GISC 3200K - 2022 Spring
Lectures
- Lecture 1: Introduction to programming
- How to set up Python for geospatial science and computing
- Programming pre-assessment
- Homework 1: Pre-assessment grading
- Quiz 1
- Lecture 2: Python in ArcGIS Pro 1
- Lecture 3: Python in ArcGIS Pro 2
- Exam 1
- Lecture 4: Literals, variables, and constants in Python
- Lecture 5: Numeral systems in Python
- Lecture 6: Basic data types in Python
- Lecture 7: Sequence data types in Python
- Lecture 8: Control statements in Python
- Exercise 10: Branch
- Exercise 11: Debug branching
- Exercise 12: Print the range of an integer using
if
- Exercise 13: Print the range of an integer using
if
,elif
, andelse
- Exercise 14:
for
and list - Exercise 15:
for
and forward indexing - Exercise 16:
for
and reverse indexing - Exercise 17: Summation using a
for
loop - Exercise 18: Summation using a
while
loop - Homework 4: Summation
- Homework 5: Random integers
- Lecture 9: Functions in Python
- Exercise 19: Define your first function
- Exercise 20: Non-returning function
- Exercise 21: Add function
- Exercise 22: Why functions?
- Exercise 23: Distance function
- Exercise 24: Yet another distance function
- Exercise 25: File-writing function
- Exercise 26: File-reading function
- Exercise 27: Directory-listing function
- Exercise 28: Create number files
- Exercise 29: Add numbers from the number files
- Exercise 30: Generate random integers
- Exercise 31: User-input function
- Exercise 32: Plot a GeoTIFF file
- Exercise 33: Calculate the average cell value of a GeoTIFF file
- Homework 6: Toxicode Python certificate of completion
- Exercise 34: How to extract cell values from a GeoTIFF file using NumPy
- Exercise 35: How to classify a GeoTIFF file using NumPy
- Exercise 36: How to detect changes between two GeoTIFF files using NumPy
- Exercise 37: How to save a NumPy array as a GeoTIFF file using GDAL
- Exercise 38: How to calculate the area of a certain class in a GeoTIFF file using NumPy
- Project proposals
- Class project 1: Rock-paper-scissors game
- Exam 2
- Quiz 2
- Class project 2: Thiessen polygon algorithm in Python (not completed)
- Quiz 3
- Review fundamentals
- Quiz 4
- Class project 3: Noise reduction in images