Curricula

Objectives

As an engineer you need to understand that quality and risk management are key business processes. Quality management is the responsibility of everyone in companies. Quality management follows across organizational boundaries, throughout the supply chain and should be managed on a larger scale. Measuring, analyzing, and continuously improving quality, affects customer satisfaction, business productivity, and, at the same time, profitability. Risk management in companies is a wider concept that includes the whole process of identifying the risks of different processes, from anticipation to risk minimization. By managing risk management, companies can proactively react or prepare for risks and thereby minimize inconvenience.

In this course you will learn
- understand the principles and techniques of quality management
- understand the quality concepts of companies
- identify terminology for quality and risk management
- identify and apply various quality and risk management tools
- identify different quality and risk management standards
- perform simple quality cost calculations and risk assessments

After completing this course, you will understand basic principles and techniques of quality management. You will be able to apply quality tools to measurements, analysis and improvement the financial performance of your company. You will learn how to deal with unstable environments and get tools to assess personal and other risks in different business processes. You will also learn to guide safe operations for both individuals and companies.

Competences: business knowledge, multidisciplinary competences.

Learning outcome:
You will understand the terminology of quality and risk management and their relevance to your future work area. You will be familiar with key concepts, tools and theories of quality and risk management.

Content

The course covers following main themes:
- Concept of Quality
- Quality tools & techniques
- Concept of Risk Management
- Risk Management tools & techniques
- Standards

Learning materials and recommended literature

E-learning environment material and the following course book:
Goetsch, David L.; Davis, Stanley B. Quality Management for Organizational Excellence, Introduction to Total Quality. Prentice Hall 2010

Supporting material(s):
Stamatis. Risk Management Using Failure Mode ans Effect Analysis (FMEA). ASQ 2019.
De Feo, Joseph A. Juran's quality handbook : the complete guide to performance excellence. 2017. 7th edition

Teaching methods

Full-time students study the course in weekly contact teaching, and multi-modal students and other online learners (e.g. open university) study online.

For specified student groups studying online, the course is implemented virtually, which includes self-study (independent learning tasks or group learning tasks).

Course assignments are described in the course workspace.

Progress in the course is monitored. At the 3rd week, if necessary, students who do not progress according to the given schedule will be removed from the course.

Exam dates and retake possibilities

The possible date and method of the exam will be announced in the course opening information.

Alternative completion methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

The calculated workload 27 hours per credit.
Five credit corresponds to the workload of approximately 135h.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

1: Student has gained knowledge at all the subjects described in the learning outcomes.

2: Student has gained knowledge at all the subjects described in the learning outcomes and is able to can utilize this knowledge.

Evaluation criteria, good (3-4)

3: Student understands all the subjects described in the learning outcomes and is able to apply the skills one has learned.

4: Student has attained an excellent level in almost all the subjects described in the learning outcomes and is able to apply the skills one has learned.

Evaluation criteria, excellent (5)

5: The student has attained an excellent level in all subjects described in the learning outcomes and is able to apply the skills one has learned.

Prerequisites

Previous engineering studies.