A. I. Cuza University of Iaşi

Advanced Artificial Intelligence

Course nameAdvanced Artificial Intelligence CodeMISS1205
Class Master of Software Engineering, 2009 - 2011
Level Master Year 1 Semester 2 Status Compulsory
Hours per weekTotal hours per semesterTotal hours of individual workCreditsEvaluation typeTeaching language
CSLPr
2 0 2 0 56 184 8 E ro
Taught byAcademic and scientific title, name
Associate Professor, PhD, Liviu Ciortuz
Required courses
ObjectivesUnderstanding the conception and practical usage of the most important algorithms for classification and clustering.
General thematics
  1. Concept Learning and General-to-Specific Ordering
  2. Decision Trees
  3. Instance-based Learning
  4. Neural Networks
  5. Bayesian Learning
  6. Support Vector Machines
  7. Clustering Algorithms
  8. Boosting, bagging, random forests, voting, co-training
  9. Evaluating Hypotheses
  10. Computational Learning Theory
  11. Reinforcement Learning
Seminary / Laboratory thematicsPresentation of recent papers in the area of machine learning. String kernels and applications. Pattern matching on strings. Grammar learning.
Teaching methodsSlides on video-projector.
Bibliography
  • „Machine Learning”, Tom Mitchell; McGraw-Hill, 1997
  • „Data Mining: Practical ML Tools and Techniques with Java Implementations'', Witten, Frank; Morgan Kaufmann Publishers, 2000
  • „The Elements of Statistical Learning'', Friedman, Hastie, Tibshirani, 2001
  • „Pattern Matching and Machine Learning”, Ch. Bishop, 2006
EvaluationconditionsMinimum 1.5 (of 4) points for lab, minimum 1.5 (of 4) points at the final exam.
criterias
modes
formulaBasis (2 points) + lab work (4 points) + final exam (4 points)
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