STAT350 - Linear Models in Applied Statistics
Course: STAT350 (Linear Models in Applied Statistics) in STAT department at Simon Fraser University.
Credit Hours: 3 • Academic Level: third-year undergraduate course
Course Requirements: Requires 5 prerequisite courses
Prerequisite Chain Depth: 5 levels of foundational courses required
Future Opportunities: Unlocks 13 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 2 different departments
Course Type: Core pathway course - critical for degree progression
Part of the STAT curriculum at Simon Fraser University, helping students progress through degree requirements.
Courses unlocked by STAT350
- STAT410 - Statistical Analysis of Sample Surveys
- STAT430 - Statistical Design and Analysis of Experiments
- STAT440 - Learning from Big Data
- STAT460 - Bayesian Statistics
- STAT475 - Applied Discrete Data Analysis
- STAT652 - Statistical Learning and Prediction
- STAT360 - Advanced R for Data Science
- STAT403 - Intermediate Sampling and Experimental Design
- STAT645 - Applied Multivariate Analysis
- STAT675 - Applied Discrete Data Analysis
- STAT685 - Applied Time Series Analysis
- STAT300W - Statistics Communication
- STAT452 - Statistical Learning and Prediction
Academic Planning at Simon Fraser University
Students planning STAT350 at Simon Fraser University should complete 5 prerequisites before enrollment.
Course Sequence: This course requires a 5-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing STAT350 enables enrollment in 13 advanced courses, opening specialization opportunities in the STAT program.
This third-year course at Simon Fraser University integrates into structured degree pathways for STAT programs, supporting timely graduation and academic progression.