Data Structures - 605.202
Investigates abstract data types, recursion, searching and sorting algorithms, and basic algorithm analysis, emphasizing trade-offs among implementations of lists, stacks, queues, priority queues, trees, sets, and dictionaries. Includes four substantial programming assignments in a language-agnostic format.
What you'll learn
- Study abstract data types including lists, stacks, queues, priority queues, trees, sets, and dictionaries
- Apply recursion and algorithms for searching and sorting
- Perform basic algorithm analysis and compare implementation trade-offs
- Complete four substantial programming assignments in Java, C++, or Python
- Use this course to satisfy data structures or second-programming-course prerequisites for several JHU EP programs
Skills you'll gain
- Understand and implement core abstract data types such as lists, stacks, queues, priority queues, trees, sets, and dictionaries
- Use recursion effectively in data structure and algorithm design
- Implement and compare algorithms for searching and sorting
- Perform basic analysis of algorithm efficiency and data structure trade-offs
- Develop substantial programming projects in Java, C++, or Python using appropriate data structures
Prerequisites
- • One year of college mathematics
- • EN.605.201 Introduction to Programming Using Java or equivalent
- • EN.605.206 Introduction to Programming in Python or equivalent
Who this course is for
- → Prospective students for the Computer Science and Cybersecurity program who need a data structures course for admission
- → Prospective students for the Information Systems Engineering program who must satisfy a conditional data structures prerequisite
- → Prospective students for the Artificial Intelligence program who need a second course in programming
- → Students planning to take EN.605.621 Foundations of Algorithms and EN.605.649 Introduction to Machine Learning
Provider
Johns Hopkins Engineering for Professionals
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