SME2031 Microeconomics
3 Intermediate Core CreditsMicroeconomics examines the decisions made by consumers, firms and governments in allocating scarce resources. Raw materials are not available in infinite quantities; neither are human labor and productive capital. Managers must deal with real-world constraints in making decisions about production and pricing, while consumers are subject to the constraints of income and prices in satisfying their needs and wants. Governments must set basic rules for an economy, provide certain goods and services, and deal with issues of taxation, income distribution and inequality when determining how a country's resources will be used and who benefits from those resources. The Microeconomics curriculum introduces us to the rules and principles that help guide allocation decisions, and focuses particularly on the role of markets.

Prerequisites: None

ECN2002 Principles of Microeconomics
4 Intermediate Management Credits

**This course is equivalent to SME2031. Students who took SME2031 cannot take this course.**

Microeconomics examines the decisions made by consumers, firms and governments in allocating scarce resources. In a market economy, most allocation is determined by buyers and sellers coming together in markets. In this course, you will delve into the guiding principles that explain both consumer and firm behavior in markets for goods and services. Managers must deal with real-world constraints in making decisions about production and pricing, while consumers are subject to the constraints of income and prices in satisfying their needs and wants. Microeconomic principles also highlight the roles that governments play in the markets as they try to increase the general welfare by, for example, setting rules for the market or providing goods and services the market cannot efficiently provision. This course also examines the nature of competition and how the level of competition in a particular market affects output, prices and profits.

Prerequisites: None

FIN3504 Private Equity

4 Advanced Management Credits

This course will provide students with the opportunity to develop a practical understanding of the private equity industry and related topics generally in the venture capital industry. The course will focus on various phases of activity including fund organization, prospecting, valuation, LBO modeling, negotiating skills and exits. The course will also provide students with an understanding of careers in private equity and related industries. The course is designed to enable students to practically apply financial theory in a way that is consistent with industry practices, techniques and professional expectations. As such, the class will utilize case studies involving real companies and will have a heavy emphasis on the practical financial research skills relevant to private equity, and how industry-specific issues are addressed by private equity professionals.

Prerequisites: Any FIN3000 level course

COM3501: Proactive Crisis Management and Communication

4 advanced electives credits

Proactive Crisis Management and Communication focuses on the key elements of crisis and issues management - before, during and after a crisis. In an age when a company's every move is subject to instant, unfiltered, and global scrutiny and attack, the need for effective, proactive crisis management is greater than ever.

Prerequisites: MKT2000

QTM3675 Probability for Risk Management

4 CreditsThe fundamental objective of this course is to prepare students for the successful completion of the first level probability examination (Exam P) of the Society of Actuaries. While the necessary theory is addressed, this course focuses on problem solving, so it is well suited for any student with an interest in applied probability concepts and how they are related to a wide variety of situations within and beyond actuarial science, finance, and economics. Topics include general probability and univariate and multivariate probability distributions.

Prerequisites: AQM2000

OIM3640 Problem Solving & Software Design
4 Advanced Liberal Arts Credits

Teaches students assorted techniques and strategies to identify, approach and solve problems in business and personal areas. Students learn how to write computer programs to offer efficient solutions for certain types of problems using a computer programming language of the instructor's choice (currently Python). Students complete a capstone project to demonstrate their learning, create something of value, and add to their personal portfolio. This course emphasizes hands-on computer skill development in a computer lab setting. The examples and problems used in this course are drawn from diverse areas such as text processing, webpage scraping, web development and data analytics.

Prerequisites: (QTM1000 or AQM1000) and (SME2012 or OIM2000)

Students are expected to be able to open command prompt window or terminal window, edit a text file, download and install software, and understand basic programming concepts.

OIM7555 Product Design and Development
3 Elective Credits

Product Design and Development (PDD) is an integrated management course that provides students with a field-based understanding of the fundamentals of conceiving, evaluating, and developing successful new physical products. One works in a team-based environment learning how to translate a new product idea into a product concept and final design. The course extends the design toolkit introduced in core MBA courses, preparing students to create final working prototypes to be used to pursue funding for venture launch.

Weissman Foundry resources are used extensively to develop product prototypes. Student teams propose projects or are matched with projects in collaboration with participating client companies. The course culminates in the MBA Product Design Fair where teams present final product prototypes.

The course covers emerging topics and tools in sustainable product design as well as the use of generative artificial intelligence in the design process. While there is some case-based learning, the primary focus is on experiential learning through creating new products. The course is particularly relevant for students interested in launching ventures based on physical products, those seeking employment in companies with a product focus, those wishing to learn more about the design and innovation process through engaging in a semester-long development project, and those interested in product management roles. (3.0 Credit Hours)

Prerequisites: None

MKT 3506: Professional Sales Practicum

4 advanced management credits

This is an interactive, practice-intensive, and apprenticeship course designed for students interested in pursuing a career in professional sales, communication, marketing, and entrepreneurship. It exposes students to frameworks for analyzing sales opportunities, understanding prospect's situation, decoding buying cycles, formulating sales strategies, engaging prospects, building win-win relationships while navigating complex competitive scenarios. This course also leverages theories and practices in athleticism to shed light on the nature of sales environment and the mindset needed to be successful in sales. Class meets once a week (three hours) with class time split between a) discussion of sales theories/insights from practice and b) virtual work in an assigned sales organization (entry level sales roles) under the supervision of a company-assigned mentor. This course will equip students with the knowledge and skills to excel in communication, professional selling, marketing, entrepreneurship, and leadership.

Prerequisite: MKT 2000

OIM6301 Programming for Business Analytics
3 Credits

This course will introduce fundamental programming concepts including data structures and networked application program interfaces, using three different programming languages: SQL and Python. In addition, you will learn to manage structured data (SQL) and unstructured data (Python) At the end of this course, you will gain the basic understanding of programming and managing data in a data science driven world.

You will also learn:

· Understand multiple definitions of business intelligence and its relationship to analytics

· Understand how companies employ BI to shape strategy, monitor performance, and achieve competitive advantage

· Be able to identify opportunities for using different business analytical skills in a variety of business cases

· Understand database management and data warehousing and become competent in implementing them

· Learn to gather, analyze, summarize and visualize data to solve basic business problems

· Be able to program with SQL and Python

· Understand the challenges of big data and the technologies used to build models on and draw inferences from large data sets

Prerequisites: Admission into the MSBA program. CAM students should contact Graduate Academic Services to pursue enrollment in this course. MBA students will be required to review approximately 2 hours of pre-work videos.

QTM2623 Programming with R for Business Analytics
4 CreditsThis course provides experience in developing, testing, and implementing business analytics software using the R language. R has become the leading tool for analytics software design, statistical computing, and graphics. The language is greatly enhanced by numerous open-source contributed packages and textbooks submitted by users, and it is used almost exclusively in most of the leading-edge analytics applications, such as statistical analysis and data mining. No prior programming experience is assumed. Students will become proficient in programming in the R language with datasets of all kinds with an emphasis on statistical exploration, data mining, graphics, and advanced programming concepts. The course will be case-oriented. The intent is to further enhance the learning experience from other analytics courses, such as QTM2000.

Prerequisites: QTM2000 or permission from the instructor