ENM243 Probability And Statistics I

4 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Code ENM243
Name Probability And Statistics I
Term 2024-2025 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RIZVAN EROL
Course Instructor Prof. Dr. RIZVAN EROL (A Group) (Ins. in Charge)


Course Goal / Objective

Learn the basic concepts of permutation, combination, probability and random variables and their properties. Learn to design and analyze the data

Course Content

Permutation, combination, probability, sampling, measures of central tendency ,random variables

Course Precondition

None

Resources

MONTGOMERY, D. C. & RUNGER, G. C., 2018, Applied Statistics and Probability for Engineers (7th edition), John Wiley& Sons, Inc.

Notes

STEPHENS, L. J. SPİEGEL, M. J., 2013, İstatistik/Statistics - Schaum's Serisi, Çelebioğlu, S.(çeviri editörü)


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Solve the problems of permutation and combination
LO02 Use the probability of an event, probability axioms, and some of the rules of probability
LO03 Apply conditional probability, independent events, Bayes theorem
LO04 Organize and analyze data
LO05 Understand measures of central tendency and dispersion measures
LO06 Know the concept of a random variable, the distribution of a random variable
LO07 Describe the expected value of a random variable, the variance and their properties


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems.
PLO02 Bilgi - Kuramsal, Olgusal Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods.
PLO03 Bilgi - Kuramsal, Olgusal Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. 3
PLO04 Bilgi - Kuramsal, Olgusal Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. 5
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually.
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. 2


Week Plan

Week Topic Preparation Methods
1 Sample spaces and events Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Permutation Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 Combination Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
4 Ordered and unordered disruptions, Binomial expansion Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
5 Probability of an event, Probability axioms, Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
6 Conditional Probability Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
7 Independent events, Bayes theorem Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
8 Mid-Term Exam Source reading Ölçme Yöntemleri:
Yazılı Sınav
9 Methods of sample selection Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
10 Data Organization, Frequency Distribution, Graphical Representations Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
11 Measures of Central Tendency, Measures of Dispersion Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
12 Measure of skewness and kurtosis, Coefficient of variation Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
13 Distribution of Discrete Random Variable Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
14 Distribution of Continous Random Variable Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
15 Expected Value, Variance and their properites Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
16 Term Exams Source reading Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Source reading 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

Update Time: 13.05.2024 02:09