Arizona State University
BUS 384, Business Operations and Planning (Spring 2024)
WPC 300, Problem Solving and Actionable Analytics (Fall 2023)
This course provides foundational skills for exploring unstructured business problems. The course will cover techniques to approach decision-making in a systematic manner, enabling students to become more comfortable in handling tasks or projects that are not initially well defined. Methods will include exercises in brainstorming and iterating as well as the use of more traditional analytical tools (such as spreadsheets and visualization software). The course will offer applications across different functional areas and disciplines. After the course, a student should be able to better understand the types of problems businesses confront and solve, the information available to bring to bear on decisions, and modeling techniques and constructs used to solve them. Throughout, communication of results is emphasized.
Georgia Institute of Technology
Why do people buy expensive laptops? How do people respond to rising fuel prices? Why do ice cream parlors set their shops beside each other? All these questions involve one common thread, that is make a ‘decision’ whether to buy, to respond, or to choose a location by an individual, a firm, o society as a whole we call them ‘economic agents'. The Study of choices made by these economic agents is called Microeconomics. Economists use the tools of microeconomics to study all aspects of life, ranging from business to the environment, and even to dating and marriage.
In this course, we will use different concepts such as preferences, demand, supply, prices, incentives, and markets to understand how human choices are influenced by changes in these factors. We will discuss the fundamentals of applied economics of the above-discussed questions and many other real-world examples throughout the course. By the end of the course, you will learn how to think like an ‘economist’ studying the market behavior of consumers and producers.
This course aims to teach the fundamentals of probability theory and statistics useful for economists. In this course, we learn probability theory, various distributions, descriptive statistics, statistical inference, estimation, hypothesis testing, and data analysis. These tools are necessary for becoming a good practitioner and consumer of empirical economics.
The learning objectives of this course are designed according to the first 3 stages of Bloom's taxonomy that is remembering, understanding, and applying. The following goals will be achieved at the end of the course:
Understanding statistics as science and learning fundamental elements of statistics
Implement properties of discrete and continuous distributions of the random variable
Understanding the relationship between the population parameter and sample estimator
List desirable finite sample and asymptotic properties for estimators
Decision-making by drawing statistical inference from point estimates and interval estimates with an empirical project
Tech to Teaching Certificate