COURSE SCHEDULE (Weekly) WEEK TOPICS 1 Evolution and definition of six sigma 2 Structure of six sigmas 3 Six sigma and quality improvement 4 Probability, and some important discrete and continuous distributions 5 Statistics and basics 6 Midterm Examination 1 7 Measurement system analysis 8 Descriptive statistics 9 Inferential statistics 10 Regression analysis 11 Midterm Examination 2 12 Analysis of variance 13 Analysis of variance 14 Acceptance sampling plans 15,16 Final Examination CONTRIBUTION OF THE COURSE LEARNING OUTCOMES TO THE CONTRIBUTION INDUSTRIAL ENGINEERING MSc PROGRAM LEARNING OUTCOMES LEVEL 1 3 2 NO LEARNING OUTCOMES (MSc) Low High Mid Accessing deep and advanced knowledge through scientific researches LO 1 in the field of Industrial Engineering, ability to evaluate, interpret and implement the knowledge. Having comprehensive knowledge actual techniques and methods LO 2 in engineering as well as their constraints. Completion and implementation of uncertain, limited or missing data LO 3 through scientific methods in addition ability to use knowledge belongs to various disciplines. Awareness of new and developing Industrial Engineering practices, LO 4 ability to investigate and learn them as needed. Ability to define and formulate problems related to industrial LO 5 engineering and skills for developing methods to solve the problems and using innovative methods during solutions. Developing new and/or original methods and conceptions; ability to LO 6 design systems or processes and ability to develop innovative solutions in designs. Ability to work efficiently in disciplinary and multidisciplinary teams, skills for taking the lead in the teams and developing solution LO 7 approaches under complicate conditions; ability to work independently and take responsibility. LO 8 Ability to use a language for verbal and written communication. Ability to transmit results and processes of studies systematically and LO 9 definitively to national/international, verbal/written platforms are inside or outside the relevant field. To be informed of social, environmental, health, security and law LO 10 aspects of engineering practices besides project management and business life practices and awareness of constraints caused by them. Awareness of considering social, scientific and ethical principles during LO 11 data collection, interpretation, announcement stages besides all vocational activities. Prepared by : Nimetullah BURNAK, Ph. D., Prof. Date: 21, 2016 Signature:
COURSE SCHEDULE (Weekly) WEEK TOPICS 1 Evolution and definition of six sigma 2 Structure of six sigmas 3 Six sigma and quality improvement 4 Probability, and some important discrete and continuous distributions 5 Statistics and basics 6 Midterm Examination 1 7 Measurement system analysis 8 Descriptive statistics 9 Inferential statistics 10 Regression analysis 11 Midterm Examination 2 12 Analysis of variance 13 Analysis of variance 14 Acceptance sampling plans 15,16 Final Examination CONTRIBUTION OF THE COURSE LEARNING OUTCOMES TO THE INDUSTRIAL ENGINEERING MSc PROGRAM LEARNING OUTCOMES CONTRIBUTION LEVEL NO LEARNING OUTCOMES (MSc) 3 High 2 Mid 1 Low LO 1 Accessing deep and advanced knowledge through scientific researches in the field of Industrial Engineering, ability to evaluate, interpret and implement the knowledge. LO 2 Having comprehensive knowledge actual techniques and methods in engineering as well as their constraints. LO 3 Completion and implementation of uncertain, limited or missing data through scientific methods in addition ability to use knowledge belongs to various disciplines. LO 4 Awareness of new and developing Industrial Engineering practices, ability to investigate and learn them as needed. LO 5 Ability to define and formulate problems related to industrial engineering and skills for developing methods to solve the problems and using innovative methods during solutions. LO 6 Developing new and/or original methods and conceptions; ability to design systems or processes and ability to develop innovative solutions in designs. LO 7 Ability to work efficiently in disciplinary and multidisciplinary teams, skills for taking the lead in the teams and developing solution approaches under complicate conditions; ability to work independently and take responsibility. LO 8 Ability to use a language for verbal and written communication. LO 9 Ability to transmit results and processes of studies systematically and definitively to national/international, verbal/written platforms are inside or outside the relevant field. LO 10 To be informed of social, environmental, health, security and law aspects of engineering practices besides project management and business life practices and awareness of constraints caused by them. LO 11 Awareness of considering social, scientific and ethical principles during data collection, interpretation, announcement stages besides all vocational activities. Prepared by : Nimetullah BURNAK, Ph. D., Prof. Date: 21, 2016 Signature:
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