UTEP Faculty Profiles

Main Content

Maria C. Mariani

Professor
Mathematical Sciences
Computational Science

Office Building: Bell Hall
Office Room: 120
Phone: (915) 747-6861
Email: mcmariani@utep.edu

Expertise: See Research Profile in Expertise Connector

Bio

No info available.

Awards and Honors

Shigeko K. Chan Distinguished Professor in Mathematical Sciences - UTEP (01/01/2012-12/31/2012)
College Of Arts & Siences Faculty Outstanding Achievement Award in Research, Teaching and Service - New Mexico State University. (01/01/2008-12/31/2008)
Nominated By The Department Of Mathematical Science For The Patricia ChristmoreFaculty Teaching Award (01/01/2004-12/31/2004)
Scientific Production Award - University Of Buenos Aires (01/01/1996-12/31/1996)
Scientific Production Award - University Of Buenos Aires (01/01/1995-12/31/1995)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
Scientific Production Award - University Of Buenos Aires (01/01/1994-12/31/1994)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1993-12/31/1993)
Scientific Production Award - University Of Buenos Aires (01/01/1993-12/31/1993)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires (01/01/1992-12/31/1992)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1992-12/31/1992)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1991-12/31/1991)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1990-12/31/1990)

Education

MS in Physics, Univ. of Buenos Aires (1995)
Ph D in Mathematical Science, Univ. of Buenos Aires (1992)
MS in Mathematics, Univ. of Buenos Aires (1987)

Publications

Fusion of Recurrence Plots and Gramian Angular Fields with Bayesian Optimization for Enhanced Time Series Classification Axioms (2025), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Understanding the Dynamic Loss Modulus of NR/SBR Blends in the Glassy-Rubbery Transition Zone. Polymers 17 (10) (2025), Angel J. Marzocca, Marcela A. Mansilla, Maria P. Beccar-Varela, Maria C. Mariani.
Understanding the Dynamic Loss Modulus of NR/SBR Blends in the Glassy-Rubbery Transition Zone. Polymers 17 (10) (2025), Angel J. Marzocca, Marcela A. Mansilla, Maria P. Beccar-Varela, Maria C. Mariani.
Characterization and Predicting Financial Time Series: An Exploration of Bayesian Stochastics Volatility Models on the Ghana Stock Exchange Composite Risks 13(1) 3 (2024), Osei Tweneboah, Kewsi Ohene-Obeng, Maria C. Mariani.
Machine Learning Methodologies with Applications to Medical Diagnosis 2024 Hawaii University International Conferences (2024), Maria C. Mariani, Kwesi Ohene-Obeng, Osei K. Tweneboah.
Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk Springer (2024), Michael Pokojovy, Andrews T. Anum, Obed Amo, Maria C. Mariani, Michael C. Orosz.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2024 Hawaii University International Conference (2024), Maria P. Beccar Varela, Ricardo Isaac, Maria C. Mariani, Osei K. Tweneboah, Ricardo Miro, Peter K. Asante, William Kubin.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2024 Hawaii University International Conference (2024), Maria P. Beccar Varela, Ricardo Isaac, Maria C. Mariani, Osei K. Tweneboah, Ricardo Miro, Peter K. Asante, William Kubin.
Transforming Time Series into Texture Images: A Fusion of Recurrence Plots and Gramian Angular Fields for Convolutional Neural Network-Based Classification 2024 Hawaii University International Conferences (2024), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Volatility Analysis of Financial Time Series Using the Multifractal Conditional Diffusion Entropy Method Fractal Fract 8 5 (2024), Maria C. Mariani, William Kubin, Peter K. Asante, Osei K. Tweneboah.
Multifractal Analysis of the Southern Oscillation Index   Journal of Atmospheric and Solar-Terrestrial Physics 30 09 (2024), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
Multifractal Analysis of the Southern Oscillation Index   Journal of Atmospheric and Solar-Terrestrial Physics 30 09 (2024), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
A Methodology to Transform Non-image Data to Image for Convolutional Neural Network Architecture 2023 Hawaii University International Conferences (2023), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Machine Learning Methodologies with Applications to Medical Diagnosis 2023 Hawaii University International Conferences (2023), Maria C. Mariani, Jazmin Quezada, Osei K. Tweneboah.
Classification of financial events and its effects on other financial data Axioms 12 4 (2023), Maria C. Mariani, Osei Tweneboah, Masum Bhuiyan, Maria P. Beccar-Varela, Ionut Florescu.
Classification of financial events and its effects on other financial data Axioms 12 4 (2023), Maria C. Mariani, Osei Tweneboah, Masum Bhuiyan, Maria P. Beccar-Varela, Ionut Florescu.
Determining the Background Driving Process of the Ornstein-Uhlenbeck Model. Electronic J. Diff. Eqns. EJDE Special Issue 02 (2023), Maria C. Mariani, Peter K. Asante, William Kubin, Osei K. Tweneboah, Maria P. Beccar-Varela.
Determining the Background Driving Process of the Ornstein-Uhlenbeck Model. Electronic J. Diff. Eqns. EJDE Special Issue 02 (2023), Maria C. Mariani, Peter K. Asante, William Kubin, Osei K. Tweneboah, Maria P. Beccar-Varela.
Scaling detection in extrachromosomal DNA Fractals 30 09 (2022), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
Analysis of simulated stationary processes using the CDFA 2022 Hawaii University International Conferences (2022), Maria C. Mariani, William Kubin, Peter K. Asante, Joe Guthrie, Osei K. Tweneboah.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2022 Hawaii University International Conference (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Md Al Masum Bhuiyan, Julien Esquivel.
Analysis of simulated stationary processes using the CDFA 2022 Hawaii University International Conferences (2022), Maria C. Mariani, William Kubin, Peter Asante, Joe A. Guthrie, Osei K. Tweneboah.
A 3-Dimensional Superposed Ornstein-Uhlenbeck Model Applied to Financial Stock Markets RMS: Research in Mathematics & Statistics, Taylor & Francis 9:1 (2022), Maria C. Mariani, Peter Asante, William Kubin, Osei Tweneboah.
Data Analysis Using a Coupled System of Ornstein–Uhlenbeck Equations Driven by Lévy Processes Axioms 11(4) (2022), Maria C. Mariani, Peter Asante, William Kubin, Osei K. Tweneboah.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2022 Hawaii University International Conference (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Md Al Masum Bhuiyan, Julien Esquivel.
Time series classification using deep learning models 2022 Hawaii University International Conferences (2022), Maria C. Mariani, James Arthur, Osei K. Tweneboah.
Two machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Peter K. Asante, Pablo Bustamante-Murguia, Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set Entropy (2021), Maria C. Mariani, William Kubin, Peter Asante, Joe Guthrie, Osei K. Tweneboah.
Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets Wiley (2021), Maria C. Mariani, Osei K. Tweneboah, Maria P. Beccar-Varela.
Modeling high frequency stock market data by using stochastic models Stochastic Analysis and Applications (2021), Maria C. Mariani, Osei K. Tweneboah.
Analyzing Medical Data by using Machine Learning Models Mathematics (2021), Maria C. Mariani, Francis Biney, Osei K. Tweneboah.
Multifractal Analysis of Daily US covid-19 cases 2021 Hawaii University International Conferences (2021), Maria C. Mariani, William Kubin, Peter K. Asante, Osei K. Tweneboah, Maria P. Beccar Varela.
Multifractal Analysis of Daily US covid-19 cases Proceedings - 2021 Hawaii University International Conferences (2021), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Maria P. Beccar-Varela.
Solving Third Order Ordinary Differential Equations by using Ricatti Equations 2021 Hawaii University International Conference (2021), Maria P. Beccar-Varela, Md Al Masum Bhuiyan, Maria C. Mariani, Osei K. Tweneboah.
Solving Third Order Ordinary Differential Equations by using Ricatti Equations Proceedings; 2021 Hawaii University International Conferences (2021), Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah, Peter Asante.
Long memory effects and forecasting of earthquake and volcano seismic data Physica A 559 1 (2020), Maria C. Mariani, Md Al Masum Bhuiyan, Osei K. Tweneboah, Hector Gonzalez-Huizar.
Long-Range Correlations and Characterization of Financial and Volcanic Time Series Mathematics (2020), Maria C. Mariani, Peter Asante, Maria P. Beccar-Varela, Sebastian Jaroszewicz, Osei K. Tweneboah.
Self-similar models: Relationship between the diffusion entropy analysis, detrended fluctuation analysis and Levy models Mathematics 8 7 (2020), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Hector Gonzalez-Huizar.
Self-similar models: Relationship between the diffusion entropy analysis, detrended fluctuation analysis and Levy models Mathematics 8 7 (2020), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Maria P. Beccar-Varela, Sebastian Jaroszewicz, Hector Gonzalez-Huizar.
Supervised Machine Learning models applied to Disease Diagnosis and Prognosis AIMS Public Health (2020), Maria C. Mariani, Masum Bhuiyan, Osei Tweneboah.
Analysis of Stock market data by using Dynamic Fourier and Wavelets techniques Physica A (2020), Maria C. Mariani, Masum Bhuiyan, Osei K. Tweneboah, Maria P. Beccar-Varela, Ionut Florescu.

Presentations

Applications of non-linear ODEs and solutions by using theoretical and neural network methodologies (2025), Volume Saint Louis University, St. Louis, MO, Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Kwabena Duodu, Osei K. Tweneboah.
Applications of non-linear ODEs and solutions by using theoretical and neural network methodologies (2025), Volume Saint Louis University, St. Louis, MO, Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Kwabena Duodu, Osei K. Tweneboah.
Enhancing Medical Diagnosis with Partitioned Local Depth: A Feature Fusion Approach with Multilayer Perceptron (2025), Volume Sam Houston State University, Prince Appiah, Maria C. Mariani, Osei Tweneboah.
Classification of Geophysical Events in the Getchell Mine (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria C. Mariani, Osei K. Tweneboah, Hector Gonzalez-Huizar, Md Al Masum Bhuiyan Bhuiyan , Maria P. Beccar-Varela.
Classification of Geophysical Events in the Getchell Mine (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria C. Mariani, Osei K. Tweneboah, Hector Gonzalez-Huizar, Md Al Masum Bhuiyan Bhuiyan , Maria P. Beccar-Varela.
Discrimination of earthquakes and mining explosion seismic signals using partitioned local depth (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Osei K. Tweneboah, Maria C. Mariani, Michael Roberts, Prince Appiah.
Enhancing Medical Diagnosis with Machine Learning (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria C. Mariani, Jazmin Quezada, Osei K. Tweneboah.
Solutions to Higher Order Differential Equations by using Integrating Factor techniques, Numerical Methods and Neural Networks (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria P. Beccar-Varela, Ricardo Isaac, Kwabena Duodu, Maria C. Mariani, Osei K. Tweneboah.
Solutions to Higher Order Differential Equations by using Integrating Factor techniques, Numerical Methods and Neural Networks (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria P. Beccar-Varela, Ricardo Isaac, Kwabena Duodu, Maria C. Mariani, Osei K. Tweneboah.
Optimizing Influenza Trend Classification Using Extended Gramian Angular Fields and Distance Plots with Bayesian Optimization (2024), Volume UTEP, Maria C. Mariani, Prince Appiah, Osei Tweneboah.
Solutions to Higher Order Differential Equations (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Kwabena Duodu, Maria C. Mariani.
Solutions to Higher Order Differential Equations (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Kwabena Duodu, Maria C. Mariani.
Investigating Academic Outcomes of Mandatory Precalculus Workshops at a Predominant Hispanic-Serving Institution (2024), Volume UTEP, Kwabena Duodu, Rebecakh Reysen, Maria C. Mariani, Joe A. Guthrie, Alex Sadovski.
Investigating Academic Outcomes of Mandatory Precalculus Workshops at a Predominant Hispanic-Serving Institution (2024), Volume UTEP, Kwabena Duodu, Rebecakh Reysen, Maria C. Mariani, Joe A. Guthrie, Alex Sadovski.
Optimizing Influenza Trend Classification: An Image-Based Approach Using Extended Gramian Angular Fields and Distance Plots for Multivariate Datasets with Bayesian Optimization (2024), Volume UTEP, Prince Appiah, Maria C. Mariani, Osei K. Tweneboah.
Solving Higher Order Differential Equations (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
Solving Higher Order Differential Equations (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
Investigating Academic Outcomes of Mandatory Precalculus Workshops at a Predominantly Hispanic-Serving Institution (2024), Volume UTEP, Rebekah Reysen, Maria C. Mariani, Joe A. Guthrie, Alex Sadovski, Kwabena Duodu.
Investigating Academic Outcomes of Mandatory Precalculus Workshops at a Predominantly Hispanic-Serving Institution (2024), Volume UTEP, Rebekah Reysen, Maria C. Mariani, Joe A. Guthrie, Alex Sadovski, Kwabena Duodu.
Solutions to Higher Order ODEs by Using Integrating Factor Techniques (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
Solutions to Higher Order ODEs by Using Integrating Factor Techniques (2024), Volume UTEP, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
Transforming Time Series into Texture Images for Convolutional Neural Network-Based Classification (2024), Volume UTEP, Prince Appiah, Maria C. Mariani, Osei K. Tweneboah.
Macro-Financial Linkages in Emerging Markets: The interconnectedness between macroeconomic variables and financial markets dynamics (2024), Maria C. Mariani, Kwesi Ohene-Obeng, Osei K. Tweneboah.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2024), Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Osei K. Tweneboah, Ricardo Miro, Peter K. Asante, William Kubin.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2024), Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Osei K. Tweneboah, Ricardo Miro, Peter K. Asante, William Kubin.
Transforming Time Series into Texture Images: A Fusion of Recurrence Plots and Gramian Angular Fields for Convolutional Neural Network-Based Classification (2024), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
ML APPLICATIONS: EXPLORING THE EFFICACY OF WAVELET TRANSFORM IN ENHANCING PREDICTIVE MODELS (2024), Volume Houston Methodist Research Institute, Maria C. Mariani, Kwesi Ohene-Obeng, Osei K. Tweneboah.
Transforming Time Series into Texture Images: A Fusion of Recurrence Plots and Gramian Angular Fields for Convolutional Neural Network-Based Classification (2024), Volume Houston Methodist Research Institute, Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Harnessing Machine Learning and Meta-Learning for Enhanced Medical Diagnosis (2024), Volume NMSU, Jazmin Quezada, Maria C. Mariani.
Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk (2024), Volume WAco, TX, Michael Pokojovy, Andrews Anum, Obed Amo, Maria C. Mariani, Michael Orosz.
Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk (2024), Volume Baylor University, Michael Pokojovy, Andrews T. Anum, Obed Amo, Maria C. Mariani, Michael Orosz.
A Methodology to Transform Non-Image Data into Image for Convolutional Neural Network Architecture (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Prince Appiah, Osei Tweneboah.
Integrating Machine Learning and Optimization Methods for Medical Diagnosis (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Jazmin Quezada, Osei Tweneboah.
Integrating Wavelet Neural Networks to Enhance Stock Market Forecasting in Emerging Markets. (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Kwesi Ohene-Obeng, Osei Tweneboah.
Solutions to higher order ODEs by using integrating factor techniques (2023), Volume The University of Texas at El Paso, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
Solutions to higher order ODEs by using integrating factor techniques (2023), Volume The University of Texas at El Paso, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
A Methodology to Transform Non-image Data to Image for Convolutional Neural Network Architecture. (2023), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Machine Learning Methodologies with Applications to Medical Diagnosis. (2023), Maria C. Mariani, Jazmin Quezada, Osei K. Tweneboah.
An Integrating Factor Approach and Generalized Solutions to Self-Adjoint Differential Equations (2023), Volume Colorado, Julien Esquivel, Maria P. Beccar-Varela, Maria C. Mariani.
An Integrating Factor Approach and Generalized Solutions to Self-Adjoint Differential Equations (2023), Volume Colorado, Julien Esquivel, Maria P. Beccar-Varela, Maria C. Mariani.
Two machine learning models for prostate cancer screening using urinary volatile organic compounds. (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Optimized Machine Learning Methodologies with Applications to Medical Diagnosis (2022), Volume The University of Texas at El Paso, Jazmin Quezada, Maria C. Mariani, Osei K. Tweneboah.
Two machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume The University of Texas at El Paso, Peter K. Asante, Pablo Pablo Bustamante-Murguia, Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Scaling behaviors in extrachromosomal DNA (2022), Volume AMS Central fall sectional Meeting , Maria P. Beccar-Varela, Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah.
Classical, Machine learning and Deep learning approaches to forecast brent oil price with and without inflation rate covariate effect. (2022), Volume The University of Texas at El Paso, Md Shamsul Alam, Maria C. Mariani.
Daily COVID-19 Cases In The US Before and After November 2020: A Multifractal Perspective (2022), Volume The University of Texas at El Paso, Peter K. Asante, Maria P. Beccar Varela, William Kubin, Maria C. Mariani, Osei Tweneboah.
Machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume The University of Texas at El Paso, Peter K. Asante, Pablo Pablo Bustamante-Murguia, Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Modeling High Frequency Oil price Data using Boosting Machine Learning Algorithms (2022), Volume The University of Texas at El Paso, Md Shamsul Alam, Masum Bhuiyan, Maria C. Mariani.
Scaling behaviors in extrachromosomal DNA (2022), Volume The University of Texas at El Paso, Maria P. Beccar Varela, Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Masum Bhuiyan, Julien Esquivel.
Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2022), Volume Honolulu, Hawaii, Maria P. Beccar-Varela, Peter Asante, William Kubin, Maria C. Mariani, Osei Tweneboah, Michael Roberts, Masum Bhuiyan, Julien Esquivel.
Bio-medical Signals: Cantor Detrended Fluctuation Analysis (2022), William Kubin, Maria C. Mariani, Peter Asante, Joe Guthrie, Osei Tweneboah.
Modeling Volcanic and Earthquake Data With A 3-Component Superposed Ornstein-Uhlenbeck SDE driven by a Lévy process (2022), Peter Asante, Maria C. Mariani, William Kubin, Osei Tweneboah.
Analysis of simulated stationary processes using the CDFA (2022), Maria C. Mariani, William Kubin, Peter Asante, Joe Guthrie, Osei K. Tweneboah.
Time series classification using deep learning models (2022), Maria C. Mariani, James Arthur, Osei K. Tweneboah.
Cantor Detrended Fluctuation Analysis (CDFA) (2021), William Kubin, Maria C. Mariani, Peter Asante, Joe Guthrie, Osei Tweneboah.
Modeling US Stock Market Data With A Superposed Ornstein-Uhlenbeck SDE driven by a Levy process (2021), Peter Asante, Maria C. Mariani, William Kubin, Osei Tweneboah.
Deteccion de escalas en ADN extracrosomal (Detection of scales in extrachrosomal DNA) (2021), Sebastian Jaroszewicz, Maria P. Beccar-Varela, Osei Tweneboah, Maria C. Mariani.
Análisis multifractal de los casos diarios de COVID-19 en Argentina (Multifractal analysis of daily COVID-19 cases in Argentina) (2021), Maria C. Mariani, Sebastian Jaroszewicz, Maria Beccar Varela, Osei Tweneboah.
Deteccion de escalas en ADN extracrosomal (Detection of scales in extrachrosomal DNA) (2021), Sebastian Jaroszewicz, Maria C. Mariani, Maria Beccar Varela, Osei Tweneboah.
Multifractal Study of Mobility in Argentina During the Pandemic (2021), Volume Trieste , Italy, Sebastian Jaroszewicz, Maria P. Beccar Varela, Osei Tweneboah, Maria C. Mariani.
Daily COVID-19 Cases in Ghana Before and After Dec 7, 2020 Elections: A Multifractal Perspective. (2021), William Kubin, Maria C. Mariani, Peter Asante, Osei Tweneboah.
Modeling US-stock markets using a superposed Ornstein-Uhlenbeck SDE driven by a Levy process (2021), Maria C. Mariani, Peter Asante, William Kubin, Osei Tweneboah.
Solving Third Order Ordinary Differential Equations by using Ricatti Equations (2021), Volume Honolulu, Hawaii, Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah, Peter Asante.
Multifractal Analysis of Daily US covid-19 cases (2021), Maria C. Mariani, W. Kubin, Peter Asante, Osei K. Tweneboah, Maria P. Beccar-Varela.
Solving Third Order Ordinary Differential Equations by using Ricatti Equations (2021), Maria P. Beccar-Varela, M. A. Bhuiyan, Maria C. Mariani, Osei K. Tweneboah, Peter K. Asante.
Analyzing the effects of missing data in time series with machine learning techniques second report (2020), Jazmin Quezada, Maria C. Mariani.
High frequency study of EL Niño Southern Oscillation index (2020), Sebastian Jaroszewicz, Maria C. Mariani, Maria P. Beccar-Varela, Osei Tweneboah.
Analysis of High Frequency Financial Data using Dynamic Fourier Models (2020), Masum Bhuiyan, Maria C. Mariani, Maria P. Beccar-Varela, Ionut Florescu.
Comparing predictive performance of statistical learning models on medical data (2020), Francis Biney, Maria C. Mariani, Osei Tweneboah.
Analysis of High Frequency Financial Data using Dynamic Fourier Models (2020), Md Al Masum Bhuiyan, Maria C. Mariani, Maria P. Beccar-Varela.
Findings from a Pre-Calculus Intervention to Shift Pre-Calculus to a Gateway Course (2020), Elsa Y. Villa, Maria C. Mariani, Erika L. Mein, Christina Convertino, Nada F. Al-Hanna.
High frequency study of EL Niño Southern Oscillation index (2020), Maria C. Mariani, Sebastian Jaroszewicz, Osei Tweneboah , Maria P. Beccar-Varela.
Modeling earthquake series dependencies by using coupled system of stochastic differential equations (2020), Osei K. Tweneboah , Maria C. Mariani.
Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
Relationship between Self-Similar Models and The Lévy Model (2020), William Kubin, Maria C. Mariani, Peter K. Asante , Osei K. Tweneboah.
Superposed Inverse-Gaussian (IG(a,b)) Ornstein-Uhlenbeck model applied to geophysics and financial data (2020), Peter K. Asante, Maria C. Mariani, William Kubin , Osei Tweneboah.
Using Machine Learning for the prognosis and diagnosis of an Imbalanced Cancer dataset (2020), James Arthur, Maria C. Mariani, Osei Tweneboah.
Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.

Grants

Developing Evidence-Based Learning Environment for Success in STEM (DEBLES): Increasing the Retention of Minorities and Women - Collaborative research with TAMUCC (10/01/2022 - 12/31/2026) - MSIP - Department of Education - UTEP is a Subcontract
GET PHIT Gaining Equity in Training for Public Health Informatics and Technology - Subcontract (10/01/2021 - 09/01/2026)
Machine learning for predicting groundwater quality and understanding controls on contaminants: A new approach for finding low-cost, safe drinking water sources (06/01/2025 - 06/30/2026) - ISSR - Institute for Strategic and Sustainable Resources (ISSR)
Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients (02/01/2021 - 12/31/2025) - NIH
Building Research Capacity Building at UTEP (01/01/2018 - 12/31/2020) - DEPT OF EDUC
Developing Evidence-Based Learning Communities in STEM Gateway Courses: Increasing Persistence and Timely Completion of STEM (01/01/2016 - 12/31/2020) - DEPT OF EDUC
DEVELOPING EVIDENCE-BASED LEARNING ENVIRONMENT FOR SUCCESS IN STEM (DEBLES): INCREASING THE RETENTION OF MINORITIES AND WOMEN (10/01/2020 - 09/30/2020) - TEXAS A&M UNIVERSITY- CORPUS CHRISTI (TX)

Current/Future Courses

Term	Course	Section
Fall 2025	DS 6398 - Dissertation I	16166
Fall 2025	DS 6399 - Dissertation II	15109
Fall 2025	DS 6390 - DS Research Collaborative	14032
Fall 2025	CPS 6386 - Graduate Interdisciplinary Res	18156
Fall 2025	CPS 6387 - Graduate Research	18082
Fall 2025	MATH 5396 - Graduate Research	12747
Fall 2025	MATH 5396 - Graduate Research	16238
Fall 2025	MATH 1508 - Precalculus	15630
Summer 2025	DS 6399 - Dissertation II	32878
Summer 2025	RSRC 4033 - Undergraduate Research	31200

Past Courses

Select Term:

Term	Course	Section	Syllabus
Fall 2025	DS 6399 - Dissertation II	15109
Fall 2025	DS 6390 - DS Research Collaborative	14032
Fall 2025	CPS 6386 - Graduate Interdisciplinary Res	18156
Fall 2025	CPS 6387 - Graduate Research	18082
Fall 2025	MATH 1508 - Precalculus	15630
Spring 2025	DS 6398 - Dissertation I	27752
Spring 2025	DS 6399 - Dissertation II	25042
Spring 2025	DS 6390 - DS Research Collaborative	24562
Fall 2024	DS 6398 - Dissertation I	17573
Fall 2024	DS 6399 - Dissertation II	15951
Fall 2024	DS 6390 - DS Research Collaborative	15832
Fall 2024	MATH 1508 - Precalculus	16886	Syllabus
Summer 2024	DS 6399 - Dissertation II	33302
Summer 2024	DS 6390 - DS Research Collaborative	32943
Spring 2024	DS 6399 - Dissertation II	26042
Spring 2024	DS 6390 - DS Research Collaborative	26091
Spring 2024	STAT 6396 - Graduate Research	26065
Spring 2024	STAT 5370 - Special Topics	27968
Spring 2024	STAT 5370 - Special Topics	28112
Spring 2024	STAT 6370 - Special Topics	26064
Spring 2024	STAT 6370 - Special Topics	26093
Spring 2024	STAT 6370 - Special Topics	26128
Spring 2024	STAT 6370 - Special Topics	26129
Spring 2024	STAT 6370 - Special Topics	28151
Fall 2023	DS 6399 - Dissertation II	17545
Fall 2023	DS 6390 - DS Research Collaborative	15306
Fall 2023	MATH 5396 - Graduate Research	13579
Fall 2023	MATH 1508 - Precalculus	10884	Syllabus
Fall 2023	MATH 5370 - Special Topics	13598
Fall 2023	STAT 6370 - Special Topics	15664
Summer 2023	DS 6399 - Dissertation II	36095
Summer 2023	DS 6390 - DS Research Collaborative	35471
Spring 2023	CPS 6399 - Dissertation	24514
Spring 2023	DS 6399 - Dissertation II	27671
Spring 2023	DS 6390 - DS Research Collaborative	26340
Spring 2023	MATH 5396 - Graduate Research	27667
Spring 2023	MATH 5396 - Graduate Research	27953
Spring 2023	STAT 5370 - Special Topics	27954
Spring 2023	STAT 6370 - Special Topics	27792
Spring 2023	STAT 6370 - Special Topics	27793
Fall 2022	CPS 6399 - Dissertation	13255
Fall 2022	DS 6398 - Dissertation I	20251
Fall 2022	DS 6390 - DS Research Collaborative	19985
Fall 2022	MATH 5396 - Graduate Research	16813
Fall 2022	CPS 5399 - Graduate Thesis	13262
Fall 2022	MATH 1508 - Precalculus	11638	Syllabus
Fall 2022	MATH 5370 - Special Topics	16655
Summer 2022	DS 6390 - DS Research Collaborative	36551
Summer 2022	STAT 5370 - Special Topics	36675
Spring 2022	CPS 6399 - Dissertation	26516
Spring 2022	DS 6390 - DS Research Collaborative	29665
Spring 2022	CPS 5396 - Graduate Interdisciplinary Res	21840
Spring 2022	CPS 5399 - Graduate Thesis	26501
Fall 2021	CPS 6398 - Dissertation	18485
Fall 2021	CPS 5398 - Graduate Thesis	18309
Fall 2021	MATH 1508 - Precalculus	11635	Syllabus
Fall 2021	STAT 5370 - Special Topics	20186
Summer 2021	CPS 5397 - Graduate Research	36462
Summer 2021	STAT 5370 - Special Topics	36286
Spring 2021	CPS 6397 - Doctoral Project	28991
Spring 2021	CPS 6396 - Graduate Research	22054
Spring 2021	STAT 5370 - Special Topics	29477
Fall 2020	CPS 6397 - Doctoral Project	12275
Fall 2020	CPS 6396 - Graduate Research	19481
Fall 2020	STAT 5396 - Graduate Research	19990
Summer 2020	MATH 5396 - Graduate Research	36316
Summer 2020	CPS 5399 - Graduate Thesis	36483
Summer 2020	MATH 5399 - Thesis	35322
Summer 2020	MATH 5311 - Topics in Applied Mathematics	33530	Syllabus
Spring 2020	CPS 6399 - Dissertation	27644
Spring 2020	CPS 5396 - Graduate Interdisciplinary Res	22276
Spring 2020	CPS 5397 - Graduate Research	27674
Spring 2020	MATH 5396 - Graduate Research	27547
Spring 2020	CPS 5399 - Graduate Thesis	22547
Spring 2020	MATH 5398 - Thesis	29340
Spring 2020	MATH 5399 - Thesis	27562
Fall 2019	CPS 6399 - Dissertation	13708
Fall 2019	CPS 6397 - Doctoral Project	12429
Fall 2019	CPS 5398 - Graduate Thesis	19154
Fall 2019	MATH 5370 - Seminar	17915
Fall 2019	MATH 5398 - Thesis	17677
Summer 2019	MATH 5311 - Applied Mathematics	33844	Syllabus
Summer 2019	MATH 5399 - Thesis	36582
Spring 2019	CPS 6399 - Dissertation	29042
Spring 2019	CPS 5397 - Graduate Research	29075
Spring 2019	MATH 5396 - Graduate Research	28920
Spring 2019	MATH 5370 - Seminar	27517
Spring 2019	MATH 5370 - Seminar	27778
Spring 2019	MATH 5399 - Thesis	28954
Fall 2018	CPS 6397 - Doctoral Project	12614
Fall 2018	MATH 5396 - Graduate Research	19505
Fall 2018	MATH 5370 - Seminar	19584
Fall 2018	MATH 5398 - Thesis	19129
Summer 2018	MATH 5311 - Applied Mathematics	34284	Syllabus
Summer 2018	MATH 5370 - Seminar	35978
Spring 2018	CPS 6398 - Dissertation	23186
Spring 2018	CPS 5396 - Graduate Interdisciplinary Res	22595
Spring 2018	CPS 6396 - Graduate Research	22681
Spring 2018	CPS 5399 - Graduate Thesis	22909
Spring 2018	MATH 5370 - Seminar	28979

Course Evaluations

Term	Course	Section	Evaluation
Fall 2024	MATH 1508 - Precalculus	16886	Evaluation
Fall 2023	MATH 1508 - Precalculus	10884	Evaluation
Fall 2022	MATH 1508 - Precalculus	11638	Evaluation
Fall 2021	MATH 1508 - Precalculus	11635	Evaluation
Summer 2020	MATH 5311 - Topics in Applied Mathematics	33530	Evaluation

Bio

No info available.

Awards and Honors

Shigeko K. Chan Distinguished Professor in Mathematical Sciences - UTEP (01/01/2012-12/31/2012)
College Of Arts & Siences Faculty Outstanding Achievement Award in Research, Teaching and Service - New Mexico State University. (01/01/2008-12/31/2008)
Nominated By The Department Of Mathematical Science For The Patricia ChristmoreFaculty Teaching Award (01/01/2004-12/31/2004)
Scientific Production Award - University Of Buenos Aires (01/01/1996-12/31/1996)
Scientific Production Award - University Of Buenos Aires (01/01/1995-12/31/1995)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
Scientific Production Award - University Of Buenos Aires (01/01/1994-12/31/1994)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1993-12/31/1993)
Scientific Production Award - University Of Buenos Aires (01/01/1993-12/31/1993)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires (01/01/1992-12/31/1992)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1992-12/31/1992)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1991-12/31/1991)
Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1990-12/31/1990)

MS in Physics, Univ. of Buenos Aires (1995)
Ph D in Mathematical Science, Univ. of Buenos Aires (1992)
MS in Mathematics, Univ. of Buenos Aires (1987)

Publications

Fusion of Recurrence Plots and Gramian Angular Fields with Bayesian Optimization for Enhanced Time Series Classification Axioms (2025), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
Understanding the Dynamic Loss Modulus of NR/SBR Blends in the Glassy-Rubbery Transition Zone. Polymers 17 (10) (2025), Angel J. Marzocca, Marcela A. Mansilla, Maria P. Beccar-Varela, Maria C. Mariani.
Understanding the Dynamic Loss Modulus of NR/SBR Blends in the Glassy-Rubbery Transition Zone. Polymers 17 (10) (2025), Angel J. Marzocca, Marcela A. Mansilla, Maria P. Beccar-Varela, Maria C. Mariani.
Characterization and Predicting Financial Time Series: An Exploration of Bayesian Stochastics Volatility Models on the Ghana Stock Exchange Composite Risks 13(1) 3 (2024), Osei Tweneboah, Kewsi Ohene-Obeng, Maria C. Mariani.
Machine Learning Methodologies with Applications to Medical Diagnosis 2024 Hawaii University International Conferences (2024), Maria C. Mariani, Kwesi Ohene-Obeng, Osei K. Tweneboah.

Presentations

Applications of non-linear ODEs and solutions by using theoretical and neural network methodologies (2025), Volume Saint Louis University, St. Louis, MO, Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Kwabena Duodu, Osei K. Tweneboah.
Applications of non-linear ODEs and solutions by using theoretical and neural network methodologies (2025), Volume Saint Louis University, St. Louis, MO, Maria P. Beccar-Varela, Ricardo Isaac, Maria C. Mariani, Kwabena Duodu, Osei K. Tweneboah.
Enhancing Medical Diagnosis with Partitioned Local Depth: A Feature Fusion Approach with Multilayer Perceptron (2025), Volume Sam Houston State University, Prince Appiah, Maria C. Mariani, Osei Tweneboah.
Classification of Geophysical Events in the Getchell Mine (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria C. Mariani, Osei K. Tweneboah, Hector Gonzalez-Huizar, Md Al Masum Bhuiyan Bhuiyan , Maria P. Beccar-Varela.
Classification of Geophysical Events in the Getchell Mine (2025), Volume St.Xavier's College,Park Street,Kolkata, India, Maria C. Mariani, Osei K. Tweneboah, Hector Gonzalez-Huizar, Md Al Masum Bhuiyan Bhuiyan , Maria P. Beccar-Varela.

Developing Evidence-Based Learning Environment for Success in STEM (DEBLES): Increasing the Retention of Minorities and Women - Collaborative research with TAMUCC (10/01/2022 - 12/31/2026) MSIP - Department of Education - UTEP is a Subcontract
GET PHIT Gaining Equity in Training for Public Health Informatics and Technology - Subcontract (10/01/2021 - 09/01/2026)
Machine learning for predicting groundwater quality and understanding controls on contaminants: A new approach for finding low-cost, safe drinking water sources (06/01/2025 - 06/30/2026) ISSR - Institute for Strategic and Sustainable Resources (ISSR)
Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients (02/01/2021 - 12/31/2025) NIH
Building Research Capacity Building at UTEP (01/01/2018 - 12/31/2020) DEPT OF EDUC
Developing Evidence-Based Learning Communities in STEM Gateway Courses: Increasing Persistence and Timely Completion of STEM (01/01/2016 - 12/31/2020) DEPT OF EDUC
DEVELOPING EVIDENCE-BASED LEARNING ENVIRONMENT FOR SUCCESS IN STEM (DEBLES): INCREASING THE RETENTION OF MINORITIES AND WOMEN (10/01/2020 - 09/30/2020) TEXAS A&M UNIVERSITY- CORPUS CHRISTI (TX)

Current/Future Courses

Term

Fall 2025

Course

DS 6398 - Dissertation I

Section

16166

Syllabus

Term

Fall 2025

Course

DS 6399 - Dissertation II

Section

15109

Syllabus

Term

Fall 2025

Course

DS 6390 - DS Research Collaborative

Section

14032

Syllabus

Term

Fall 2025

Course

CPS 6386 - Graduate Interdisciplinary Res

Section

18156

Syllabus

Term

Fall 2025

Course

CPS 6387 - Graduate Research

Section

18082

Syllabus

Term

Fall 2025

Course

MATH 5396 - Graduate Research

Section

12747

Syllabus

Term

Fall 2025

Course

MATH 5396 - Graduate Research

Section

16238

Syllabus

Term

Fall 2025

Course

MATH 1508 - Precalculus

Section

15630

Syllabus

Term

Summer 2025

Course

DS 6399 - Dissertation II

Section

32878

Syllabus

Term

Summer 2025

Course

RSRC 4033 - Undergraduate Research

Section

31200

Syllabus

Past Courses

Select Term:

Term

Fall 2025

Course

DS 6399 - Dissertation II

Section

15109

Syllabus

Term

Fall 2025

Course

DS 6390 - DS Research Collaborative

Section

14032

Syllabus

Term

Fall 2025

Course

CPS 6386 - Graduate Interdisciplinary Res

Section

18156

Syllabus

Term

Fall 2025

Course

CPS 6387 - Graduate Research

Section

18082

Syllabus

Term

Fall 2025

Course

MATH 1508 - Precalculus

Section

15630

Syllabus

Term

Spring 2025

Course

DS 6398 - Dissertation I

Section

27752

Syllabus

Term

Spring 2025

Course

DS 6399 - Dissertation II

Section

25042

Syllabus

Term

Spring 2025

Course

DS 6390 - DS Research Collaborative

Section

24562

Syllabus

Term

Fall 2024

Course

DS 6398 - Dissertation I

Section

17573

Syllabus

Term

Fall 2024

Course

DS 6399 - Dissertation II

Section

15951

Syllabus

Term

Fall 2024

Course

DS 6390 - DS Research Collaborative

Section

15832

Syllabus

Term

Fall 2024

Course

MATH 1508 - Precalculus

Section

16886

Syllabus

Term

Summer 2024

Course

DS 6399 - Dissertation II

Section

33302

Syllabus

Term

Summer 2024

Course

DS 6390 - DS Research Collaborative

Section

32943

Syllabus

Term

Spring 2024

Course

DS 6399 - Dissertation II

Section

26042

Syllabus

Term

Spring 2024

Course

DS 6390 - DS Research Collaborative

Section

26091

Syllabus

Term

Spring 2024

Course

STAT 6396 - Graduate Research

Section

26065

Syllabus

Term

Spring 2024

Course

STAT 5370 - Special Topics

Section

27968

Syllabus

Term

Spring 2024

Course

STAT 5370 - Special Topics

Section

28112

Syllabus

Term

Spring 2024

Course

STAT 6370 - Special Topics

Section

26064

Syllabus

Term

Spring 2024

Course

STAT 6370 - Special Topics

Section

26093

Syllabus

Term

Spring 2024

Course

STAT 6370 - Special Topics

Section

26128

Syllabus

Term

Spring 2024

Course

STAT 6370 - Special Topics

Section

26129

Syllabus

Term

Spring 2024

Course

STAT 6370 - Special Topics

Section

28151

Syllabus

Term

Fall 2023

Course

DS 6399 - Dissertation II

Section

17545

Syllabus

Term

Fall 2023

Course

DS 6390 - DS Research Collaborative

Section

15306

Syllabus

Term

Fall 2023

Course

MATH 5396 - Graduate Research

Section

13579

Syllabus

Term

Fall 2023

Course

MATH 1508 - Precalculus

Section

10884

Syllabus

Term

Fall 2023

Course

MATH 5370 - Special Topics

Section

13598

Syllabus

Term

Fall 2023

Course

STAT 6370 - Special Topics

Section

15664

Syllabus

Term

Summer 2023

Course

DS 6399 - Dissertation II

Section

36095

Syllabus

Term

Summer 2023

Course

DS 6390 - DS Research Collaborative

Section

35471

Syllabus

Term

Spring 2023

Course

CPS 6399 - Dissertation

Section

24514

Syllabus

Term

Spring 2023

Course

DS 6399 - Dissertation II

Section

27671

Syllabus

Term

Spring 2023

Course

DS 6390 - DS Research Collaborative

Section

26340

Syllabus

Term

Spring 2023

Course

MATH 5396 - Graduate Research

Section

27667

Syllabus

Term

Spring 2023

Course

MATH 5396 - Graduate Research

Section

27953

Syllabus

Term

Spring 2023

Course

STAT 5370 - Special Topics

Section

27954

Syllabus

Term

Spring 2023

Course

STAT 6370 - Special Topics

Section

27792

Syllabus

Term

Spring 2023

Course

STAT 6370 - Special Topics

Section

27793

Syllabus

Term

Fall 2022

Course

CPS 6399 - Dissertation

Section

13255

Syllabus

Term

Fall 2022

Course

DS 6398 - Dissertation I

Section

20251

Syllabus

Term

Fall 2022

Course

DS 6390 - DS Research Collaborative

Section

19985

Syllabus

Term

Fall 2022

Course

MATH 5396 - Graduate Research

Section

16813

Syllabus

Term

Fall 2022

Course

CPS 5399 - Graduate Thesis

Section

13262

Syllabus

Term

Fall 2022

Course

MATH 1508 - Precalculus

Section

11638

Syllabus

Term

Fall 2022

Course

MATH 5370 - Special Topics

Section

16655

Syllabus

Term

Summer 2022

Course

DS 6390 - DS Research Collaborative

Section

36551

Syllabus

Term

Summer 2022

Course

STAT 5370 - Special Topics

Section

36675

Syllabus

Term

Spring 2022

Course

CPS 6399 - Dissertation

Section

26516

Syllabus

Term

Spring 2022

Course

DS 6390 - DS Research Collaborative

Section

29665

Syllabus

Term

Spring 2022

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

21840

Syllabus

Term

Spring 2022

Course

CPS 5399 - Graduate Thesis

Section

26501

Syllabus

Term

Fall 2021

Course

CPS 6398 - Dissertation

Section

18485

Syllabus

Term

Fall 2021

Course

CPS 5398 - Graduate Thesis

Section

18309

Syllabus

Term

Fall 2021

Course

MATH 1508 - Precalculus

Section

11635

Syllabus

Term

Fall 2021

Course

STAT 5370 - Special Topics

Section

20186

Syllabus

Term

Summer 2021

Course

CPS 5397 - Graduate Research

Section

36462

Syllabus

Term

Summer 2021

Course

STAT 5370 - Special Topics

Section

36286

Syllabus

Term

Spring 2021

Course

CPS 6397 - Doctoral Project

Section

28991

Syllabus

Term

Spring 2021

Course

CPS 6396 - Graduate Research

Section

22054

Syllabus

Term

Spring 2021

Course

STAT 5370 - Special Topics

Section

29477

Syllabus

Term

Fall 2020

Course

CPS 6397 - Doctoral Project

Section

12275

Syllabus

Term

Fall 2020

Course

CPS 6396 - Graduate Research

Section

19481

Syllabus

Term

Fall 2020

Course

STAT 5396 - Graduate Research

Section

19990

Syllabus

Term

Summer 2020

Course

MATH 5396 - Graduate Research

Section

36316

Syllabus

Term

Summer 2020

Course

CPS 5399 - Graduate Thesis

Section

36483

Syllabus

Term

Summer 2020

Course

MATH 5399 - Thesis

Section

35322

Syllabus

Term

Summer 2020

Course

MATH 5311 - Topics in Applied Mathematics

Section

33530

Syllabus

Term

Spring 2020

Course

CPS 6399 - Dissertation

Section

27644

Syllabus

Term

Spring 2020

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

22276

Syllabus

Term

Spring 2020

Course

CPS 5397 - Graduate Research

Section

27674

Syllabus

Term

Spring 2020

Course

MATH 5396 - Graduate Research

Section

27547

Syllabus

Term

Spring 2020

Course

CPS 5399 - Graduate Thesis

Section

22547

Syllabus

Term

Spring 2020

Course

MATH 5398 - Thesis

Section

29340

Syllabus

Term

Spring 2020

Course

MATH 5399 - Thesis

Section

27562

Syllabus

Term

Fall 2019

Course

CPS 6399 - Dissertation

Section

13708

Syllabus

Term

Fall 2019

Course

CPS 6397 - Doctoral Project

Section

12429

Syllabus

Term

Fall 2019

Course

CPS 5398 - Graduate Thesis

Section

19154

Syllabus

Term

Fall 2019

Course

MATH 5370 - Seminar

Section

17915

Syllabus

Term

Fall 2019

Course

MATH 5398 - Thesis

Section

17677

Syllabus

Term

Summer 2019

Course

MATH 5311 - Applied Mathematics

Section

33844

Syllabus

Term

Summer 2019

Course

MATH 5399 - Thesis

Section

36582

Syllabus

Term

Spring 2019

Course

CPS 6399 - Dissertation

Section

29042

Syllabus

Term

Spring 2019

Course

CPS 5397 - Graduate Research

Section

29075

Syllabus

Term

Spring 2019

Course

MATH 5396 - Graduate Research

Section

28920

Syllabus

Term

Spring 2019

Course

MATH 5370 - Seminar

Section

27517

Syllabus

Term

Spring 2019

Course

MATH 5370 - Seminar

Section

27778

Syllabus

Term

Spring 2019

Course

MATH 5399 - Thesis

Section

28954

Syllabus

Term

Fall 2018

Course

CPS 6397 - Doctoral Project

Section

12614

Syllabus

Term

Fall 2018

Course

MATH 5396 - Graduate Research

Section

19505

Syllabus

Term

Fall 2018

Course

MATH 5370 - Seminar

Section

19584

Syllabus

Term

Fall 2018

Course

MATH 5398 - Thesis

Section

19129

Syllabus

Term

Summer 2018

Course

MATH 5311 - Applied Mathematics

Section

34284

Syllabus

Term

Summer 2018

Course

MATH 5370 - Seminar

Section

35978

Syllabus

Term

Spring 2018

Course

CPS 6398 - Dissertation

Section

23186

Syllabus

Term

Spring 2018

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

22595

Syllabus

Term

Spring 2018

Course

CPS 6396 - Graduate Research

Section

22681

Syllabus

Term

Spring 2018

Course

CPS 5399 - Graduate Thesis

Section

22909

Syllabus

Term

Spring 2018

Course

MATH 5370 - Seminar

Section

28979

Syllabus

Term

Fall 2024

Course

MATH 1508 - Precalculus

Section

16886

Evaluation

Term

Fall 2023

Course

MATH 1508 - Precalculus

Section

10884

Evaluation

Term

Fall 2022

Course

MATH 1508 - Precalculus

Section

11638

Evaluation

Term

Fall 2021

Course

MATH 1508 - Precalculus

Section

11635

Evaluation

Term

Summer 2020

Course

MATH 5311 - Topics in Applied Mathematics

Section

33530

Evaluation

FACULTY PROFILES

Quick Links

Maria C. Mariani

FACULTY PROFILES

Maria C. Mariani

Bio

Education

Scholarly and Creative Activity

Grants

Courses

Course Evaluations