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Course Code |
AIST 1000 AIST1000 |
科目名稱 |
Introduction to
AI & ML 人工智能與機器學習入門 |
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教員 |
學 分 |
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課程性質 |
AIST必修 |
同科其他選擇 |
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Workload |
l TUTORIAL / PRESENTATION |
好重 |
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重 |
1 |
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平均 |
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輕 |
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極輕 |
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評價教學內容 |
#1 要每堂做reading, sem尾要present |
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評價教員教學 |
#1 Speaker講嘅嘢好practical, year 1 sem 1冇乜可能明 |
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CUSIS科目資料 |
Description： This course
covers the basic concepts, problems, approaches and applications of
artificial intelligence and machine learning. It provides an introduction to
various topics in AI systems and technologies, e.g., an overview of AI,
machine learning theory and methods, ML in data science, neural networks and
deep learning, hardware and software technologies for AI systems, natural
language processing, computer vision, AI in games and sports, biomedical
intelligence, intelligent manufacturing and robotics, ethical and legal
issues with AI, etc. It discusses the applications of engineering principles
to selected AI and ML problems. It also explores the future possibilities and
challenges of AI. Learning
Outcome： At the end of
the course of studies, students will 1. have some
basic ideas of artificial intelligence and machine learning; 2. know the
application areas of artificial intelligence and machine learning; 3. understand
the limitations and possibilities of different approaches to artificial intelligence; 4. have a
general picture of the overall curriculum of the AIST undergraduate
programme, especially on the choice of streams. |
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其他資料 |
2020Sem1：學位 50|註冊 44|剩餘 6 |
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同學推薦 |
高度推薦 |
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推薦 |
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有保留 |
1 |
極有保留 |
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