Personal Website of George V. Moustakides
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Teaching
Courses
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Currently No Teaching
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Past Courses/Lectures
Machine Learning: Elective, Department of Electrical and Computer Engineering and Master inter-departmental program: Information Processing Systems and Machine Intelligence, University of Patras, Greece, (undergraduate and graduate course).
Data-Driven Techniques: Elective, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA, Fall 2023, (graduate course).
Digital Signal Processing and Lab: Elective, Department of Electrical and Computer Engineering, University of Patras, Greece, (undergraduate course).
Detection and Estimation I and II: Core (I) and Elective (II), Master inter-departmental program: Information Processing Systems and Machine Intelligence, University of Patras, (graduate course).
Topics in the Foundations of Computer Science, Foundations of Computer and Data Science: Department of Computer Science, Rutgers University, New Brunswick, NJ, USA, Fall 2018, Spring 2019, Fall 2019, (graduate course).
Pattern Recognition, Theory and Applications: Department of Computer Science, Rutgers University, New Brunswick, NJ, USA, Fall 2018, (graduate course).
Computer Vision: Department of Computer Science, Rutgers University, New Brunswick, NJ, USA, Fall 2017 and Spring 2018,  2017  (graduate course).
Digital Signals and Filters: Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, USA, Fall 2016,  2016  (graduate course).
Optimization modeling: Department of Management Science & Information Systems, Business School, Rutgers University, New Brunswick, Fall 2015, (undergraduate course).
Optimal stopping, Application to sequential detection: Coordinated Science Lab, University of Illinois, Urbana-Champaign, Fall 2014,  videos  (series of 11 one-hour lectures).
Detection and estimation theory: Department of Electrical Engineering, Columbia University, Fall  2009   and  2012  (graduate course).
Sequential detection of changes: Department of Statistics, Columbia University, Summer  2007  (series of lectures).
Estimation Theory and Stochastic Control: Department of Electrical and Computer Engineering, University of Patras, Greece, (undergraduate course).
Detection & Estimation: Department of Electrical and Computer Engineering, also Department of Computer Engineering and Informatics, University of Patras, Greece, (graduate course).
Fuzzy & Neural Control: Department of Electrical and Computer Engineering, University of Patras, Greece, (undergraduate course).
Digital Communications: Department of Computer Engineering & Informatics, University of Patras, Greece (undergraduate course).
Signals and Systems: Department of Computer Engineering & Informatics, University of Patras, Greece (undergraduate course).
Control Theory: Department of Computer Engineering & Informatics, University of Patras, Greece (undergraduate course).
Linear Algebra: Department of Computer Engineering & Informatics, University of Patras, Greece (undergraduate course).
Circuit Theory: Department of Computer Engineering & Informatics, University of Patras, Greece (undergraduate course).
Measure theory and probability: Department of Computer Engineering & Informatics, University of Patras, Greece (series of lectures).
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