This course is designed to prepare business managers with both accountancy and business management skills essential in today’s complex business environment.
The course’s learning objectives reflect that: modern accounting with the advent of information technology is no longer simply the recording of historical facts but the assembly and management of accounting information and its distribution to both external and internal users; this information facilitates the decision processes necessary to compete in today’s increasingly complex business world and; an accounting information system capable of providing relevant, timely and reliable information must be administered by knowledgeable, competent management skilled in both accountancy and business management.
This Course is geared towards teaching students how to apply systems thinking skills to social responsibility and environmental issues and develop a plan for the implementation of the triple bottom line in an organization.
Students can experience an entire cycle in action research in a complex organization. They are also taught how to frame policy agendas for creating inter organizational collaboration among businesses, government and advocacy organizations. Also social conscience of the leader and their desire to do a contribution to the company which has changed the environment of the business during the last decade.
College Algebra is the introductory course in algebra. The course is designed to familiarize learners with fundamental mathematical concepts such as algebraic equations and inequalities, absolute value, polynomial, rational, exponential and logarithmic functions, conic sections, systems of equations and inequalities, matrices and determinants.
Upon course completion, students will be able to apply a variety of problem-solving strategies to find solutions to an array of real-life problems. This course also provides the algebraic skills needed to pursue higher level studies in mathematics or in their respective academic programs.
Business Intelligence has evolved during the last decade from depicting a photograph of the organization, to predict and prescribe in real time for decision making and competitive advantage.
Many methodologies rely on the advancements of Artificial Intelligence, Data Mining, Machine Learning and Deep Learning. During this course the participant will comprehend and apply for business purposes, different algorithms used for advanced predictive analytics. Data manipulation and analysis involve the use of languages like R or Python, but with a strong scope on business applications and the generation of value for the business.
Additionally, students will use the Data contained in Big repositories (Extract), apply the data analysis to the whole set of data (Transform) and use the information in real time for decision making and execution (Load). This course follows a Problem Based Learning and Case Based Learning structure, with direct presentations from the instructor to clarify the concepts and applications, providing space for the student to learn, participate and innovate.