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Computer Science 足球竞彩网amentals Live Workshops Remote  (足球竞彩网)

足球竞彩网 Campus

足球竞彩网
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足球竞彩网

Past Locations for this Workshop Series

Computer Science 足球竞彩网amentals Live Workshops Remote (足球竞彩网) | 足球竞彩网

足球竞彩网 Campus

足球竞彩网
Anywhere
足球竞彩网

Past Locations for this Workshop Series

About this workshop series

We’ll explore the concepts and code behind computer science topics that are fundamental knowledge for any programmer as well as popular job interview questions.

Part 1 of the workshop will focus on big O notation, recursion, and the binary search algorithm.

Part 2 will focus on data structures - determining their efficiency, the benefits and tradeoffs of different structures, and implementing a hash table.

Takeaways

Part 1: - Analyze algorithms to determine their Big O complexity. - Explain the difference between brute force search and binary search. - Implement the binary search algorithm.

Part 2: - Determine when different data structures should be used and why. - Analyze data structures to determine their Big O complexity for basic functions. - Implement a hash table.

Prereqs & Preparation

Complete the computer science learning paths on myGA.

Part 1 key lessons: - Algorithms learning path: - Introduction to Algorithms - Big O Notation - Recursion - Introduction to Sorting - Basic Sorting Algorithms - Divide-and-Conquer Sorting Algorithms - Distribution Sorting Algorithms - Search Algorithms

Part 2 key lessons: - Data Structures learning path: - Introduction to Data Structures - Linked Lists - Stacks and Queues - Introduction to Hash Tables - Hash Tables Deep Dive - Sets - Binary Trees and Tries - Balancing Binary Trees - Graphs

Important Details:

  • This course will occur completely online using Zoom and Slack
  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection
  • Course set up information will be emailed to all students signed up around 24 hours before (and again an hour before) your course launches

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