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  Course Description
Course Name : Advanced Productivity Analysis

Course Code : EM-543

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Asst.Prof.Dr. MEVHİBE OYA ÇETİK

Learning Outcomes of the Course : Learns the relation between productivity and performance
Learns basic productivity concepts and their applicaitons in industrial engineering
Learns the use of required input to analyze the productivity

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : This course aims to Introduce the concept of productivity and efficiency, and analyze their applicaitons in businesses

Course Contents : The basic concepts of efficiency, total and partial productivity ratios will be examined. Types of analysis used in applications will be searched and discussed in detail.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Basic concepts of productivity Reading related references Lecture
2 Basic concepts of productivity Reading related references Lecture
3 Basic concepts of productivity Reading related references Lecture
4 Productivity indicators Research Presentation
5 Productivity measurement techniques Reading related references Lecture, presentation
6 Productivity measurement techniques Reading related references Lecture, presentation
7 Productivity measurement techniques Research Lecture, presentation
8 Productivity measurement techniques Research Lecture, presentation
9 Productivity measurement techniques Research Presentation
10 Midterm Exam preparation Written Exam
11 Research of applicaitons in different sectors Research Presentation
12 Research of applicaitons in different sectors Research Presentation
13 Research of applicaitons in different sectors Research Presentation
14 Research of applicaitons in different sectors Research Presentation
15 Research of applicaitons in different sectors Research Presentation
16/17 Final Exam preparation Written Exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  An Introduction to Efficiency and Productivity Analysis, Coelli, T.,J., Rao, D.,S.P.Springer.
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 50
    Homeworks/Projects/Others 1 50
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 Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. 5
2 Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. 4
3 Work in multi-disciplinary teams and take a leading role and responsibility. 3
4 Identify, gather and use necessary information and data. 5
5 Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. 4
6 Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. 3
7 Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 5
8 Analyze Industrial Engineering problems, develop innovative methods to solve the problems. 4
9 Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. 3
10 Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. 3
11 Follow, study and learn new and developing applications of industrial engineering. 5
12 Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 5
13 Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. 5
14 Understand social and environmental implications of engineering practice. 4
15 Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. 5
* 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) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
    Homeworks, Projects, Others 1 15 15
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 15 15
Total Workload: 138
Total Workload / 25 (h): 5.52
ECTS Credit: 6