Foundations of Technology-Assisted Decision-Making

In an era of information overload, manual decision-making is often too slow and prone to human bias. This course provides a clear path for professionals to understand how technology can streamline complex choices and improve organizational outcomes. You will gain the skills to move from intuition-based guesses to evidence-based strategies that drive efficiency. By the end of this course, you will understand how to integrate technical tools into your workflow to solve problems and optimize resources. You will transition from a passive observer of data to an active participant in technology-led strategy. What you'll learn: - Understand the core terminology and frameworks of technology-assisted decision-making. - Apply data-driven logic to solve common challenges in finance, marketing, and logistics. - Explore how modern AI and large language models enhance decision support through effective prompt engineering. - Evaluate the ethical implications and potential biases inherent in automated systems. - Analyze resource allocation models to maximize operational efficiency. - Practice interpreting technical outputs to make informed, human-led final decisions. The course begins with fundamental definitions and the history of decision support systems before moving into practical applications and modern trends like AI-augmented analysis. You will read through detailed explanations and apply your knowledge through written exercises designed for real-world scenarios. This course is designed for beginners and professionals in any field who want to modernize their approach to problem-solving. No prior technical or programming experience is required. Start developing your data-informed decision-making skills today.