Robert Sedgewick

Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton, where he was the founding chair of the Department of Computer Science. He received the Ph.D. degree from Stanford University, in 1975. Prof. Sedgewick also served on the faculty at Brown University and has held visiting research positions at Xerox PARC, Palo Alto, CA, Institute for Defense Analyses, Princeton, NJ, and INRIA, Rocquencourt, France. He is a member of the board of directors of Adobe Systems. Prof. Sedgewick's interests are in analytic combinatorics, algorithm design, the scientific analysis of algorithms, curriculum development, and innovations in the dissemination of knowledge. He has published widely in these areas and is the author of several books.

Coursera

Princeton University

Algorithms, Part II (Coursera)

CS: Software Engineering CS: Theory

Dive deep into the world of advanced algorithms and data structures with 'Algorithms, Part II' on Coursera. This course is designed for serious programmers who want to understand complex applications and improve their scientific performance analysis skills, particularly through Java implementations. From graph processing to string algorithms, this course will equip you with essential knowledge to tackle sophisticated programming challenges.

Jun 22nd 2026

5-12 Weeks

Java Algorithms Data Structures

Coursera

Princeton University

Analytic Combinatorics (Coursera)

CS: Theory Sci: Mathematics

Dive into the world of Analytic Combinatorics with this comprehensive online course. Master the symbolic method to understand functional relations among ordinary, exponential, and multivariate generating functions. Explore techniques in complex analysis to derive precise asymptotic results. This free course is ideal for those interested in combinatorial structures and their quantitative analysis.

Jun 15th 2026

5-12 Weeks

Math Calculus Analytic Combinatorics

Coursera

Princeton University

Computer Science: Programming with a Purpose (Coursera)

CS: Programming Computer Science

Embark on an educational journey that bridges the gap between traditional education and modern technological advancements. 'Computer Science: Programming with a Purpose' is your gateway to understanding programming fundamentals, irrespective of your field of study. This course is tailored for students seeking to harness the potential of coding to solve real-world problems, understand computational thinking, and explore how computer science impacts various disciplines including arts, social sciences, and humanities.

Jun 15th 2026

5-12 Weeks

Programming Algorithms Computer Science

Coursera

Princeton University

Computer Science: Algorithms, Theory, and Machines (Coursera)

Computer Science

Dive into the fascinating world of Computer Science with our in-depth course designed for programmers comfortable with Java. This course delves into complex subjects such as algorithms, theoretical foundations, and the inner workings of machines. Based on 'Computer Science: An Interdisciplinary Approach', this course aims to demystify computation and provide a deep understanding of computer science's intellectual underpinnings.

Jun 15th 2026

5-12 Weeks

Programming Computing Algorithms

Coursera

Princeton University

Analysis of Algorithms (Coursera)

CS: Theory

Dive into the world of algorithmic analysis with our 'Analysis of Algorithms' course. Gain a deep understanding of generating functions, real asymptotics, and the symbolic method to make precise quantitative predictions about large combinatorial structures. Perfect for those interested in computer science, mathematics, and data science.

Jun 8th 2026

5-12 Weeks

Math Calculus Analysis

Coursera

Princeton University

Algorithms, Part I (Coursera)

CS: Software Engineering CS: Theory

Dive into the core principles of computer science with 'Algorithms, Part I' – a foundational online course designed for serious programmers. This course explores elementary data structures, sorting algorithms, searching techniques, and more, all implemented in Java to enhance your understanding and practical skills. Get ready to unlock the secrets behind efficient coding and problem-solving.

Jun 1st 2026

5-12 Weeks

Programming Java Algorithms

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