Data Science and Machine Learning are some of the hottest concepts in business contexts during the 2000s. Nowadays, companies as well as public enterprises have a great interest in the area. Data Science is a combined study of different subjects together, including databases, warehousing, data architectures, business analysis, data mining, big data and more! This course will introduce you to data mining and how it might enable businesses to drive better business results by analyzing their different data using predictive and prescriptive tools.
This course provides basic knowledge on the: Monitoring, diagnosis, and prevention of workplace health-related issues, Diagnosis and manage work habits that impact health, Remote Online Monitoring to Ensure Workplace Safety, and State of the art technologies in work health monitoring and estimation
Our society has been revolutionized by the use of computers and the exchange of information over the Internet. This revolution is taking place in industry as movements like Industry 4.0 and the Industrial Internet Consortium attest. Industries must integrate this technology to stay competitive. Since this is a new technology, it is usually purchased. The question that this course aims to answer is what requirements should be made when purchasing such solution.
The students learn how industrial IoT solutions work and have to develop a simple solution for their industry to grasp the implications of the requirements they make when purchasing a solution.
LEAN is a production philosophy and method for improvement work that aims to identify and remove all factors in a production process that does not create value for the end customer. Its goals can also be described as "more value for less work". In the course you will learn strategies, principles, and concrete methods for implementing LEAN production in your organization.
Metal working is about evaluating the behaviour of metals during forming, with regard to both material- and process dependent parameters, such as microstructural evolution, mechanical properties and modelling.
This course is designed to provide the participants, with the concepts, principles, and process knowledge of reliability engineering and management. It over views the elements of system performance assessment, describes the reliability theories and their applications for defining the optimal requirements and dimensioning of a robust product during design and development phase.
The tree's construction is optimally designed for the tree's needs, but not for us. Good knowledge of the raw material's properties is required to create profitability and avoid costly mistakes in the entire chain from forest raw material to sawn product.
The course explains why the manufacturing process looks like it does based on the properties of the raw material. Describes strategies and process steps to ensure the quality and properties of the sawn product. The course is a continuation of the course Tree construction and anatomy.