ECTS - Quantitative Methods for Management
Quantitative Methods for Management (AVM306) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Quantitative Methods for Management | AVM306 | 6. Semester | 3 | 0 | 0 | 3 | 7 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
Course Lecturer(s) |
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Course Objectives | This course enables the students to know the scientific approach to decision making when solving business problems. Several methods are introduced in applying mathematics to solve management problems quantitatively. The determination of the most efficient use of limited resources in maximizing some measure of benefits could be solved using analytical models. Determining the most profitable distribution pattern for transporting products from factories to markets, and determining the best way to assign a number of objects to a number of other objects are some major example problems handled in this course. Students will be able to apply the most widely used quantitative techniques in decision making and apply mathematics to technical problems in business management. Importance of certain mathematical techniques in getting the best possible solution to a problem involving limited resources will be discussed in this course. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Modeling, spreadsheet modeling, optimization, linear programming, integer programming, network models, transportation models, inventory models, queuing models, forecasting, multi-objective decision making. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to Modeling | |
2 | Introduction to Spreadsheet Modeling | |
3 | Introduction to Optimization | |
4 | Linear Programming Models | |
5 | Linear Programming Models | |
6 | Linear Programming Models Optimization Models with Integer Values | |
7 | Network Models | |
8 | Network Models | |
9 | Midterm | |
10 | Multi-objective Decision Making | |
11 | Inventory Models | |
12 | Inventory Models | |
13 | Forecasting Techniques | |
14 | Forecasting Techniques | |
15 | Queuing Models | |
16 | Final Exam |
Sources
Course Book | 1. Albright F.C., Winston W.L., Management Science Modeling, Pearson Education, Prentice Hall, 2011 |
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2. Taha, Hamdy A. Operations Research: An Introduction;, 6th Ed. Pearson Education Asia Pte Ltd., Singapore, 2001 | |
3. Render, Barry and Ralph M. Stair Jr., Quantitative Analysis for Management; 7th Ed., Prentice Hall, New Jersey, 2000 | |
4. Anderson, David R., Sweeney, Dennis J, and Williams, Thomas A., Quantitative Methods for Business: 9th Ed., South Western College Publishing, Cincinnati, Ohio, 2003 | |
5. Frederick S. Hillier, Mark S. Hillier; Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets, , 3/e, McGraw Hill publishers. |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 2 | 20 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 50 |
Toplam | 4 | 100 |
Percentage of Semester Work | 50 |
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Percentage of Final Work | 50 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | X |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Ability to determine, identify, formulate and solve the problems in the field of aviation management; for this purpose, ability to select and apply appropriate methods of analyzing and modelling | X | ||||
2 | Adequate knowledge in the areas of business, management, and aviation management; ability to apply to identify and solve the problems encountered in the field of air transport operations and theoretical and practical knowledge in these areas. | X | ||||
3 | Ability to design to meet the specific requirements of complex system or process related to aviation management, under realistic constraints and conditions; for this purpose, ability to apply modern design methods.( Realistic constraints and conditions, depending on the nature of the design, contain items as economics, environmental issues, sustainability, manufacturability, ethical, health, safety, social and political problems.) | X | ||||
4 | The ability to select, use and develop of modern techniques and tools that are needed for the applications needed in aviation management;the ability to use information technologies effectively. | X | ||||
5 | To examine the problem of aviation management experimental design, conducting experiments, collecting data, analyzing and interpreting the results skills. | X | ||||
6 | The ability to work effectively in the disciplinary and multi-disciplinary teams; individual study skills. | X | ||||
7 | Effective verbal and written communication skills in English; follow the information and developments in the field and be able to share with other people, use it in the B1 level of European Language Portfolio, knowing at least one foreign language. | X | ||||
8 | Aware of the necessity of lifelong learning, ability to access to information, follow developments in science and technology and continuous self-renewal ability. | X | ||||
9 | Information about business applications such as project management, risk management and change management; awareness of entrepreneurship, innovation and sustainable development. | |||||
10 | Information about the effects of aviation management applications on health, environment and safety in the universal and social dimensions and be aware of the legal consequences of the applications to be performed. | X | ||||
11 | To possess conscious about the effects of management and workplace applications of aviation management enterprises on occupational and environmental safety and the health of employees, as well as awareness about legal consequences of these applications. | X | ||||
12 | To possess conscious about responsibility of professional and ethics. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 5 | 70 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 2 | 10 | 20 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
Total Workload | 183 |