KUM664 - EXPERIMENT and LABORATORY KNOWLEDGE

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
EXPERIMENT and LABORATORY KNOWLEDGE KUM664 Any Semester/Year 1 4 3 7
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Observation
Field Trip
Team/Group Work
Role Play
Preparing and/or Presenting Reports
Demonstration
Experiment
Drill and Practice
Case Study
Problem Solving
Brain Storming
Project Design/Management
Other: individual study  
Instructor (s)To be determined by TSE and the department 
Course objectiveThe objective of this course is to develop students? skills to make comparison tests as a part of the quality assurance for the laboratory activities and to interpret the results and to solve the common and general problems in the laboratories  
Learning outcomes
  1. Determine the quality assurance of the results of testing and calibration
  2. Determine the security and privacy rules of a laboratory
  3. Determine devices, apparatus and consumables to be used in an experiment
  4. Prepare the samples and perform tests
  5. Use the raw data forms and computer software to be used in the evaluation of test results
  6. Define sources of uncertainty for a measurement method make the necessary calculations
  7. Inform about the quality of the test results and compare the test results
  8. ? Describe TS EN ISO / IEC 17025 standard and accreditation ? Explain the proficiency tests organized by TSE and its labs
Course Content? General information about TS EN ISO/IEC 17025 and accreditation
? Security and privacy rules of laboratories
? Definition of measurement uncertainty and sources of uncertainty
? Preparing the samples and performing the tests and evaluation of the results
? Availability of the quality of test results
? Proficiency tests organized by TSE and its labs and statistical methods
? Common and general problems in the laboratory and solutions
 
References? TS EN ISO/IEC 17025 Standards
? Training notes of TSE
 

Course outline weekly

WeeksTopics
Week 1Introduction and general information about TSE and its labs - security and privacy rules
Week 2TS EN ISO/IEC 17025 ? general introduction
Week 3TS EN ISO / IEC 17025 standard 5.Technical Requirements
Week 4TS EN ISO / IEC 17025 standard 5.4 Test and calibration methods and validation of methods
Week 5Definition of measurement uncertainty and sources of uncertainty for a measurement method
Week 6Case study about measurement uncertainty
Week 7Proficiency tests organized by TSE and its labs and statistical methods
Week 8Midterm Exam
Week 9Preparing the samples and performing the tests and evaluation of the results ? case study
Week 10Quality assurance of the test results
Week 11Practical study about the quality assurance of the test results
Week 12Preparing the samples and performing the tests and evaluation of the results ? report the results
Week 13Common and general problems and solutions for the laboratory
Week 14Case study about common and general problems and solutions for the laboratory
Week 15Study for the final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance148
Laboratory00
Application22
Field activities00
Specific practical training00
Assignments14
Presentation00
Project16
Seminar00
Midterms125
Final exam155
Total100
Percentage of semester activities contributing grade succes145
Percentage of final exam contributing grade succes155
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 1 14
Laboratory 0 0 0
Application14456
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)13452
Presentation / Seminar Preparation000
Project11616
Homework assignment11212
Midterms (Study duration)12020
Final Exam (Study duration) 14040
Total Workload4597210

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Reach the necessary knowledge and methods within the scope of Quality and Conformity Assessment Engineering through scientific research; evaluate knowledge and methods; utilize and implement them during quality monitoring, conformity assessment and quality improvement processes with a system point of view.     X
2. Implement engineering tools and modeling techniques for the innovative design, development, analysis and improvement of quality that integrates man, machine, material and knowledge.    X 
3. Determine the national and international standards of products, processes and systems and prepare the necessary documentation.    X 
4. Develop measurement systems to assess the conformity of products and systems and implement them.    X
5. Develop and plan projects for quality improvement, conformity assessment and standard determination; monitor, control and evaluate projects in progress.    X 
6. Evaluate the data obtained from systems through the analysis with advanced methods; complete limited and missing data within the scope of quality and conformity engineering through scientific methods.     X
7. Report and present studies, projects, outcomes/results and evaluations on the design, development, analysis, planning, monitoring and improvement of quality systems.     X
8. Effectively utilize computer software, information systems, information and communication technology related with quality and conformity engineering.     X
9. Are aware of the professional responsibility, describe the technological, economic and environmental effects of the quality and conformity assessment engineering applications, work as an individual independently and as a team member having an understanding of the scientific and institutional ethical values, take responsibility and lead the team.     X
10. Are aware of the up-to-date quality and conformity assessment engineering applications, follow the necessary literature within the scope of quality and conformity assessment engineering; have the competency to reach knowledge in a foreign language, to quote and implement them     X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest