The use of laboratory and field experiments as a data collection method for understanding economic decisions and testing economic theories; how to design a good and valid economics experiment, the methodology of experimental design. The topics that will be studied theoretically and experimentally in the course include decision-making under risk and uncertainty, decision-making over time and related psychological phenomena/biases, market experiments, bargaining experiments, social preferences, fairness and altruism, incentive schemes and motivation, gender and economic decisions.

Topics will be announced when offered.

Introduction to Turkish economy and Turkish economic institutions: Recent history of the economy; Inward vs outward strategies, political institutions and long-term growth performance; Short-run economic fluctuations, inflation and unemployment; Monetary, fiscal and ex change rate policies; Trade and international competitiveness of the industry; Capital flows, foreign direct investment and privatization; Impact of the local and global financial crises on the economy.

Integration of the knowledge from different areas of the economics curriculum: microeconomics, macroeconomics, econometrics by applying concepts and frameworks to real life cases to formulate and implement creative and effective solutions to economic challenges; teamwork and presentations.

Integration of the knowledge from different areas of the economics curriculum: microeconomics, macroeconomics, econometrics by applying concepts and frameworks to real life cases to formulate and implement creative and effective solutions to economic challenges; teamwork and presentations.

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.

The use of laboratory and field experiments as a data collection method for understanding economic decisions and testing economic theories; how to design a good and valid economics experiment, the methodology of experimental design. The topics that will be studied theoretically and experimentally in the course include decision-making under risk and uncertainty, decision-making over time and related psychological phenomena/biases, market experiments, bargaining experiments, social preferences, fairness and altruism, incentive schemes and motivation, gender and economic decisions.

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

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

Introduction to the process of investing in financial securities; overview of the investment decision-making process; analysis of securities markets and trading practices; asset pricing under the capital asset pricing and the arbitrage pricing models; principles of modern portfolio theory; performance measurement techniques; asset allocation strategies; introduction to fixed income and derivative securites, risk management strategies.

Introduction to the process of investing in financial securities; overview of the investment decision-making process; analysis of securities markets and trading practices; asset pricing under the capital asset pricing and the arbitrage pricing models; principles of modern portfolio theory; performance measurement techniques; asset allocation strategies; introduction to fixed income and derivative securites, risk management strategies.

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.

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.

DC Circuits, Basic Concepts, Basic Laws, Methods of Analysis, Circuit Theorems, Operational Amplifiers, Capacitors and Inductors, First-Order Circuits. AC Circuits: Sinusoids and Phasors, Sinusoidal Steady-State Analysis, AC Power Analysis, , Magnetically Coupled Circuits, Applications of the Laplace Transform, Frequency Response, Bode plots

Computer technology, digital hardware, boolean algebra, logic functions and gates, canonical forms, simplification of boolean functions, Karnaugh maps, number systems, conversions, complement arithmetic, adders, multiplexers, tri-state outputs, decoders, encoders, sequential logic, flip-flops, sequential circuit analysis, sequential circuit design, registers and counters, memory and programmable logic, central processing unit. A design project.

Review of the frequency concept; analysis of circuits as linear systems, frequency response of circuits; introduction to communication systems, analog/digital modulation and demodulation; analog amplitude, frequency and phase modulation; digital amplitude shift keying, frequency shift keying and phase shift keying; review of bilateral and unilateral Laplace transform; introduction to z-transform; introduction to analog and digital control systems, first and second order systems, stability of closed-loop systems; root-locus method; frequency-domain methods and bode plots.