Microeconomic behavior of consumers, firms, and markets in domestic and world economy. Demand and supply. Competition and monopoly. Distribution of income. Economic interdependencies in the global economy. Effects of global linkages on individual decisions. prereq: knowledge of plane geometry and advanced algebra

Economic behavior of consumers/firms in domestic/international markets. Demand, supply, competition. Efficiency, Invisible Hand. Monopoly, imperfect competition. Externalities, property rights. Economics of public policy in environment/health/safety. Public goods, tax policy.

Economic behavior of consumers/firms in domestic/international markets. Demand, supply, competition. Efficiency, Invisible Hand. Monopoly, imperfect competition. Externalities, property rights. Economics of public policy in environment/health/safety. Public goods, tax policy. prereq: Honors student, proficiency in high school algebra

Graphs of equations and functions, transformations of graphs; linear, quadratic, polynomial, and rational functions, with applications; inverses and compositions of functions; exponential and logarithmic functions with applications; basic probability rules, conditional probabilities, binomial probabilities. prereq: 3 yrs high school math or satisfactory score on placement exam or grade of at least C- in [PSTL 731 or PSTL 732 or CI 0832]

Math modeling, including linear, polynomial, rational, exponential, logarithmic functions, counting/probability. Excel or calculators used to develop equations/graphs from theoretical/real interdisciplinary data. Projects enable students to use models to examine trends, make predictions. prereq: Three yrs high school math or grade of at least C+ in PsTL 0731 or PsTL 0732 or CI 0832 or placement test score or instr consent

The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]

Standard statistical reasoning. Simple statistical methods. Social/physical sciences. Mathematical reasoning behind facts in daily news. Basic computing environment.

This is an introductory course in statistics whose primary objectives are to teach students the theory of elementary probability theory and an introduction to the elements of statistical inference, including testing, estimation, and confidence statements. prereq: Math 1272

Practical survey of applied statistical inference/computing covering widely used statistical tools. Multiple regression, variance analysis, experiment design, nonparametric methods, model checking/selection, variable transformation, categorical data analysis, logistic regression. prereq: 3011 or 3021 or SOC 3811

Descriptive/basic inferential statistics used in psychology. Measures of central tendency, variability, t tests, one-way ANOVA, correlation, regression, confidence intervals, effect sizes. Psychological measurement. Graphical data presentation. Statistical software. prereq: High school algebra, [PSY 1001 or equiv]; intended for students who plan to major in psychology

This course will introduce majors and non-majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811 (Soc 5811 offered Fall terms only). Soc Majors/Minors must register A-F.

Random variables/probability distributions, statistical sampling/measurement, statistical inference, confidence intervals, hypothesis testing, single/multivariate regression, design of experiments. Applications to statistical quality control and reliability. prereq: MATH 1372 or equiv

Notions of probability. Elementary statistical data analysis. Random variables, densities, expectation, correlation. Random processes, linear system response to random waveforms. Spectral analysis. Computer experiments for analysis and design in random environment. prereq: [3015, CSE upper division] or instr approval

Stochastic models, their usefulness in reasoning about uncertainty in civil, environmental, and geo-engineering. Techniques for identifying, fitting, and validating models using data samples. Testing hypotheses about, and bounding uncertainty attached to, engineering parameters. Applications to civil, environmental, and geo-engineering. prereq: MATH 1372 or equiv

Basic statistical concepts. Develop statistical reasoning/critical thinking skills. Descriptive statistics, probability, sampling and sampling distributions, hypothesis testing, experimental design, linear correlation, linear regression and multiple regression. How to make sound arguments/decisions based on statistics when reviewing news articles or scientific publications with statistical content. Explore/draw conclusions from data using a basic statistical software package.

Conceptual basis of statistical analysis. Statistical analysis of biological data. Data visualization, descriptive statistics, significance tests, experimental design, linear model, simple/multiple regression, general linear model. Lectures, computer lab. prereq: High school algebra; BIOL 2003 recommended

POL 3085 teaches students how to study politics scientifically and introduces them to how to use quantitative analysis to answer political questions. The first part of the class covers how to formulate a theory (a possible answer to a question), specify testable hypotheses (what you would see if the theory is correct or incorrect), and set up a research design to test those hypotheses. In the second part of the class, we cover quantitative data analysis, beginning from preliminary statistical analysis to multivariate linear regression. There is no mathematical or statistical background required for this course. By the end of the class, students should be able to ask and answer political questions using quantitative data and fluently evaluate statistical analyses of political phenomena in the media and many academic articles.

Numerical reasoning, measurement principles. Vital statistics, rates, data description. Probability. Hypothesis testing/confidence intervals for tests on means. Proportions, correlations, linear regression. prereq: [High school algebra or instr consent], students enrolled in School of Nursing must take A/F option

Random variables/distributions. Generating functions. Standard distribution families. Data summaries. Sampling distributions. Likelihood/sufficiency. prereq: Math 1272 or Math 1372 or Math 1572H

Estimation. Significance tests. Distribution free methods. Power. Application to regression and to analysis of variance/count data. prereq: STAT 4101

Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: (MATH 2263 or MATH 2374 or MATH 2573H), (MATH 2142 or CSCI 2033 or MATH 2373 or MATH 2243)

Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]

Logical development of probability, basic issues in statistics. Probability spaces, random variables, their distributions/expected values. Law of large numbers, central limit theorem, generating functions, sampling, sufficiency, estimation. prereq: [2263 or 2374 or 2573], [2243 or 2373]; [2283 or 2574 or 3283] recommended.

Random walks, Markov chains, branching processes, martingales, queuing theory, Brownian motion. prereq: 5651 or Stat 5101

This course introduces the topics of financial reporting and accounting. The purpose of the financial accounting is to provide information to the entity owners and external parties to serve as the basis for making decisions about that entity. A student who successfully completes this class should be able to 1) understand the concepts and principles of accounting, 2) analyze, record and report the accounting treatment of business transactions, and 3) prepare, interpret, and analyze financial statements.

This course introduces the topics of financial reporting and accounting. The purpose of financial accounting is to provide information to the entity owners and external parties to serve as the basis for making decisions about that entity. A student who successfully completes this class should be able to 1) understand the concepts and principles of accounting, 2) analyze, record and report the accounting treatment of business transactions, and 3) prepare, interpret, and analyze financial statements.

This course is about the foundational principles of management, encompassing disciplinary and topical boundaries. We will look at these principles from the perspective of how they guide action, specifically: planning, organizing, leading and controlling. By the end of the course, students will know the basics of how to set up organizations to be effective and innovative, and not just efficient. During the course, you will engage with the material in the course and understand how management frameworks can be used to choose the right internal structures and processes that can best react to your particular industry context and general business environment.

Sustainable Supply Chain and Operations Management focuses on the design and management of transformation processes to provide products and services to create value for the people, planet, and firm prosperity. On the one hand, supply chain and operations management involves the integration of activities and processes, to facilitate the flows of materials, services, finances, and information to convert inputs into the firms? primary products and services. Operational issues include the design of products and processes, the procurement of raw materials, the control of inventories, the maintenance of quality, the planning of human resources and facilities, and the delivery of products or services, so that customer expectations and needs are met. Operations also have significant interactions with other functional areas of the firm (e.g., finance, marketing, strategy, and accounting). Therefore, understanding the role of the operations function and its impact on the competitiveness of the firm from both tactical and strategic aspects is an important part of any manager's training. This course will introduce students to the fundamental concepts, operations practices, and models in both manufacturing- and service-oriented firms. The course will cover both quantitative and qualitative methods.

Concepts/tools for project/budget planning. Program analysis. Interpreting financial reports. Identifying/resolving organizational performance issues. Case studies, real-world exercises. prereq: Jr or sr

Managing/governing nonprofit/public organizations. Theories, concepts, real-world examples. Governance systems, strategic management practices, effect of different funding environments, management of multiple constituencies.

Costing techniques, including activity-based costing. Applying costing methods to determine costs of products, services, and production processes. Use of costs in operating/strategic decisions. prereq: ACCT 2051 or 2050

Costing techniques, including activity-based costing. Applying costing methods to determine costs of products, services, and production processes. Use of costs in operating/strategic decisions. This education abroad course provides an overview of managerial accounting concepts with a lens towards how different cultural contexts might influence the decisions that managers make around the world or in within different organizational cultures. prereq: ACCT 2051 or 2050

How competition for capital in Capital Markets establishes metrics and measures used to understand financial performance of the firm. The course introduces the finance view of the firm and the application of value creation principles to firm decision making. Course presents the centrality of cash flows, the theoretical foundations for Time Value of Money, decision tools for investment of capital, basic valuation of stocks and bonds, and the theoretical foundations for the impact of risk on the required return on investor capital. prereq: ACCT 2050 or ACCT 2051, SCO 2550 or BA 2551 or equivalent statistics course

Financial management principles. Money/capital markets, risk/return/valuation triad, capital budgeting. Capital structure, financial leverage. Cost of capital, financial performance measures, dividend policy, working capital management, international financial management/derivatives. prereq: Acct 2050 or Acct 2051, SCO 2550 or BA 2551 or equivalent statistics course

This course will focus on the people side of business. We will look at how, through managing and leading people, we can create an engaged, productive workforce in order to achieve organizational strategic objectives. The content of this course is complementary to any major or minor. Major topics in this course: - Managing people in an ethical, legal way that is aligned with corporate strategy and helps organizations reach their goals; - Successfully attracting, recruiting, and selecting talented people; - Creating interesting, engaging jobs and giving meaningful feedback in order to retain great employees; - Rewarding and motivating people through intrinsic and extrinsic methods to encourage the most effective and "right" kind of employee behaviors to create an engaged, productive workforce through people strategies and practices.

Human capital is an essential role in today?s organizations. If you plan to be a manager or organizational leader, or if you plan to major or minor in HR, this course is an essential introduction to the role of human resource management in organizations. In this class you will learn: How to recruit and select the best people. How to evaluate performance and give employees feedback. How to help individuals improve when their performance is subpar, and how to conduct terminations when those efforts do not work. Methods that are used to develop individuals so they can move into higher leadership roles. How to examine turnover problems and retain employees. How large companies set pay levels to ensure internal and external equity. Recent issues around worker rights and unions. The basics of employment law. Contemporary human resources issues that employers are dealing with, such as labor market shortages and sexual harassment policies.

This course will look at how, through managing and leading people, we can achieve organizational strategic objectives. The class will learn about managing people in an ethical, legal way that is aligned with organizational strategy and helps organizations reach their goals through recruiting, selecting, training, rewarding, coaching, motivating, and developing the people within the organization. Overall the course will prepare the students to be managers and leaders in an increasingly complex, global business environment.

Digital transformation through new technologies such as artificial intelligence, enterprise systems, electronic commerce, Internet of things, social media; IT strategy and data-driven decision making; privacy and security issues related to the Internet; a must take for students who want to be prepared for the rapidly changing technological landscape as successful professionals

Digital transformation through new technologies such as artificial intelligence, enterprise systems, electronic commerce, Internet of things, social media; IT strategy and data-driven decision making; privacy and security issues related to the Internet; a must take for Honors students who want to be prepared for the rapidly changing technological landscape as successful professionals.

Fundamentals of entrepreneurship. Career paths, including new business start-ups, franchising, acquisitions (including family business succession), corporate venturing, and entre-preneurial services. Legal structures for new business formation. Aspects of business law/ethics.

This course is an introduction to the fundamentals of entrepreneurship. Students will learn entrepreneurship concepts and apply them to opportunities in a variety of global contexts including China, Cuba, Brazil, and others. Students will interact virtually with global entrepreneurs and leaders. After engaging with international entrepreneurs students will apply their experience to future entrepreneurship opportunities.

Introduction to terms, concepts, and skills for analyzing marketing problems. Factors outside the organization affecting its product, pricing, promotion, and distribution decisions. Cases from actual organizations. prereq: ECON 1101 or ECON 1165

Honors: Introduction to terms, concepts, and skills for analyzing marketing problems. Factors outside the organization affecting its product, pricing, promotion, and distribution decisions. Cases from actual organizations. prereq: ECON 1101 or ECON 1165, Honors Student