Common characteristics of developing countries; the role of institutional infrastructure in economic development; alternative theories of development. Economics of growth: capital, labor, human capital and technology. Income distribution and poverty; population growth; urbanization; migration; education; the environment; agricultural progress in the process of economic development.
Common characteristics of developing countries; the role of institutional infrastructure in economic development; alternative theories of development. Economics of growth: capital, labor, human capital and technology. Income distribution and poverty; population growth; urbanization; migration; education; the environment; agricultural progress in the process of economic development.
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.
Choice under uncertainty; game theory; mechanism design; principal-agent models.
Classical and Keynesian theories of cyclical fluctuations; real business cycle theory; determination of employment and real wages; credit markets and financial stability; stabilization policy.
Departures from the standard assumptions: specification tests; a first look at time series; generalised regression; nonlinear regression; simultaneous equations, identification, instrumental variables. Extensions and applications: ML, GMM, VAR, GARCH, panel data.
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.
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.
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.
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