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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 6046 ADVANCED MACRO ECONOMICS ELECTIVE 3 0 0 7

Offered By

Econometrics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR NILGÜN ACAR BALAYLAR

Offered to

Econometrics

Course Objective

Data acquisition, classification and properties of functions used to determine the Nonlinear Time-series (NLTS). To learn the use of models for the system to be controlled and predicted.

Learning Outcomes of the Course Unit

1   To be able to explain Macro-economic phenomenon, events, and the theoretical models 2   To be able to use algebraic approaches for Macro-economic framework for the analysis of general equilibrium theory. 3   To be able to comprehend macro-economic models on the analysis of the causal relationship between the variables. 4   To be able to achieve dynamic analysis of aggregate supply and demand and price level and output. 5   To be able to explain concepts about consumption, savings, investment, budget, approaches to the study of inflation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Basic discussion topics in macro economics 3 Consumption and saving 4 Consumption and saving 5 Investment 6 Saving, Investment and Current Account 7 Government sector 8 Mid-term 9 Government sector 10 Money supply, money demand, exchange rates and prices 11 Inflation: Monetary and Financial Aspects 12 Inflation: Monetary and Financial Aspects 13 Macroeconomic policies in closed economy 14 Macroeconomic policies in closed economy

Recomended or Required Reading

Jorge Nocedal Stephen J. Wright, Numerical Optimization, Springer series, 2006

Planned Learning Activities and Teaching Methods

This course will be presented using methods of expression, discussion and solving problem.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 35 35 Preparation for final exam 1 35 35 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 167

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1