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9 changes: 9 additions & 0 deletions README.md
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# GEOG190 - Introduction to GIS


This is the syllabus page for Clark’s University’s Introduction to GIS
course.

Please see the [Overview](overview.md) page for the course schedule and
meeting times, and the [Policies](policies.md) page for details on
assessment, academic integrity policies, and other relevant details.
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# GEOG 190: Introduction to GIS


## Course Schedule

**Time**

- Lecture, MW 16:15-17:30 in [JC
103](https://apps.clarku.edu/classrooms/buildings/10/rooms/78)

- Lab, F 08:00-09:50 in [JC
105](https://apps.clarku.edu/classrooms/buildings/10/rooms/80)

**Instructors**

| Name | Office location | Office hours |
|---------------|-----------------|-------------------------|
| Lyndon Estes | Jefferson 201C | Tuesday 1-3 pm; by appt |
| Khadija Nisar | | |
| Ann Raj | | |

## Course Materials

### Texts

This course will use the following textbook, which is required:

Bolstad, Paul, and Steve Manson. *GIS Fundamentals: A First Text on
Geographic Information Systems, 7th Edition*. XanEdu, 2022.

The book is available as an eBook through the Clark bookstore or online
from [here](https://www.gisfundamentals.org/).

Other readings will be assigned and made available through Canvas.

### Software

Each student will receive a free license of ArcGIS Pro and ArcGIS
Online. We will likely also use some QGIS, which is free and can be
downloaded on your lab or own computer.

## Policies

Please see the detailed course policies page for information on grading,
communications, usage of AI, engaged time, and other important aspects
of the course.

## Semester outline

| Class | Date | Topic | Assignment/lab |
|-----------------|---------------------|--------------------------------------------------|--------------------------------------------------------------------------------|
| 1 | 8/26 | Course overview/Intro to GIS | Read Chapter 1 |
| 2 | 8/28 (Sitian Xiong) | Data models | Read Chapter 2 |
| Lab 1 | 8/30 | | Lab 1: Intro to ArcPro |
| 3 | 9/4 | Map projections and coordinate reference systems | Read Chapter 3; Lab 1? |
| 4 | 9/9 | Map projections and coordinate reference systems | Read Chapter 3 |
| 5 | 9/11 | Map-making and digitizing | Read: Chapter 4 |
| Lab 2 | 9/13 | | Lab 2: Projections |
| 6 | 9/16 | Map-making and digitizing | Read: Chapter 4 |
| 7 | 9/18 | GPS and satellite images | Read: Chapter 5 (193-204); Chapter 6 |
| Lab 3 | 9/20 | | Lab 3 & 4 (merge) Data entry/Digitizing/Topology |
| 8 | 9/23 | GPS and satellite images | Read: Chapter 6 |
| 9 | 9/25 | Digital data | Read: Chapter 7 |
| Lab 4 (6) | 9/27 | | Lab 4 (6): Digital data and images (need to add something on satellite images) |
| 10 | 9/30 | Digital data | |
| 11 | 10/2 | Attributes and tables | Read: Chapter 8 |
| Lab 5 (7) | 10/4 | | Tables |
| 12 | 10/7 | Attributes and tables | |
| 13/Exam 1 | 10/9 | | Take Home |
| Exam 1 | 10/11 | | |
| 14 | 10/16 | Intro to Spatial analysis | Read: Chapter 9 |
| Lab 6 (8,9) | 10/18 | | Spatial selection, spatial analysis, buffering, overlays |
| 15 | 10/21 | Raster analysis | Read: Chapter 10 |
| 16 | 10/23 | Raster analysis | |
| Lab 7 (10) | 10/25 | | Raster analysis |
| 17 | 10/28 | Terrain analysis | Read: Chapter 11 |
| 18 | 10/30 | Terrain analysis | |
| Lab 8 (11) | 11/1 | | Terrain analysis |
| 19 | 11/4 (away) | Spatial estimation | Read: Chapter 12 |
| 21 | 11/6 (away) | Spatial estimation | |
| Lab 9 (12,13?) | | | Interpolation and sampling, Cartographic modeling I? |
| 23 | 11/11 | Spatial models | Read: Chapter 13 |
| 24 | 11/13 | Spatial models | |
| Lab 10 (13?,14) | | | Cartographic modeling I?&II |
| 25 | 11/18 | Data Quality | Read: Chapter 14 |
| 26 | 11/20 | Final projects | Prep ideas/proposals |
| 27 | 11/25 | Final projects | Develop proposal |
| 28 | 12/2 | Final projects | Present proposal |
| 29 | 12/4 | Final projects | Work on project |
| 30 | 12/8 | Presentations | Work on project |
| Finals | 12/16 | Final project due | |
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# Course Policies


The policies for the class regarding grading, attendance,
communications, academic integrity, and University policies related to
accessibility, FERPA, and Title IX are provided below.

## Attendance

Attendance is mandatory. If you need to miss a class, please arrange
with one of the instructors in advance. There will be <u>**quizzes
related to concepts in the assigned reading**</u>**.** These will count
towards participation grades.

## Communications

Class communication will be handled via a dedicated Slack channel.
<u>**The instructors will not use or reply to email**</u>. Class
material will be handled through a combination of GitHub, Slack, and
Canvas.

## Assessment

Grades in this course will assessed according to four components:

| Component | Description | Percent of final grade |
|---------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------|
| Participation | Determined based on attendance (see next section), contributions to discussion, in-class problem-solving, and quizzes | 15% |
| Labs | There will be 10 labs during the semester | 50% |
| Exam | There will be one take-home midterm exam | 15% |
| Final project | The final project requires students to work in teams of two to apply the skills and concepts learned during the semester to analyze a set of data, both spatial and non-spatial, and present the results to the rest of the class during the finals week. | 20% |

Final letter frades will allocated as follows, after weighting.

| Grade Letter | Upper (+) | Middle | Lower (-) |
|--------------|-----------|--------|-----------|
| A | \>99 | 95-99 | 90-95 |
| B | 88-90 | 83-88 | 80-83 |
| C | 78-80 | 73-78 | 70-73 |
| D/F | 68-70 | 60-68 | \<60 (F) |

### Time Commitment

The following provides an approximate breakdown for the 180 total hours
you are expected to spend on this class over the course of the semester.

| Component | Time |
|:--------------|-----:|
| Lectures | 34 |
| Labs | 92 |
| Exam | 14 |
| Final project | 40 |

## Academic Integrity

University’s policies on academic integrity will be strictly enforced.
Plagiarism, cheating, lying, stealing, or falsification will not be
tolerated and will be referred to the University Administration. Please
go
[here](https://catalog.clarku.edu/content.php?catoid=32&navoid=2735#academic-integrity)
to learn more about this policy and what it entails.

### Use of Artificial Intelligence

The use of artificial intelligence, including large language models
(LLMs) and products based on them, such as ChatGPT, or other generative
models, such as generative adversarial networks, is not allowed in this
class. This prohibition applies to all labs, exams, or for final
projects, and quizzes, and for any stage of work related to each
(e.g. for research, brainstorming, formulating answers, etc.). Any use
of AI will constitute plagiarism, and will be referred to the University
Administration.

## Additional Information

### Student Accessibility Services

Clark University is committed to providing students with documented
disabilities equal access to all university programs and facilities.
Students are encouraged to register with Student Accessibility Services
(SAS) to explore and access accommodations that may support their
success in their coursework. SAS is located on the second floor of the
Shaich Family Alumni and Student Engagement Center (ASEC). Please
contact SAS at [email protected] with questions or to
initiate the registration process. For additional information, please
visit the [SAS
website](https://www.clarku.edu/offices/student-accessibility-services/).
FERPA Policy

### FERPA Policy

The link to Clark’s policy regarding student privacy under the Family
Education Rights and Privacy Act is available
[here](https://www.clarku.edu/offices/registrar/ferpa/).

### Title IX

Please be aware that all Clark University faculty and teaching
assistants are considered responsible employees, which means that if you
tell us about a situation involving the aforementioned offenses, we must
share that information with the Title IX Coordinator, Brittany Brickman
([email protected]). Although we must make that notification, you will,
for the most part, control how your case will be handled, including
whether or not you wish to pursue a formal complaint. Our goal is to
make sure you are aware of the range of options available to you and
have access to the resources you need.

If you wish to speak to a confidential resource who does not have this
reporting responsibility, you can contact Clark’s Center for Counseling
and Professional Growth (508-793-7678), Clark’s Health Center
(508-793-7467), or confidential resource providers on campus (see here
for a list, and for other resources).

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