Catalog Description: Classification regression, clustering, dimensionality, reduction, and density estimation. Mixture models, hierarchical models, factorial models, hidden Markov, and state space models, Markov properties, and recursive algorithms for general probabilistic inference nonparametric methods including decision trees, kernal methods, neural networks, and wavelets. Ensemble methods.

Units: 3

Also Offered As: STAT C241A

Related Areas:

• Artificial Intelligence (AI)
• Biosystems & Computational Biology (BIO)

Formats:
Spring: 3 hours of lecture per week
Fall: 3 hours of lecture per week

Grading Basis: letter

Final Exam Status: No final exam

---

Class Schedule (Fall 2025):
CS C281A – TuTh 15:30-16:59, Soda 306 –

Class homepage on inst.eecs

Links:

• CS enrollment policies
• EE enrollment policies
• HKN course maps