Andrei Leonidovich Shevchenko (Instructor) - Grade Details
(with breakdown by course)
Andrei Leonidovich Shevchenko - All Courses
Average Grade - 3.045
Median Grade - 3.0
Latest grades from Summer 2024
Andrei Leonidovich Shevchenko - Overview
Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
---|---|---|---|---|
EC 252H | Average Grade - 3.592 Median Grade - 3.5 |
207 | Fall 2023 | |
EC 302 | Average Grade - 2.863 Median Grade - 3.0 |
1809 | Summer 2024 | |
EC 811B | Average Grade - 3.588 Median Grade - 3.5 |
132 | Spring 2018 | |
EC 813B | Average Grade - 3.618 Median Grade - 3.5 |
235 | Spring 2024 |
Back to Overview for Andrei Leonidovich Shevchenko
EC 252H - Macroeconomics and Public Policy
Theory of national income, unemployment, inflation and economic growth and its application to economic analysis and policy.
Average Grade - 3.592
Median Grade - 3.5
Latest grades from Fall 2023
See detailed grade info for this course
Back to Overview for Andrei Leonidovich Shevchenko
EC 302 - Intermediate Macroeconomics
National income accounting. Determination of aggregate output, employment, price level, and inflation rate. Policy implications.
Average Grade - 2.863
Median Grade - 3.0
Latest grades from Summer 2024
See detailed grade info for this course
Back to Overview for Andrei Leonidovich Shevchenko
EC 811B - The Structure of Economic Analysis
Static and dynamic decision models in economics. Concepts of equilibrium, stability, comparative statics, and duality.
Average Grade - 3.588
Median Grade - 3.5
Latest grades from Spring 2018
See detailed grade info for this course
Back to Overview for Andrei Leonidovich Shevchenko
EC 813B - Macroeconomics II and its Mathematical Foundations
Neoclassical theory of business cycles and growth. Theories of price and wage rigidities, search approach, imperfect competition, and credit rationing in macroeconomic models. Applications of search theory to labor markets and monetary theory. Asset pricing. Mathematical foundations, reviewing functional analysis, dynamic programming and the Hamiltonian method of optimal control theory.
Average Grade - 3.618
Median Grade - 3.5
Latest grades from Spring 2024
See detailed grade info for this course