Teaching Philosophy

I am passionante about geoinformatics and the interconnected technologies that drive my research; since I teach within this domain, my excitement fuses with my teaching to bring course material to life. This coupling of my interests, research, and teaching with real examples, demonstrations, and exercises emphasize the applicability of often abstract thinking, which can inspire a profound desire and capacity for learning. I strive to incrementally develop students such that the theoretical basis, vocabulary, and practical skills learned become connected and understood, not just memorized. My goal is to be easily accessibility for consultation and to provide constructive criticism in a timely fashion to complete the feedback-loop in the learning cycle. Fostering these hallmarks creates an encouraging and constructive educational atmosphere that lends itself to the positive development of independent thinkers and learners.



11 Dec 2017: 1. Workspaces, objects, indexing, basics
11 Dec 2017: 2. Conditions, looping, cat/paste statements and functions
11 Dec 2017: 3. Advanced functions and environments
11 Dec 2017: 4. Arrays and plotting
11 Dec 2017: 5. Character data handling and text files
11 Dec 2017: 6. Regression, t-tests, ANOVA, Chi-square

xx xxx 2017: 7. Statistical distributions
xx xxx 2017: 8. Working with files and data restructuring
xx xxx 2017: 9. Spatial analysis
xx xxx 2017: 10.System commands, links with SAGA, other packages