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 for registration on one of the courses.

Compulsory courses

Spring 2020

Scientific methodology and communication in informatics, IT0918F (7.5 ECTS)
Course responsible: Jörgen Hansson 
The course is aimed at PhD students who must discuss, plan, execute, report and critically review research results from various studies and from scientific literature. This course goes through basic scientific concepts and methods. These are used as building blocks for designing and developing new methodologies for research projects within Informatics. These methodologies are needed to handle the often interdisciplinary problems regarding complex technical systems. Through lectures and practical assignments, the PhD students will acquire skills to review scientific literature, evaluate different approaches and current methods. The PhD student will learn to design and apply methodologies supporting systematic analysis and structured ways to report research projects. Moreover the PhD student will acquire skills to argue for some already established, combined methodological approaches and concepts, such as abduction, action research, design science, and combining case studies.

Autumn 2020

Scientific theory in informatics, IT0919F (7.5 ECTS)
Course responsible: Jörgen 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 responsible: Oskar 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 responsible: Masood 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

Gender, technology, and culture, IT0937F (7.5 ECTS)
Course responsible: Lissa Holloway-Attaway
In this course the PhD student will explore the relationship between technology development and design, information systems, and society in the context of gender studies, intersectional research, and feminist theory. Such approaches include perspectives from feminist Science and Technology Studies and within Feminist Technoscience, as well as in other critical perspectives for inclusive design in technology, media and engineering disciplines.
The PhD student will explore the ways in which gender and technology are co-constructed within complex social systems (educational, cultural, industry) and investigate how this may influence the design and implementation of new technologies and related discourses.
Intersectional issues (race, class, ability, nationality) will also be examined, and students will draw on contemporary and historical perspectives to develop their analytical skills and deepen their awareness of inclusive development and design practices in socio-cultural contexts. The examinations in the course will consist of seminar discussions and directed readings, a short seminar paper/presentation, and a final research essay.

Autumn 2020

Industrial optimization and decision analysis, IT0917F (7.5 ECTS)
Course responsible: Sunith 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 responsible: Masood 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 responsible: Masood 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.

Course participants