# Atilim university faculty of engineering department of industrial engineering course description and practice

 Название Atilim university faculty of engineering department of industrial engineering course description and practice Дата 07.10.2012 Размер 78 Kb. Тип Документы
 ATILIM UNIVERSITYFACULTY OF ENGINEERINGDEPARTMENT OF INDUSTRIAL ENGINEERINGCOURSE DESCRIPTION AND PRACTICE

 Course Name Code Term L+P Hour Credits ECTS Probability and Statistics IE 220 3-4 3+0 3 5

 Pre-requisite Courses -

 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 computer-based 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 PRE-STUDY PAGES Week Topics Pre-study Pages 1 Role of probability and statistics in engineering [1] pages 1-10 2 Descriptive Statistics-Numerical Summary [1] pages 11-20 3 Descriptive Statistics-Graphical Summary [1] pages 21-28 4-5 Probability [1] pages 31-72 6 Random Variables [1] page 77-87 6 Midterm 1 7 Discrete Probability Distributions [1] pages 143-164 8 Continuous Probability Distributions [1] pages 171-184 9 Sampling Distributions [1] pages 229-244 10 Point and Interval Estimation [1] pages 269-283 11 Hypothesis Testing [1] pages 321-342 11 Midterm2 12 Inference for two samples [1] pages 288-294 13 Simple Linear Regression [1] pages 389-437 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, 8th edition, 2007. Other sources [2] Montgomery, D.C., and Runger, G.C., Applied Statistics and Probability for Engineers, John Wiley and Sons, Inc., 4th 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, 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 IN-TERM STUDIES QUANTITY PERCENTAGE Mid-terms 2 40 Assignments 4 20 Lab exam 1 10 CONTRIBUTION OF IN-TERM 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 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 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) TotalWorkload Course Duration (Including the exam week: 14x Total course hours) 14 3 42 Hours for off-the-classroom study (Pre-study, practice) 14 4 56 Assignments 6 6 36 Mid-terms 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

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