CMPSC132 - Programming and Computation II: Data Structures
Course: CMPSC132 (Programming and Computation II: Data Structures) in CMPSC department at Pennsylvania State University.
Credit Hours: 3 • Academic Level: first-year undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 4 levels of foundational courses required
Future Opportunities: Unlocks 17 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the CMPSC curriculum at Pennsylvania State University, helping students progress through degree requirements.
Courses unlocked by CMPSC132
- DS310 - Machine Learning for Data Analytics
- DS330 - Visual Analytics for Data Sciences
- DS410 - Programming Models for Big Data
- A-I305 - Algorithmic Foundations for Artificial Intelligence
- A-I370 - Problem Formulation and Automated Problem Solving
- CMPSC410 - Programming Models for Big Data
- CMPSC445 - Applied Machine Learning in Data Science
- HCDD331 - Foundations of Human-Centered Design
- CMPSC222 - Advanced Data Structures and Algorithms in C
- CMPSC221 - Object Oriented Programming with Web-Based Applications
- CMPSC263 - Blockchain and Modern Web Development
- CMPSC448 - Machine Learning and Algorithmic AI
- CMPSC465 - Data Structures and Algorithms
- IST256 - Programming for the Web
- CMPSC330 - Advanced Programming in C++
- CMPSC462 - Data Structures
- DS305 - Algorithmic Methods and Tools
Academic Planning at Pennsylvania State University
Students planning CMPSC132 at Pennsylvania State University should complete 3 prerequisites before enrollment.
Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing CMPSC132 enables enrollment in 17 advanced courses for further study
This first-year course at Pennsylvania State University integrates into structured degree pathways for CMPSC programs, supporting timely graduation and academic progression.