DATA 442/642: Advanced Machine Learning

American University

This is a complementary course hub. Canvas is the official site for this semester. Questions: mousavi@american.edu.

Syllabus

Thursday class meetings, 5:30–8:00 PM. Canvas is official for submissions and any date changes.

Week	Topic	Notes
1	Machine learning and vector calculus
2	Unconstrained optimization
3	Constrained optimization, LP, and QP
4	Sparsity-aware learning
5	Hilbert spaces, kernels, and SVMs
6	PCA
7	Multimodal learning, CCA, and IVA
8	Tensors
9	Midterm	Midterm
10	Clustering
11	GMMs and anomaly detection
12	Perceptrons and multilayer nets
13	Training neural nets
14	Autoencoders and VAEs
15	GANs

Open a week for its lectures, labs, readings, and discussion prompts. Canvas remains the official list of required reading.

Week	Topic
1	Machine learning and vector calculus
2	Unconstrained optimization
3	Constrained optimization, LP, and QP
4	Sparsity-aware learning
5	Hilbert spaces, kernels, and SVMs
6	PCA
7	Multimodal learning, CCA, and IVA
8	Tensors
9	Midterm
10	Clustering
11	GMMs and anomaly detection
12	Perceptrons and multilayer nets
13	Training neural nets
14	Autoencoders and VAEs
15	GANs