Data Science/Artificial Intelligence (DSAI) DSAI-1000 Fundamentals of Generative AI–Fa, Sp 2 hours This course explores the foundational concepts and applications of generative AI, highlighting ethical, societal, and spiritual implications through a Christian worldview. Learners will practice using AI tools for real-world solutions while integrating faith and technical expertise. Focusing on content creation, data analysis, and decision-making, the course prepares students for leadership roles that prioritize Christ, ethics, love, justice, and human dignity. Credit/no credit. DSAI-2110 Data Management for AI–Fa 3 hours Introduces students to the essential principles of data management in the context of artificial intelligence applications. Topics include data acquisition, cleaning, transformation, integration, and bias evaluation, with a focus on ethical data stewardship and responsible AI practices. Students will develop hands-on skills in data preparation for AI workflows, including prompt engineering, chatbot customization, and AI-driven data processing. Practical experience will be gained using modern data management tools. This course emphasizes critical thinking in data management and prepares students to apply these concepts in real-world AI environments. (Fee: $50) DSAI-3110 3 hours Foundations of Data Science and Machine Learning–Sp This courses introduces the principles of data science and surveys machine learning techniques. Literate programming using either R or Python will be introduced to train machine learning models, graph multidimensional data, and generate reports. Statistics and linear algebra concepts will be covered including probability distributions, correlation, matrix algebra, and eigenvectors/eigenvalues. Means of handling incomplete data will be discussed as well as data reduction techniques, such as principal component analysis, to improve the performance of trained models. Machine learning techniques surveyed include: k-nearest neighbors, naive Bayes, decision trees, rule-learning algorithms, regression methods, neural nets, and association rules. Focus is placed on properly applying these methods and testing the performance of developed models. Prerequisite: Previous programming course or experience with programming; Prerequisite/Corequisite: statistics course satisfied by one of the following, BUS-2150 Statistics in Business, GMTH-2110 Introduction to Biostatistics, MATH-2520 Discrete Math and Probability Principles for Computer Science, MATH-3110 Probability and Statistics, MATH-3120 Theory of Probability. (Fee: $50) DSAI-3510 Neural Networks and Deep Learning–Fa 3 hours This course builds on foundations of machine learning while focusing on aspects of deep learning. Topics include supervised learning and reinforcement learning. Applications will cover signal processing, image classification, natural language processing, and robotics. Prerequisite: DSAI-3110 Foundations of Data Science and Machine Learning. (Fee: $50) DSAI-4880 1–3 hours Topics in Data Science and Artificial Intelligence–Fa,Sp Study of topics of interest related to data science, machine learning, and artificial intelligence. Possible topics include bioinformatics, adaptive agents, and generative AI. Prerequisite: DSAI-3110 Foundations of Data Science and Machine Learning. Repeatable (must cover different topics if repeated). (Fee: $50) DSAI-4900 1–3 hours Independent Study in Data Science and Artificial Intelligence–Fa,Sp Independent research in various branches of data science and artificial intelligence. Submission and approval of a research proposal must precede registration. Prerequisite: DSAI-3110 Foundations of Data Science and Machine Learning or permission of the instructor. Repeatable (must cover different topics if repeated). Economics (ECON) ECON-2110 Essentials of Economics–Fa, Sp 3 hours The course provides an introduction to the essential principles of economics. These principles would include such areas as supply and demand, elasticity, productivity and cost analysis, economic efficiency, national income, the consumer price index, monetary and fiscal policy, business cycles, and economic performance. Course not applicable to any major from the Robert W. Plaster School of Business and also not open to students with credit for ECON-2330 Microeconomics and/or ECON-2340 Macroeconomics. ECON-2330 Microeconomics–Fa, Sp 3 hours The area of economic inquiry that is concerned with the effect of human behavior on the conduct of affairs within rather narrowly defined units. It is the study of decision-making regarding consumption, production, and exchange that is carried on by individual households and by business firms. ECON-2340 Macroeconomics–Fa, Sp 3 hours The area of economic study that focuses on how human behavior affects outcomes in highly aggregated markets, such as the market for labor or for consumer products. It is a study of the behavior of the economy as a whole, including the study of economic phenomena such as interest rates, the price level and national income, and output and employment. Prerequisite or Corequisite: ECON-2330 Microeconomics or permission of instructor. ECON-3310 Money and Financial Markets–Sp 3 hours This course will introduce the student to monetary economics and how the monetary system impacts the whole complex of financial markets. Building on the foundation of macroeconomics, the course will include detailed analysis of financial markets and institutions as well as monetary theory. The institution of central banking and its influence on money and financial markets will be specifically evaluated. Prerequisite: ECON-2340 Macroeconomics or permission of instructor. Crosslisted with FIN-3310. ECON-3335 Intermediate Microeconomics–Fa 3 hours Microeconomics is a study of economic principles that explain how our market-directed economy organizes and coordinates production and exchange. The principles explain a wide variety of economic and social phenomena. The course studies basic economic units, households and firms, and the equilibrium through exchange among competing and cooperating people. Prerequisites: ECON-2330 Microeconomics; GMTH-1020 College Algebra; or permission of instructor. ECON-3340 History of Economic Thought 3 hours Principal figures in the development of economic ideas and the contribution of each period of economic thought from the mercantilist to the present. Prerequisite: ECON-2330 Microeconomics or permission of instructor. 2025–26 Undergraduate Academic Catalog Page 243 Course Descriptions DSAI-1000 – ECON-3340
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