Programplaner og emneplaner - Student
ACIT4330 Mathematical Analysis Course description
- Course name in Norwegian
- Mathematical Analysis
- Study programme
-
Master's Programme in Applied Computer and Information Technology
- Weight
- 10.0 ECTS
- Year of study
- 2021/2022
- Curriculum
-
SPRING 2022
- Schedule
- Programme description
- Course history
-
Introduction
All aids are permitted.
Recommended preliminary courses
A course in analysis at bachelor level is an advantage, preferably with some knowledge of real numbers, cardinality, metric spaces and uniform convergence.
Required preliminary courses
For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Learning outcomes
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 basic knowledge of point set topology
- has basic knowledge of measure theory
- has basic knowledge of Fourier analysis
- has basic knowledge of complex function theory
Skills
On successful completion of this course the student:
- is able to prove some of the most fundamental results of mathematical analysis
- is able to apply basic notions and results in proofs and derivations
General competence
On successful completion of this course the student:
- is able to understand literature within these topics
- can transfer with trust this understanding to own research.
Content
None.
Teaching and learning methods
Robotics and Control courses:
- ACIT4810 - Advanced Methods in Modelling, Simulation, and Control
- ACIT4820 - Applied Robotics and Autonomous Systems
Course requirements
None.
Assessment
Individual oral exam.
The oral 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 applying 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.
Permitted exam materials and equipment
The teaching is organized in sessions where the subject material is presented, and in sessions where the students solve problems on their laptops and prototype quantum computers. The latter is done; using online cloud platforms currently provided by enterprises such as, e.g., IBM and D-Wave. Between these sessions, the students are expected to work independently, using their computers, access to quantum computers, and course notes.
In the last stage of the cource, the students are required to complete and present an individual project that involves (i) simulation of a quantum system/process, (ii) simulation of a quantum communications protocol, or (iii) creation of a quantum code and its implementation on a quantum processor using an online cloud platform. The project should be concluded by submitting a report which provides a description of the project, its motivation and implementation, and an analysis the obtained results.
Grading scale
For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Examiners
The student should have the following outcomes upon completing the course:
Knowledge
Upon successful completion of the course, the student:
- have advanced knowledge of how system administration and operations facilitate organizations
- have advanced knowledge of the terms and terminology used when system administration interfaces with an organization
- have advanced knowledge of processes applied to system administration in order to facilitate requests from other parts of an organization
- have deep knowledge of how an IT infrastructure is organized and what components it traditionally comprises of
- have a good understanding of the support architecture of an IT infrastructure, such as backup, issue tracking and configuration management
Skills
Upon successful completion of the course, the student:
- can analyze an IT infrastructure with regard to its components and their purpose
- can apply feature analysis in order to rank alternative components relative to their purpose
- can organize the flow of tasks in an operations team
- can propose ways to measure the performance of an operations team
- can leverage IaaS (cloud computing and virtual infrastructures) to provide systems, network and storage components to users
- can utilize infrastructure support services in order to leverage system deployment to users
General competence
Upon successful completion of the course, the student should:
- can discuss the role of system administration in an organization and society at large
- can analyze how operations can interface with the rest of an organization in order to improve overall proficiency
Course contact person
The assessment will be based on a portfolio of the following:
- One individual project delivery consisting of a report (2000 - 4000 words)
- An individual oral examination
The portfolio will be assessed as a whole and 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 applying 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.