Informações sobre o curso: The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).
Para quem é direcionado este curso: 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.
Desenvolvido por: Universidade de Stanford
Ministrado por: Tim Roughgarden, Professor
Computer Science
| Informações básicas | Curso 1 de 4 no Algorithms Specialization |
| Nível | Intermediário |
| Compromisso | 4 weeks of study, 4-8 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Week 1
Introduction; "big-oh" notation and asymptotic analysis.
13 videos, 3 leituras
- Reading: Welcome and Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Vídeo: Integer Multiplication
- Vídeo: Karatsuba Multiplication
- Vídeo: About the Course
- Vídeo: Merge Sort: Motivation and Example
- Vídeo: Merge Sort: Pseudocode
- Vídeo: Merge Sort: Analysis
- Vídeo: Guiding Principles for Analysis of Algorithms
- Vídeo: The Gist
- Vídeo: Big-Oh Notation
- Vídeo: Basic Examples
- Vídeo: Big Omega and Theta
- Vídeo: Additional Examples [Review - Optional]
Nota atribuída: Problem Set #1
Nota atribuída: Programming Assignment #1
SEMANA 2
Week 2
Divide-and-conquer basics; the master method for analyzing divide and conquer algorithms.
11 videos, 2 leituras
- Reading: Week 2 Overview
- Vídeo: O(n log n) Algorithm for Counting Inversions II
- Vídeo: Strassen's Subcubic Matrix Multiplication Algorithm
- Vídeo: O(n log n) Algorithm for Closest Pair I [Advanced - Optional]
- Vídeo: O(n log n) Algorithm for Closest Pair II [Advanced - Optional]
- Vídeo: Motivation
- Vídeo: Formal Statement
- Vídeo: Examples
- Vídeo: Proof I
- Vídeo: Interpretation of the 3 Cases
- Vídeo: Proof II
- Reading: Optional Theory Problems (Batch #1)
Nota atribuída: Problem Set #2
Nota atribuída: Programming Assignment #2
SEMANA 3
Week 3
The QuickSort algorithm and its analysis; probability review.
9 videos, 1 leituras
- Reading: Week 3 Overview
- Vídeo: Partitioning Around a Pivot
- Vídeo: Correctness of Quicksort [Review - Optional]
- Vídeo: Choosing a Good Pivot
- Vídeo: Analysis I: A Decomposition Principle
- Vídeo: Analysis II: The Key Insight
- Vídeo: Analysis III: Final Calculations
- Vídeo: Probability Review I
- Vídeo: Probability Review II
Nota atribuída: Problem Set #3
Nota atribuída: Programming Assignment #3
SEMANA 4
Week 4
Linear-time selection; graphs, cuts, and the contraction algorithm.
11 videos, 3 leituras
- Reading: Week 4 Overview
- Vídeo: Randomized Selection - Analysis
- Vídeo: Deterministic Selection - Algorithm [Advanced - Optional]
- Vídeo: Deterministic Selection - Analysis I [Advanced - Optional]
- Vídeo: Deterministic Selection - Analysis II [Advanced - Optional]
- Vídeo: Omega(n log n) Lower Bound for Comparison-Based Sorting [Advanced - Optional]
- Vídeo: Graphs and Minimum Cuts
- Vídeo: Graph Representations
- Vídeo: Random Contraction Algorithm
- Vídeo: Analysis of Contraction Algorithm
- Vídeo: Counting Minimum Cuts
- Reading: Optional Theory Problems (Batch #2)
- Reading: Info and FAQ for final exam
Nota atribuída: Problem Set #4
Nota atribuída: Programming Assignment #4
Nota atribuída: Final Exam
Perguntas frequentes
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Desenvolvedores
Universidade de Stanford
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
Well-balanced course in terms of difficulty, theory level and practicality. Final exam could have been more difficult.
An awesome course for learning algorithms in Divide and Conquer Strategy. The lecturer's teaching and lecture content both are world class. The assignments too were worth challenging and confidence boasting. Nice one in case someone needs to grasp at deeper level, the algorithm design and analysis.
Awesomeness!
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As an Electrical Engineer, until completing this course, I felt a little uncomfortable talking with computer scientists about algorithms, although I have been programming for about 20 years. Now I feel comfortable discussing algorithms. Really enjoyed the course.