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Information
| Unit | FACULTY OF ENGINEERING |
| AUTOMOTIVE ENGINEERING PR. | |
| Code | OMY214 |
| Name | Probability and Statistics |
| Term | 2025-2026 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | BS Basic Science Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MUSTAFA ÖZCANLI |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Introduction to probability theory, teaching basic statistical concepts and learning about statistics and linear algebra
Course Content
Permutation, combination, probability, sample selection, measures of central tendency, random variables
Course Precondition
There is no prerequisite for the course.
Resources
Prof. Dr. Fikri Akdeniz Probability and Statistics Prof. Dr. Aziz Bener, Mathematical Statistics (Probability Calculus)
Notes
Course notes and presentations
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains the ability to collect data in model creation |
| LO02 | Acquires knowledge of organizing and evaluating collected data |
| LO03 | Take precautions and make necessary arrangements according to the results obtained with statistical techniques |
| LO04 | After acquiring basic information, the ability to easily adapt to the subject of interest develops |
| LO05 | Ability to easily participate in teamwork |
| LO06 | Gains the ability to solve problems with theoretical and statistical techniques |
| LO07 | Knows probability functions and applies them to daily problems |
| LO08 | Can set up and solve hypothesis tests |
| LO09 | Hypothesis testing can be applied to problems in various models |
| LO10 | Can analyze using probability and statistics |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Applies sufficient knowledge of mathematics, science, and discipline-specific topics in automotive engineering, utilizing theoretical and practical knowledge in solving complex engineering problems. | 5 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Identifies, defines, and solves complex engineering problems in automotive engineering applications using scientific methods. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Designs a complex system, process, device, or product in automotive engineering under realistic constraints and conditions to meet specific requirements and effectively applies modern design methods in this process. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Uses information technologies to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in automotive engineering applications. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Designs and conducts experiments, collects data, analyzes, and interprets the results to examine complex engineering problems or discipline-specific research topics in the field of automotive engineering. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Effectively takes responsibility individually and as a team member in intradisciplinary (automotive engineering) and multidisciplinary teams. | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge of the legislation related to automotive engineering and awareness of professional ethical responsibility. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning and constantly improving and renewing itself in the field of automotive engineering. | |
| PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Gains the ability to communicate verbally and in writing in Turkish/English regarding the field of automotive engineering, write reports, prepare design and production reports, make effective presentations and use communication technologies. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Using project design and management knowledge, he/she attempts to develop and realize new ideas regarding automotive engineering applications. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Have awareness of the effects of Automotive Engineering applications on health, environment and safety at universal and social dimensions, and the legal consequences of the problems and solutions of the age reflected in the field of automotive engineering. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Topics | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Set Theory | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım |
| 3 | Basic concepts | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Statistical data, data collection, table and graphic support | Relevant subject should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Measures of Central Tendency | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım |
| 6 | Measures of Central Dispersion | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Probability and Probability Distributions | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | The relevant topic should be read from lecture notes and reference sources. | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Discrete probability distributions | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Hypothesis testing I | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Hypothesis testing II | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım |
| 12 | Regression and correlation analysis | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Variation Analysis | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | General review and applications I | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | General review and applications II | The relevant topic should be read from lecture notes and reference sources. | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | The relevant topic should be read from lecture notes and reference sources. | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | The relevant topic should be read from lecture notes and reference sources. | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||