Artificial Intelligence for Computational Sustainability: A Lab Companion/Machine Learning for Prediction/EAAI Template for RCCP.1
To be completed
Summary[edit | edit source]
Describe your assignment in a few sentences here, with reference to the sustainability domain, issues and problems that will be addressed in the assignment; these sustainability material will be detailed below.
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Topics[edit | edit source]
List the AI topics relevant to the assignment, with pointers to explanatory material, such as sections of an online AI textbook, Wiki articles, and the like. If no online material exists on the AI topic, a desirable option might be to create it, not as part of this text, but as a Wikipedia source that is independent of and that can be pointed at by the Wikibook entry.
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Audience[edit | edit source]
Describe the intended audience (e.g. Introduction to AI, K-12, Advanced AI); this text is intended as a companion for an upper-division, undergraduate AI course, and this section might be reasonably omitted, except in special circumstances.
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Difficulty[edit | edit source]
Describe the perceived assignment difficulty and time needed for the audience to complete the assignment. Presumably, the time commitment will be on the order of weeks (projects), days (assignments), or hours (exercises).
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Strengths[edit | edit source]
Describe the assignment strengths. Ideally, subsequent users (instructors and students) of the assignment will add their perceptions of strengths and weaknesses.
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Weaknesses[edit | edit source]
Describe the assignment weaknesses.
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Dependencies[edit | edit source]
List the necessary prerequisite AI topic knowledge. Describe computing requirements, such as necessary operating system(s) and/or programming language(s), if any.
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Variants[edit | edit source]
In a few sentences, describe possible ways in which other instructors can vary the assignment, learn from its design, and/or encourage follow- on assignment work. ...