Curriculum: Associate of Applied Business in Business Applications Technology

This course will introduce students to the basics of accounting through the use of a computerized accounting program. This includes analysis of transactions, data entry, and preparation and analysis of computer generated financial statements and reports. This is a hands-on course with the accounting software provided with the textbook. This course is intended for the Associate of Applied Business (AAB) program, and does not apply toward a Bachelors in Business Administration (BBA).

Hands-on course introducing the basics of business productivity applications, specifically in the areas of word processing, spreadsheets, databases, and presentations.

Hands-on course where learners use workplace technologies for optimizing, collaborating, and streamlining workflows, and design innovative solutions using cutting-edge tools.

This hands-on course covers intermediate level word processing software skills.

This hands-on course covers intermediate-level presentation software skills.

This course will enhance students' knowledge and expertise in the evolving world of social media. Students will learn practical, how-to-do techniques to integrate social media into business strategy. The course will also review information security, privacy, and ethics in social media.

This course provides an overview of effective customer service communication principles and practices. Students will explore the essential skills required to interact successfully with customers, including verbal and non-verbal communication, active listening, empathy, and conflict resolution. Through a combination of theoretical concepts and practical applications, students will learn how to build and maintain positive customer relationships, handle challenging situations, and enhance overall customer satisfaction. The course will also cover the role of technology in customer service and strategies for communicating across various channels, such as face-to-face, telephone, and digital platforms. By the end of the course, students will be equipped with the communication tools needed to excel in customer service roles and contribute to organizational success.

An examination of best practices in contemporary workplace management. The course will explore the role and responsibility of managers in today's diverse business environment through the application of business productivity software.

Hands-on course that covers intermediate-level spreadsheet software skills.

This advanced course builds upon foundational spreadsheet skills by focusing on complex, real-world applications and advanced features. Students will deepen their expertise by mastering advanced functions, data analysis tools, automation techniques, and business intelligence features within spreadsheet software. Topics cover advanced data modeling, automation through macros and VBA, and dynamic data visualization, with practical applications focused on enhancing business decision-making.

This course introduces students to the products, tools and environment of the digital media production technology profession. One focus of this course centers on the understanding of various file types, sizes and compression techniques used in digital media. Another focus is how different media are produced using different industry-standard software applications.

English Composition 1001 is a writing-centered course that emphasizes the careful reading, analytical thinking, and persuasive strategies inherent in researching and writing within an academic community. Students learn that rhetorical knowledge is the basis of composing while learning to write with purpose, audience, context, and conventions in mind. Students develop rigorous academic research practices: how to locate and evaluate primary and secondary sources relevant to their line of inquiry and position their own ideas in conversation with public writing. Students also engage in regular self-reflection: articulating what they know, what they can do, and how to apply their knowledge and skills in various contexts.

Intermediate Composition is a writing-centered course that builds on what students learn in first-year composition and focuses students’ attention on theoretical underpinning of how meaning is made, understood, and communicated within and across various discourse communities and genres. The course emphasizes critical reading and writing, advanced research and analysis skills, and rhetorical sensitivity to differences in academic, professional, and public composing. This course challenges students to engage in substantive projects drawing on primary research and source analysis methods and asks students to document, communicate, and reflect on their research.

This course introduces concepts in the design, creation, and manipulation of databases specific to health informatics. Students will learn hands-on skills in analyzing data requirements, database design, implementation, and querying. Topics include database architectures, design, normalization, query languages, security and privacy.

This course focuses on the fundamental principles of data analysis, visual presentation, chart types and how to acquire and process data. The course will present a variety of methods to gather data, analyze data, and visually present data.

This course is an introduction to project management designed to prepare students for project management certification. Course topics include a cross-disciplinary overview of project management using the Project Management Body of Knowledge (PMBOK) ensuring alignment with industry standards. The course content follows the breadth of knowledge consistent with project management credentials. The course is an applied course focusing on case studies and choosing appropriate responses. Students will engage in various project management approaches while preparing for project management certification exams.

A one-semester comprehensive introduction to statistics suitable for students in biology, nursing, allied health, and applied science. Discussion of data, frequency distributions, graphical and numerical summaries, design of statistical studies, and probability as a basis for statistical inference and prediction. The concepts and practice of statistical inference including confidence intervals, one and two sample t-tests, chi-square tests, regression and analysis of variance, with attention to selecting the procedure(s) appropriate for the question and data structure, and interpreting and using the result. Prerequisite: at least 30 on the ALEKS Math test or 420 on the Math Placement Test (MPT) is recommended.

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