COURSE

AIAA3225

Learning and Optimization for Artificial Intelligence

Information Hub / Artificial Intelligence · 3 Credits

Learning and optimization serve as the foundational block for many artificial intelligence algorithms. Our initial focus is on convex analysis and on modeling problems as convex problems, while later on in the course we will shift the focus to different algorithms for convex optimization and nonconvex optimization. The techniques introduced in this course will be motivated by needs of problems and applications in Machine Learning and Deep Learning. The topics range from foundational material to cutting-edge trends.

Course 历年总评分

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推荐度

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难度 · 从难到易

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工作量 · 从劳累到轻松

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评分 · 从苛刻到宽松

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仅展示 2026-27 Fall;历史教学班可通过学期筛选查看。

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官方 Course Catalog

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2026-27 Fall · UG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

先修: DSAA 2011 DSAA2011

历史目录与其他学期
2025-26 Summer · UG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

先修: DSAA 2011 DSAA2011

2025-26 Spring · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA 2011 DSAA2011

2025-26 Winter · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA 2011 DSAA2011

2025-26 Fall · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA 2011 DSAA2011