Courses on PhD level 2018
The following courses are given in 2018 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 firstname.lastname@example.org for registration on one of the courses.
Scientific methodology and communication in informatics, 7.5 ECTS. Course responsible: Jeremy Rose (email@example.com)
The course is aimed at postgraduate students who need to discuss, plan, execute, report and critically review research results from various studies and from scientific literature. After the course, the student will be able to identify, choose and use research methods that support systematic work and communication for complex research problems where it is often necessary to use a variety of methods. Communication shall be in accordance with the requirements for publication in scientific journals.
Scientific theory in informatics, 7.5 ECTS. Course responsible: Jeremy Rose (firstname.lastname@example.org)
In this course, the 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.
Scientific workshop in informatics I, 5 ECTS. Course responsible: Alan Said (email@example.com) and Masood Fathi (firstname.lastname@example.org)
Within the course, current research questions and research findings are analyzed and discussed. The course also trains the research student to present research and to provide constructive feedback to other people's research work.
Research ethics, 5 ECTS. Course responsible: Oskar MacGregor (email@example.com)
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.
Data privacy, 5 ECTS. Course responsible: Vicenc Torra (firstname.lastname@example.org)
The course gives an overview of data security issues. The course will address questions related to the user's, proprietor's and defendant's privacy. Methods and tools from the areas of statistical information control, integrity enhancing technologies and privacy-protection data recovery are presented.
Evaluating the applicability of research results in new domains using demonstrators, 5 ECTS. Course responsible: Anna Syberfeldt (email@example.com)
The course is suitable for doctoral students with a focus on both computer science and engineering. During the course, students will design and implement their own research demonstrator. The demonstrator will be based on the student's own research, but the application scenario used in the demonstrator should be chosen from a different domain than the student's work. The aim is to show the wider applicability of research and to evaluate the research in a new domain practically.
Reviewing and writing a scientific contribution, 5 ECTS. Course responsible: Joeri van Laere (firstname.lastname@example.org)
In this course, students receive training in writing scientific publications that follow academic writing standards as well as training in communicating the most important scientific results and conclusions in an engaging way. The course includes how to write academic and communicative, review and evaluate published articles, and the student may write their own paper in the field of research and receive feedback on this.
Decision making and aggregation, 5 ECTS. Course responsible: Vicenc Torra (email@example.com)
This course will give an introduction to methods for data aggregation. We will discuss methods for data aggregation beyond the usual arithmetic and weighted mean. We will discuss their use in the context of multicriteria and multiobjective decision making, as well as in information fusion.
Scientific workshop in informatics II, 5 ECTS. Course responsible: Alan Said (firstname.lastname@example.org) and Masood Fathi (email@example.com)
Within the course, current research questions and research findings are analyzed and discussed. The course also trains the research student to present research and to provide constructive feedback to other people's research work. The course Scientific workshop in informatics I is a prerequisite for this course.
Qualitative research, 3 ECTS. Course responsible: Susanne Durst (firstname.lastname@example.org)
The course provides an in-depth introduction to qualitative research, design and implementation. It includes qualitative research paradigms, ethical aspects, sampling, qualitative data collection, common mistakes in data collection, transcription methods, data analysis, quality aspects of qualitative research and publication of qualitative research.
The University library's tutorials
The University library offers tutorials for PhD students and faculty, autumn 2017, in information seeking, reference management, and publication issues. Please click here for more information and registration. If similar courses will be offered in 2018, 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.