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 | Intermediate |
| 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 vídeos, 3 leituras
- Reading: Welcome and Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Vídeo: Why Study Algorithms?
- 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 vídeos, 2 leituras
- Reading: Week 2 Overview
- Vídeo: O(n log n) Algorithm for Counting Inversions I
- 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 vídeos, 1 leitura
- Reading: Week 3 Overview
- Vídeo: Quicksort: 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 vídeos, 3 leituras
- Reading: Week 4 Overview
- Vídeo: Randomized Selection - Algorithm
- 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
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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
Great Algorithm analysis overview. Concepts are simply explained. Although If you are absolute beginner I recommend you to read the basics term used in statistics.
Learnt a lot from this course. Would recommend.
Concepts are very well explained and the quality of quizzes are top-notch.
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FP
Very useful and very impressive. Thank you!