Directly.me Analysis of AlgorithmsAre you interested in learning algorithms? If yes, take this free online course titled “Analysis of Algorithms” and learn how to add new features in any piece of software.
An algorithm is a step-by-step procedure expressed as a finite list of well defined instructions, used for calculations, automated reasoning and data processing. The computations start from an initial state / initial input and after proceeding through a finite number of well defined successive states, produce output and eventually terminate at a final state. The precise quantitative prediction of large structures is the basic purpose behind the analysis of algorithms. Algorithms enable you to add new features in any piece of software. Without good algorithms, you will have most trivial software programs.
This course will enable you make accurate quantitative calculations of the properties of large combinatorial structures. The theory has emerged over the past couple of decades as vital for the analysis of algorithms in computer science as well as for the study of scientific models in various other disciplines, including computational biology, statistical physics, information theory and probability theory.
Mathematicians, programmers and scientists, especially those specializing in robots, are prospective candidates to take this course. Science undergraduates who want to pursue advanced studies in Mechatronics can also benefit from this course. People from other fields can also take this course; however, a course in calculus and basic familiarity with programming in at least one modern language such as Python, Java or C is required. Knowledge of basic algorithms and data structures will also be helpful.
Table of contents:
This free online course in Algorithms focuses on following topics:
- Analysis of Algorithms
- Recurrences
- Solving recurrences with GFs
- Asymptotics
- The symbolic method
- Trees
- Permutations
- Strings and Tries
- Words and Mappings
Author Bio:
This course has been prepared by Robert Sedgewick, who is the William O. Baker Professor of Computer Science at Princeton University.
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Analysis of Algorithms
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Are you interested in learning algorithms? If yes, take this free online course titled “Analysis of Algorithms” and learn how to add new features in any piece of software.
An algorithm is a step-by-step procedure expressed as a finite list of well defined instructions, used for calculations, automated reasoning and data processing. The computations start from an initial state / initial input and after proceeding through a finite number of well defined successive states, produce output and eventually terminate at a final state. The precise quantitative prediction of large structures is the basic purpose behind the analysis of algorithms. Algorithms enable you to add new features in any piece of software. Without good algorithms, you will have most trivial software programs.
This course will enable you make accurate quantitative calculations of the properties of large combinatorial structures. The theory has emerged over the past couple of decades as vital for the analysis of algorithms in computer science as well as for the study of scientific models in various other disciplines, including computational biology, statistical physics, information theory and probability theory.
Mathematicians, programmers and scientists, especially those specializing in robots, are prospective candidates to take this course. Science undergraduates who want to pursue advanced studies in Mechatronics can also benefit from this course. People from other fields can also take this course; however, a course in calculus and basic familiarity with programming in at least one modern language such as Python, Java or C is required. Knowledge of basic algorithms and data structures will also be helpful.
Table of contents:
This free online course in Algorithms focuses on following topics:
- Analysis of Algorithms
- Recurrences
- Solving recurrences with GFs
- Asymptotics
- The symbolic method
- Trees
- Permutations
- Strings and Tries
- Words and Mappings
Author Bio:
This course has been prepared by Robert Sedgewick, who is the William O. Baker Professor of Computer Science at Princeton University.

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