An introduction to the analysis of the economy as a whole; overview of macroeconomic issues, such as the determination of output, unemployment, inflation, and interest rates; basic models of macroeconomics and illustration of basic principles with examples from Türkiye and other countries; economic fluctuations and stabilization policies; long-run economic growth; money and monetary policy; government spending, taxes, and fiscal policy.

Conceptual foundations and modeling tools towards an understanding of economic decisions and interactions; theory of the consumer: preferences and utility maximization, with application to different choice contexts; theory of the firm: profit maximization, cost minimization; market equilibrium with perfect competition, monopoly, and oligopoly; markets for factor of production; introduction to general equilibrium and welfare; public goods and externalities; basic concepts of game theory and strategic interaction; information and market failure.

Real and financial sides of the aggregate economy; determinants of long-term economic growth and the Solow growth model; the business cycle and the behavior of aggregate consumption, savings, investment , and unemployment; aggregate price dynamics and inflation; monetary and fiscal policies in the context of IS-LM framework; open economy: real exchange rate and balance of payments. Impact of financial crises and macroeconomic policy response.

Methods used for empirical examination of economic phenomena. Linear regression: least squares, goodness of fit, prediction; classical regression model; properties of estimators; links between models and economic theory; functional form; interpretation of regression results. Inference; confidence intervals and hypothesis testing; introduction to econometric packages and applications using data from economics and business; implications of relaxing the assumptions of the classical regression model.

Methods used for empirical examination of economic phenomena. Linear regression: least squares, goodness of fit, prediction; classical regression model; properties of estimators; links between models and economic theory; functional form; interpretation of regression results. Inference; confidence intervals and hypothesis testing; introduction to econometric packages and applications using data from economics and business; implications of relaxing the assumptions of the classical regression model.

Theoretical and empirical examination of international financial markets. Adjustment of balance of payments and exchange rate. Effects of devaluation and macroeconomic policy under fixed and floating exchange rates. Short and long term capital flows; interest arbitrage; the Euro-dollar market. Financial Globalization and Financial Crises.

Theoretical and empirical examination of commercial bank operations with specific reference to the Turkish Banking industry. Money supply and demand; the role of commercial banks in the economy and their regulation by monetary authorities; stability of the financial system; bank contracts and their pricing and management with respect to interest rates; inflation and credit risk; securitization of bank assets; factors behind the rapidly growing non-bank sources of corporate funds; the future of banking.

Analysis of problems created by informational asymmetries between agents and how to design contracts to solve these problems; Topics covered include adverse selection, screening, signaling, and moral hazard; Applications to insurance, labor, and credit markets, auctions, and corporate finance.

Covers selected topics in mathematics that are frequently used in economic theory and its applications. Topics include: introduction to optimization theory (existence of a solution, alternative characterizations of compactness, Weirestrass Theorem, convexity); convex sets, concave and quasi-concave functions; characterization of a solution, Lagrange and Kuhn-Tucker approaches; parametric continuity, correspondences and maximum theorem; parametric monotonicity, lattices, supermodularity; fixed point theorems.

Consumer theory; production theory; general equilibrium and welfare.

Long-term economic growth; overlapping generations models; consumption, saving, and investment; real interest rates and asset prices; money and inflation.

Review of probability and statistics: random variables, univariate and joint probability distributions, expectations; bivariate normal; sampling distributions; introduction to asymptotic theory; estimation; inference. Linear regression: conditional expectation function; multiple regression; classical regression model, inference and applications.

The focus of the course is the empirical applications and tests of macroeconomic and/or microeconomic theories. Students are provided with the ability to analyze the standard econometric applications.

Analysis of problems created by informational asymmetries between agents and how to design contracts to solve these problems; Topics covered include adverse selection, screening, signaling, and moral hazard; Applications to insurance, labor, and credit markets, auctions, and corporate finance.

Participation in weekly seminar is required.

Analysis of special corporate finance topics including dividend policy, capital structure, leasing, option valuation, risk management, mergers, and acquisitions.

Structure of financial markets and financial intermediaries; interest rates and security valuation; central banking system and monetary policy; securities markets including money, capital, foreign exchange, and derivatives markets; commercial banking and other depository institutions; institutional investors, including investment banks, insurance companies, mutual funds, and pension funds; introduction to financial risk management.

A Brief History of Electrical and Electronics (EE) Engineering, overview of EE curriculum and tracks, overlaps of tyracks and current applications, description of signals and frequencies, presentation of some subjects by experts such as Signal Processing, Electronics, Communications, Electromagnetism, Optics and their natural extensions Micro-Electro-Mechanical systems, Networks, Vision and Video Processing, Lasers and Photonic systems,Biomedical, MATLAB Programming Language.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

The aim of the course is to give qualified Electrical and Electronics Engineering students a unique opportunity to serve as undergraduate teaching assistants (TAs) as a part of their undergraduate experience. Students are responsible for running review and problem sessions, holding office hours and supervising laboratories for Electrical and Electronics Engineering core and area courses.

Introduction to discrete and continuous time signals and systems. Time-domain signal representations, impulse response of linear time-invariant (LTI) systems, and convolution. Frequency domain signal representations, frequency response of LTI systems, and Fourier analysis. Filtering of continuous and discrete time signals. Sampling and discrete time processing of analog signals. Laplace-transform domain analysis of continuous-time LTI systems. Exercises using MATLAB.

Fundamental concepts of sensors, driving/readout electronics; rational design of sensors, state-of-the-art commercial sensing, remote sensing, Internet of Things; Strain, piezoelectric, pressure, temperature, GPS, chemical, biological, resistive, capacitive sensors, photodetectors, accelerometers, gyroscopes; optical, magnetic sensors, RF sensors, power electronics, self-powered sensors; Sensor networks based on WiFi, 4G, Bluetooth; Human/Animal sensory systems; Feedback control systems; Microfabrication of sensors