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Introduction to Information Systems

Information Systems

ISBN:

978-1-959142-84-3

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Introduction to Information Systems

Mark Keith, PhD James Gaskin, PhD

Information systems professionals solve business problems that rarely have one right answer, so this course emphasizes doing over memorizing. Students begin with how organizations, AI, infrastructure, and security fit together, then model and query data with SQL, automate processes with an instructor-selected programming pathway (VBA, Office Scripts, or Python), and apply descriptive, predictive, prescriptive, and generative analytics to support decisions. A recurring LinkedIn jobs case carries data from the database unit into analytics, and the course closes with web development fundamentals that turn results into an accessible, audience-ready publication. Students leave with a shared business core: the ability to retrieve and prepare reliable data, interpret analysis without overstating it, manage technology and AI risk, and defend a recommendation with evidence.

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Course Objective

Teach students the role of information systems in organizational strategy through hands-on activities that support business decision-making.

Table of Contents

Foreword: Foreward Chapter 1: Concepts: Information Systems in Organizations Chapter 2: Concepts: Artificial Intelligence Chapter 3: Concepts: Hardware and Networking Basics Chapter 4: Concepts: Information Systems Security and Privacy I Chapter 5: Concepts: Information Systems Security and Privacy II Chapter 6: Database: Organizational Information Chapter 7: Database: Entity-Relationship Diagrams Chapter 8: Database: SQL Select Statements Chapter 9: Dev: Systems Development Life Cycle Chapter 10: Dev: Flowcharts and Algorithms Chapter 11: Dev: Introduction to VBA in Excel Chapter 12: Dev: Objects, Navigation, and Conditionals Chapter 13: Dev: Loops Chapter 14: Dev: Batch Processing Chapter 15: Dev: String Manipulations Chapter 16: Analytics: Data Mining Concepts Chapter 17: Analytics: PivotTables and Charts Chapter 18: Analytics: Descriptive Analyses with Tableau Chapter 19: Analytics: Making Predictions with Excel Chapter 20: Analytics: Business Optimization with Solver Chapter 21: Web: Fundamentals of HTML Chapter 22: Web: CSS Styling Chapter 23: Web: CSS Positioning Chapter 24: Web: Bootstrap Themes and Live Tableau

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