数据结构与算法

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Data Structures & Algorithms
- Prior knowledge : Linear Algebra Essentials
Content

Data Structures & Algorithms

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udacity公众号

Nanodegree key: nd256
Version: 6.0.0
Locale: en-us
Get hands-on practice with over 100 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Prior knowledge : Linear Algebra Essentials

Learn the basics of the beautiful world of Linear Algebra and
why it is such an important mathematical tool in the world of AI.

Module 01: Lessons
- Lesson 01: IntroductionTake a sneak peek into the beautiful world of Linear Algebra and learn why it is such an important mathematical tool.
- Lesson 02: VectorsLearn about vectors, the basic building block of Linear Algebra.
- Lesson 03: Linear CombinationLearn how to scale and add vectors and how to visualize the process.
- Lesson 04: Linear Transformation and Matrices What is a linear transformation and how is it directly related to matrices? Learn how to apply the math and visualize the concept.
Module 02: Labs
- Lesson 01: Vectors LabLearn how to graph 2D vectors.
  - Concept 01: Vectors Lab
  - Concept 02: Vectors Lab Solution
- Lesson 02: Linear Combination LabLearn how to computationally determine a vector’s span and solve a simple system of equations.
  - Concept 01: Linear Combination
  - Concept 02: Linear Combination Lab Solution
- Lesson 03: Linear Mapping LabLearn how to solve some problems computationally using vectors and matrices.
- Lesson 04: Linear Algebra in Neural NetworksTake a peek into the world of Neural Networks and see how it related directly to Linear Algebra!
  - Concept 01: Instructor
  - Concept 02: Brief Introduction
  - Concept 03: What is a Neural Network?
  - Concept 04: How Are The Neurons Connected?
  - Concept 05: Putting The Pieces Together
  - Concept 06: The Feedforward Process- Finding h
  - Concept 07: The Feedforward Process- Finding y
    Content
    Part 01 : Introduction
    Start with a warm welcome to the program by refreshing your Python skills and learning about problem solving and efficiency!
Module 01: Career Support
- Lesson 01: Get Help with Your AccountWhat to do if you have questions about your account or general questions about the program.
  - Concept 01: FAQ
  - Concept 02: Support
- Lesson 02: Knowledge, Community, and CareersYou are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Module 02: Introduction
- Lesson 01: IntroductionWelcome to the Data Structures and Algorithms nanodegree program!
- Lesson 02: Python RefresherA quick refresh on Python basics!
- Lesson 03: How to Solve ProblemsA systematic way of approaching and breaking down problems.
- Lesson 04: EfficiencyUnderstanding the importance of efficiency when working with data structures and algorithms.
- Lesson 05: Unscramble Computer Science ProblemsDeconstruct a series of open-ended problems into smaller components (e.g, inputs, outputs, series of functions).Project Description - Unscramble Computer Science ProblemsProject Rubric - Unscramble Computer Science Problems
  - Concept 01: Project Introduction
- Lesson 06: Why Python ProgrammingWelcome to Introduction to Python! Here’s an overview of the course.
- Lesson 07: Data Types and OperatorsFamiliarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
- Lesson 08: Data StructuresUse data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.
- Lesson 09: Control FlowBuild logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
- Lesson 10: FunctionsLearn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
- Lesson 11: ScriptingSetup your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
- Lesson 12: Advanced TopicsIn this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.
  - Concept 01: Advanced Topics
  - Concept 02: [Optional] Iterators and Generators
  - Concept 03: [Optional] Quiz: Iterators and Generators
  - Concept 04: [Optional] Solution: Iterators and Generators
  - Concept 05: [Optional] Generator Expressions
    Part 02 : Data Structures
    Learn about the core data structures used in programming.
Module 01: Data Structures
Module 01: Basic Algorithms
- Lesson 01: Basic AlgorithmsStart out with some elementary algorithms such as binary search, tries, heaps and more.
- Lesson 02: Sorting AlgorithmsLearn about the most common sorting algorithms.
- Lesson 03: Faster Divide & Conquer AlgorithmsGo deeper into algorithms with faster divide and conquer algorithms.
- Lesson 04: Problems vs. AlgorithmsA series of real-world open ended problems which train you to apply suitable data structures and algorithms under different context.Project Description - Problems vs. AlgorithmsProject Rubric - Problems vs. Algorithms
  - Concept 01: Introduction to the Project
  - Concept 02: Problem 1: Square Root of an Integer
  - Concept 03: Problem 2: Search in a Rotated Sorted Array
  - Concept 04: Problem 3: Rearrange Array Digits
  - Concept 05: Problem 4: Dutch National Flag Problem
  - Concept 06: Problem 5: Autocomplete with Tries
  - Concept 07: Problem 6: Unsorted Integer Array
  - Concept 08: Problem 7: Request Routing in a Web Server with a Trie
    Part 04 : Advanced Algorithms
    Learn about the basic algorithms used in programming.
Module 01: Advanced Algorithms
- Lesson 01: Greedy AlgorithmsGet familiar with and practice greedy algorithms.
- Lesson 02: Graph AlgorithmsLearn about the many aspects of graph algorithms!
- Lesson 03: Dynamic Programming Learn about dynamic programming and apply your learnings to challenging exercises.
- Lesson 04: A*
- Lesson 05: Route PlannerIn this project, you will build a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map. Project Description - Route PlannerProject Rubric - Route Planner
  - Concept 01: About this Project
  - Concept 02: Project Specifics
  - Concept 03: Notebook - Implement Route Planner
  - Concept 04: Congratulations!
    Part 05 (Elective): Introduction to Python Programming
    Review fundamental Python programming syntax and concepts.
Module 01: Introduction to Python Programming
- Lesson 01: Why Python ProgrammingWelcome to Introduction to Python! Here’s an overview of the course.
- Lesson 02: Data Types and OperatorsFamiliarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
- Lesson 03: Data StructuresUse data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.
- Lesson 04: Control FlowBuild logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
- Lesson 05: FunctionsLearn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
- Lesson 06: ScriptingSetup your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
- Lesson 07: Advanced TopicsIn this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.
  - Concept 01: Advanced Topics
  - Concept 02: [Optional] Iterators and Generators
  - Concept 03: [Optional] Quiz: Iterators and Generators
  - Concept 04: [Optional] Solution: Iterators and Generators
  - Concept 05: [Optional] Generator Expressions
    Part 06 : Career Services
    These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!
Module 01: Career Services
- Lesson 01: Industry ResearchYou’re building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.
- Lesson 02: Take 30 Min to Improve your LinkedInFind your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.Project Description - Improve Your LinkedIn ProfileProject Rubric - Improve Your LinkedIn Profile
- Lesson 03: Optimize Your GitHub ProfileOther professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.Project Description - Optimize Your GitHub ProfileProject Rubric - Optimize Your GitHub Profile
Module 01: Technical Interview Practice
- Lesson 01: Technical Interview - PythonPractice with five technical interviewing questions on topics discussed in the data structures and algorithms course and get a personalized review on both your code and solutions.

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