课程简要课程名称 MGT-418 Convex Optimization 所在学校 EPFL 课程情况 (作业/习题/授课速度) Difficulty: Tutorial~ Project>Lecture>Exam Workload Midterm x1 Final x1 Project x2 最终成绩 (选填) 5.5 其他你想对选这门课同学说的 Review Wonderful course with dedicated professor and TAs! Prof explains things well and the TAs are all very responsive and helpful! Not too difficult and can be handled by undergraduate knowledge. But very interesting! Workload acceptable. Definitely recommend to anyone interested in optimization. I will post some course material later. Basic information Basics Description Prof Daniel Kuhn TAs Wouter Jongeneel, Yves Rychener, Bahar Taskesen Length 1 Lecture 45+15+45mins 1 Tutorial /week Topics Convex sets Convex functions Convex optimization problems (LP, QCQP, SOCP, SDP) Duality application KKT condition Conjugate duality Optimization in Statistics & Machine Learning Convexifying Nonconvex Problems Robust Optimization Stochastic Programming

MGT-418 Convex Optimization

课程名称	MGT-418 Convex Optimization
所在学校	EPFL
课程情况 (作业/习题/授课速度)	Difficulty: Tutorial~ Project>Lecture>Exam
Workload	Midterm x1 Final x1 Project x2
最终成绩 (选填)	信息登录后可见

Wonderful course with dedicated professor and TAs! Prof explains things well and the TAs are all very responsiv

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Mmmaay Not too difficult and can be handled by undergraduate knowledge.

虽然如此但是楼主也是很优秀了！...

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今年考了Convexifying Nonconvex Problems里面的Cardinality感觉还是挺惊讶的，没复习到有点难受😂...

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