STAT2605 - Probability Models
Course: STAT2605 (Probability Models) in STAT department at Carleton University.
Credit Hours: 0.5 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 6 prerequisite courses
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 13 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the STAT curriculum at Carleton University, helping students progress through degree requirements.
Courses unlocked by STAT2605
- ECON4021 - Advanced Macroeconomic Theory
- ECON4407 - Project Evaluation
- SYSC3503 - Communication Theory II
- SYSC3512 - Computer Communications
- SYSC4005 - Discrete Simulation/Modeling
- SYSC4416 - Artificial Intelligence in Engineering
- SYSC4602 - Computer Communications
- ECON4005 - Operations Research: Stochastic Models
- ECON4026 - Macroeconomic Dynamics
- SYSC4415 - Introduction to Machine Learning
- STAT4509 - Advanced Mathematical Modeling (Honours)
- ECON4020 - Advanced Microeconomic Theory
- MATH3808 - Mathematical Analyses of Games of Chance
Academic Planning at Carleton University
Students planning STAT2605 at Carleton University should complete 6 prerequisites before enrollment.
Future Pathways: Completing STAT2605 enables enrollment in 13 advanced courses, opening specialization opportunities in the STAT program.
This year 0 course at Carleton University integrates into structured degree pathways for STAT programs, supporting timely graduation and academic progression.