Description of Individual Course Units
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Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
PROFESSOR DOCTOR UMAY ZEYNEP UZUNOĞLU KOÇER |
Offered to |
Logistics Engineering (Non-Thesis-Evening) |
Course Objective |
The aim of this course is to introduce the basic concept used in statistics and probability, basic statistical methods and some statistical distibutions. Besides it is aimed to make students expert on the issues such as collecting data, summarizing data by suitable graphics, to obtain the probability distibution of data. In addition, to introduce some of the statistical methods used to analyse data in the field of logistics, to discuss the problem countered in the application and to make the students think about the interpretation of the results. |
Learning Outcomes of the Course Unit |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
F. Ikiz, H. Püskülcü, Ş. Eren, "Istatistiğe Giriş" |
Planned Learning Activities and Teaching Methods |
Presentation, problem solving, homework |
Assessment Methods |
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*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
Further Notes About Assessment Methods |
there will be two projects; one of them is about graphical summary of data, and the other one is about estimation |
Assessment Criteria |
To be announced. |
Language of Instruction |
Turkish |
Course Policies and Rules |
It is the student's responsibility to attend the 70% of courses in the semester. Course time and the time of assignment delivery must be obeyed, and unethical behavior that may occur in the lesseons and exams will be taken the framework of the relevant regulations. |
Contact Details for the Lecturer(s) |
Asst. Prof.Dr. Umay Uzunoğlu Koçer |
Office Hours |
To be announced. |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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