ACIT4330 Mathematical Analysis Course description

The course focuses on the broad and rigorous approach necessary to do reliable research within the area of analysis and offers a deeper theoretical understanding that can supplement and be leveraged alongside the knowledge and skills from the previous two specialization courses (ACIT4310 Applied Computational and Mathematical Analysis and ACIT4321 Quantum Information Technology).

The course provides a perfect basis for any person who wants to venture into this area. It is also a springboard for functional analysis and operator algebras.

An interest for networking, computer and software architecture.

The Internet of Things (IoT) enables the development of unique, innovative products and services. In this course, students will gain an advanced understanding of some of the most important principles relating to IoT.

Students will become familiar with architecture and intelligent algorithms that govern IoT and pervasive computing and will get to investigate a particular IoT related case in more depth. The goal of the course is to give students an overall understanding of IoT from a technical point of view and in relation to the consequences for society (for example privacy preservation, security) when billions (or trillions) of units communicate with each other in ‘the cloud’.

No requirements over and above the admission requirements.

The course has 8 ECTS of overlapping content toward ADSE1310.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

• has a thorough technical understanding of the functioning of Internet and computer networks
• has an overview of the most important principles in ambient computing, pervasive computing, and the Internet of Things (which include wearable devices, context aware computing, health monitoring, smart houses, crowd sensing, smart grids and ambient intelligence)
• understands the basic technical principles behind the Internet of Things
• has an overview of important principles in IoT-adjacent knowledge areas such as information security and information privacy / data protection
• has a deep understanding of how the Internet of Things and pervasive computing affect security and the protection of privacy in our society
• has good knowledge of the scientific advances and technology leaps that enabled the Internet of Things
• has insight into the use cases and applications of IoT.

Skills

The student

• masters basic concepts and has an overview of algorithms used on the internet and in data communication
• is capable of conceptualising architecture for solutions based on the Internet of Things and pervasive computing
• is able to contrast and discuss IoT-related designs relative to their own field of study

General competence

The student

• is capable of understanding and evaluating solutions based on the principles behind the Internet of Things and pervasive computing
• is capable of communicating aspects of IoT in relationship to their own field of study

The course will mainly consist of lectures and supervisory sessions. Students work individually on exercises or reading assignments given throughout the course. In addition, students will work in groups of two on a project involving IoT. In rare cases, the size of the group may be adjusted, depending on the judgement of the course responsible. A project report documenting the project and its results will be handed in at the end of the course.

The course will provide background and preparatory reading materials. Reading assignments and media will be provided on the electronic learning platform.

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

Two compulsory assignments:

• One project proposal, outlining the rationale and plan for the project. Between 500 and 1000 words.
• One project report, documenting the project and its results. Between 2500 and 5000 words.

The deadlines for submitting the compulsory assignments and other details are stipulated in the teaching plan made available at the start of the semester.

Individual oral examination (20 minutes).

The exam result 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.

All printed and handwritten aids.

Grade scale A-F.

Two internal examiners. External examiner is used periodically.