In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.
In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically.
This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation.
Statistics is vital in every field and in this course, you will learn the role it can play in the field of sustainable development. You will learn certain statistical tools, how to apply them, and ways of thinking about results that will aid you in your studies and future career.
The starting point for the course is Lean Production, with an understanding of principles and concepts that can lead to higher efficiency. Then we introduce computer-based application for modelling and simulation of production systems. This provides the opportunity to simulate a production system, perform experiments on it according to different conditions, and optimize the system to increase efficiency.
This course is for professionals who work with production systems at different levels with a responsibility for individual production lines, departments, or has a role as production manager or production development. The course will mainly focus on the manufacturing industry in application examples, but principles that will be addressed will be applicable to a number of industries, including consulting companies working towards the manufacturing industry.
The course contains the following:
Production systems and concepts such as Industry 4.0 and Smart Industry
Lean Production and workshop with the Lean game
Programming exercises with event-based simulation of production systems
Analysis and optimization of production systems
The majority of the course will take place on Campus (Växjö), and at a distance according to the schedule below. Some of the exercises are preferably attend on Campus, but we plan for it to be possible to follow the full course at a distance due to the Covid-situation.
This course introduces students to the fundamentals of experiment design and statistical inference models for data analysis. The courses provides a hands on experience in designing an experiment, collecting data and drawing conclusions.
Statistics in a science of decision making and conclusion drawing in the presence of variability. In rare cases, to be able to make a decision about a new product, or draw conclusions from an observed phenomena, we can collect observations from the entire population and as a result make a definitive conclusion about its attributes, but most often that is not the case. As a we often opt to performing an experiment, or making passive observation with only a-sub sample of the population that will help us extrapolate and make decision about the rest of the unobserved samples.
This course is given on-line with three mandatory Zoom-meetings.
This contract education initiative is aimed at working professionals with a higher education qualification of 180 credits earned at the first cycle (bachelor's level) which includes 15 credits of computer programming. In addition, English B/English 6 is required.
Information and course given in swedish.
Kursen syftar till att ge studenter möjlighet att utveckla kunskaper om såväl organisatoriska konkurrensfördelar som hur data kan användas för att identifiera ett företags specifika fördelar gentemot dess konkurrenter
I kursen problematiseras resursbaserat gentemot marknadsbaserat synsätt på konkurrensfördelar. Kursen utgår från ett företags kontext och hur intern (till exempel finansiell data) och extern data (till exempel kunddata) kan utgöra medel för att identifiera organisationens handlingsutrymme.
För mer detaljerad information: https://www.hb.se/utbildning/program-och-kurser/kurser/datadriven-analys-for-konkurrensfordelar/
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.