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




НазваниеAtilim university faculty of engineering department of industrial engineering course description and practice
Дата07.10.2012
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ТипДокументы

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

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)

Total
Workload

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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