CSE160 - Data Programming
Course: CSE160 (Data Programming) in CSE department at University of Washington.
Credit Hours: 4 • Academic Level: first-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 22 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the CSE curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by CSE160
- INFO370 - Core Methods in Data Science
- CSE163 - Intermediate Data Programming
- HCDE410 - Human Data Interaction
- INFO376 - Introduction to Search and Recommender Systems
- STAT416 - Introduction to Machine Learning
- CSE416 - Introduction to Machine Learning
- ESS469 - Machine Learning in Geosciences
- HCDE310 - Interactive Systems Design and Technology
- HCDE438 - Web Technologies
- CHEM461 - Physical Chemistry Laboratory
- CHEME550 - Solar Energy and Photovoltaics
- EE241 - Programming for Signal and Information Processing Applications
- PHYS417 - Neural Network Methods for Signals in Engineering and Physical Sciences
- BIOEN217 - MATLAB Fundamentals for Bioengineers
- BIOEN484 - Computational Modeling and Simulation of Bioelectricity
- BIOEN325 - Biotransport I
- BIOEN316 - Biomedical Signals and Sensors
- BIOEN437 - Computational Systems Biology
- STAT452 - Statistics and Philosophy of Voting
- PHIL452 - Statistics and Philosophy of Voting
- CHEME450 - Solar Energy and Photovoltaics
- BIOEN438 - Biological Control Systems Engineering
Academic Planning at University of Washington
Students planning CSE160 at University of Washington should complete 0 prerequisites before enrollment.
Future Pathways: Completing CSE160 enables enrollment in 22 advanced courses for further study
This first-year course at University of Washington integrates into structured degree pathways for CSE programs, supporting timely graduation and academic progression.