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Maria Barouti Senior Professorial Lecturer & Associate Director of the Data Science Program Mathematics and Statistics

Additional Positions at AU
Director, Online MS Data Science Program
Degrees
(1) PhD in Applied Mathematics, University of Maryland Baltimore County (UMBC)
(2) MS in Applied Mathematics, University of Maryland Baltimore County (UMBC)
(3) MS in Applied and Computational Mathematics, Rochester Institute of Technology (R.I.T)
(4) BS in Mathematics, University of Patras, Greece

Bio
Maria Barouti is a Machine Learning educator, with teaching experience in Data Science courses such as Statistical Machine Learning, Regression, Programing in R and Data Science Applications. Also, she has taught various math and stat courses at UMBC and RIT. She is the Director of the Online MS in Data Science Program, Associate Director of the Data Science Programs and the Coordinator of the Practicum Data-793 which is the capstone experience for the MS in Data Science. Her research falls under the area of Machine Learning and Numerical Optimization. Her study focuses on data mining by identifying patterns in big data sets as well as developing feature selection algorithms.

Teaching

Spring 2024

  • DATA-793 Data Science Practicum

  • DATA-793 Data Science Practicum

Summer 2024

  • STAT-627 Statistical Machine Learning

Fall 2024

  • DATA-793 Data Science Practicum

  • STAT-627 Statistical Machine Learning