ENM243 Probability And Statistics I

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

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM243
Name Probability And Statistics I
Term 2021-2022 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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RIZVAN EROL
Course Instructor Prof. Dr. RIZVAN EROL (Güz) (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

Resources

Notes



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 - Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. 4
PLO02 - An ability to identify, formulate, and solve complex industrial engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 - An 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 - Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. 4
PLO05 - Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. 5
PLO06 - Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. 3
PLO07 - Ability to communicate effectively in Turkish presentation and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. 3
PLO08 - Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. 3
PLO09 - To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. 3
PLO10 - Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. 4
PLO11 - Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. 3
PLO12 - Ability to make use of the power of effective communication in professional life, to interpret the developments correctly and to make decisions. 3
PLO13 - Ability to design, develop, implement and improve integrated systems including machinery, time, information and money. 3
PLO14 - Ability to design, develop, implement and improve complex product, process, business, system design by applying modern design methods under realistic conditions and constraints such as cost, environment, sustainability, productivity, ethics, health, safety and political issues. 4


Week Plan

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


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 06.05.2025 11:27