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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 | Sufficient knowledge of mathematics, science and subjects specific to the automotive engineering discipline; the ability to use theoretical and applied knowledge in these areas to solve complex engineering problems. | 5 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Ability to identify, formulate and solve complex engineering problems in the field of Automotive Engineering; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | In Automotive Engineering, the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Ability to select and use modern techniques and tools required for the analysis and solution of complex problems encountered in Automotive Engineering applications; ability to use information technologies effectively. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics in the field of Automotive Engineering. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to work effectively in intra-disciplinary (Automotive Engineering) and multi-disciplinary teams; ability to work individually. | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports in the field of Automotive Engineering and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Awareness of the necessity of lifelong learning; ability to access information in the field of Automotive Engineering, to follow developments in science and technology and to constantly renew oneself. | |
| PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Acting in accordance with ethical principles, professional and ethical responsibility in the field of Automotive Engineering, and knowledge of the standards used in engineering practice. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Knowledge about business life practices such as project management, risk management and change management in the field of Automotive Engineering; awareness about entrepreneurship and innovation; knowledge about sustainable development. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Knowledge about the universal and societal effects of automotive engineering applications on health, environment and safety and the contemporary problems reflected in the automotive engineering field; awareness of the legal consequences of automotive engineering solutions. |
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 | ||