https://www.yaofan29597.com/tags/course/CourseHugoBlox Kit (https://hugoblox.com)en-usWed, 07 Jan 2026 00:00:00 +0000https://www.yaofan29597.com/media/icon_hu_fb558a5ed99f547e.pnghttps://www.yaofan29597.com/tags/course/https://www.yaofan29597.com/courses/stor-565/Wed, 07 Jan 2026 00:00:00 +0000https://www.yaofan29597.com/courses/stor-565/<h2 id="overview">Overview</h2> <p>This course trains students to analyze, implement, and critically evaluate statistical machine learning (ML) methods. By the end of the course, students should be equipped to independently learn and evaluate new ML advances and emerging AI techniques.</p> <h2 id="logistics">Logistics</h2> <ul> <li>Semester: Spring 2026</li> <li>Time: Mon/Wed/Fri 5:45 – 6:35 PM</li> <li>Location: Hanes 120</li> </ul> <h2 id="syllabus">Syllabus</h2> <p> </p>https://www.yaofan29597.com/courses/stor-323/Sun, 17 Aug 2025 00:00:00 +0000https://www.yaofan29597.com/courses/stor-323/<h2 id="overview">Overview</h2> <p>This course examines the <strong>societal impacts</strong> of modern machine learning and artificial intelligence systems&rsquo; <strong>algorithmic decisions</strong> impose on individuals, from both technical and philosophical perspectives. It trains students to critically evaluate and design responsible machine learning systems.</p> <h2 id="logistics">Logistics</h2> <ul> <li>Semester: Fall 2025</li> <li>Time: Mon/Wed/Fri 12:20 – 1:10 PM</li> <li>Location: Hanes 130</li> </ul> <h2 id="syllabus">Syllabus</h2> <p> </p>