| | | | | | | |

Programme |

Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc. |

Course Information |

Course Unit Code | Course Unit Title | | Credit Pratic | Credit Lab/A | Credit Total | Credit Ects | Semester |

01END5106 | Advanced Engineering Statistics | 3.00 | 0.00 | 0.00 | 3.00 | 6.00 | 1 |

Course Information |

Language of Instruction | Turkish |

Type of Course Unit | Elective |

Course Coordinator | Assistant Professor Dr. Gültekin ÖZDEMİR |

Course Instructors | |

Course Assistants | |

Course Aims | The student who taken this course will have the basic knowledge of probability, random variables and their special functions, probability distributions, and sampling. |

Course Goals | Descriptive Statistics, Probability, Random Variables and Special Functions, Probability Distributions and Sampling on the basic information you have. |

Learning Outcomes of The Course Unit | 1. Use concepts of probability, random variables, and probability distributions to represent uncertainty within phenomena, 2. Recognize several common probability distributions, 3. Solve probability computation problems, 4. Summarize data using measures of central tendencies and variation, 5. Identify random sampling procedures, 6. Compute confidence intervals associated with measures of central tendency and variation. |

Course Contents | Descriptive statistics, probability theory, discrete and continuous random variables and related distributions, sampling and confidence intervals based on single sample. |

Prerequisities and Co-requisities Courses | |

Recommended Optional Programme Components | |

Mode Of Delivery | |

Level of Course Unit | |

Assessment Methods and Criteria | ECTS / Table Of Workload (Number of ECTS credits allocated) |

Studies During Halfterm | Number | Co-Efficient | Activity | Number | Duration | Total |

Visa | 1 | 50 | Course Duration (Excluding Exam Week) | 14 | 3 | 42 |

Quiz | 0 | 0 | Time Of Studying Out Of Class | 14 | 4 | 56 |

Homework | 0 | 0 | Homeworks | 6 | 3 | 18 |

Attendance | 0 | 0 | Presentation | 0 | 0 | 0 |

Application | 0 | 0 | Project | 0 | 0 | 0 |

Lab | 0 | 0 | Lab Study | 0 | 0 | 0 |

Project | 0 | 0 | Field Study | 0 | 0 | 0 |

Workshop | 0 | 0 | Visas | 1 | 20 | 20 |

Seminary | 0 | 0 | Finals | 1 | 30 | 30 |

Field study | 0 | 0 | Workload Hour (30) | 30 |

TOTAL | 50 | Total Work Charge / Hour | 166 |

The ratio of the term to success | 50 | Course's ECTS Credit | 6 |

The ratio of final to success | 50 | |

TOTAL | 100 | |

Recommended or Required Reading |

Textbook | Lecture Notes |

Additional Resources | |

Material Sharing |

Documents | |

Assignments | |

Exams | |

Additional Material | |

Planned Learning Activities and Teaching Methods |

Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary) |

Work Placements |

As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved. |

Program Learning Outcomes |

No | Course's Contribution to Program | Contribution |

1 | Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods. | 5 |