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#40260 / #6

Seit WiSe 2022/23

English

Quality and Reliability in Semiconductor Engineering

6

Thewes, Roland

benotet

Mündliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Energie und Automatisierungstechnik

34311700 FG Sensorik und Aktuatorik / Messtechnik

No information

Kontakt


E 3

Kerst, Uwe

roland.thewes@tu-berlin.de

Learning Outcomes

The participants understand the different aspects and most fundamental Methods of Qualtity Management. The emphasis is on statistical methods common to semiconductor engineering and and manufacturing. Upon successful completion of the course the participant is able to access and process quality relevant topics and understand the most important quantitative and qualitative tools.

Content

The course "Qualität und Zuverlässigkeit in der Halbleitertechnik" covers the concept of quality in engineering using the example of semiconductor engeneering while also displaying its particularities. Following the historical development briefly helps to internalize the important ideas and concepts of Quality Management and the corresponding methods. Fundamentals of probability theory and statistics are introduced and applied to quality management related problems including reliability. Problems enhance and complement the understanding of the backgrond knowledge given in the lecture.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Qualität und Zuverlässigkeit in der HalbleitertechnikVLSoSeEnglish2
Qualität und Zuverlässigkeit in der HalbleitertechnikUESoSeEnglish2

Workload and Credit Points

Qualität und Zuverlässigkeit in der Halbleitertechnik (VL):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.02.0h30.0h
Vor-/Nachbereitung15.04.0h60.0h
90.0h(~3 LP)

Qualität und Zuverlässigkeit in der Halbleitertechnik (UE):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.02.0h30.0h
Vor-/Nachbereitung15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The module is composed of a lecture and an exercise class. At the end of the exercise class students present a chosen topic from quality management.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Interest in quality topics, statistics and mangagement related matter

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

40 min

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

By appointment and whatever electronic registration available

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
More information is in the corresponing moodle class

 

Literature

Recommended literature
Douglas C. Montgomery. Statistical Quality Control. John Wiley & Sons, New York, 2005
Farid N. Najm E. Ajith Amerasekara. Failure Mechanisms in Semiconductor Devices. John Wiley & Sons, New York, 1997
H.-J. Mittag. Qualitätsregelkarten. Carl Hanser Verlag, München, 1993
Thilo Pfeifer. „Qualitätsmanagement“ Strategien, Methoden, Techniken. Carl Hanser Verlag, München, 2001

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)18WiSe 2022/23SoSe 2024
Elektrotechnik (M. Sc.)18WiSe 2022/23SoSe 2024
Medientechnik (M. Sc.)14WiSe 2023/24SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

This module cannot be elected if the lecture has been credited in the module "Selected applications and Methods in Semiconductor Engineering".