Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
VACUUM TECHNOLOGIES 200100715061 3 + 0 3.0 7.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Ümit KAYA
Assistants
Goals Statistical distributions used in data analysis, error, statistical precision value, signal and background calculations, Monte Carlo event productions are aimed to be applied to basic particle collisions and decays.
Course Content Basic concepts, gas dynamics, high vacuum technologies, analitic and numeric tools for vacuum systems, vacuum chamber design, vacuum gauges, gas emissions, leak detection, pump types, surface properties and cleaning for vacuum
Learning Outcomes 1) You realize that you are building the infrastructure for accelerators.
2) Be aware of the operation in accelerator equipment.
3) Accelerators in different areas of technology apply diagnostic-analysis purposes.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction Lecture
Opinion Pool
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Gas dynamics and it's applications at vacuum Lecture; Question Answer

Brain Based Learning 		Presentation (Including Preparation Time)
3. Week High and extreme vacuum technology development for physics researches Question Answer; Problem Solving

Project Based Learning; Brain Based Learning 		Project (Including Preparation and presentation Time)
4. Week Analytic and numeric tools for vacuum systems, Lecture; Question Answer

Brain Based Learning 		Presentation (Including Preparation Time)
5. Week Vacuum chamber design Question Answer
Colloquium
 Presentation (Including Preparation Time)
6. Week Mechanic vacuum pumps, ion pumps Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Gauges for high and mid vacuum, the highest vacuum gauge, differential pressure gauges Problem Solving

Project Based Learning 		Homework
8. Week Midterm Problem Solving
Brainstorming
Project Based Learning 		Homework
9. Week Nonthermal gas emission, Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Tools for high vacuum technologies Lecture; Question Answer
Brainstorming
Project Based Learning 		Presentation (Including Preparation Time)
11. Week Leak detection, Lecture; Problem Solving
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Cyropumps Lecture
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Getter pumps Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
14. Week Surface properties and cleaning for vacuum Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
A. Roth, Vacuum Technology, ISBN 0 444 88010 0 (Elsevier)
Karl Jousten, Handbook of Vacuum Technology, ISBN: 978-3-527-40723-1
Springer-Verlag Berlin Heidelberg 2015 , H.H. Gatzen et al., Micro and Nano Fabrication, DOI 10.1007/978-3-662-44395-8_2 , Chapter 2, Vacuum Technology

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000
PY55000
PY84444
PY95555
PY102222
PY113333
PY122222
PY132222
PY142222
PY151111
PY173333
PY184444

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 5
Homework 3 5
Presentation (Including Preparation Time) 1 20
Report (Including Preparation and presentation Time) 1 30
Final Exam 1 5
Time to prepare for Final Exam 1 30
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload