ACIT4310 Applied and Computational Mathematics Course description

The course will provide the students with an understanding of what a mathematical model is and how we use models to gain insights into systems and processes in science and engineering. The course will train the students in using analytical and computational methods for analyzing and solving differential equations and prepare them for developing, analyzing and simulating mathematical models in their own projects. The models and methods taught in this course are generic and applicable not only in science, but also in various industrial contexts.

No formal requirements over and above the admission requirements.

Privacy by Design is a fundamental requirement of the General Data Protection Regulation (GDPR) for all systems operating on personal information. This course provides an introduction to privacy and data protection including the legislation such as the GDPR, privacy enhancing technologies, privacy management, designing for privacy, and privacy patterns in software design. It enables the students to understand regulation, to identify privacy risk and consequences of data breaches, introduces them to privacy controls and builds skills in their application in a structured privacy engineering process.

No formal requirements over and above the admission requirements.

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student has:

• in-depth knowledge of a contemporary topic in cybersecurity and/or information privacy

• deepened insight into cybersecurity technology, security vulnerabilities, information privacy and cybersecurity theory and practice and the societal relevance thereof
• cross-disciplinary insights into how information security interfaces with other disciplines and specializations (e.g. security usability, AI-empowered security, quantum security, IoT and cloud security)

Skills

On successful completion of this course the student can:

• systematically and independently search for, classify and review scientific literature using publication databases
• plan, write and present a scientific article or technical report following the IMRAD structure
• explain and critically review the topic orally in a presentation

• provide constructive peer review for scientific and technical papers to peer students
• write a review or argumentative article about a cybersecurity topic

General Competence

On successful completion of this course the student can:

• find and filter scientific literature in advanced topics in cybersecurity and related areas
• critically assess state-of-the-art literatures in cybersecurity and related areas
• present complex topics to a broad audience. Both orally and in writing

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

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

One group assignment (2-5 students appointed by teacher) consisting two parts: a report and a presentation.

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

• delivery of a written report (3000 words, +/- 10%)
• delivery of two rounds peer reviews
• mid-term presentation of literature search

The examination consists of two parts:

1. An individual written article between 5000 and 10000 words. The article counts 60% towards the final grade.

2. A 20-minute individual presentation. The oral exam counts 40% towards the final grade.

Each part must be passed with at least E to pass examination.

Part 1 of the exam can be appealed, part 2 of the exam cannot 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 student should have the following outcomes upon completing the course:

Knowledge

Upon successful completion of the course, the student should have

• specialized knowledge to differentiate technologies used for sensors and actuators in medical and health care applications.
• an advanced technical understanding of the transduction mechanisms and sensory schemes.
• a good understanding about building a sensor and actuator in specific cases involving medical and health care applications.

Skills

Upon successful completion of the course, the student can:

• categorize sensors and actuators based on their applications.
• calibrate optical and electrical spectra using multivariate calibration.
• analyze the performance of sensors and actuators.

General competence

Upon successful completion of the course, the student should:

• understand the role of sensors and actuators in medical devices.
• can explain and discus challenges related to sensors and actuators that are applied medical and health care applications to experts and non-experts alike.
• can design a system that is based on sensors and actuators with a specific transduction mechanism.