GEOG313

ADV GEOSPAT'L ANALYTC W/PYTHON

This course is offered in a current or upcoming term. Check the official course schedule before registering.
Also listed under 2 other titles
  • COMPUTER PROG FOR GIS
  • LAB:COMPUTER PROG FOR GIS
Department
Geography
Terms offered
6
Data refreshed
Jun 30, 2026

Description

This course is a follow-on to Intro Python Programming (IDCE 302) offered as part of the Geographic Information Science, MS program (MSGIS). The course is designed to fill the gap for an advanced Python programming course at Clark with a focus on geospatial data analytics. Students who take this course will be introduced to the principles of open-source software for science, and how to develop reproducible workflows in Python. They will also learn to access geospatial data on various portals (with an emphasis on cloud data stores) from Python. The key focus of the course will be on geospatial data analytics and data visualization for the rest of the semester.The intended audiences for the course are PhD students in Geography, MSGIS students, and majors in Geography, GES, ESS, and Data Science.

Syllabi

Sign in with your @clarku.edu email to view syllabi.

Offering history & forecast 2016–2026

2008
2026
Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: 48% chance, medium confidence. Offered in 4 of 9 fall terms since 2018. Department course count rising about 5% per year. 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029 2029 Fall: 49% chance, medium confidence. Offered in 4 of 10 fall terms since 2017. Department course count rising about 4% per year. 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028 2028 Fall: 50% chance, medium confidence. Offered in 4 of 11 fall terms since 2016. Department course count rising about 3% per year. 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027 2027 Fall: 50% chance, medium confidence. Offered in 4 of 12 fall terms since 2015. Department course count rising about 3% per year. 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2026 1 section Not offered Not offered No data for this term
2025 1 section Not offered Not offered Not offered
2024 1 section Not offered Not offered Not offered
2023 1 section Not offered Not offered Not offered
2022 Not offered Not offered Not offered Not offered
2021 Not offered Not offered Not offered Not offered
2020 Not offered Not offered Not offered Not offered
2019 Not offered Not offered Not offered No data for this term
2018 Not offered Not offered Not offered No data for this term
2017 Not offered Not offered Not offered Not offered
2016 Not offered Not offered Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Mon, Thu, 2:50 PM–4:05 PM MACD002 20262025
  • Tue, Fri, 2:50 PM–4:05 PM JC103 2009-12008-1
  • Wed, 2:50 PM–4:05 PM JC105 2009-22008-2
Credit-bearing sections of GEOG313
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Hamed AlemohammadLecture1 4 of 24 enrolled22479
Fall 2025Hamed AlemohammadLecture1 11 of 24 enrolled22479
Fall 2024Hamed AlemohammadLecture1 16 of 24 enrolled22479
Fall 2023Hamed AlemohammadLecture1 11 of 24 enrolled22479
Fall 2009Henry BulleyLecture1 Enrollment not recorded; capacity 2025979
Fall 2008Henry BulleyLecture1 3 of 20 enrolled25979

No-credit sessions

No-credit sections of GEOG313
TermProfessorTypeCreditsEnrollmentCRN
Fall 2009Henry BulleyLab- Enrollment not recorded; capacity 2025980
Fall 2008Henry BulleyLab- 3 of 20 enrolled25980