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      Courses on PhD level 2020

      The following courses are given in 2020 within the postgraduate education in information technology. Graduate students in other subjects are also welcome to attend after consultation with their supervisor. Please contact us at forskarutbildning@his.se for registration on one of the courses.

      Compulsory courses

      Spring 2020

      CANCELLED:
      Scientific methodology and communication in informatics, IT0918F (7.5 ECTS)
      Course responsibleJörgen Hansson 

      Autumn 2020

      Scientific theory in informatics, IT0919F (7.5 ECTS)
      Course responsibleJörgen Hansson 
      In this course, the PhD student will receive training in addressing scientific problems in informatics with well-founded arguments. Informatics is a broad field of science, which covers a number of subdisciplines. The course covers a wide range of key scientific theories within the subdisciplines that are included in the University's definition of information technology. The student also gets the opportunity to immerse himself in a certain theory based on his own interest. In addition, oral proficiency in English is trained by presenting and discussing relevant theories.

      Research ethics, IT0925F (5 ECTS)
      Course responsibleOskar MacGregor  
      What are we allowed to, ethically speaking, do as part of our research? What kind of research is directly prohibited and what type is controlled and limited in any way? We can have a general idea of the answers to these questions, but for postgraduate students there may still be many question marks. The course examines practical and theoretical ethical frameworks for research, to begin answering these questions, thus clarifying what a researcher's ethical rights and responsibilities actually are.

      Scientific workshop in informatics I, IT0927F (5 ECTS)
      Course responsibleMasood Fathi
      Within the course, current research questions and research findings are analyzed and discussed. The course also trains the PhD student to present research and to provide constructive feedback to other people's research work.

      Optional courses

      Spring 2020

      CANCELLED:
      Gender, technology, and culture, IT0937F (7.5 ECTS)
      Course responsibleLissa Holloway-Attaway

      Autumn 2020

      Industrial optimization and decision analysis, IT0917F (7.5 ECTS)
      Course responsibleSunith Bandaru
      The course will cover the following topics:
      • optimality theory for single and multi-objective optimization,
      • classical optimization methodologies for solving single-objective optimization problems,
      • key concepts of multi-objective optimization,
      • standard optimization models,
      • metaheuristic algorithms for solving multiobjective optimization problems,
      • visualization techniques and multi-criteria decision making methods,
      • industrial applications of multi-objective optimization and decision analysis,
      • advanced topics like interactive multi-objective optimization for incorporating user preferences.
      Assignments will evaluate the doctoral student's understanding of theoretical aspects of optimization and related algorithms, while laboratory exercises will test the ability to apply them. The seminar assignment includes studies of relevant literature and helps to promote critical analysis of competing methods. The PhD student will also carry out a project in an area related to his/her subject area/research. The project will be reported individually; oral and written presentation.

      Scientific workshop in informatics II, IT0928F (5 ECTS)
      Course responsibleMasood Fathi
      Within the framework of the course, current research questions and research results within the subject are analyzed and discussed. The PhD student will receive training in presenting research as well as providing constructive feedback on the research work of others.
      The course "Scientific workshop in informatics I" is a prerequisite for attending this course.

      Industrial systems optimization: models and methods, IT0938F (5 ECTS)
      Course responsibleMasood Fathi
      This course studies scientific strategies to support decision making through mathematical modeling. It seeks to design, improve, and operate complex systems through mathematical modeling and has various applications in business, engineering, health care, and industry. The emphasis will be on industrial optimization problems, but problems from other domains will also be discussed in the course.
      In industrial optimization, heuristic methods are sometimes used in cases when analytic methods that always find an optimal solution could easily be applied. This course provides the student with a good background in analytic optimization methods to cope with a variety of industrial problems. The course provides knowledge about different forms of mathematical optimization models as well as exact solution approaches.
      The course contains both a theoretical and a practical part. The theoretical part focuses on learning and developing different types of mathematical optimization models as well as learning and applying certain exact solution methods for solving industrial optimization problems. In the practical part, through a hands-on approach supported by computer software, the student will learn how to solve the mathematical optimization models using an appropriate method for each model type.

        The University library's tutorials

      The University library offers tutorials for PhD students and faculty, autumn 2019, in information seeking, reference management, and publication issues. Please click here for more information and registration. If similar courses will be offered in 2020, the information here will be updated accordingly.

      Courses at the University of Borås

      More courses for PhD students are offered at the University of Borås. Please click here for more information on registration and admission.

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