DESIGN FOR EXTENDED REALITIES

The course aims to provide students an opportunity to develop skill in experience design and design thinking. The Usability and User Experience course focuses on the design process, techniques and methods to design and produce digital artifacts with desirable experiential qualities.

Would you like to know what Industry 4.0 is about? Then this course is for you! In the course, we look at enabling technologies of Industry 4.0 from a human and industrial perspective. The course covers many topics and you will learn the basic terminology related to Industry 4.0 as well as insight and understanding of the Fourth Industrial Revolution and how it is set to affect industry and individuals.

Answer Set Programming (ASP) is a declarative programming paradigm designed within the field of Artificial Intelligence (AI), and used to solve complex search-problems. The declarative nature of ASP allows one to encode a problem by means of logic. In this way, unlike in imperative programming approaches, there is no need to design an algorithm as a solution for the given problem. In this sense, ASP is comparable with SAT-based encoding or constraint satisfaction problems. However, due to its stable-model semantics, ASP provides a richer representation language useful to handle uncertain situations more effectively for real world scenarios. The advantages of declarative programming together with non-monotonic nature of ASP in handling uncertainties have recently made ASP more attractive both for academia and industry. This course focuses on formalizing and solving various search problems in planning, scheduling and system configuration in ASP.

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence (AI) that studies how computers process human language. This course allows learners to obtain knowledge about NLP problems, applications, and recent methods for solving them. The aim of this course is to expertise in applying neural networks and deep learning methods to solve ongoing problems in NLP. 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.  This course is given on-line with three mandatory Zoom-meetings.

The course begins with an introduction to optimization-driven design and how it is used in industrial contexts, this is followed by solution methods for optimization problems in a variable. These introductory parts of the course deal with unlimited optimization and the focus is on creating a variety of solution methods for different types of optimization problems. Examples of solution methods that are treated are linear programming (LP), Newton's method, secant methods and the steepest descent method. In these latter methods, problems are considered in several variables, which also applies to the remaining parts of the course. For limited optimization problems, different methods for handling coercion are presented, for example Karush-Kuhn-Tucker (KKT), quadratic programming (QP), active quantities and multipliers. The course continues with convex optimization and variation differences with application in mechanical engineering and ends with structure, shape and topology optimization. After completed course the student should be able to:show familiarity with basic optimization algorithms and their use,display knowledge about how structural and design optimization can be used during the design process,demonstrate comprehension of how optimization driven design is used in the development of sustainable products,demonstrate the ability to use topology optimization in structural analyses,demonstrate the ability to perform sensitivity analyses,demonstrate the ability to perform a major optimization driven design project.  

Are you working with logistics in the manufacturing industry? Then this is a course for you! The course is specially designed for those who work with logistics in the manufacturing industry and it will give you an increased understanding of how to design smart logistics systems. You will get to analyse your company's logistics system and with the help of various Industry 4.0 technologies you will identify possible ways to improve the logistics system of your own company.