Database Systems Concepts and Design (CS 6400)
Study of fundamental concepts with regard to rational databases. Topics covered include database design, query processing, concurrency control, and recovery. Credit not given for both CS 6400 and CS 6754.
Information Visualization (CS 7450)
Study of computer visualization principles, techniques, and tools used for explaining and understanding symbolic, structured, and/or hierarchical information. Includes data and software visualization. Students cannot receive credit for both CS 7450 and CS 4460.
Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Theoretical/computational foundations of analyzing large/complex modern datasets, including the fundamental concepts of machine learning and data mining needed for both research and practice Cross-listed with CSE 6740.
Computational Science and Engineering Algorithms (CSE 6140)
This course will introduce students to designing high-performance and scalable algorithms for computational science and engineering applications. The course focuses on algorithms design, complexity analysis, experimentation, and optimization, for important science and engineering applications.
Web Search and Text Mining (CSE 6240)
Basic and advanced methods for web information retrieval and text mining: indexing and crawling, IR models, link and click data, social search, text classification and clustering.
Big Data Analytics in Healthcare (CSE 6250)
The course introduces students to analysis and visualization of complex high dimensional data. Both theory and applications will be covered including several practical case studies.
Time Series Analysis (ISYE 6402)
Basic forecasting and methods, ARIMA models, transfer functions.
Nonparametric Data Analysis (ISYE 6404)
Nonparametric statistics and basic categorical data analysis.
Design and Analysis of Experiments (ISYE 6413)
Analysis of variance, full and fractional factorial designs at two and three levels, orthogonal arrays, response surface methodology, robust parameter design for production/process improvement.
Regression Analysis (ISYE 6414)
Simple and multiple linear regression, inferences and diagnostics, stepwise regression and model selection, advanced regression methods, basic design and analysis of experiments, factorial analysis.
Computational Statistics (ISYE 6416)
This class describes the available knowledge regarding statistical computing. Topics include random deviates generation, importance sampling, Monte Carlo Markov chain (MCMC), EM algorithms, bootstrapping, model selection criteria, (e.g. C-p, AIC, etc.) splines, wavelets, and Fourier transform.
Bayesian Statistics (ISYE 6420)
Rigorous introduction to the theory of Bayesian Statistical Inference. Bayesian estimation and testing. Conjugate priors. Noninformative priors. Bayesian computation. Bayesian networks and Bayesian signal processing. Various engineering applications.
Simulation (ISYE 6644)
Covers modeling of discrete-event dynamic systems and introduces methods for using these models to solve engineering design and analysis problems.
Probabilistic Models (ISYE 6650)
An introduction to basic stochastic processes such as Poisson and Markov processes and their applications in areas such as inventory, reliability, and queuing.
Deterministic Optimization (ISYE 6669)
An introduction to deterministic optimization methodologies including approaches from linear, discrete, and nonlinear optimization including algorithms, computations, and a variety of applications.
Data Mining and Statistical Learning (ISYE 7406)
Topics include neural networks, support vector machines, classification trees, boosting, and discriminant analyses.
Digital Marketing (MGT 6311)
Become familiar with the key concepts and techniques utilized in modern digital marketing. Understand the primary characteristics of various online channels including mobile marketing, email marketing, and social media marketing. Gain awareness of important concepts and best practices in the use of digital marketing tools (search engine optimization, pay-per-click advertising, etc.).
Data Analysis for Continuous Improvement (MGT 8803)
Financial Modeling (MGT 8803)