Data scientists work inside organizations. Understanding how information systems support business processes, strategy and decisions shows where your work fits and how it creates value.
Management information systems based on Laudon and Laudon: information systems in business, global e-business and collaboration, organizations and strategy, ethical and social issues, IT infrastructure and emerging technologies, databases and business intelligence, telecommunications, security, enhancing decision making and building systems.
Why organizations use information systems, and their role in the digital firm.
Business processes, types of information systems and tools for collaboration.
Features of organizations and how information systems provide competitive advantage.
Privacy, intellectual property, accountability and the moral dimensions of the information age.
Hardware, software, cloud computing and emerging technologies that make up IT infrastructure.
Database approaches, data warehouses and information management for business intelligence.
Networks, internet services and wireless technologies used by businesses.
System vulnerabilities, threats, controls and security technologies.
Decision support, business intelligence and analytics for management.
Systems as planned organizational change and approaches to system development.
Slide-based theory course. The chapter numbers in the shared files match the textbook (1 to 8, 12 and 13).