COURSE UNIT TITLE

: DECISION MAKING IN INTERNATIONAL BUSINESS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IBS 4192 DECISION MAKING IN INTERNATIONAL BUSINESS ELECTIVE 3 0 0 5

Offered By

International Business and Trade

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYÇA KÜBRA HIZARCI PAYNE

Offered to

International Business and Trade
International Trade and Business (English)

Course Objective

This course provides a framework for analyzing decisions made by firms in an international context. Focus is on management science tools and decision making approaches that are widely used to formulate strategies for the international business-oriented optimization problems.

Learning Outcomes of the Course Unit

1   Have a knowledge understanding the basic concepts of mathematical modeling and linear programming to solve business problems.
2   Be able to use essential tools of management science for making decisions in ambitious and uncertain international business environment.
3   Employ critical thinking and independent problem-solving skills to optimize the complex international business problems.
4   Be able to use Spreadsheet Software and a solver to perform analysis.
5   Communicate clearly the results and explain the managerial implication.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Decision Process and Model Building Lecture
2 Introduction to Linear Programming (LP) LP Applications in International Business Context Lecture
3 Solving LP models Sensitivity Analysis Lecture +Computer Lab Applications
4 Transportation and Assignment Models Lecture +Computer Lab Applications
5 Network Models Lecture +Computer Lab Applications
6 Game Theory Lecture
7 General Overview
8 Decision Theory and Utility Decision Making Under Uncertainty and Risk Lecture
9 Multi Criteria Decision Making Lecture + Computer Lab Applications
10 Comprehensive Case Analysis Class Discussion
11 Comprehensive Case Analysis Class Discussion
12 Comprehensive Case Analysis Class Discussion
13 Comprehensive Case Analysis Class Discussion
14 General Overview

Recomended or Required Reading

1. Text Books:
Statistics, Data Analysis, and Decision Modeling, 2010, Pearson Education.

Introduction to Management Science, Hillier and Hillier, 2010, Pearson Education.

Operations Research: Applications and Algorithms, Wayne L. Winston, 4th ed. or later ed., Thomson Learning.

Decision Theory, Principles and Applications, Giovanni Parmigiani, Lurdes Yoshiko Tani Inoue, John Wiley and Sons, 2009

2. Software:
Spreadsheet Software with Solver add-in.

3. Calculator:
Students will need a scientific calculator for various calculation problems in and out of class, and during exams.

Planned Learning Activities and Teaching Methods

1. Lectures
2. Review Sessions and Class Discussions
3. Computer Applications
4. Case Studies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PAR PARTICIPATION
3 CAS CASE STUDY
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE* 0.30 + PAR* 0.10 +CAS* 0.30 +FIN* 0.30
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + PAR* 0.10 +CAS* 0.30 +RST*0.30


Further Notes About Assessment Methods

None

Assessment Criteria

1. Grade for Student Participation will depend on (i) class attendance, (ii) the quality of the answers student provide to questions posed by the instructor during class, and (iii) the general contribution the student make to the creation of a positive learning environment.

2. A good attendance record will bring the grade up one level, for grades on the boundary between two grade levels.

3. The case analysis requires a systematic and analytic thinking to integrate all business functions and formulate strategies that will enable businesses to succeed in the international business environment. It is the responsibility of the student to contribute to class discussions actively. The contribution will be evaluated for such factors as apparent understanding of the topic, originality and clarity of discussion, comprehensiveness of the solution strategy formulated.

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.
2. Violations of Plagiarism of any kind will result in disciplinary steps being taken.
3. Absence will not be considered an excuse for submitting homework assignments late.

Contact Details for the Lecturer(s)

Asst.Prof.Dr. Aysun KAPUCUGIL IKIZ
aysun.kapucugil@deu.edu.tr
room#: 130

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 12 2,5 36
Preparation for midterm exam 1 15 15
Preparation for final exam 1 15 15
Preparing assignments 5 3 15
Preparing presentations 4 1 4
Final 1 1,5 2
Midterm 1 1,5 2
TOTAL WORKLOAD (hours) 131

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.1455
LO.254455
LO.3
LO.4
LO.5