Advanced Topics in Artificial Intelligence

Subject: 
Computer Science (CS)
Catalog number: 
886
Unit weight: 
0.50
Meet type: 
SEM
Grading basis: 
NUM
Cross-listing(s): 
N/A
Requisites: 
N/A
Description: 
Topic titles: 
1 Constraint Programming
2 Stat. Natural Lang. Processing
3 Multi-Agt Sys 4 Real-Wrld App
4 Reasoning Under Uncertainty
5 Electronic Market Design
6 Statistical Learning Theory
7 Current Apps Natural Lang Comp
8 Natural Language Computing
9 Self-Interested Multiagent Sys
10 Knowledge Representation
11 Theoretical Found of Cluster'g
12 Discourse Analysis
13 Game-Theoretic Methods in CS
14 Statistical NLP and IR
15 Machine Learning
16 Preference Elicitation
17 Multiagent Systems
18 Clustering Theory
19 Bayesian Data Analysis
20 Human Language Technologies
21 AI Techniques for Games
22 Decision Making Under Uncrtnty
23 Perceptn as Bayesian Inference
24 Persuasive Technologies
25 AI for Health Applications
26 Computational Discourse
27 Virtual Humans/Games&Narrative
28 Applied Machine Learning
29 Fnd. of Social Computing
30 Reinforcement Learning
31 Theory of Machine Learning
32 Natural Language Understanding
33 Foundations of Clustering
34 Affective Computing
35 Emerging Technologies
36 Natural Language Processing
37 Tpcs in Natural Lang Process
38 Trust & Online Social Networks
39 AI & Philosophy
40 Theory of Deep Learning
41 Is Deep Learning right for NLP
42 FAT in Machine Learning
43 Deep Learning and NLP
44 Causality in Machine Learning
45 Deep Learning for Biotech
46 Robustness of Machine Learning
Faculty: 
Mathematics (MAT)
Academic level: 
GRD
Course ID: 
011094