GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS/İST -201
Course Title: STATISTICS
Credits 3 ECTS 3
Semester 5 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Fırat KAFKAS
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  fkafkas@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Solve many types of decision making problems of industry, make sta s cal inferences, and carry out hypothesis testings
Develop simple and multiple-parameter linear models that can be utilized for prediction and forecasting in industrial planning and management
Reinforce their problem solving skills and their analytical thinking ability
Become familiar with a suitable statistical package through computer-based statistical analysis
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  İntroductio to statistics
2. Week  Descriptive Statistic
3. Week  Elements of Probability
4. Week  Random Variables and Expectation
5. Week  Special Random Variables
6. Week  Distributions of Sampling Statistics
7. Week  Parameter Estimation
8. Week  Midterm Exam
9. Week  Hypothesis Testing
10. Week  Regression
11. Week  Analysis of Variance
12. Week  Goodness of Fit Tests and Categorical Data Analysis
13. Week  Nonparametric Hypothesis Test
14. Week  charting and chart interpretation
15. Week  Statistical decision-making techniques in engineering
16. Week  Design of Experiments
 -- RECOMMENDED OR REQUIRED READING
  1. Walpole, R.E., Myers, R.H., Myers, S.L., Ye, K. (2013). Probability & Statistics for Engineers & Scien9sts, Pren9ce Hall. 2. Duxbury Barnes, J.W. (1994). Sta9s9cal Analysis for Engineers and Scientists: A Computer-Based Approach. McGraw Hill. 3. Vardeman, Stephen B. (1994). Statistics for Engineering Problem Solving. PWS Publishing Company
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
4
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
16
2
32
 Practising Hours of Course Per Week
16
1
16
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
4
2
8
 Preparing Reports
4
2
8
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
3
2
6
 Final and Studying for Final
3
2
6
 Other
0
 TOTAL WORKLOAD: 
76
 TOTAL WORKLOAD / 25: 
3.04
 ECTS: 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1The ability of choosing and design manufacturing systems by using contemprary methods, tools and TechnologiesX
2To be able to conduct both qualitative and quantitative scientific research methods and techniques in their major areaX
3The ability of using modern engineering methods such as computer software and contemporary methods to acquire knowledge in engineering design and analysisX
4The ability of leadership and working with multi-disciplinary projectsX
5The ability to design and conduct experiments as well as to analyze and interpret data of experimentsX
6The ability to select, develop and/or design a system, component, or process to meet desired performance, manufacturing capabilities and economic requirementsX
7Understanding of professional and ethical responsibilityX
8The communication skill of oral and written Turkish and EnglishX
9The ability of identifying, presenting, formulating, and solving manufacturing engineering problemsX
10The ability of design, execution, to analyze and evaluate of manufacturing systemsX
11The ability to apply the basic and the principles of engineering sciences for solving manufacturing problemsX
12The ability to understand and comment on the impact of manufacturing engineering solutions in a national and global contextX