LFS252 - Land, Food, and Community: Quantitative Data Analysis
Course: LFS252 (Land, Food, and Community: Quantitative Data Analysis) in LFS department at University of British Columbia.
Credit Hours: 0 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 13 advanced courses for further study
Part of the LFS curriculum at University of British Columbia, helping students progress through degree requirements.
Courses unlocked by LFS252
- STAT300 - Intermediate Statistics for Applications
- ECON485 - Political Economy
- ECON425 - Advanced Econometrics
- ECON467 - Economics of Crime and Policing
- APBI463 - Insects in Agroecosystems
- FRE385 - Quantitative Methods for Business and Resource Management
- FRE430 - Spatial Data Science
- FRE326 - Empirical Methods for Food and Resource Economics
- ECON326 - Introduction to Econometrics II
- FNH303 - Food Product Development
- FRE474 - Causal Inference in the Economics of Natural Resource Conservation
- FNH403 - Food Laws, Regulations and Quality Assurance
- APBI462 - Conservation Agriculture and Biodiversity Monitoring
Academic Planning at University of British Columbia
Students planning LFS252 at University of British Columbia should complete 1 prerequisite before enrollment.
Future Pathways: Completing LFS252 enables enrollment in 13 advanced courses, opening specialization opportunities in the LFS program.
This year 0 course at University of British Columbia integrates into structured degree pathways for LFS programs, supporting timely graduation and academic progression.