ATILIM UNIVERSITY FACULTY OF ENGINEERING DEPARTMENT OF INDUSTRIAL ENGINEERING COURSE DESCRIPTION AND PRACTICE 
Course Name  Code  Term  L+P Hour  Credits  ECTS  Probability and Statistics  IE 220  34  3+0  3  5 
Language of the Course  English  Course Type  Compulsory  Course Coordinator  Inst. Burcu DEVRİM İÇTENBAŞ  Instructors  Asst. Prof. Dr. Cenk GÜRAY, Inst. Burcu DEVRİM İÇTENBAŞ  Assistants    Course Objective  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.  Learning Outcomes of the Course  1. Students will acquire and apply fundamental concepts of probability theory to engineering problems.  2. Students will develop an insight about the role of statistics for different engineering disciplines.
 3. Students will be able to evaluate and solve real life processes and problems using statistical applications.
 4. Students will be able to use a suitable computerbased statistical package for statistical analysis.
 Content of the Course 
Role of probability and statistics in engineering, Introduction to probability. Probability laws. Discrete distributions. Continuous distributions. Descriptive statistics. Estimation. Inferences on the mean Comparing two samples. Simple linear regression and correlation.

WEEKLY SCHEDULE AND PRESTUDY PAGES  Week  Topics  Prestudy Pages  1  Role of probability and statistics in engineering  [1] pages 110  2  Descriptive StatisticsNumerical Summary  [1] pages 1120  3  Descriptive StatisticsGraphical Summary  [1] pages 2128  45  Probability  [1] pages 3172  6  Random Variables  [1] page 7787  6  Midterm 1 
 7  Discrete Probability Distributions
 [1] pages 143164  8  Continuous Probability Distributions  [1] pages 171184  9  Sampling Distributions  [1] pages 229244  10  Point and Interval Estimation  [1] pages 269283  11  Hypothesis Testing  [1] pages 321342  11  Midterm2 
 12  Inference for two samples  [1] pages 288294  13  Simple Linear Regression  [1] pages 389437  14  Lab exam 

SOURCES  Course Book  [1] Walpole, R.E. , Myers, R.H., Myers, S.L. an Ye, K., Probability and Statistics for Engineers and Scientists, Prentice Hall, 8^{th} edition, 2007.  Other sources  [2] Montgomery, D.C., and Runger, G.C., Applied Statistics and Probability for Engineers, John Wiley and Sons, Inc., 4^{th } Edition, June 2006. [3] Milton, J.S. and Arnold, J.C., Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, McGrawHill, 4^{th} edition, 2002. [4]Ross, S., Introduction to Probability and Statistics for Engineers and Scientists, Academic Press, 3^{rd} edition, 2004. [5] Triola, M.F., Essentials of Statistics, Addison Wesley,2nd edition, 2004. 
EVALUATION SYSTEM  INTERM STUDIES  QUANTITY  PERCENTAGE  Midterms  2  40  Assignments  4  20  Lab exam  1  10  CONTRIBUTION OF INTERM STUDIES TO OVERALL GRADE 
 70  CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE 
 30  TOTAL 
 100 
Course Category  Mathematics and Basic Science  35%  Engineering  30%  Expertise/Skill Courses  5%  Engineering Design  30% 
 
CORRELATION BETWEEN COURSE LEARNING OUTCOMES AND PROGRAM COMPETENCIES  No  Program Competencies  Percentage  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 multidisciplinary 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 lifelong learning. 




 10  A 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 





TABLE OF ECTS / WORKLOAD  Activities  QUANTITY  Duration (Hour)  Total Workload  Course Duration (Including the exam week: 14x Total course hours)  14  3  42  Hours for offtheclassroom study (Prestudy, practice)  14  4  56  Assignments  6  6  36  Midterms  2  3  6  Lab exam  1  2  2  Final examination  1  3  3  Total Work Load 

 145  Total Work Load / 30 

 4,83  ECTS Credit of the Course 

 5  