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| Course Description |
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| Course Name |
: |
Probability Models and Simulation |
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| Course Code |
: |
MG28 704 |
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| Course Type |
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Compulsory |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
5 |
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| Name of Lecturer(s) |
: |
Asst.Prof.Dr. MERTDEMİRCİOĞLU
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| Learning Outcomes of the Course |
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Learns what probability and distributions mean.
Can adapt the Markov Chain method to daily life problems.
Knows how to create a simulation model and how to interpret model results.
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
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None |
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| Aim(s) of Course |
: |
This course aims to explain probability models and fundamentals of simulation. It helps students to use simulation models for daily life problems and to interpret the findings. |
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| Course Contents |
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This course gives information about probability, distributions, Markov Chain and simulation models. |
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| Language of Instruction |
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Turkish |
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| Work Place |
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Bloc 2 |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Introduction to Probability
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Reading the given materials |
Lecture and discussion |
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2 |
Discrete Distributions |
Reading the given materials |
Lecture and discussion |
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3 |
Continuous Distributions |
Reading the given materials |
Lecture and discussion |
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4 |
Markov Chains |
Reading the given materials |
Lecture and discussion |
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5 |
Markov Chains
|
Reading the given materials |
Lecture and discussion |
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6 |
Fundamentals of Simulation
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Reading the given materials |
Lecture and discussion |
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7 |
Fundamentals of Simulation
|
Reading the given materials |
Lecture and discussion |
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8 |
Midterm Exam
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Exam preparation |
Exam preparation |
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9 |
Numeric Production |
Reading the given materials |
Lecture and discussion |
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10 |
Queing Theory |
Reading the given materials |
Lecture and discussion |
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11 |
Queing Theory
|
Reading the given materials |
Lecture and discussion |
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12 |
Simulation Models
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Reading the given materials |
Lecture and discussion |
|
13 |
Simulation Models
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Reading the given materials |
Lecture and discussion |
|
14 |
Monte Carlo Simulation |
Reading the given materials |
Lecture and discussion |
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15 |
Monte Carlo Simulation |
Reading the given materials |
Lecture and discussion |
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16/17 |
Final Exam |
Exam Preparation |
Exam preparation |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Niqel Gilbert, Klaus Troitzich,2005, "Simulation for the Social Scientist", Open University Press; 2 edition
Reuven Y. Rubinstein, Dirk P. Kroese, 2007, "Simulation and the Monte Carlo Method", Wiley-Interscience; 2 edition
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| |
| Required Course Material(s) |
Fikri Öztürk, Levent Özbek, 2004, "Matematiksel Modelleme ve Simülasyon", Ankara, 1. baskı
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
0 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Lists and describes the terms of production management and numerical methods and explains the relationship between them |
5 |
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2 |
Lists,describes the basic theoretical models and numerical and statistical methods of business administration, and explains the aim of the models; indicates the strenghts and weaknesses of each model and/or method |
5 |
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3 |
By doing research student explains how to create the basic theoretical models of business administration and to practise numerical and statistical methods.
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5 |
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4 |
Determines proper methods for solving the encountered business problems |
5 |
|
5 |
Applies the business administration methods by following the basic steps |
3 |
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6 |
Achieves the best result by using the basic numerical and statistical analysis programs |
5 |
|
7 |
Takes responsibility as an individual and/or as a part of a team, becomes leader and works effectively |
3 |
|
8 |
Follows the latest developments in his/her field and continuously renews him/herself in recognition of the need for lifelong learning. |
3 |
|
9 |
Following research ethics, in a new field, student uses various resources, processes the information obtained and presents it effectively. |
4 |
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10 |
Questions conventional approaches, implications, and methods, and s/he develops and applies new methods of studying when needed. |
4 |
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11 |
Forms a basis for the decision-making process by doing research on the science of business administration. |
5 |
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12 |
By considering the size, resources, culture, goals and aims of the business, student determines the most appropriate business management approaches, practices and methods. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
0 |
0 |
0 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
20 |
20 |
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Final Exam |
1 |
20 |
20 |
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Total Workload: | 124 |
| Total Workload / 25 (h): | 4.96 |
| ECTS Credit: | 5 |
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