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Course Description Course Name : Qualitative Methods for Engineering and Technology Management Course Code : MTY-560 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Instructor MELİK KOYUNCU Learning Outcomes of the Course : Designs the qualitative research Has the knowledge about the collecting the qualitative data Analyses the qualitative data Analyses the reliability and validity of the qualitative data Reports the qualitative data Has the knowledge about Delphi technique and System dynamics approach Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Giving the knowledge about the qualitative research techniques Course Contents : The design of qualitative research, Types of qualitative research, Qualitative case study research, Designing study and selecting sample, Collecting qualitative data, Mining data from documents, Analyzing the qualitative data, Reliability of the qualitative data, The validity of the qualitative data, Reporting the qualitative data, Evaluation of qualitative studies in companies, Delphi technique, System dynamic approach Language of Instruction : Turkish Work Place : Class room   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 The design of qualitative research Reading the related cahpter from text book Teaching by Power point presentation 2 Types of qualitative research Reading the related cahpter from text book Teaching by Power point presentation 3 Qualitative case study research Reading the related cahpter from text book Teaching by Power point presentation 4 Designing study and selecting sample Reading the related cahpter from text book Teaching by Power point presentation 5 Collecting qualitative data Reading the related cahpter from text book Teaching by Power point presentation 6 Mining data from documents Reading the related cahpter from text book Teaching by Power point presentation 7 Midterm exam Classic exam 8 Analyzing the qualitative data Reading the related cahpter from text book Teaching by Power point presentation 9 Reliability of the qualitative data Reading the related cahpter from text book Teaching by Power point presentation 10 The validity of the qualitative data Reading the related cahpter from text book Teaching by Power point presentation 11 Reporting the qualitative data Reading the related cahpter from text book Teaching by Power point presentation 12 Evaluation of qualitative studies in companies Reading the related cahpter from text book Teaching by Power point presentation 13 Delphi technique Reading the related cahpter from text book Teaching by Power point presentation 14 System dynamic approach Reading the related cahpter from text book Teaching by Power point presentation 15 Presentation of projects Student´s preperation for project presentation Student´s presentation 16/17 Final exam Classical exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  P Eriksson, Anne Kovalainen, Qualitative Methods in Business Research (Introducing Qualitative Methods series), Sage Publications, 2008 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 90     Homeworks/Projects/Others 1 10 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. 3 2 Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. 3 3 Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge. 4 4 Designs engineering problems, develops techniques to solve them, using innovative ways. 4 5 Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. 5 6 Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions. 5 7 Describes, gathers and uses necessary information and data. 4 8 Has the ability of developing new and/or original ideas or techniques to come up with innovative solutions for designing systems, components or processes. 3 9 Presents research findings systematically and clearly in oral or written forms in national or international meetings. 4 10 Understands social and environmental implications of engineering practice. 2 11 Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. 5 12 Keeps up with the latest developments in the field. 4 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 15 3 45     Out of Class Study (Preliminary Work, Practice) 15 5 75 Assesment Related Works     Homeworks, Projects, Others 1 10 10     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 10 10 Total Workload: 143 Total Workload / 25 (h): 5.72 ECTS Credit: 6