The course will provide lectures to introduce the basic knowledge of metal cutting process, NC technology and its applications in manufacturing devices (e.g. NC machine tools), the basic knowledge of NC programs based on ISO 6983 standard, the methodology of process planning, and their implementations in computeraided manufacturing environment.
The tutorials will be provided to practice process planning and NC programming with a Computer Aided Manufacturing (CAM) program for a given part which is expressed by 3D model with PMI. Results and findings will be reported and reflected upon in a technical report following a given template which is an analogous file for shop floor communication purpose.
After completed course the student should be able to: • describe the basics of metal cutting process, • describe the working principles of numerical control (NC) machine tools, • program NC codes based on the ISO 6983 standard, • analyze part 3D models with Product and Manufacturing Information (PMI) and interpret its implication for machining by applying the knowledge of process planning, • create a process plan for a given part using a CAM program, • document the process planning results as shop floor communication files.
Course code, application code, location, pace and language MT131G, HS-21742, flexibel distance, 25%, teaching in English.
Application, eligibility and admission If you work in industry, but lack academic qualifications, you can apply to be assessed on so-called real competence. Read more on this page his.se/ansokindustrikurser
More information about the course and a link to the application can be found at the University of Skövde's course page.
In this course, you will gain insight in components and technologies included in the Industrial Internet of Things (IIoT).
Designed specifically for manufacturing sector professionals, the course provides knowledge about the infrastructure, the technologies and requirements needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system which is one of the main building blocks towards digitalization and smart factories.
It includes project work, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry.
Do you want to be efficient, effective and minimize waste by learning and implementing lean production tools? This course provides insight into the demands and challenges posed by competitive production in industrial production systems and develops your ability to participate in and to drive improvement work.
The course focuses on efficient lean production. Through theory and project work, you will learn useful techniques, methods and strategies. You will obtain the necessary knowledge and training to carry out value stream mapping and other forms of improvement work.
The course offers current and competitive knowledge through its close links with our successful research and partner companies. It provides basic knowledge and understanding of the modern view of lean production in industrial activity.
Participants in this master course will develop skills in discrete event simulation to meet the needs of today's manufacturing industry.
Through use of discrete event simulation you will learn to support improvements of industrial processes involving complex changes. The course focuses on how to build, analyse and communicate the results of a simulation study. You will acquire knowledge through theoretical understanding, practical exercises and workshops. Based on a real case, the course will guide you to be able to improve production and logistics flow with discrete event simulation.
Today, the explosion of data has created new opportunities to apply machine learning (ML). Handling of the large amounts of data created by the very rapid digitization would not be possible without Machine Learning (ML). The purpose of the course "Introduction to Machine Learning" is to give you the foundation for ML. You will get an introduction to the basic areas of ML: data, statistics and probability for ML.
The manufacturing industry collects increasingly large volumes of big data, that is, data at high speed, generated from a wide range of sources in different formats and quality levels. But what is data without insight? This course will help you master the fundamental concepts of big data, cloud computing and smart decision-making for industrial analytics.
Designed specifically for manufacturing sector professionals, this Master’s course provides knowledge and insights in handling and processing data, using machine learning and data analytics in the cloud environment. You will learn machine learning-based solutions for industrial applications, such as smart decision-making and predictive maintenance, using state of the art cloud platform tools.
Modern web applications can often be described in terms of cooperation and sharing, both on the level of the users of the application and on the level of the application and the service providers. This course covers the most prevalent security challenges of web applications, from a theoretical and practical perspective.