ECON104D
Download as PDF
Statistical Foundations of Econometrics and Data Science
Subject
ECON
Catalog Number
104D
Title
Statistical Foundations of Econometrics and Data Science
Course Description
Rigorous introduction to statistical concepts that underpin econometrics. Course emphasizes conceptual understanding, uses mathematics to illustrate ideas, and applies ideas to examples from economics broadly construed. Students analyze data to reinforce understanding. Topics include experimental and non-experimental research designs; modern approaches to summarizing data; random variables, probability, expectations, density and distribution functions; sampling; estimation; inference and hypothesis testing; introduction to linear regression. First course in two-semester econometrics sequence. Prerequisite: Mathematics 21, 106L,111L, 112L, 121, 122, 122L, 202, 202D, 212, or 222.
Grading Basis
Graded
Consent (Permission Number)
No Special Consent Required
Min Units
1
Max Units
1
Discussion
Lecture
General Education Curriculum Codes
(QS) Quantitative Studies