Mihail Barbosu Headshot

Mihail Barbosu

Professor

School of Mathematical Sciences
College of Science
Director of Data and Predictive Analytics Center

585-475-2123
Office Hours
Monday: 3-4 pm Wednesday: 3-4 pm And by appointment
Office Location

Mihail Barbosu

Professor

School of Mathematical Sciences
College of Science
Director of Data and Predictive Analytics Center

Education

BS, Ph.D., Babes-Bolyai University (Romania); MS, Ph.D., Paris VI University (France)

585-475-2123

Personal Links
Areas of Expertise

Currently Teaching

ISTE-782
3 Credits
This course introduces students to Visual Analytics, or the science of analytical reasoning facilitated by interactive visual interfaces. Course lectures, reading assignments, and practical lab experiences will cover a mix of theoretical and technical Visual Analytics topics. Topics include analytical reasoning, human cognition and perception of visual information, visual representation and interaction technologies, data representation and transformation, production, presentation, and dissemination of analytic process results, and Visual Analytic case studies and applications. Furthermore, students will learn relevant Visual Analytics research trends such as Space, Time, and Multivariate Analytics and Extreme Scale Visual Analytics.
MATH-251
3 Credits
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.
MATH-421
3 Credits
This course explores problem solving, formulation of the mathematical model from physical considerations, solution of the mathematical problem, testing the model and interpretation of results. Problems are selected from the physical sciences, engineering, and economics.