# Introduction to Probabilistic Graphical Models

## ECSE-6810

This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.

3 credits
Cross-listed with:
ECSE-4810 Introduction to Probabilistic Graphical Models
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2023 |  |  |
2022 |  |  | Introduction To Probabilistic Graphical Models (3c) Qiang Ji Seats Taken: 5/30
2021 |  |  |
2020 |  |  | Introduction To Probabilistic Graphical Models (3c) Qiang Ji Seats Taken: 17/30
2019 |  |  |
2018 |  |  | Introduction To Probabilistic Graphical Models (3c) Qiang Ji Seats Taken: 27/30
2017 |  |  |
2016 |  |  | Introduction To Probabilistic Graphical Models (3c) Qiang Ji Seats Taken: 19/36
2015 |  |  |
2014 |  |  | Introduction To Probabilistic Graphical Models (3c) Qiang Ji Seats Taken: 8/30
2013 |  |  |
2012 |  |  |
2011 |  |  |
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