ACIT4025 Cybersecurity and privacy Course description

The course is organized as a series of lectures and seminars where the subject material is presented and discussed. Between these sessions the students should work with problem solving, implementation of numerical methods and model simulations. The last part of the semester students will work with a compulsory individual project supervised by the course lecturer. The project will involve studies and analyses of a mathematical model and a rather extensive implementation of the numerical solution of the model.

This course provides an overview of the most common services and components found in IT infrastructures in medium- to enterprise-sized organizations and businesses. The services are focused around the internal functioning of the IT department such as backup, logging and configuration management as well as inventory and directory systems.

The course is organized around weekly practical labs and lectures that complement each other. The student will get hands-on experience with the technologies as well as a holistic perspective on IT infrastructures.

Knowledge

On successful completion of this course the student has:

• knowledge of basic legal privacy concepts and data protection regulations and will be able to apply them in systems analysis and design
• knowledge of concepts of privacy by design and privacy impact assessment and the ability to compare different assessment methods
• applicable knowledge of principles of architectural tactics for privacy and privacy patterns.

Skills

On successful completion of this course the student can:

• map legal privacy principles to technical privacy concepts
• design and plan solutions that map security and privacy goals to mitigation mechanisms and technologies
• apply privacy by design and analyze software architectures using privacy impact assessments

• apply appropriate architectural tactics for privacy and privacy patterns in order to derive and create solutions that mitigate privacy risks

General competence

On successful completion of this course the student can:

• explain and apply their knowledge of security and privacy enhancing technologies

• Online course material for preparatory reading (flipped classroom approach)
• Bi-weekly lecture and case discussions
• Bi-weekly presentations of student home assignment cases

Individual written digital exam, 3 hours. The exam result can be appealed.

New/postponed exam: In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

The digitalization of medical and health care systems depends on medical devices with perception (i.e., sensing) and control (i.e., actuation) capabilities. To do their work, sensors and actuators require a transduction mechanism, such as that often provided by a mechanical element in the physical sensors. Generally stated, the transduction mechanism converts nonelectrical parameters to electrical ones in a calibrated way.

This course covers the definitions and structure of the sensors and actuators with a focus on medical and health care applications. In addition, the course introduces analytical methods and tools for multivariate calibration and evaluation of sensors and actuators.

Grade scale A-F

The course provides an arena where students can learn about specific technologies and methods that are relevant for applications in robotics and control. These themes can be varied from artificial intelligence methods for robotics and control, Internet of Things and sensor network systems, autonomous and distributed systems, embedded systems, industrial process control, and other special subjects within robotics and control.

The first part of the course is organised as a series of lectures and seminars. The second part of the course is a practical project. The course is completed by the students submitting a report and giving a presentation of their work.

General knowledge about information security, data processing and information system architecture would be beneficial.

The following coursework must be approved before the student can attend the exam:

• Semester exercise in a group of 3-4 students, resulting in a report between 7500 and 15000 words. The total working load will be approx. 60 hours per student.

Individual written exam, 3 hours.

The exam grade can be appealed.

New/postponed exam

In case the number of students in the course is less than five, the exam will be automatically turned into an oral exam. In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course, the exam may be held as an oral exam. Oral exams cannot be appealed.