Advanced Algorithms and Data Structures
Students design and trace complex algorithms, focusing on sorting, searching, and algorithmic efficiency. They evaluate the performance of different data structures in solving specific problems.
About This Topic
Students design and trace complex algorithms, focusing on sorting, searching, and algorithmic efficiency. They evaluate the performance of different data structures in solving specific problems.
Key Questions
- How do we measure algorithmic efficiency?
- When should a hash table be used instead of an array?
- What are the steps involved in a quicksort algorithm?
More in Complex Problem Solving with Code
Object-Oriented Programming
This topic introduces the principles of object-oriented programming, including encapsulation, inheritance, and polymorphism. Students apply these concepts to build modular and reusable code.
2 methodologies
Software Testing and Debugging
Students develop comprehensive testing strategies, including unit testing and boundary value analysis. They use debugging tools to identify and resolve logical and runtime errors.
2 methodologies