Applied Computer Science (part-time)

Students will gain advanced knowledge of key theories and concepts of big data and machine learning. They will acquire specialised problem-solving skills, being able to bring together several key technologies used in manipulating, storing, and analysing big data. They shall take responsibility to conduct the planning and implementation of activities and evaluate the organisations value of big data.

Students will learn how to extract and identify useful features that best represent the data, learn about the most important machine learning algorithms as well as evaluating the performance of the chosen machine learning algorithm.

This course provides an introduction to interaction oriented software architectures, to provide the students with analytical skills, development methodologies and technological skills that are necessary to analyze, plan and implement architectures for integration projects. The course will be taught in the context of enterprise systems and distributed systems, which means that issues of network protocols, scalability and security will be emphasized.

The central topics of this course include applied computer science and systems development.

Organizations need to develop project managers who can complete projects on time and within budget and this course addresses challenges such as the ability to manage projects and stakeholders, risk assessment and agile planning. Students will gain advanced knowledge of the key theories of project management and agile development. They will acquire specialised problem-solving skills, being able to plan and run a time-boxed iteration, and to use a project management tool. They shall take responsibility to conduct plan, organise and control an agile IS project.

Research is a cyclical process where new and carefully planned investigations build and extend on established work. The aim is to provide students with a fundamental understanding of research as a conceptual, empirical and practical approach to gathering new insight and knowledge within Applied Computer Science. Teaching centres on applied research from the field of computer science and presents students with relevant methods from this domain, along with their possibilities and limitations.

Emphasising the importance of background work with a solid understanding of past research, an important outcome of this course is a structured literature review that forms the foundation for a project plan. Furthermore, students will learn a systematic approach to empirical investigation, including research design and methodology, qualitative and quantitative analyses, design research and the presentation and evaluation of results.

At completion of the course, students will be prepared to begin work on their own research project.

The aim of this course is to provide the student with an opportunity to develop systematic understanding and critical awareness on the solution of a relevant problem in the student¿s focal area. Students will gain advanced knowledge of the research process at Master level, including a deep knowledge of selected theories. They will acquire specialized problem-solving skills, be able to plan and conduct the steps in the research or development process at a high standard. They shall take responsibility to conduct a well planned and executed project at Master level.

This course highlights the importance of Information systems (IS) Strategy and architecture in contemporary organizations. Students will gain advanced knowledge of key theories and concepts of strategic use of IS. They will acquire specialized problem-solving skills, being able to conduct a strategic analysis based on accepted frameworks, and to analyze the implications for a company’s IT architecture. They shall take responsibility to plan and accomplish an IS strategy process for a case organization, with a proposed architecture.

Central topics includes enterprise architecture, IT strategizing, IT strategy alignment and Business Process Modelling.

This course focuses on the soft skills in management of information systems. Students will gain advanced knowledge of theories on leadership, change agents, ethics and required skills within IT-consultancy. They will acquire specialized problem-solving skills, being able to master the personal and organizational techniques required to participate in a change process, practicing leadership and developing professional skills within consulting. They shall take responsibility to conduct a minor consulting project thru an agreement, plan and evaluation.

Central topics include consulting and leadership.

The student will during a lecture series, study, read, digest and process academic literature in an advanced area not offered by other existing courses. The course explores the current and potential future impacts of new, emerging, and rapidly evolving technologies in human-computer interaction and computer science. Students will gain insights into these technologies and how society, organizations and people are coping (or not) with the resulting disruption. The student will demonstrate their mastery of the material by a combination of oral discussions with the faculty members and co-students; exercises set by the faculty member accompanying the readings; and a written summary synthesizing the material that the student learned. Overall the student will gain a broader and deeper perspective of the emerging areas in the fields.