GEO 802-V: Geospatial Technology, Online
Fall Semester
2016: Syllabus

730: Non-CJ students 

731: CJ ONLY students

If you are a CJ student, you must be enrolled in section 731. All other students must be enrolled in section 730.

Please let Dr. Gunn know if you are enrolled in the wrong section.

Course Instructor: Dr. Grant Gunn (gunngran@msu.edu) 
Lab Instructor: Albert Fulton (fultona2@msu.edu)

Syllabus Outline:

Course Description and Goals

Course Expectations

Course Materials

Course Organization and Grading

Lessons

Labs

Journal-article review

Lesson recaps

Exams

Course Policies

MSU privacy statement

Academic honesty
Plagiarism

Spartan Code of Honor

Grading

Calculating your final grade

Extra credit

GEO 802-V: SCHEDULE For Both Sections

- Lab and Exam Schedule: 730, Non-CJ Students

- Lab and Exam Schedule: 731, CJ Students

Course Description and Goals: 

GEO 802-V is a graduate-level introduction to geospatial technologies and tools, including Geographic Information Systems (GIS), remote sensing, cartography, and Global Positioning Systems (GPS). Most of you will go on to use at least one of these tools in your graduate studies and in your career. By the end of this class, you will be knowledgeable of and familiar with the programs use to implement these tools (for example, ArcGIS), and how these tools can be applied to your field of study.

Course Expectations: 

Activities in this course are highly variable and require students to download and use application‐specific freeware/data from the Internet, read and report on a chosen article, and research information on the Internet and in other sources. 

Assessment will be both through graded lab exercises/activities, exams, and through ungraded self-assessments. Assessment material will draw from lesson material, lab exercises, and activities.  The content will necessarily overlap and emphasize key concepts, however, it is critical that you diligently accomplish all weekly tasks.  

Important Note: Because this course involves viewing true- and false-color imagery during the Remote Sensing portions, color-blind students will be at a disadvantage at times. This cannot be avoided since aerial image interpretation relies specifically on visual acuity and color identification. Please contact your instructor if you feel this will impact your performance in the class.

Course Materials (Required and Recommended):


PLEASE NOTE: 
All course emails will be sent to your MSU (mail.msu.edu) account only via the D2L system. You will need to check your Michigan State account at least once a day for emails from your Instructors and Online Geography staff. If you need to, please set your Michigan State account to forward your emails to an account that you do check frequently.

Course Organization and Grading:

The course is managed by a team of faculty and staff and taught by two instructors: Dr. Grant Gunn is responsible for lesson instruction; Mr. Fulton is responsible for lab instruction. The course is delivered through a series of online lessons. Course assessments are accomplished through online exams (based on lessons) and online lab assignments (based on concepts covered in recent lessons).

Lessons

This course consists of 16 online lessons. You are expected to complete the lesson and readings before the next set of lessons and readings are assigned. Lesson/reading material will not be graded; however, ALL assigned material is subject to appear on the exams.

Lesson

Topic

Lab

0

Getting Started

--

1

Introduction to Geospatial Technology
- Geography
- Geospatial Technology
- Why ESRI?

Activity: Remote-server Logon
1. Getting Started with
GIS

2

Fundamentals of Geospatial Technology
- Digital Representations of the Real World
- Conceptualizations of Geographic Attributes
- Data Models
- Scale and Resolution
- Georeferencing
- Datums
- Social Justice in a Map Projection

1. Getting Started with GIS

3

Geographic Data & Databases
- Spatial Autocorrelation
- Collecting Geographic Data
- Metadata

- GIS Software Systems and their Architecture
- Geographic Databases
- Database Management Systems
- Geographic Functions
- Geographic Database Design
- Structuring Geographic Information
- Data Editing and Maintenance

1. Getting Started with GIS

2. Exploring Metadata, Data Mining, and Coordinate Conversion

4

Cartography 1

- Principles of Map Design
- Map Elements

3. Cartography I

5

Cartography 2
- Visual Variables and Using Visual Variables

- Color and Color Blindness

- Types of Maps
- Data Classification
- Converting from Color to Black and White
- Typography

4. Color in Cartography

6

Introduction to Remote Sensing
- Remote Sensing
- History of Remote Sensing
- Into the Future of Remote Sensing
- Electromagnetic Energy
- Electromagnetic Spectrum

--

7

Remote Sensing Platforms and Sensors

- Photographic Sensors
- The Airphoto Mission
- Stereoscopy and Marginalia
- Digital Sensors
- Digital Oblique Sensors

--

8

Scale, Displacement, and Distortion
- Image Scale
- Large Versus Small Scale
- Determination of Image Scale
- Distortion and Data Gaps
- Displacement

5. Scale Determination for non-CJ

5. Oblique Imagery Inspection
 for CJ

9

Image Resolution and Georectification
- Resolution
- Georectification
- Spatial Accuracy
- Primary Variables of Orthorectified Imagery

6. Image Georectification

10

Elements of Image Interpretation
- Image Interpretation
- Convergence of Evidence

7. Online Feature Identification

11

Land Cover/Use Interpretation
- Interpreting Urban and Built-up Land
- Interpreting Agricultural Land
- Interpreting Grassland
- Interpreting Shrubland
- Interpreting Forest Land
- Interpreting Water
- Interpreting Wetlands
- Interpreting Barren Land

8. Land Cover/Land Use Interpretation for non-CJ

8. Performing Queries and Generating Reports
for CJ

12

Global Positioning Systems
- Introduction
- GPS Segments
- Timekeeping
- Position Determination
- GPS Error
- Data Collection and Processing
- GPS Equipment
- Precision and Accuracy

9. GPS Field Planning for non-CJ

9. GPS Applications for CJ

13

Raster Functions
- Raster Data
- Raster Functions
- Modeling

10. Raster Surface Display and Analysis for non-CJ

10. Raster Density Mapping for CJ

14

Vector Analysis
- Query
- Measurement
- Transformations

11. Spatial Analysis with ArcGIS for non-CJ

11. Vector Hotspot Analysis for CJ

15

Application and Development of Desktop and Web GIS
- Desktop Versus Web GIS
- Open-source Versus Proprietary Software or Source Code
- Client-side Versus Server-side Functionality
- Mash-up
- The Cloud
- Acronyms and Lingo

12. Web Mapping

16

Future of Geospatial Technologies
- General Trends in Geospatial Technology, Data, and People
- Future of GPS
- Future of Remote Sensing

- Ethics & Geospatial Technology

--

Labs

In general, lab exercises will be assigned weekly (each Monday) and are typically due on Wednesday at 11:59pm (ET) of the following week. Please see the schedule for any variation in this frequency, especially toward the end of the semester.

Refer to the lab schedule posted on D2L and below in this document for a list of lab topics.

Important Note: You will see on the lab schedule that some assignments are optional. You can choose which of these assignments to complete that is most relevant to your studies. You must complete one of these assignments. One more can be completed for 10 points extra credit.

Journal-article review

This assignment will ask you to locate an article from an academic journal that explores/evaluates/reports on the use of geospatial technology. You will summarize the article, critique it, and offer your insights on how the information in the article is relevant to your area of research/profession. More detail on this assignment will be provided via its link on the course D2L site.

Lesson recaps

You are required to submit responses to 10 lesson recap assignments found in the lesson modules/folders (there are 16 lesson recaps available for you to do). Your response to each of these assignments will be due at 11:59 PM (Eastern Time) on the corresponding due date specified on the schedule.

If you complete more than 10 recaps (worth 5 points each), your your lowest scores will be dropped for your final-grade calculation. The highest number of total points you can earn on your combined lesson recap assignments is 50 points.

You are strongly encouraged to submit your completed work before the due date. If you experience difficulty with your submission, please email it directly to your Instructor by the due date.

Exams

There will be three exams  during the semester. The last exam is not cumulative; however, due to the nature of the material, some concepts will be cumulative and may appear on all of the exams. The exams will consist of T/F, multiple choice, and short essay questions.

The dates of the exams are listed on the course schedule page in this syllabus.

Each exam will be offered during a wide window (Eastern Time) on the dates specified. You may log into the exam at any time during that window. Once logged into the exam, you have a set time limit to complete your exam and turn it in. You must have submitted your exam by the time your limit is reached.  If you do not submit by the expiration of the allotted time your exam will be submitted automatically.

You are expected to treat the online exams as you would treat an exam in a traditional lecture class - in other words, no cheating of any kind. With this said, the exams are ‘open textbook’ and ‘open notes.’ Your Instructor and other administrators CAN and DO monitor your exam logs before, during, and after you have taken the exam - they can detect patterns consistent with cheating and have the authority to discuss the matter with you immediately and give you a ZERO if they see fit. Once you have turned in your exam, the computer automatically grades the multiple-choice and T/F questions. Your grade will be uploaded to your personal gradebook (under Assessments > Grades) and official grades, answers, and explanations for the exam questions will be provided (Assessments > Quizzes or return to your exam in Content) within five days of the exam close.

Makeup Exams. Makeup exams are only allowed in a FEW cases. If the exam is missed due to a medical/health emergency, a doctor’s note may be requested in order to arrange a makeup exam. Also, a makeup can be scheduled if the Instructor is notified at least ONE WEEK before the exam date of a scheduling conflict. You MUST contact your Instructor IMMEDIATELY to set up a makeup exam. Otherwise, you will miss your opportunity to take a makeup and receive 0 points for the exam.

The following applies to all assignments in this course:

Sources and citations. You must support your ideas and opinions with credible, properly referenced sources, with Chicago Manual of Style being the preferred format. You may alternatively use the format adopted by your discipline.

Plagiarism. We use Turnitin originality checker software to detect plagiarism in work submitted by students. If your response contains ANY reference material (including online lesson material or other students' responses) without being properly cited, you will be given a zero and we will submit an Academic Dishonesty Report to the Registrar’s Office, which then becomes a part of your permanent MSU academic record. You DO have access to the Turnitin report -- we recommend that you use this service to scan your work prior to submitting it for grades.

Late submissions. Work submitted within 1 day of the due date will be accepted, but graded for only three-quarters credit. Submissions will not be accepted after the 1-day-late window; these students will receive 0 points.

Missing submissions. Once you have uploaded a submission, you have the ability to exit the course and then return to the assignment dropbox to verify that your file has been submitted. Your activity is tracked in D2L and, once uploaded, files do not disappear. There is no excuse;  if you do not have a  submission, you will not receive a grade.

Course Policies:

MSU privacy statement (and use of course materials)

From the D2L Help Page (2016):

MSU expects that you will respect the rights of faculty and other students as you participate in the educational process. Participating in an D2L course means that you may have access to personal information and academic work produced by other students and faculty members, such as discussion board postings, drafts of papers and other work produced in the course. Academic norms and MSU policy require that you must not reveal any information about classmates, coursework content, or its authors to anyone outside the course.

Students should be aware that their use of D2L materials and communication tools in a particular course may be observed and recorded by the instructor of that course. These observations and records may include a student's access to online library materials linked through the Desire2Learn course website. Use of these observations and records must conform to the use and release of confidential student records as described in Michigan State University's Access to Student Information. Students may link to library resources directly, without linking through D2L, using the Library website.

ALL of our course material in D2L is copyrighted property of Michigan State University. This means that ALL course material in the course site is protected and, other than one copy of the material for your own personal use, this material should not be distributed or posted in any form.

If material (lessons/assignments/exams/et cetera) from the course site is posted outside of D2L it is considered misuse of the material, therefore, the course staff can give you a 0 (even after the fact) for the assignment from which the material came.

Academic honesty
From Academic Integrity: MSU Policies, Regulations and Ordinances Regarding Academic Honesty and Integrity (Michigan State University's Office of the Ombudsperson, Faculty FAQ, 2016):

Article 2.III.B.2 of the SRR states: “The student shares with the faculty the responsibility for maintaining the integrity of scholarship, grades, and professional standards.” In addition, (insert name of unit offering course) adheres to the policies on academic honesty specified in General Student Regulation 1.0, Protection of Scholarship and Grades; the all-University Policy on Integrity of Scholarship and Grades; and Ordinance 17.00, Examinations.

Therefore, unless authorized by your instructor, you are expected to complete all course assignments, including homework, lab work, quizzes, tests and exams, without assistance from any source. You are expected to develop original work for this course; therefore, you may not submit coursework you completed for another course to satisfy the requirements for this course.  Also, you are not authorized to use the www.allmsu.com Web site to complete any course work in this course. Students who violate MSU regulations on Protection of Scholarship and Grades will receive a failing grade in the course or on the assignment.

Faculty are required to report all instances in which a penalty grade is given for academic dishonesty.  Students reported for academic dishonesty are required to take an online course about the integrity of scholarship and grades.  A hold will be placed on the student's account until such time as the student completes the course.  This course is overseen by the Associate Provost for Undergraduate Education.

Exam and assignment protocol

Michigan State's Academic Honesty code specifies that procuring any course material with examination/assignment questions or answers is prohibited. This means that you may NOT use earlier quizzes or exams to study from or to work off of while taking your quiz or exam or submitting an assignment.

Plagiarism
Plagiarism is a specific type of academic misconduct defined as the effort to fundamentally use someone else's ideas as your own. Studies show that plagiarism is common at most universities, especially in online classes since it is easy to copy directly from the course site (or other websites) and put those exact words, or most of the words, in an answer. When completing written work, including answering essay questions on quizzes/exams and writing assignments, it is essential that you provide references where needed (that is, you properly cite all information that did not come from you) and that your responses are phrased in your OWN, original words. Failure to properly cite course materials (lessons and the textbook, if applicable) and using your own work previously submitted in another course without permission,  are also unacceptable. If your Instructor suspects that part or all of an answer has been plagiarized in any way or form, you will be contacted immediately--plagiarized content is given 0 points.

According to Michigan State University's Office of the Ombudsperson (2016),

Plagiarism may be accidental or blatant or self-plagiarism.  However, students are held to the same standards whether or not they knew they were plagiarizing or whether or not they were plagiarizing themselves or someone else.

It is your responsibility to read and understand course policies (like those provided here) and educate yourself so that you know what actions are considered acts of plagiarism (and academic misconduct, in general). A short quiz about academic plagiarism is located in the Getting Started folder of the course.  We strongly encourage you to read the associated materials and take the quiz prior to beginning the course. Please be conscientious of academic integrity and do not hesitate to contact your Instructor if you have any questions.

Spartan Code of Honor

As a Spartan, I will strive to uphold values of the highest ethical standard. I will practice honesty in my work, foster honesty in my peers, and take pride in knowing that honor is worth more than grades. I will carry these values beyond my time as a student at Michigan State University, continuing the endeavor to build personal integrity in all that I do. (honorcode.msu.edu)

Student conduct that is inconsistent with the academic pledge is addressed through existing policies, regulations, and ordinances governing academic honesty and integrity: MSU Policies, Regulations and Ordinances Regarding Academic Honesty and Integrity.

Any student who commits an act of academic misconduct (including academic dishonesty, violations of professional standards, or falsification of academic records; click here to read the University policy), will be reported to the University via the Academic Dishonestly Report portal. The type of misconduct and penalty, as well as a detailed account of the violation are submitted and will be accessible to the student’s Associate Dean, designee, and Instructor-of-Record.


Grading:

Calculating your final grade

Your final grade will be based on your 3 exam scores, 12 assignment scores, and 10 lesson recaps (of 16 possible).

- 3 Exams (100 points each) = 300 points
- 10 Labs = 170 points
- 1 Activity (Remote-server Logon) = 5 points

- 1 Journal-article Review = 25 points 

- 10 Lesson Recaps = 50 points

The maximum number of points for this class is 550.

Final grades will be based on the following STRAIGHT SCALE:

Percent

Grade

92-100

4.0

85-91

3.5

78-84

3.0

71-77

2.5

64-70

2.0

57-63

1.5

50-56

1.0

< 50

0.0

To view all your grades in this course, select Grades from the Assessments menu in D2L.

Extra credit

 

GEO 802-V: Geospatial Technology, Online        
Lesson and Exam Schedule, Fall Semester 2016, Both Sections

Start Date

Lesson

8/31

Getting Started and Course Introduction

8/31

1. Introduction to Geospatial Technology

Lesson 1 Recap: due W, 9/7

9/2

2. Fundamentals of Geospatial Technology

                        Lesson 2 Recap: due F, 9/9

9/2

3. Geographic Data & Databases

Lesson 3 Recap: due F, 9/9

M, September 5: University Closed

Entrance Questionnaire: due by 11:59pm ET on Tu, September 6

9/6

4. Cartography 1

Lesson 4 Recap: due Tu, 9/13

9/12

5. Cartography 2

                        Lesson 5 Recap: due M, 9/19

9/19

6. Introduction to Remote Sensing

                        Lesson 6 Recap: due M, 9/26

M, September 26: Last Day for a Tuition Refund

9/26

7. Remote Sensing Platforms and Sensors

Lesson 7 Recap: due M, 10/3

Exam 1: M, 10/3 – Tu, 10/4** -- Covers material from Lessons 1 to 5 and Labs 1 to 4

10/3

8. Scale, Displacement, and Distortion

                        Lesson 8 Recap: due M, 10/10

10/10

9. Image Resolution and Georectification

                        Lesson 9 Recap: due M, 10/17

10/17

10. Elements of Image Interpretation

Lesson 10 Recap: due M, 10/24

W, October 19: Middle of Semester

10/24

11. Land Cover/Use Interpretation

Lesson 11 Recap: due M, 10/31

10/31

12. Global Positioning Systems

Lesson 12 Recap: due M, 11/7

Exam 2: M, 11/7– Tu, 11/8** -- Covers material from Lessons 6 to 11 and Labs 5 to 8

11/7

13. Raster Functions

                        Lesson 13 Recap: due M, 11/14

Nov 13 - 19, Geography Awareness Week: MSU GEO will host activities all week.

11/14

14. Vector Analysis

*Nov 17, GAW Main Event: Lerner and Aaronson present When the Well Runs Dry @7pm (location TBD)

Lesson 14 Recap: due M, 11/21

11/21

15. Application and Development of Desktop and Web GIS

Lesson 15 Recap: due M, 11/28

Th, November 24 and F, November 25: University Closed

11/28

16. Future of Geospatial Technologies

Lesson 16 Recap: due M, 12/5

Exam 3: M, 12/12 – Tu, 12/13** -- Covers material from Lessons 12 to 16 and Labs 9 to 12

**Exams will run from 8 AM (ET) on the first date to 3 PM (ET) on the second date.

GEO 802-V: Geospatial Technology, Online
Lab and Exam Schedule, Fall Semester 2016, 730: Non-CJ Students

Due Date**

Lab

Points

9/6

Activity. Remote-server Logon

5

9/7

1. Learning ArcGIS Desktop (Esri Training Course)

20

9/14

2. Exploring Metadata, Data Mining, and Coordinate Conversion

20

9/21

3. Cartography 1

20

         M, September 26: Last Day for a Tuition Refund

9/28

4. Color in Cartography

20

M, 10/3 > Desoto password is reset. Your Instructor will email you a new password.

Exam 1: M, 10/3 – Tu, 10/4*

100

10/12

5. Scale Determination for non-CJ

10

W, October 19: Middle of Semester

10/19

6. Image Georectification

20

10/26        

7. Online Feature Identification***

10

11/2

8. Land Cover/Land Use Interpretation for non-CJ

20

M, 11/7 > Desoto password is reset. Your Instructor will email you a new password.

Exam 2: M, 11/7 – Tu, 11/8*

100

11/16

9. GPS Field Planning for non-CJ***

10

11/23

10. Raster Surface Display and Analysis for non-CJ

10

Th, November 24 and F, November 25: University Closed

11/30

11. Spatial Analysis with ArcGIS (Esri Training Courses) for non-CJ

20

12/2

12. Web Mapping***

10

12/2

Deadline for any extra credit GeoBlog posts

12/5

Journal Article Review

25

Exam 3: M, 12/12 – Tu, 12/13*

100

*Exams will run from 8 AM (ET) on the first date to 3 PM (ET) on the second date.
** All labs are due by 11:59 PM (ET) on the date provided.
***
Optional assignment. Students must complete one of these assignments.  One more assignment can be completed for extra credit.

GEO 802-V: Geospatial Technology, Online
Lab and Exam Schedule, Fall Semester 2016, 731: CJ Students

Due Date**

Lab

Points

9/6

Activity. Remote-server Logon

                        5

9/7

1. Learning ArcGIS Desktop (Esri Training Course)

                      20

9/14

2. Exploring Metadata, Data Mining, and Coordinate Conversion

                      20

9/21

3. Cartography 1

                      20

                                                                                M, September 26: Last Day for a Tuition Refund

9/28

4. Color in Cartography

                    20

M, 10/3 > Desoto password is reset. Your Instructor will email you a new password.

Exam 1: M, 10/3 – Tu, 10/4*

                    100

10/12

5. Oblique Imagery Inspection for CJ

                      10

10/19

6. Image Georectification

20

W, October 19: Middle of Semester

10/26        

7. Online Feature Identification***

10

11/2

8. Performing Queries and Generating Reports for CJ

10

M, 11/7 > Desoto password is reset. Your Instructor will email you a new password.

Exam 2: M, 11/7 – Tu, 11/8*

100

11/16

9. GPS Applications for CJ***

10

11/23

10. Raster Density Mapping for CJ

20

Th, November 24 and F, November 25: University Closed

11/30

11. Vector Hot Spot Analysis for CJ

20

12/2

12. Web Mapping***

10

12/2

Deadline for any extra-credit GeoBlog posts

12/5

Journal-article Review

25

Exam 3: M, 12/12 – Tu, 12/13*

100

*Exams will run from 8 AM (ET) on the first date to 3 PM (ET) on the second date.
** All labs are due by 11:59 PM (ET) on the date provided.
***
Optional assignment. Students must complete one of these assignments.  One more assignment can be completed for extra credit.