Foundations of Data Structures and Algorithms is a comprehensive course tailored for individuals interested in developing high-performance data science applications. The course delves into the fundamental principles of data organization, efficient data processing, and algorithmic design.
Throughout the program, learners will explore a wide range of topics, including advanced data structures such as arrays, hash-tables, heaps, trees, and graphs. Additionally, the course covers essential algorithms for sorting, searching, traversal, and shortest path determination.
By the end of the course, participants will possess the skills and knowledge required to develop highly performant data science applications and effectively manage large volumes of data.
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This course covers a comprehensive array of topics, including algorithmic searching and sorting, tree and graph basics, dynamic programming, approximation algorithms, and advanced data structures, RSA, and quantum algorithms.
Explain fundamental concepts for algorithmic searching and sorting
Describe heap data structures and analyze heap components, such as arrays and priority queues
Design basic algorithms to implement sorting, selection, and hash functions in heap data structures
Define basic tree data structures and identify algorithmic functions associated with them
Execute traversals and create graphs within a binary search tree structure
Describe strongly connected components in graphs
Describe basic algorithm design techniques
Create divide and conquer, dynamic programming, and greedy algorithms
Understand intractable problems, P vs NP, and the use of integer programming solvers
Formulate linear and integer programming problems for solving commonly encountered optimization problems
Develop a basic understanding of how linear and integer programming problems are solved
Understand how approximation algorithms compute solutions that are guaranteed to be within some constant factor of the optimal solution
Understand how basic number-theoretic concepts are used to build the RSA crypto-system
Understand the foundations of quantum computation and its basic building blocks
Learn about how quantum computers can be used to break the RSA cryptosystem
Explore the differences between classical and quantum algorithms
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