The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).
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Специализация АлгоритмыСтэнфордский университетОб этом курсе
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Курс 4 из 4 в программе
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Английский
Субтитры: Английский
Приобретаемые навыки
Data StructureAlgorithmsNp-CompletenessDynamic Programming
Карьерные результаты учащихся
62%
начал новую карьеру, пройдя эти курсы
50%
получил значимые преимущества в карьере благодаря этому курсу
12%
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Курс 4 из 4 в программе
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Прибл. 11 часов на выполнение
Английский
Субтитры: Английский
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Стэнфордский университет
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Программа курса: что вы изучите
3 ч. на завершение
Week 1
The Bellman-Ford algorithm; all-pairs shortest paths.
3 ч. на завершение
14 видео ((всего 151 мин.)), 4 материалов для самостоятельного изучения, 2 тестов
14 видео
Optimal Substructure10мин
The Basic Algorithm I8мин
The Basic Algorithm II10мин
Detecting Negative Cycles9мин
A Space Optimization12мин
Internet Routing I [Optional]11мин
Internet Routing II [Optional]6мин
Problem Definition7мин
Optimal Substructure12мин
The Floyd-Warshall Algorithm13мин
A Reweighting Technique14мин
Johnson's Algorithm I11мин
Johnson's Algorithm II11мин
4 материала для самостоятельного изучения
Week 1 Overview10мин
Overview, Resources, and Policies10мин
Lecture Slides10мин
Optional Theory Problems (Week 1)10мин
2 практических упражнения
Problem Set #110мин
Programming Assignment #12мин
3 ч. на завершение
Week 2
NP-complete problems and exact algorithms for them.
3 ч. на завершение
11 видео ((всего 122 мин.)), 2 материалов для самостоятельного изучения, 2 тестов
11 видео
Reductions and Completeness13мин
Definition and Interpretation of NP-Completeness I10мин
Definition and Interpretation of NP-Completeness II7мин
The P vs. NP Question9мин
Algorithmic Approaches to NP-Complete Problems12мин
The Vertex Cover Problem8мин
Smarter Search for Vertex Cover I9мин
Smarter Search for Vertex Cover II7мин
The Traveling Salesman Problem14мин
A Dynamic Programming Algorithm for TSP12мин
2 материала для самостоятельного изучения
Week 2 Overview10мин
Optional Theory Problems (Week 2)10мин
2 практических упражнения
Problem Set #210мин
Programming Assignment #22мин
2 ч. на завершение
Week 3
Approximation algorithms for NP-complete problems.
2 ч. на завершение
6 видео ((всего 68 мин.)), 1 материал для самостоятельного изучения, 2 тестов
6 видео
Analysis of a Greedy Knapsack Heuristic I7мин
Analysis of a Greedy Knapsack Heuristic II9мин
A Dynamic Programming Heuristic for Knapsack11мин
Knapsack via Dynamic Programming, Revisited10мин
Ananysis of Dynamic Programming Heuristic15мин
1 материал для самостоятельного изучения
Week 3 Overview10мин
2 практических упражнения
Problem Set #310мин
Programming Assignment #32мин
3 ч. на завершение
Week 4
Local search algorithms for NP-complete problems; the wider world of algorithms.
3 ч. на завершение
11 видео ((всего 124 мин.)), 3 материалов для самостоятельного изучения, 3 тестов
11 видео
The Maximum Cut Problem II9мин
Principles of Local Search I8мин
Principles of Local Search II10мин
The 2-SAT Problem14мин
Random Walks on a Line16мин
Analysis of Papadimitriou's Algorithm14мин
Stable Matching [Optional]15мин
Matchings, Flows, and Braess's Paradox [Optional]13мин
Linear Programming and Beyond [Optional]11мин
Epilogue1мин
3 материала для самостоятельного изучения
Week 4 Overview10мин
Optional Theory Problems (Week 4)10мин
Info and FAQ for final exam10мин
3 практических упражнения
Problem Set #410мин
Programming Assignment #42мин
Final Exam20мин
Рецензии
Лучшие отзывы о курсе SHORTEST PATHS REVISITED, NP-COMPLETE PROBLEMS AND WHAT TO DO ABOUT THEM
от партнера AA27 февр. 2017 г.
This challenging course improves understanding of algorithms and is intellectually stimulating. I learnt the theory behind algorithms and how they are applied to solve real world problems.
от партнера AS22 авг. 2018 г.
This is the most challenging course in this specialization. Assignments as well as test questions require good amount of thinking. One of the best courses I did on Coursera.
от партнера ML12 нояб. 2019 г.
very interesting course in Algorithms Specialization. It is sufficient to arouse interest in studying advance algorithm.\n\nThank you for your teaching, Professor Tim.
от партнера JE27 дек. 2019 г.
I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.
Специализация Алгоритмы: общие сведения
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
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Is financial aid available?
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