About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 28 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Skills you will gain

Artificial Intelligence (AI)Search AlgorithmA.I. Artificial IntelligenceAlgorithms

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 28 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Introduction

...
9 videos (Total 118 min), 1 reading
9 videos
1-4 Different Level Of AI5m
1-5 Wave of AI:Debut, Knowledge Driven, Data Driven6m
1-6 The Classification of Agent, First Wave of AI (Artificial Neural Network)24m
1-7 Second Wave of AI (Expert System)12m
1-8 Third Wave of AI (Some Theory and Principle of Machine Learning)21m
1-9 Conclusion of AI and Machine Learning7m
1 reading
NTU MOOC 課程問題詢問與回報機制1m
Week
2
2 hours to complete

Uninformed search

...
6 videos (Total 102 min), 1 quiz
6 videos
2-4 Uninformed Search (i) - Breadth-First Search, Uniform-Cost Search18m
2-5 Uninformed Search (ii) - Depth-First Search, Depth-Limited Search, Iterative-Deepening Search14m
2-6 Uninformed Search (iii) - Iterative-Deepening Search, Bidirectional Search15m
1 practice exercise
Week 218m
Week
3
2 hours to complete

Informed search

...
6 videos (Total 108 min), 1 quiz
6 videos
3-4 Memory Bounded Search (i) - Iterative Deepening A*, RBFS21m
3-5 Memory Bounded Search (ii) - RBFS, Simplified Memory-bounded A*20m
3-6 Heuristic - Preformance, Generating Heuristics15m
1 practice exercise
Week 320m
Week
4
2 hours to complete

Non-classic search

...
7 videos (Total 119 min), 1 quiz
7 videos
4-4 Evolutionary Computation19m
4-5 Non-deterministic Actions - AND-OR Search, Partial Observations (i) - Sensor-less18m
4-6 Partial Observations (ii) - With Sensors11m
4-7 Partial Observations (iii) - Unknown Environments23m
1 practice exercise
Week 416m
4.8
36 ReviewsChevron Right

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got a tangible career benefit from this course

20%

got a pay increase or promotion

Top reviews from 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

By JYJan 24th 2017

上完這個課程,不但讓我對人工智慧領域有概括性的認識,且對各種搜尋或邏輯判斷的演算法優缺點均有概念。非常推薦給想要進入人工智慧領域的朋友來上這門課程。但建議至少要有一點計算機概論或演算法的基礎比較好喔!

Instructor

Avatar

于天立

副教授 (Associate Professor)
電機工程學系 (Department of Electrical Engineering)

About National Taiwan University

We firmly believe that open access to learning is a powerful socioeconomic equalizer. NTU is especially delighted to join other world-class universities on Coursera and to offer quality university courses to the Chinese-speaking population. We hope to transform the rich rewards of learning from a limited commodity to an experience available to all. More courses information, the official Facebook Page: https://www.facebook.com/ntumooc2017/...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.