This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.
Algorithms, Part I프린스턴 대학교
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Princeton University is a private research university located in Princeton, New Jersey, United States. It is one of the eight universities of the Ivy League, and one of the nine Colonial Colleges founded before the American Revolution.
- 5 stars90.37%
- 4 stars7.94%
- 3 stars0.93%
- 2 stars0.23%
- 1 star0.50%
ALGORITHMS, PART I의 최상위 리뷰
Excellent course, great material and the structure of the class allowed me to learn in depth and practice independently. I also appreciated the complexity of the automated assignment evaluation.
An amazing course which enables one to appreciate and analyze various algorithms used in various applications. Must take for anyone who wants to build a career in computer science or related fields.
The course lost a lot without tests. Theory is great. Assignments are pain in the azz - too much is assumed here and there. You must resubmit like a dozen of times to figure out what is wrong.
Excelent lessons, occasionally references lessons not included in the course but overall great lessons. The assignments are rather challenging but you are given all the tools to complete them.
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I have no familiarity with Java programming. Can I still take this course?
Which algorithms and data structures are covered in this course?
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I am/was not a Computer Science major. Is this course for me?
How does this course differ from Design and Analysis of Algorithms?
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