Graduate
Institute of Graduate Studies
Project Management (without thesis)
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Management Mathematics

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
İMPY1019 Management Mathematics 3/0/0 DE Turkish 9
Course Goals
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 Heyecan GİRİTLİ
Course Assistant(s) NA
Schedule Will be announced via CATs at the beginning of the semester.
Office Hour(s) Will be announced via CATs at the beginning of the semester.
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.
 
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 Midterm 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-1Develop and deepen knowledge in the field of Project Management.
PO-2Conceive the interdisciplinary interaction which the field of Project Management is related with.
PO-3Use of theoretical and practical knowledge within the field of Project Management at a proficiency level.
PO-4Interpret the knowledge about the field of Project Management by integrating the information gathered from different disciplines and formulate new knowledge.
PO-5Solve the problem faced related to the field of Project Management by using research methods.
PO-6Independently conduct studies that require proficiency in the field of Project Management
PO-7Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field of Project Management.
PO-8Demonstrate leadership in contexts that require solving problems related to the field of Project Management.
PO-9Evaluate knowledge and skills acquired at proficiency level in the field of Project Management with a critical approach and direct the learning.
PO-10Communicate current developments and studies within the field of Project Management to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
PO-11Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.
PO-12Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
PO-13Use advanced informatics and communication technology skills with software knowledge required by the field of Project Management.
PO-14Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values.
PO-15Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes.
PO-16Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
Learning Outcomes
LO-1Develop an understanding of mathematical and statistical concepts used in the management of projects.
LO-2Acquire the competence to appmathematical and statistical concepts and techniques in managerial decision-making.
LO-3Gain skills of applying the statistical approach in the production of knowledge as a manager.
LO-4Develop problem solving skills.
LO-5Develop skills in using technology and computer software to solve managerial problems.
LO-6Develop mathematical problem solving skills.
LO-7Develop mathematical communication skills.
LO-8Develop a competence for analyzing, summarizing, presenting and interpreting data for project management.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8