COURSE UNIT TITLE

: ADVANCED MICROECONOMICS I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 6603 ADVANCED MICROECONOMICS I ELECTIVE 3 0 0 7

Offered By

Economics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÜZEYIR AYDIN

Offered to

Economics

Course Objective

To analyze and comprehend basic proposals of micro based theories with mathematical approaches. To test specification problems of decision making units with unstandard methods. To test specification problems of To internalize advanced literature discussions oriented to defining and solving problem.

Learning Outcomes of the Course Unit

1   To be able to analyze dynamics of creating individual / social welfare within the frame of the tools that is gained from economics theory to rational thinking system.
2   To be able to explain the deterministic and and stochastic concept of economic cases depending on proof judgments
3   To be able to analyze data defining problems of micro decision making units
4   To be able to analyze the effects of expectations depending to the latest developments in global scale on other decision making units behaviours.
5   To be able to solve the international and intra-national monetary policy and conjunctural fluctuations crises aspect of financial crises with behavioral economics approach

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Nonlinear programming
2 Probability Distribution Theory
3 Probability Distribution Theory and Statistical Inference
4 Linear regression model
5 Specification problems
6 Data creating problems and Data analysis
7 Limit pricing theory & New approaches to firm manageent theories
8 Mid-term Exam
9 Discussion of Neoclassical firm theory and new approaches to average cost pricing
10 Classical choice theory and unstandard approaches
11 Classical choice theory and unstandard approaches
12 Decision making techniques under risk and uncertainty
13 Evaluation of term projects
14 Evaluation of term projects and Micro based strategy development

Recomended or Required Reading

Chiang, Alpha (1984), Fundamental Methods of Mathematical Economics, 3rd Ed., McGraw-Hill, New York.
Coelli, Tim (1996), "A Guide to DEAP version 2.1: A Data Envelopment Analysis (Computer) Program", CEPA Working Paper 96/08.
Frank, Robert H. (1994), Microeconomics and Behavior, 2nd Ed., McGraw-Hill, New York.
Freeman, C. & L. Soete (2003), Yenilik Iktisadı, Çev: E. Türcan, TÜBITAK Yayınları, Ankara.
Gibbons, Robert (1997), "An Introduction to Applicable Game Theory", Journal of Economic Perspectives 11 (1), 127-149.
Kohler, H. (1990), Intermediate Microeconomics: Theory and Applications, 3rd Ed., Scott, Foresman and Company, USA.
Koutsoyiannis, A. (1979), Modern Microeconomics, 2nd Ed., The MacMillan Press, London.
Kök, R. & E. Deliktaş (2003), Endüstri Iktisadında Verimlilik Ölçme ve Strateji Geliştirme Teknikleri, Izmir.

Planned Learning Activities and Teaching Methods

Methods of the course consist of not only theoretical and methodological contributions at the classroom, but also applications will be done at the laboratory.

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 * 0.25 + STT * 0.25 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.25 + STT * 0.25 + RST* 0.50


*** 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

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

recep.kok@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 25 25
Preparation for final exam 1 30 30
Preparing assignments 1 15 15
Reading 1 20 20
Final 1 4 4
Midterm 1 3 3
TOTAL WORKLOAD (hours) 181

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.1555
LO.255555555
LO.355
LO.455
LO.55