ACIT4015 Internet of Things Course description

No formal requirements over and above the admission requirements.

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

For the oral exam, students will only have access to the project report.

The student should have the following outcomes upon completing the course:

Knowledge

Upon successful completion of the course, the student will:

• have advanced knowledge of service architectures and how they are applied in the industry
• have advanced knowledge of the platforms used to deploy large-scale services
• have a deep understanding of the principle of service continuity and the techniques and methods used to make services scalable and robust
• have a deep understanding of the DevOps movement and its history
• have expert insight into release management from an operations perspective

Skills

Upon successful completion of the course, the student:

• can evaluate and discuss a service architecture in relationship to the intended service function with regard to performance, scale and robustness
• can apply load balancing and scaling techniques in order to create robust services
• can define release-management strategies
• can evaluate and discuss a release-management plan in relationship to an agile development project

General competence

Upon successful completion of the course, the student:

• can discuss the state of agile service management in the industry
• can communicate challenges, analysis and conclusions in developer operations with regard to service architectures and release management to specialists as well as the general public

This course uses the flipped classroom methodology to cover topics in its theoretical form as homework and let students experience them with hands-on work in the classroom. Students work individually in order to complete technical assignments. Lab-work is supervised by the teacher who provides feedback to the student along the way.

Students will organize their work surrounding a chosen project. The project report will based on a task which they can choose from a list of available projects. The task will be a combination of technical work along with a theoretical discussion.

Towards the end of the course, students will spend more time on their own projects in class under continuous supervision from the course teachers. Students can use that time to discuss approaches and challenges to their own projects.

None

The students will work individually to complete a task from the available list provided in the class. The results are documented as a project report. The total amount of text should be 4000 +/- 500 words, not including references and appendix with scripts etc.

The exam 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.

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 the course the student:

• knows the relevance of a selection of mathematical models to real-world phenomena
• has a thorough understanding of how mathematical modelling and scientific computing are utilized in various industrialized settings
• has a repertoire of methods to solve and/or analyze ordinary and partial differential equations (ODEs and PDEs)
• knows how to analyze the dynamics of an ODE system
• has a thorough understanding of the definitions of a smooth manifold and the tangent space
• knows the definitions and algebra of tensors and differential forms on a smooth manifold

Skills

On successful completion of this course the student can:

• to derive mathematical models from facts and first principles for a selection of dynamical systems
• apply mathematical modelling techniques on scenarios relevant to industry
• can implement mathematical models within the context of applied computer and information technology
• analyse ODE systems and use bifurcation theory to elucidate the qualitative behavior of the systems
• implement and use a selection of numerical methods for solving ODEs and PDEs
• give examples of smooth manifolds and prove their smooth manifold property from the definition
• use the geometric concepts and tools associated with smooth manifolds in the analysis of mathematical problems within mathematics, physics and engineering

General competence

On successful completion of this course the student:

• is aware of the usefulness and limitations of mathematical modelling as well as of pitfalls frequently encountered in modelling and simulation
• is able to discuss properties of a system using the equations of the mathematical model
• can explain and use numerical methods and interpret results of numerical simulations
• is aware of the role of smooth manifolds as one of the most fundamental concepts in mathematics and physics

Two internal examiners. External examiner is used periodically.

Associate Professor Kyrre Begnum

The beginning of the course will focus of familiarizing oneself with the technologies used in building and delivering high-volume services. This will include containers and similar technologies, load balancing, automated testing and revision control systems. The students will put these technologies to the test in exercises in our lab environment.

All of the presented topics are relevant for the project which the students will work on and are continuously revised to be close to current industry practices. The focus is on providing an essence of each topic, which allows the student to get a large overview of the state-of-the-art of modern service delivery. The projects allow students to go deeper on a select set of technologies from the initial overview and apply them on a specific case.

Grade scale A-F.