Об этом курсе: 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).
Для кого этот курс: Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year.
Автор: Stanford University
Преподаватели: Tim Roughgarden, Professor
Computer Science
| Основные сведения | Курс 4 из 4 — Algorithms Specialization |
| Уровень | Учащийся среднего уровня |
| Выполнение | 4 weeks of study, 4-8 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Week 1
The Bellman-Ford algorithm; all-pairs shortest paths.
14 видео, 4 материала для самостоятельного изучения
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture Slides
- Видео: Optimal Substructure
- Видео: The Basic Algorithm I
- Видео: The Basic Algorithm II
- Видео: Detecting Negative Cycles
- Видео: A Space Optimization
- Видео: Internet Routing I [Optional]
- Видео: Internet Routing II [Optional]
- Видео: Problem Definition
- Видео: Optimal Substructure
- Видео: The Floyd-Warshall Algorithm
- Видео: A Reweighting Technique
- Видео: Johnson's Algorithm I
- Видео: Johnson's Algorithm II
- Reading: Optional Theory Problems (Week 1)
Оцениваемый: Problem Set #1
Оцениваемый: Programming Assignment #1
НЕДЕЛЯ 2
Week 2
NP-complete problems and exact algorithms for them.
11 видео, 2 материала для самостоятельного изучения
- Reading: Week 2 Overview
- Видео: Reductions and Completeness
- Видео: Definition and Interpretation of NP-Completeness I
- Видео: Definition and Interpretation of NP-Completeness II
- Видео: The P vs. NP Question
- Видео: Algorithmic Approaches to NP-Complete Problems
- Видео: The Vertex Cover Problem
- Видео: Smarter Search for Vertex Cover I
- Видео: Smarter Search for Vertex Cover II
- Видео: The Traveling Salesman Problem
- Видео: A Dynamic Programming Algorithm for TSP
- Reading: Optional Theory Problems (Week 2)
Оцениваемый: Problem Set #2
Оцениваемый: Programming Assignment #2
НЕДЕЛЯ 3
Week 3
Approximation algorithms for NP-complete problems.
6 видео, 1 материал для самостоятельного изучения
- Reading: Week 3 Overview
- Видео: Analysis of a Greedy Knapsack Heuristic I
- Видео: Analysis of a Greedy Knapsack Heuristic II
- Видео: A Dynamic Programming Heuristic for Knapsack
- Видео: Knapsack via Dynamic Programming, Revisited
- Видео: Ananysis of Dynamic Programming Heuristic
Оцениваемый: Problem Set #3
Оцениваемый: Programming Assignment #3
НЕДЕЛЯ 4
Week 4
Local search algorithms for NP-complete problems; the wider world of algorithms.
11 видео, 3 материала для самостоятельного изучения
- Reading: Week 4 Overview
- Видео: The Maximum Cut Problem II
- Видео: Principles of Local Search I
- Видео: Principles of Local Search II
- Видео: The 2-SAT Problem
- Видео: Random Walks on a Line
- Видео: Analysis of Papadimitriou's Algorithm
- Видео: Stable Matching [Optional]
- Видео: Matchings, Flows, and Braess's Paradox [Optional]
- Видео: Linear Programming and Beyond [Optional]
- Видео: Epilogue
- Reading: Optional Theory Problems (Week 4)
- Reading: Info and FAQ for final exam
Оцениваемый: Problem Set #4
Оцениваемый: Programming Assignment #4
Оцениваемый: Final Exam
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Авторы
Stanford University
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.
Стоимость
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Рейтинги и отзывы
Really happy to finish this specialization and I will still study algorithms in the future.
Excellent course! Bravo to the teacher for the commitment provided in this course. Kind regards.
A very nice introduction to algorithms from a high-level mathematical perspective. This course is great for building intuition about key concepts. Highly recommended. I did the Princeton algorithms course first. Both are great. The first tests one more on the implementation side and requires Java. This course is more focused on theory and a great complement. Too bad there is not a Part 5, 6, ….
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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.