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AI010 AI Theoretical Basis and MindSpore Development Practice |
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Number of Credits |
1 |
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Teaching Hours |
16 |
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Offering School |
Student Innovation Center |
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Course Teacher |
Silva Xiao (SJTU) & Haocong Wang (Expert from Huawei Co.,Ltd) |
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Course Level |
Undergraduate Level |
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Language of Instruction |
English |
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First Day of Class |
Mar 2023 |
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Last Day of Class |
Mar 2023 |
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Course Component |
Lecture & Discussion |
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Mode of Teaching |
Synchronous |
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Meeting Time |
Wednesdays 14:00 p.m.-17:40 p.m. Week 3-6 |
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Time Zone |
Beijing Time（UTC+8） |
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Course-specific Restrictions (e.g. Prerequisites / Major / Year of Study) |
Students majoring in computer, artificial intelligence, information and other related majors. Prerequisite courses include Python, artificial intelligence, machine learning and other professional basic courses. |
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Course Description |
The course introduces the basic theories of artificial intelligence and deep learning, describes the deep learning models and algorithms commonly used in the fields of image classification and natural language processing, as well as the open source framework for AI development, and makes students familiar with and master AI development based on MindSpore open source framework through case practice. |
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Syllabus |
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This course is available on APRU-VSE platform. |
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