1. Introduction
Economics has been grown exponentially. The number of entries in the New Palgrave Dictionary of Economics grew from around 1300 in the first edition (1987) to around 3000 in the third edition (2018) (Source: Wikipedia).

Economics has been distinguished from other social sciences by its formal research methods by using mathematics and statistics. Micro- and Macro-economics are respectively the studies of individual and aggregate behaviors and outcomes. As econometrics grew, it had been separated into micro- and macro-econometrics which are respectively the statistical parts of micro- and macro-economics (roughly speaking).

2. Teaching Philosophy
The teaching philosophy of this course is as follows. In a typical economics program, students are required to take core courses in introductory and intermediate micro- and macro-economics. Hence, students are equipped with the core knowledge so that they are able to learn (either by taking courses or by themselves) various further topics, such as game theory, labor economics, public economics, and macro-policies.

The course is served as a core course in econometrics. The course provides core knowledge in the theories and applications of econometrics.

One could learn microeconomics without learning macroeconomics; but learning serious macroeconomics requires the knowledge in microeconomics. Similarly, microeconometrics is the foundation of macroeconometrics. This course teaches the building blocks of econometrics: laws of large numbers, central limits theorems, moment-based estimation, extremum-based estimation, etc.

3. Course Structure and Prerequisites
This course covers the traditional topics in microeconometrics. The topics are listed in the course schedule below. We will discuss both the theories and applications. The theories are applied to, for example, the estimation of demand and supply curves, labor economics, social economics, and public economics.

There are various courses on econometrics and statistics in the department of economics. The overlaps among courses will be minimized.

No econometrics knowledge is assumed. Each topic will be developed at the beginner level so that the course is self-contained. But a certain level of mathematical maturity is expected (see Wikipedia for interesting definitions of mathematical maturity). Precisely, the prerequisites are
(1) introductory microeconomics;
(2) basic calculus, linear algebra, and statistics.

Essentially, students are expected to know what are market (competitive and non-competitive), demand, supply, differentiation, integration, matrix, vector, probability, distribution, density, expectation (conditional and unconditional), mean, variance, and covariance.

This course is suitable for those who are interested in econometrics and statistics for social sciences. Students who have no training in economics but have solid background in mathematics and statistics are welcome.