Faculty Syllabus

GISC-2401 Data Acquisition and Analysis in Geographic Information Systems (GIS)


Christian Hartnett


Credit Spring 2026


Section(s)

GISC-2401-001 (16865)
LEC DIL ONL DIL

LAB DIL ONL DIL

Course Requirements

Data Acquisition and Analysis in Geographic Information Systems

Associate Professor Christian T. Hartnett, GISP

 


Course Information

Course: Data Acquisition and Analysis in Geographic Information Systems – Online
Credit Hours: 4 (3 lecture + 3 lab per week)
Course Platform: Blackboard, ACC Email, ArcGIS Online
Prerequisites: Introduction to GIS

Instructor Contact Information:

  • Email: christian.hartnett@austincc.edu (must use ACC email)
  • Office Hours: By appointment via Google Hangouts. Responses within 24 hours.

About the Instructor:
Christian Hartnett, GISP, has 8+ years teaching GIS at ACC and serves as VP of Practice Technology at SWCA Environmental Consultants. Background includes BA in Classics/Archaeology (UT Austin), MS in GIS for Archaeology (UCL), GIS Certificate (Texas State), MBA (LSU Shreveport), MS in Data Science (in progress - Eastern University).

 


Course Description

This course examines geographic information management, system life cycles, costs/benefits, and institutional considerations. Students will learn GIS applications for data modeling, analysis, and project-based problem solving using ArcGIS and complementary tools such as Microsoft Excel and Microsoft Access.

 


Required Texts / Materials

  • ArcGIS Pro 3.6.x capable PC (no Mac; Windows emulator may work) – Esri System Requirements
  • Reliable Internet & ACC email
  • USB drive ≥ 4GB
  • Microsoft Excel and Microsoft Access
  • Suggested, not required: PMBOK Guide, 5th Edition

 


Instructional Methodology

  • Asynchronous online lectures, slides, videos, quizzes, exercises, and projects.
  • Lab work completed independently with ArcGIS and Microsoft Office software.
  • Estimated effort: 8 hours/week.
  • Some weeks may include tutorials or ungraded exercises.
  • Students must complete Introduction to Quiz: Course Policy and Syllabus with a 100% before continuing onto Comp 1. Introduction to Quiz: Course Policy and Syllabus allows for unlimited attempts to score 100%.

NOTE: The professor of the course reserves the right to adjust the schedule, assignments/quizzes/tests at their discretion. Additionally, the professor reserves the right to reschedule weekly office hours, make-up office hours will be posted.

 


Course Schedule – Spring 2026

Projects:

  • Austin Project: Weeks 1–4
  • Arlington Project: Weeks 5–9
  • Routing Project: Weeks 10–17

Week

Dates

Topic

Learn

Assess / Assignment

1

01/19–01/25

Introduction

Course Orientation

Introduction Quiz; Austin Project Task 1

2

01/26–02/01

Data Models

Lecture & Readings

Quiz 1; Austin Project Task 2

3

02/02–02/08

Demographic Data

Lecture & Readings

Quiz 2; Austin Project Tasks 3–4

4

02/09–02/15

Austin Project Task 5 & Submit; Test 1

5

02/16–02/22

Environmental Data

Lecture & Readings

Quiz 3; Arlington Project Task 1

6

02/23–02/29

Infrastructure Data

Lecture & Readings

Quiz 4; Arlington Project Task 2

7

03/01–03/07

Administrative Data

Lecture & Readings

Quiz 5; Arlington Project Task 3

8

03/08–03/14

Quality Management

Lecture & Readings

Quiz 6; Arlington Project Task 4

9

03/15–03/21

Spring Break

Arlington Project Task 5 & Submit; Test 2

10

03/22–03/28

Project Management

Lecture & Readings

Routing Project 1 – Project Charter & Stakeholder Register

11

03/29–04/04

Statement of Work

Lecture & Readings

Routing Project 2 – Statement of Work

12

04/05–04/11

Data Management Plan

Lecture & Readings

Routing Project 3 – Data Management Plan

13

04/12–04/18

Work Breakdown Structure

Lecture & Readings

Routing Project 4 – Work Breakdown Structure

14

04/19–04/25

Geospatial Analysis

Lecture & Readings

Routing Project 5 – Data Collection & Management

15

04/26–05/02

Budgeting & Project Execution

Lecture & Readings

Routing Project 6 – Analysis

16

05/03–05/09

Presentation Mediums

Lecture & Readings

Routing Project 7 – Displaying Results & Post-Mortem

17

05/10–05/16

Final Wrap-Up

Final Project Submit & Reflection

 


Grading / Evaluation

Component

%

Quiz Average

10

Test Average

20

Project Average

70

Total

100%

Grade Scale:

  • A: 90–100
  • B: 80–89
  • C: 70–79
  • D: 60–69
  • F: 0–59

Quizzes:

  • Open-book, open-note, unproctored.
  • Unlimited attempts; average score used for grade calculation.

Tests:

  • Open-book, open-note, unproctored.
  • Only one attempt per test.
  • Two tests total (Week 4 & Week 9).

Projects:

  • Austin Project (Weeks 1–4), Arlington Project (Weeks 5–9), Routing Project (Weeks 10–17).
  • Build GIS skills, analysis, and project presentation.

Final Exam: None

 


Student Learning Outcomes

By the end of the course, students will be able to:

  1. Explain metadata, data infrastructure, and data evaluation.
  2. Collect, analyze, and query geographic data.
  3. Use GIS in decision making and project execution.
  4. Design a data acquisition project using proper datums, coordinate systems, and projections.
  5. Develop, analyze, and present GIS projects with real-world applications.

 


Policies

  • Scholastic dishonesty, Title IX, ADA accommodations, and safety policies per ACC standard.
  • Distance Learning Expectations: Self-motivation, time management, and accountability.
  • Technology Requirements: Reliable internet, ACC email, PC capable of running ArcGIS Pro 3.6.x, USB storage, Microsoft Excel, and Microsoft Access.

 


Student Support & Resources


 

 


Required Texts / Materials

  • ArcGIS Pro 3.6.x capable PC (no Mac; Windows emulator may work) – Esri System Requirements
  • Reliable Internet & ACC email
  • USB drive ≥ 4GB
  • Microsoft Excel and Microsoft Access
  • Suggested, not required: PMBOK Guide, 5th Edition

 


Instructional Methodology

  • Asynchronous online lectures, slides, videos, quizzes, exercises, and projects.
  • Lab work completed independently with ArcGIS and Microsoft Office software.
  • Estimated effort: 8 hours/week.
  • Some weeks may include tutorials or ungraded exercises.
  • Students must complete Introduction to Quiz: Course Policy and Syllabus with a 100% before continuing onto Comp 1. Introduction to Quiz: Course Policy and Syllabus allows for unlimited attempts to score 100%.

Readings

No textbook is required. All reading will be as assigned by professor.


Course Subjects

  •  

Week

Dates

Topic

Learn

Assess / Assignment

1

01/19–01/25

Introduction

Course Orientation

Introduction Quiz; Austin Project Task 1

2

01/26–02/01

Data Models

Lecture & Readings

Quiz 1; Austin Project Task 2

3

02/02–02/08

Demographic Data

Lecture & Readings

Quiz 2; Austin Project Tasks 3–4

4

02/09–02/15

Austin Project Task 5 & Submit; Test 1

5

02/16–02/22

Environmental Data

Lecture & Readings

Quiz 3; Arlington Project Task 1

6

02/23–02/29

Infrastructure Data

Lecture & Readings

Quiz 4; Arlington Project Task 2

7

03/01–03/07

Administrative Data

Lecture & Readings

Quiz 5; Arlington Project Task 3

8

03/08–03/14

Quality Management

Lecture & Readings

Quiz 6; Arlington Project Task 4

9

03/15–03/21

Spring Break

Arlington Project Task 5 & Submit; Test 2

10

03/22–03/28

Project Management

Lecture & Readings

Routing Project 1 – Project Charter & Stakeholder Register

11

03/29–04/04

Statement of Work

Lecture & Readings

Routing Project 2 – Statement of Work

12

04/05–04/11

Data Management Plan

Lecture & Readings

Routing Project 3 – Data Management Plan

13

04/12–04/18

Work Breakdown Structure

Lecture & Readings

Routing Project 4 – Work Breakdown Structure

14

04/19–04/25

Geospatial Analysis

Lecture & Readings

Routing Project 5 – Data Collection & Management

15

04/26–05/02

Budgeting & Project Execution

Lecture & Readings

Routing Project 6 – Analysis

16

05/03–05/09

Presentation Mediums

Lecture & Readings

Routing Project 7 – Displaying Results & Post-Mortem

17

05/10–05/16

Final Wrap-Up

Final Project Submit & Reflection


Student Learning Outcomes/Learning Objectives

Student Learning Outcomes

By the end of the course, students will be able to:

  1. Explain metadata, data infrastructure, and data evaluation.
  2. Collect, analyze, and query geographic data.
  3. Use GIS in decision making and project execution.
  4. Design a data acquisition project using proper datums, coordinate systems, and projections.
  5. Develop, analyze, and present GIS projects with real-world applications.

 


Policies

  • Scholastic dishonesty, Title IX, ADA accommodations, and safety policies per ACC standard.
  • Distance Learning Expectations: Self-motivation, time management, and accountability.
  • Technology Requirements: Reliable internet, ACC email, PC capable of running ArcGIS Pro 3.6.x, USB storage, Microsoft Excel, and Microsoft Access.

 


Student Support & Resources


 


Office Hours

W 6:00 PM - 7:00 PM Online

NOTE Via Google Meet. Notice of link sent out prior to start of office hours.

W 6:00 PM - 7:00 PM Online

NOTE Via Google Meet. Notice of link sent out prior to start of office hours.

Published: 01/21/2026 17:55:49