This course explores the basics of human resource management including selection and hiring, performance appraisal, compensation, staff planning and job analysis. This course also addresses current HR issues such as job search in a difficult economy, discrimination and harassment, workplace violence and on-the-job drug abuse.

Course Outcomes:
1. Upon completion of the course, students will have working knowledge of the role and human resources in the management of a business organization.
2. Students will understand the basic functions of human resource management and how the HR department interacts with the organization and with the individual employee.

This course provides hands-on computer experience in accounting applications, including general ledger, accounts receivable, accounts payable, payroll, and financial statements.

Course Outcomes:
1. Create a new company within the QuickBooks Environment
2. Enter a new account.
3. Demonstrate the ability to properly enter transactions into the A/R, A/P, and other functional areas of the program.
4. Properly run reconciliation reports or bank accounts.
5. Customize and print out financial statements.

This course focuses on the entrepreneurial phases associated with start-up and management of small business. This course will teach future entrepreneurs and managers to recognize opportunities and to use effective entrepreneurial and small business management practices.

Course Outcomes:
1. List and discuss the characteristics of successful entrepreneurs.
2. Analyze new business opportunities that exist in the marketplace.
3. Evaluate the feasibility of pursuing an opportunity that you’ve recognized.
4. Develop a business plan that includes both conceptual and technical components.
5. Identify and discuss obstacles to entrepreneurial success.
6. Identify the resources and financing necessary to start an entrepreneurial venture.
7. Discuss organizational characteristics and best management practices for start-up companies.

This course presents statistical analysis and quantitative tools for applied problem solving and making sound business decisions. Special attention is given to assembling statistical description, sampling, inference, regression, hypothesis testing, forecasting, and decision theory.

Course Outcomes:
1. Understand the meaning and use of statistical terms used in today’s business/economic environment.
2. Collect, organize, summarize, interpret, and present data in tables and charts.
3. Apply descriptive statistical measures to data.
4. Apply probability distributions to model various business and economic processes.
5. Apply statistical inference techniques (including statistical estimation and hypothesis testing) in various business and economic situations.
6. Apply simple linear regression analysis to model various business and economic relationships.

The course helps you identify information-bearing events, assess and improve process efficiency, learn to model and analyze business processes, recognize probabilistic components of business processes, and understand the interactions between human behavior and process design. Hands-on, case-based course work allows you to practice some of the principles addressed. You will demonstrate the ability to utilize business computer applications.
Course Outcomes:

Conceptualize business operations as processes.
1. Model simple business processes in terms of the actors and activity sequences involved, the data flowing through those sequences and the dependencies between data and business activities.
2. Recognize probabilistic components of business processes and assign distributions to these components.
3. Characterize business processes in terms of their key operations characteristics; e.g.,productivity, efficiency, service quality, sustainability, time and costs associated with waiting, material volume and service/product customization.
4. Formulate improvements to observed processes and estimate the effects of these improvements with the help of simulation.
5. Identify the role of information systems in business processes; e.g., recognize and specify where information technology can be applied; recognize the role of Enterprise Resource Planning (ERP) systems.
6. Recognize the interdependence of business processes within and across organizational boundaries.

Introduction to how banks make money and the value they (potentially) add to society.

Banks are a riddle wrapped up in an enigma. We all kind of know that they do stuff with money we don't understand, while the last crisis left a feeling of deep mistrust and confusion. We try to shed a bit of light onto the banking system. Why were banks invented, why did they cause the last crisis and are there alternatives? The video "Banking Explained - Money and Credit" is a resource included in the Finance topic made available from the Kurzgesagt open educational resource series.

Using a cash flow statement to reconcile net income with change in cash

Understanding that a marginal tax rate does not apply to all of income

Economics is built on the premise that humans act rationally, but everyone behaves irrationally some of the time. Is it possible that human irrationality nullifies economic theory? Join Professor Antony Davies of Duquesne University and Erika Davies of George Mason University as they take you on a crash course of behavioral economics, discussing topics like rational choice, heuristics, nudging, and public choice economics.

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

assess their current situation regarding potential big data-induced changes of a disruptive nature,
identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
strengthen their own position and that of their organization in our digitalized knowledge economy
The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

A high-level explanation of digital signature schemes, which are a fundamental building block in many cryptographic protocols.

An introduction to the mechanics of bitcoins and an overview of how transactions take place.