STAT390 - Statistical Methods in Engineering and Science
Course: STAT390 (Statistical Methods in Engineering and Science) in STAT department at University of Washington.
Credit Hours: 4 • Academic Level: third-year undergraduate course
Course Requirements: Requires 2 prerequisite courses
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 46 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the STAT curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by STAT390
- EE520 - Spectral Analysis of Time Series
- FIN350 - Business Finance
- INFO370 - Core Methods in Data Science
- OPMGT301 - Principles of Operations Management
- STAT502 - Design and Analysis of Experiments
- STAT550 - Statistical Genetics I: Mendelian Traits
- ESS469 - Machine Learning in Geosciences
- EE418 - Network Security and Cryptography
- CSE446 - Machine Learning
- IS300 - Introduction to Information Systems
- INDE527 - Data Analytics for Systems Engineering
- STAT316 - Design of Experiments
- STAT340 - Introduction to Probability and Mathematical Statistics I
- STAT341 - Introduction to Probability and Mathematical Statistics II
- INDE316 - Design of Experiments
- STAT403 - Introduction to Resampling Inference
- STAT504 - Applied Regression
- STAT530 - Wavelets: Data Analysis, Algorithms, and Theory
- EE530 - Wavelets: Data Analysis, Algorithms, and Theory
- STAT520 - Spectral Analysis of Time Series
- STAT441 - Multivariate Statistical Methods
- QSCI403 - Introduction to Resampling Inference
- BIOST425 - Introduction to Nonparametric Statistics
- STAT425 - Introduction to Nonparametric Statistics
- ACCTG471 - Forensics and Ethical Decision Making in Accounting
- BECON300 - Managerial Economics
- EE416 - Random Signals for Communications and Signal Processing
- SBSE461 - Forest Management and Economics
- BIOEN337 - Mass Transport and Systems Laboratory
- BIOEN400 - Fundamentals of Bioengineering Design
- SOCWF390 - Introduction to Social Welfare Research
- STAT302 - Statistical Computing
- STAT452 - Statistics and Philosophy of Voting
- PHIL452 - Statistics and Philosophy of Voting
- STAT416 - Introduction to Machine Learning
- BIOST550 - Statistical Genetics I: Mendelian Traits
- CEE415 - Machine Learning for Civil Engineers
- CET515 - Machine Learning for Civil Engineers
- CET521 - Inferential Data Analysis for Engineers
- MKTG460 - Consumer Insights
- EE419 - Introduction to Computer-Communication Networks
- EE467 - Machine Learning for Cybersecurity
- INDE427 - Data Analytics for Systems Engineering
- ESRM461 - Forest Management and Economics
- INFO474 - Interactive Information Visualization
- CSE416 - Introduction to Machine Learning
Academic Planning at University of Washington
Students planning STAT390 at University of Washington should complete 2 prerequisites before enrollment.
Future Pathways: Completing STAT390 enables enrollment in 46 advanced courses for further study
This third-year course at University of Washington integrates into structured degree pathways for STAT programs, supporting timely graduation and academic progression.