Probability and Statistics I (IE201) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Probability and Statistics I	IE201		3	0	0	3	7

Pre-requisite Course(s)
N/A

Course Language	English
Course Type	N/A
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)	Prof. Dr. Serkan Eryılmaz
Course Assistants
Course Objectives	The course aims to expose students to basic concepts of probability and statistics and to use basic modeling and statistical decision techniques in Industrial Engineering applications.
Course Learning Outcomes	The students who succeeded in this course; Students will have a working knowledge of probability theory. Students will acquire the basic concepts of probability theory and apply them to engineering problems. Students will understand the relationship between random variables and their distribution functions. Students will improve their problem solving skills and their analytical thinking ability.
Course Content	The role of statistics in engineering, probability, random variables, expected value and variance of a random variable, discrete and continuous probability distributions, joint probability distributions

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	The role of probability, statistics and data analysis in engineering
2	Sample space, Probability of an event
3	Axioms of probability, Conditional probability
4	Independence, Bayes’ Rule
5	Random variables and probability distributions
6	Joint probability distributions
7	Mathematical expectation, Variance
8	Midterm
9	Covariance and correlation
10	Some discrete probability distributions
11	Some continuous probability distributions
12	Functions of random variables
13	Sampling distributions
14	Sampling distributions (cont.)
15	Final Examination Period
16	Final Examination Period

Sources

Course Book	1. Walpole, R.E., Myers, R.H., Myers, S.L. and Ye, K., Probability and Statistics for Engineers and Scientists, Prentice Hall, 2007.
Other Sources	2. Montgomery, D.C., and Runger, G.C., Applied Statistics and Probability for Engineers, 5th Edition, John Wiley and Sons, 2011.

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	2	20
Homework Assignments	-	-
Presentation	-	-
Project	-	-
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	1	30
Final Exam/Final Jury	1	50
Toplam	4	100

Percentage of Semester Work	50
Percentage of Final Work	50
Total	100

Course Category

Core Courses
Major Area Courses	X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.				X
2	An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods.				X
3	An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4	An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively.
5	An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6	An ability to work individually, on teams, and/or on multidisciplinary teams.
7	Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8	A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9	An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10	Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11	Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12	An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy.
13	Knowlede on appropriate analytical, computational and experimental methods to provide system integration.

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	3	48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class	14	3	42
Presentation/Seminar Prepration
Project
Report
Homework Assignments	7	5	35
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	1	25	25
Prepration of Final Exams/Final Jury	1	25	25
Total Workload			175