Joel Barajas

Technology and Information Management
Topic Modeling, Recommender Systems, Dynamic Models, Collaborative Filtering, Computational Advertising, Query Intent, Co-clustering, Matrix Decompositions (PCA, SVD, Probabilistic PCA, Probabilistic SVD).

Knowledge Services and Data Analytics
Introduction to Data Mining for Business Applications: Principal Component Analysis, Multiple Linear Regression, Latent Semantics Analysis, Clustering, Logistic Regression, Linear Discriminant Analysis, Decision Trees.

Stoch. Opt. in Info. Syst. and Tech.
Optimization Techniques Applied in Computational Advertising: Constrained Optimization and Nonlinear Programming, Portfolios, Support Vector Machines, Expectation Maximization, Collaborative Filtering, Dynamic Programming, Computational Advertising.

Web Mining and Advanced Machine Learning
Human behavior modeling, Relevance feedback in IR, Click-stream Mining, Social Networks, Bayesian Networks and Graphical Models, Time Series, Reinforcement Learning.

Financial Engineering and Management
Net Present Value and Cost of Capital, Annuities, Internal Rate of Return, Valuing Projects, Portfolio Theory, Risk and Return, CAPM, Real Options, Decision Tress.

Computer Vision Center
Reconstruction and registration of Intravascular Ultrasound (IVUS) images with the University Hospital German Trias I Pujol, Barcelona Spain and Boston Scientific. Analysis and estimation of the cardiac motion from Tagged and CINE MRI with the Santa Creu i San Pau Hospital, Barcelona Spain.

CICATA IPN Queretaro, Mexico
Design of a program to characterize incrusted particles of diamond in stain plates with the Center of Research and Advanced Studies (CINVESTAV) in Material Science Quer ́taro, and HITACHI Guadalajara, Mexico.

Artificial Intelligence, Compiler Design
Introductory course to Artificial Intelligence, Decision trees. Compiler Design, Chomsky classification, Au- tomata Theory (DFA,NFA), Parsers, yacc, intermediate code generation, peer tutoring.