AEMA310 - Statistical Methods 1
Course: AEMA310 (Statistical Methods 1) in AEMA department at McGill University.
Credit Hours: 3 • Academic Level: third-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 18 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the AEMA curriculum at McGill University, helping students progress through degree requirements.
Courses unlocked by AEMA310
- AGRI550 - Sustained Tropical Agriculture
- BINF531 - Statistical Bioinformatics
- FDSC525 - Food Quality Assurance
- AEMA610 - Statistical Methods 2
- PLNT460 - Plant Ecology
- PLNT635 - Advanced Plant Breeding
- AEMA411 - Experimental Designs 01
- AEMA414 - Temporal and Spatial Statistics 01
- AEMA611 - Experimental Designs 1
- AEMA614 - Temporal and Spatial Statistics 1
- AGEC425 - Applied Econometrics
- ANSC301 - Principles of Animal Breeding
- ANSC326 - Fundamentals of Population Genetics
- ENVB410 - Ecosystem Ecology
- ENVB506 - Quantitative Methods: Ecology
- NUTR311 - Professional Practice Stage 2B
- NUTR551 - Analysis of Nutrition Data
- NUTR450 - Research Methods: Human Nutrition
Academic Planning at McGill University
Students planning AEMA310 at McGill University should complete 0 prerequisites before enrollment.
Future Pathways: Completing AEMA310 enables enrollment in 18 advanced courses, opening specialization opportunities in the AEMA program.
This third-year course at McGill University integrates into structured degree pathways for AEMA programs, supporting timely graduation and academic progression.