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Course summary

  • Type MOOC course
  • Period Always open
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Issue Online
http://www.edwith.org/intro-data-and-algo-2-2018
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Instructor Introduction

  • KAIST 산업및시스템공학과 문일철 교수

    KAIST 산업및시스템공학과 부교수
    KAIST 김재철AI대학원 겸임교수
    KAIST 항공우주공학과 겸임교수
    KAIST 안보융합연구원 겸임교수
    한국인공지능학회 교육이사

Lecture plan

    1. 1. Tree
      2. Priority Queue and Heap
      3. Genetic Algorithm
      4. Hash
      5. Sorting
      6. Graph

Additional Info

* 선행수업 : 자료구조 및 알고리즘 개론 I 수업에서 다루는 내용에 대한 이해가 필요합니다. 
 - MATLAB 또는 프로그래밍 언어에 대한 경험 (python, java 등 특정 언어와는 무관)
 - 객체 지향 프로그래밍
 - Array, Linked List, Stack, Queue
 - Algorithm Analysis, Recursion and Dynamic Programming

*추천도서: Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

*수료기준
- 진도율 100% 및 퀴즈 점수가 각각 80% 이상일 시 수료
 (진도율 총 46개 강좌 모두 수강 완료 & 퀴즈 총점 90점 중 72점 이상 둘 모두를 만족)
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* 강좌 수료 기준 충족 시 수료증을 제공합니다:)