Selected Coursework
M.S. Data Science
Machine Learning [A]
University of Colorado, Boulder, CO
Building computer systems that learn from experience. Included supervised learning, reinforcement learning and unsupervised learning, with emphasis on practical and theoretical understanding of the most widely used algorithms including neural networks, decision trees, support vector machines, and Q-learning. Covered connections to data mining and statistical modeling.
M.S. Data Science
Data Structures and Algorithms [A]
University of Colorado, Boulder, CO
Modern regression analysis, analysis of variance, experimental design, nonparametric methods, and Bayesian data analysis. Applications in the R programming language.
M.S. Data Science
Data Mining [A]
University of Colorado, Boulder, CO
Data mining concepts and techniques for discovering patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Included data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and web data.
M.S. Data Science
Information Visualization [A]
University of Colorado, Boulder, CO
Design, development and evaluation of information visualizations. Covered interactive systems, user-centered and graphic design, perception, data storytelling and analysis, and insight generation.
M.S. Data Science
Process Analytics [B+]
University of Colorado, Boulder, CO
The concepts and tools to design and manage business processes. Emphasized modeling and analysis, information technology support for process activities, and management of process flows. Graphical simulation software was used to create dynamic models of business processes and predict the effect of changes.
M.S. Data Science
Statistical Methods & Apps I, II [A, B-]
University of Colorado, Boulder, CO
Exploratory data analysis, probability theory, statistical inference, and data modeling. Topics included discrete and continuous probability distributions, expectation, laws of large numbers, central limit theorem, statistical parameter estimation, hypothesis testing, and regression analysis. Applied modern regression analysis, analysis of variance, experimental design, nonparametric methods, and Bayesian data analysis.
M.S. Data Science
Big Data Architecture [A]
University of Colorado, Boulder, CO
Comprehensive survey of technologies used in the collection, storage, processing, analytics and display of big data. Focused on real world applications.
M.S. Data Science
Cybersecurity for Data Science [B]
University of Colorado, Boulder, CO
Cybersecurity risks and the tools/techniques used to mitigate those risks. Covered the distinctions between confidentiality, integrity, and availability, introduction to cryptographic tools, software resources, and policies essential to data science. Tools and techniques for authentication and access control for producers, curators, and users of data to ensure data security and privacy.
M.S. Data Science
Ethical Issues in Data Science [A-]
University of Colorado, Boulder, CO
Ethical frameworks and data science applications that lead to ethical considerations.
B.S. Business Analytics & Technology
Machine Learning
Trinity University, San Antonio, TX
Study and implementation of machine learning algorithms to solve problems involving big data sets in business analytics. Topics include logistic regression, k-nearest neighbors, linear discriminant analysis, classification trees, k-means clustering, principal component analysis, text mining and sentiment analysis, as well as how to choose the best analytic strategy in different business scenarios.
B.S. Business Analytics & Technology
Linear Algebra
Trinity University, San Antonio, TX
Theory and computations of linear algebra including matrix and vector operations, least squares, linear transformations, eigenvalues and eigenvectors.
B.S. Business Analytics & Technology
Operations Management
Trinity University, San Antonio, TX
The scope of work, tools, and techniques, both qualitative and quantitative, of modern operations management with application to goods and services. Topics included operations strategy, forecasting, facility location and layout, project management, capacity planning, inventory management, quality management, work design, Six Sigma and Lean manufacturing.
B.S. Business Analytics & Technology
The Japanese Production System
Kwansei Gakuin University, Japan
The evolution of production systems from the Middle Ages to present times, focusing on the Lean paradigm, or Toyota Production System. After learning the basics of production management, practitioners study, analyze, compare, and contrast Lean with other older and newer systems and explore the social, cultural, and philosophical context that makes Lean the current benchmark in production quality and efficiency.
B.S. Business Analytics & Technology
Managerial Accounting
Trinity University, San Antonio, TX
Cost and managerial accounting with application to managerial planning, control, and decision making.
B.S. Business Analytics & Technology
Financial Accounting
Trinity University, San Antonio, TX
Identifying, analyzing, measuring, recording, and communicating financial information for business.
B.S. Business Analytics & Technology
Consulting in Business Analytics and Technology
Trinity University, San Antonio, TX
Consultancy projects at the premises of host organization on topics related to current challenges in business analytics, technology, operations, and information systems.
B.S. Business Analytics & Technology
Engineering Analysis I & II
Trinity University, San Antonio, TX
The engineering design process including conceiving, designing, building, and testing a structure or device to best achieve specified performance criteria under realistic constraints. Emphasis is placed on computer aided design (CAD) while including sketching, construction and testing techniques, measurement concepts, data analysis, communication, and time management. Included numerical analysis using computational software, programming mathematical models of physical systems, and data gathering, analysis, and presentation.
B.S. Business Analytics & Technology
Abstract Mathematics
Trinity University, San Antonio, TX
Logic and set theory and the concept of the mathematical proof, framed in introductions to the real line, point set topology, and modern algebra.