The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

What’s on CS111: The final covers programming basics, data structures, algorithms, recursion, and problem-solving, often through multiple-choice and coding questions. How to prepare: Review lectures ...

Concurrent data structures and memory management are critical components in the design of modern multi-core and parallel computing systems. These fields address the challenge of ensuring safe, ...

Courses Faculty & Staff What Can You Do With a Master's in Data Science? Courses Faculty & Staff What Can You Do With a Master's in Data Science? The Willamette MSDS program was designed to develop ...

Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...