Courses
EC 381 ECONOMETRICS FOR BUSINESS 3.0 Credit(s)
The course focuses on the application and interpretation of econometric techniques with real-world applications in economics, finance, and business. The course will cover less theoretical aspects of the econometric tools while emphasizing the use of suitable computer software to gain knowledge and experience in business and economic research. The class is divided in four parts: Statistical Estimation and Inference, Ordinary Least Squares (OLS), Advanced OLS models, and Limited Dependent Variables. Prerequisite: Take EC-203
Offered: Fall & Spring Semesters All Years
EC 305 INTERMEDIATE MICROECONOMICS 3.0 Credit(s)
Intermediate Microeconomics builds on foundational microeconomic concepts, offering an in-depth exploration of exchange and production. The course emphasizes the analytical tools essential for understanding economic behavior and market outcomes. At its core, the course cultivates an understanding of microeconomics not merely as a set of questions and answers, but as a systematic way of analyzing individuals and the social order that arises from their actions. Prerequisite: Take EC-203
Offered: Fall & Spring Semesters All Years
EC 306 INTERMEDIATE MACROECONOMICS 3.0 Credit(s)
Intermediate Macroeconomics builds upon the principles of macroeconomics, offering a deep and rigorous examination of economic progress and business cycles. This course uses a mix of theoretical models and real-world data to explore the essential structure and interrelationships among key macroeconomic variables such as national income and output, inflation, unemployment, and macroeconomic policy. Prerequisite: Take EC-203
Offered: Spring Semester All Years
BUAN 404 MACHINE LEARNING FOR BUSINESS 3.0 Credit(s)
This introductory course uses python and gives you an overview of different techniques in machine learning and how it can be applied to economics. The machine learning topics include classification, linear and non-linear regressions, decision trees, and neural networks. This course will give students the basic knowledge behind these machine learning methods and the ability to utilize them in an economic setting. In this course, students will start with a review of fundamentals of Python programming, including developing environment, language syntax, variable types, data structure, and functions. This course use case studies and examples from economics to illustrate the realistic use of machine learning. Prerequisite: Take BUAN-301 CS-111
Offered: Fall & Spring Semesters All Years
EC 495 APPLIED ECONOMICS SEMINAR 3.0 Credit(s)
This culminating, seminar-style course synthesizes key elements of intermediate microeconomics, macroeconomics, and econometrics, fostering an exploration of applied economic analysis. Engaging critically with contemporary scholarship in both micro and macroeconomics, this course underscores the power and value of the economic way of thinking. Prerequisite: Take EC-306 EC-381 EC-305
Offered: Fall Semester All Years
PO 305 ETHICS AND POLITICS 3.0 Credit(s)
Is there a difference between a good person and a good citizen? Do leaders have a higher or lower bar? What does justice look like both within a political community and between sovereign states? This course considers essential ethical frameworks in addressing these questions and more and includes case studies from history and the present day.
Offered: As Needed Contact Department
FN 320 REAL ESTATE FINANCE 3.0 Credit(s)
Real estate finance prepares students to understand the risks and rewards associated with financing and investing in both residential and commercial real estate. Concepts and techniques include investing, financing, appraising and managing real estate portfolios, leasing, managing property, and managing real estate investment funds (REITs). Appraisal techniques such as sales, cost approach and income approach in real estate appraisal are introduced with Excel Examples. Prerequisite: Take FN-215
Offered: As Needed All Years
FN 375 FINTECH 3.0 Credit(s)
The Fintech course is focused on Decentralized Finance, Blockchain, Cryptocurrency and digital payment systems. You will learn about the challenges inherent in fintech, the opportunities it presents, and the regulations that govern it. Prerequisite: Take FN-215
Offered: As Needed All Years
ENG 317 WRITING EVERYTHING 3.0 Credit(s)
Genre-centered courses like essay writing and creative writing focus on those defined genres, and instruction is targeted on providing experience and crafting of those areas. This course is designed to offer the student the opportunity to continue to work on writing, and to add other genres to his/her writing toolbox. Instruction in this course will build on the strategies and techniques learned in other writing classes and extend the student's repertoire to include non-academic, real-world writing experiences. The student will participate in the Writer's Workshop and bring to the class his/her works-in-progress; continue to read and learn from the work of professional writers and apply these critical techniques to writing and revising his/her own work. The student will be expected to develop both as a critic and writer, to participate in classroom discussions and private conferences with me, and to submit a portfolio of work at end of the semester. Prerequisite: FYWS-125;
Offered: Fall Semester All Years
EN 317 WRITING EVERYTHING 3.0 Credit(s)
Prerequisite: Take FYWS-125
Offered: Fall Semester All Years
SM 320 SPORT SALES & PROMOTION 3.0 Credit(s)
Provides a cross-disciplinary approach to a variety of marketing, sales, and promotions issues that confront sport managers. "Sales" encompasses a wide variety of positions, ranging from concessions to season ticket sales. The course will follow a case-study approach and expose students to real-life careers in sports business, as well as introduce students to the world of sport sales and promotion, and will utilize course readings and guest speakers to immerse students in the field.
Offered: All Semesters All Years
SM 330 SPORT ANALYTICS 3.0 Credit(s)
This course is designed to introduce at the basic level the statistics and analytics that dominate the modern-day sports landscape. Primary goal is to work on problem solving and critical thinking skills via exploration of a myriad of emerging analytic processes.
Offered: All Semesters All Years
BUAN 320 ADVANCED EXCEL FOR BUSINESS 1.0 Credit(s)
This one credit course provides students with the advanced Excel knowledge required in some finance and business positions and prepares students to sit for the Microsoft Expert Excel 77-728 Exam. Key topics include managing workbook options and settings; applying custom data formats and layouts; advanced formulas; and advanced charts and tables including pivot tables and charts. Business analysis using Excel is integrated throughout. Prerequisite: take BUAN-210
Offered: Fall & Spring Semesters All Years
ITI 350 DATA ANALYTICS 3.0 Credit(s)
The course covers the breadth of activities and methods and tools that data scientists use to visualize and study patterns in data. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with lab sessions using a programming language. Important machine learning techniques are covered: regression, clustering, classification, association rules, time series analysis, and text analysis. The students are expected to create a final project related to their field of study, write a paper, and present it to the class.
Offered: Fall & Spring Semesters All Years
EX 312 FUNCTIONAL ANATOMY 4.0 Credit(s)
This course provides a review of human anatomy and movements. We will use computer-based simulations and the Human Anatomy/Cadaver Lab for practical structural identification activities. Prerequisite: Take EX-260
Offered: Fall Semester All Years