors and staff use Windows 7, we do not provide step-by-step instructions in Windows 8. Our primary software vendors support Windows 8.
  • Windows 10 is known to exhibit problems other software used in the remote sensing courses; those vendors do not fully support Windows 10 at this time.
  • Mac users should be able to run all of the course software using a virtual Windows OS, such as Boot Camp or Parallels. Instructors are not able to offer support for Apple OS implementation of course software.
  • Mobile computing platforms (smartphones and tablets) can be used for reading online material and for some course communications, but are insufficient for lab work.
  • Laptop computers that meet minimum technical requirements can be used for this course.
  • SSD hard drives will yield the best performance with remote sensing software.
  • Storing lab and project data on an internally installed hard drive will yield the best performance with remote sensing software. USB flash drives are useful for archiving lab work, but should not be used for active projects.
  • An open GL-compatible video card is required.
  • Headsets (as described in the minimum technical requirements) are required.
  • A second monitor is not required, but if you have one available, you will find it very helpful.
  • You will need an administrator-level password for for your computer to install the software required for this course.

Need general technical assistance?

Click on Help in the Resources menu on the course website.

Citation and Reference Style

Academic Integrity and Citation Style Guide

Use of Software

In this course you are provided with access to both software and data. Under no circumstances should you use either the software or the data for purposes other than this course without written permission from the instructor.

Penn State E-mail Accounts

All official communications from the Penn State World Campus are sent to students' Penn State e-mail accounts. Be sure to check your Penn State account regularly, or forward your Penn State e-mail to your preferred e-mail account, so you don't miss any important information.

Academic Integrity

This course follows the Academic Integrity and Research Ethics guidelines of Penn State's College of Earth and Mineral Sciences. Penn State defines academic integrity as "the pursuit of scholarly activity in an open, honest and responsible manner." Academic integrity includes "a commitment not to engage in or tolerate acts of falsification, misrepresentation, or deception." In particular, the University defines plagiarism as "the fabrication of information and citations; submitting others' work from professional journals, books, articles, and papers; submission of other students' papers, lab results or project reports and representing the work as one's own." Penalties for violations of academic integrity may include course failure. To learn more, see Penn State's "Plagiarism Tutorial for Students."

Course Copyright

All course materials students receive or to which students have online access are protected by copyright laws. Students may use course materials and make copies for their own use as needed, but unauthorized distribution and/or uploading of materials without the instructor’s express permission is strictly prohibited. University Policy AD 40, the University Policy for the Recording of Classroom Activities and Note Taking Services addresses this issue. Students who engage in the unauthorized distribution of copyrighted materials may be held in violation of the University’s Code of Conduct, and/or liable under Federal and State laws.

Accommodations for Students with Disabilities

Penn State welcomes students with disabilities into the University's educational programs. Every Penn State campus has an office for students with disabilities. The Student Disability Resources (SDR) website provides contact information for every Penn State campus: Contacts for Disability Resources at all Penn State Campuses. For further information, please visit the Student Disability Resources (SDR) website.

In order to receive consideration for reasonable accommodations, you must contact the appropriate disability services office at the campus where you are officially enrolled. You will participate in an intake interview and provide documentation, see Applying for Services from Student Disability Resources. If the documentation supports your request for reasonable accommodations, your campus’s disability services office will provide you with an accommodation letter. Please share this letter with your instructors and discuss the accommodations with them as early in your courses as possible. You must follow this process for every semester that you request accommodations.

Mental Health Services

Whether you study on campus or online, mental health services are available to help you maintain your academic success. Penn State provides resources to address concerns including anxiety, depression, relationship difficulties, and stress, and provides mental health advocates who can help you. If you are a resident student, resources can be found at Counseling and Psychological Services. If you are a World Campus student, please see Student Resources for further information. If you or someone you know is experiencing a crisis situation, please call your local emergency service.

Military Personnel

Veterans and currently serving military personnel and/or spouses with unique circumstances (e.g., upcoming deployments, drill/duty requirements, disabilities, VA appointments, etc.) are welcome and encouraged to communicate these, in advance if possible, to the instructor in the case that special arrangements need to be made.

Inclement Weather

In case of weather-related delays at the University, this online course will proceed as planned. Your instructor will inform you if there are any extenuating circumstances regarding content or activity due dates in the course due to weather delays. If you are affected by a weather-related emergency, please contact your instructor at the earliest possible time to make special arrangements.

Connect Online with Caution

Penn State is committed to educational access for all. Our students come from all walks of life and have diverse life experiences. As with any other online community, the lack of physical interaction in an online classroom can create a false sense of anonymity and security. While one can make new friends online, digital relationships can also be misleading. Good judgment and decision making are critical when choosing to disclose personal information with others whom you do not know.

Deferred Grades

If you are prevented from completing this course within the prescribed amount of time, it is possible to have the grade deferred with the concurrence of the instructor. To seek a deferred grade, you must submit a written request (by e-mail or U.S. post) to your instructor describing the reason(s) for the request. It is up to your instructor to determine whether or not you will be permitted to receive a deferred grade. If, for any reason, the course work for the deferred grade is not complete by the assigned time, a grade of "F" will be automatically entered on your transcript.

Attendance

This course will be conducted entirely online. There will be no set class meeting times, but you will be required to complete assignments with specific due dates. Many of the assignments are open for multiple days. It is your responsibility to complete the work on time, which may require you to complete the work early if you plan to travel or participate in national holidays, religious observances, or University-approved activities.

If you need to request an exception due to a personal or medical emergency, contact the instructor directly as soon as you are able. The instructor's ability to accommodate you is dependent on the earliest possible notification. Such requests will be considered on a case-by-case basis.


Disclaimer

Please note that the specifics of this Course Syllabus can be changed at any time, and you will be responsible for abiding by any such changes. All changes will be communicated with you via e-mail, course announcement and/or course discussion forum.