Design and Analysis of Algorithms
Who is this course for
Theory + Practice – Learn not only how algorithms work, but also how to implement them effectively in code.
Comprehensive Foundations – Build expertise in both classic and modern algorithmic strategies.
Career-Ready Skills – Strengthen problem-solving and analytical thinking, essential for roles in computer science, data science, and software engineering.
Course Overview
Design and Analysis of Algorithms, taught by Brian Dean, provides a modern, graduate-level introduction to algorithms. The course covers both the design techniques and the analysis tools used to evaluate algorithm performance. Learners will study algorithms for fundamental problem types, understand their mathematical underpinnings, and practice implementing them in code. With its balance of theory and application, this course equips learners with a strong foundation in computational problem-solving.
What You'll Learn
A shareable certificate to showcase on LinkedIn.
Proficiency in algorithm design and performance analysis.
Exposure to a wide range of standard algorithmic problems.
Enhanced computational thinking and coding ability.
