# Probability and Statistics (IE220) Ders Detayları

Course Name Corse Code Dönemi Lecture Hours Uygulama Saati Lab Hours Credit ECTS
Probability and Statistics IE220 6. Semester 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language İngilizce Service Courses Taken From Other Departments Lisans Face To Face Lecture, Question and Answer, Problem Solving. Instructor Dr. Burcu DEVRİM İÇTENBAŞ In this course, the students will be learning fundamental concepts of the probability and statistics so that they can solve practical problems of engineering which requires statistical techniques. The students who succeeded in this course; Students will acquire and apply fundamental concepts of probability theory to engineering problems. Students will develop an insight about the role of statistics for different engineering disciplines. Students will be able to evaluate and solve real life processes and problems using statistical applications. Students will be able to use a suitable computer-based statistical package for statistical analysis. Introduction to probability and statistics; random variables and probability distributions; expected value; sampling distributions; one and two sample estimation problems; test of hypotheses; simple linear regression.

### Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 The role of probability and statistics in engineering [1] pages 1-15
2 Descriptive Statistics-Numerical Summary [1] pages 191-214
3 Descriptive Statistics-Graphical Summary [1] pages 191-214
4 Probability [1] pages 17-57
5 Probability [1] pages 17-57
6 Random Variables [1] pages 67-74 [1] pages 108-114
7 Midterm 1
8 Discrete Probability Distributions [1] pages 79-97
9 Continuous Probability Distributions [1] pages 116-127
10 Sampling Distributions [1] pages 223-231
11 Point and Interval Estimation [1] pages 253-263
12 Point and Interval Estimation [1] pages 253-263
13 Hypothesis Testing [1] pages 283-314
14 Midterm 2
15 Inference for two samples [1] pages 351-368
16 Simple Linear Regression [1] pages 401-440

### Sources

Course Book 1. Montgomery, D.C., and Runger, G.C., Applied Statistics and Probability for Engineers, John Wiley and Sons, Inc., 4th Edition, June 2006. 2. Walpole, R.E. , Myers, R.H., Myers, S.L. an Ye, K., Probability and Statistics for Engineers and Scientists, Prentice Hall, 8th edition, 2007. 3. Milton, J.S. and Arnold, J.C., Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, McGraw-Hill, 4th edition, 2002. 4. Ross, S., Introduction to Probability and Statistics for Engineers and Scientists, Academic Press, 3rd edition, 2004. 5. Triola, M.F., Essentials of Statistics, Addison Wesley,2nd edition, 2004.

### Evaluation System

Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 7 100
 Percentage of Semester Work 60 40 100

### Course Category

Core Courses X

### The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyze and interpret data.
3 An ability to design a system, component, or process to meet desired needs.
4 An ability to function on multi-disciplinary teams.
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 The broad education necessary to understand the impact of engineering solutions in a global and societal context.
9 Recognition of the need for, and an ability to engage in life-long learning.
10 Knowledge of contemporary issues.
11 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
12 Skills in project management and recognition of international standards and methodologies

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 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 5 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 3 6
Prepration of Final Exams/Final Jury 1 3 3