Information Package

Master's of Engineering and Technology Management with Thesis

MT519

WORK STUDY

Course Code
MT519
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain an ability to apply knowledge of mathematics, science, and engineering
  2. Gain an ability to design and conduct experiments, as well as to analyze and interpret data
  3. Gain an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
  4. Gain an ability to function on multidisciplinary teams
  5. Gain an ability to identify, formulate, and solve engineering problems
  6. Gain an ability to communicate effectively
  7. Gain an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionDescription of Time & Motion Study and Historical development.Motion Study.Search and Problem Solving Techniques. Flow Analysis.Time Study.Main Time, dispersion and rest times.Calculation of standard times.Job sampling and advantages. Means time measurement.Single and group working.Performance evaluation and management system. Work analysis.Job evaluation system.Payment systems and wages.
Course Contents
WEEK TOPICS
1st Week Description of Time & Motion Study and Historical development
2nd Week Motion Study
3rd Week Search and Problem Solving Techniques
4th Week Flow Analysis
5th Week Time Study
6th Week Main Time, dispersion and rest times
7th Week Calculation of standard times
8th Week MIDTERM
9th Week Job sampling and advantages
10th Week Means time measurement
11th Week Single and group working
12th Week Performance evaluation and management system
13th Week Work analysis.Job evaluation system
14th Week Payment systems and wages
Recommended or Required Reading1) Kurt, M, Dağdeviren, M, (2003) İş Etüdü, Gazi Kitapevi Yayınları;
(2) Niebel, B, Freivalds, A, (2003) Methods, Standards and Work Design, McGraw-Hill;
(3) Meyers, F.E, Stewart, J.R, (2002) Motion and Time Study for Lean Manufacturing, Prentice Hall
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Case Study
  • Problem Solving
  • Project
  • Report Preparation
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 20
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 14 196
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 14 14
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6 LO7
K1 X X X X
K2 X X X X
K3 X
K4 X
K5 X
K6 X
K7 X
K8
K9
K10
K11