Teaching
Course Description:
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, or 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.
Course Description:
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
Georgia Tech in its quest to prepare next-generation academics has established the Center for Teaching and Learning. CTL has been training graduate students under their flagship Tech to Teaching program. I successfully completed the capstone requirement to become a certified Tech to Teaching associate in 2020.
This certification program is designed at 3 levels to develop teaching skills among the candidates with in-depth knowledge of the scholarship of learning and teaching. Once the candidate learns the details, then they have to demonstrate the skills in the real classroom set up by teaching a full class.
In the first level, the foundation of teaching and learning is taught. In the second level participants are trained to prepare course syllabus, teaching statement, and lesson plans. In the final leg, of the capstone level, candidates are asked to practice their skills in the classroom and are evaluated by the experts for their teaching skills.
More information here.