CSE163 - Intermediate Data Programming
Course: CSE163 (Intermediate Data Programming) in CSE department at University of Washington.
Credit Hours: 4 • Academic Level: first-year undergraduate course
Course Requirements: Requires 5 prerequisite courses
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 20 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the CSE curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by CSE163
- INFO370 - Core Methods in Data Science
- CSE412 - Introduction to Data Visualization
- EE242 - Signals, Systems, and Data I
- EE445 - Fundamentals of Optimization and Machine Learning
- EE418 - Network Security and Cryptography
- EE465 - Network and Web Security
- HCDE410 - Human Data Interaction
- STAT451 - Visualizing Data
- EE344 - Data-Driven Modeling and Machine Learning
- EE345 - Introduction to Foundations of Machine Learning
- EE468 - Software and Embedded Systems Security
- INFO340 - Client-Side Development
- INFO441 - Server-Side Development
- INFO443 - Software Architecture for Interactive Systems
- INFO474 - Interactive Information Visualization
- INFO376 - Introduction to Search and Recommender Systems
- STAT416 - Introduction to Machine Learning
- EE347 - Introduction to Robotics and Control Systems
- EE467 - Machine Learning for Cybersecurity
- CSE416 - Introduction to Machine Learning
Academic Planning at University of Washington
Students planning CSE163 at University of Washington should complete 5 prerequisites before enrollment.
Future Pathways: Completing CSE163 enables enrollment in 20 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.