The goal of this course is to teach quantitative techniques used in managerial decision-making and to develop the competence for the use of these techniques, as well as summarizing , interpretation and presentation of information
Prerequisite(s)
NA
Corequisite(s)
NA
Special Requisite(s)
A basic knowledge of statistics and English would be useful.
Instructor(s)
Professor Zeynep SÖZEN
Course Assistant(s)
NA
Schedule
Prof. Dr. Zeynep Sözen, Thursday, 14:00-17:00, Ataköy campus, Computer Lab.
Office Hour(s)
Prof. Dr. Zeynep Sözen, Thursday, 17:00-18:00, Ataköy campus, Computer Lab.
Teaching Methods and Techniques
-Lectures, online exercises, project.
Principle Sources
-
Sözen, Zeynep, Yönetim matematiği ders notları, ppt. 2011
Newbold Paul, (çev. Ümit Şenesen) . İşletme ve İktisat için İstatistik;Literatür Yayınevi, 2002.
Goodpasture, John C., Quantitative Methods in Project Management, J.Ross, 2004.
Kobu, Bülent, İşletme Matematiği, Beta Yayınevi, 2009.
Durmuş Dündar, Nazan Çağlar , İstatistik Der Yayınevi- 2008
Other Sources
-
McHugh Arthur, Managerial mathematics, Australian Society of Accountants, Sydney, 1980,
Chang, James, Business Process Management Systems,Auerbach, 2005.
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Course Schedules
Week
Contents
Learning Methods
1. Week
The role of mathematics in project management decision making
Lecture, exercises
2. Week
Basic concepts: raw vs. organized data, data types, scales, population and sample
Lecture, exercises
3. Week
Data collection, data organiztion, data presentation, Graphical presentations, frequency distributions and polygons, pie and bar charts
Lecture, exercises
4. Week
Measures of central tendency
Lecture, exercises
5. Week
Measures of dispersion
Lecture, exercises
6. Week
Probability
Lecture, exercises
7. Week
The normal distribution
Lecture, exercises
8. Week
In class exercises
Lecture, exercises
9. Week
Midyear exam
10. Week
Sampling Methods
Lecture, exercises
11. Week
Mathematical tools in project management: linear programming
Lecture, exercises
12. Week
Queuing theory
Lecture, exercises
13. Week
Tools for measuring benefit: NPV
Lecture, exercises
14. Week
Cost-benefit analysis
Lecture, exercises
15. Week
SWOT analysis; EVA analysis
Lecture, exercises
16. Week
In-class exercises
Lecture, exercises
17. Week
In-class exercises
Lecture, exercises
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Homework / Term Projects / Presentations
1
20
Final Exam
1
50
Program Outcomes
PO-1
- Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications.
PO-2
Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.
PO-3
Evaluate and use new information within the field in a systematic approach.
PO-4
Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject.
PO-5
Critical analysis, synthesis and evaluation of new and complex ideas.
PO-6
Gain advanced level skills in the use of research methods in the field of study.
PO-7
Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently.
PO-8
Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.
PO-9
Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving.
PO-10
Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making.
PO-11
Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary.
PO-12
Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field.
PO-13
Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
PO-14
Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.
PO-15
Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field.
PO-16
Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.
Learning Outcomes
LO-1
Develop an understanding of mathematical and statistical concepts used in the management of projects.
LO-2
Acquire the competence to appmathematical and statistical concepts and techniques in managerial decision-making.
LO-3
Gain skills of applying the statistical approach in the production of knowledge as a manager.
LO-4
Develop problem solving skills.
LO-5
Develop skills in using technology and computer software to solve managerial problems.
LO-6
Develop mathematical problem solving skills.
LO-7
Develop mathematical communication skills.
LO-8
Develop a competence for analyzing, summarizing, presenting and interpreting data for project management.
