M1GRL2200 RLE 1, emne 2 Emneplan

Fagplanen tilhørende dette emnet er lagt på emne M1GRL2100 RLE 1, emne 1.

Studiefaget RLE kvalifiserer for undervisning i skolefaget KRLE.

Emnet omfatter følgende hovedområder: Fagdidaktikk, hinduisme, buddhisme, sikhisme, nyreligiøsitet, samisk religionshistorie, humanisme, livssyn og deres grunnleggende ideer og praksiser. Emnet innbefatter også etikk og filosofi. Studentene skal arbeide med ulike tilnærminger til fagstoffet; både en systematisk tilnærming til fagstoffet og en mer overgripende tematisk tilnærming. Den systematiske tilnærmingen har fokus på atskilte tradisjoner og særpreg ved tradisjonene. Den overgripende tematiske tilnærmingen har fokus på likheter og sammenhenger. Målet er å dyktiggjøre studentene til å kunne gjennomføre en inkluderende religions- og livssynsundervisning. Emnet innbefatter også fagdidaktikk med fokus på fortellingsdidaktikk, samt refleksjoner om studentenes egne holdninger i forhold til mangfold og inkludering.

Arbeidsformene veksler mellom forelesninger, diskusjoner, studentpresentasjoner, selvstudium og gruppearbeid.

For å kunne framstille seg til eksamen må studenten ha følgende godkjente arbeidskrav:

• en funksjonsanalyse basert på et gitt case. Resultatet skal innleveres i form av en skriftlig rapport på 8-10 sider/18400-23000 tegn inkludert mellomrom (eksklusive forside, innholdsfortegnelse, litteraturliste og eventuelle vedlegg). Arbeidskravet gjennomføres som en gruppeoppgave i grupper på 3-5 deltakere. Hver gruppe har krav på en veiledningstime.

Arbeidskrav kommenteres skriftlig eller muntlig av faglærer og skal være gjennomført og godkjent innen fastlagt frist, før studenten kan framstille seg til eksamen. Dersom  arbeidskrav ikke blir godkjent, gis det anledning til å kunne levere en forbedret versjon én gang innen angitt frist.

The learning outcomes will be achieved by means of different learning methods adapted to each individual course. Teaching methods include lectures, assignments, seminars, project work and the use of online learning resources. Project work is carried out both in groups and individually. In some courses, lab environments are available for students to practice their skills. The labs will mimic the real world as closely as possible in order to allow for a realistic setting for the students.

The program is based on student-centred learning methods and project work that requires active participation from students. Students will receive feedback on their presentations and reports.

For seminar-based courses, it is essential for students to be prepared to follow the presentations and actively participate in projects and discussions.

Research and teaching are integrated throughout the study program. The teaching is constantly updated to encompass new knowledge, and research articles are part of the syllabus in many of the courses. Furthermore, the students will participate in research-related discussions and have the opportunity to be included in ongoing research and development through projects that are part of the study program.

The master's thesis is a piece of independent research or development work in one of the key topics of the study program. Each student will be assigned an internal supervisor, who will ensure that the project complies with research ethics principles and help students to formulate the research question and ensure quality in the collection and analysis of data. Seminars with supervisors and fellow students will develop each student's ability to critically assess and discuss their own and other students' work. The thesis shall be a written report based on research principles and methods.

The Master's program in Applied Computer and Information Technology (ACIT) offers an expert-level education in the design, development, use and maintenance of computer technology, electronics and software in areas that have become of great importance for modern societies. We live in a world with computing devices both surrounding us and, in some cases, even working inside us. Technology is a part of how we entertain ourselves, communicate, govern and heal. Services that span the world open up for individuals to interact across the globe.

Yet with technology comes new challenges. The application of computers and electronics in our society offers progress for many, but it may also close the doors for people with impairments. We can communicate across the globe, but our communication can be intercepted and used against us. Our data can be used to get new insight about our behavior, but the analysis is complex and requires ethical considerations of whether the search for new knowledge is indeed with the right intentions. Artificial Intelligence offers to delegate many mundane tasks to robots, but consequences are potentially wide and may trigger deep changes in our civilization.

The Faculty of Technology, Art and Design at Oslo Metropolitan University believes that solving these challenges requires a broad and multidisciplinary approach. Solutions for the public should be viewed as an artefact beyond a singular discipline, like Computer Science or Electrical Engineering. It needs to be a combination of expert knowledge and interdisciplinary thinking. Our researchers know from their own experience that in the real world, engineers sit alongside mathematicians, programmers, economists, sociologists, physicists, designers and statisticians, just to name a few, to work on self-driving cars, computer games, medical devices, solutions to combat the climate crisis.

As technologists we can become the enablers of others. We can let teachers teach in novel ways. We can let children with disabilities partake in activities previously denied to them and we can let doctors perform surgery on patients that are miles away. Moreover, we become inventors and transformers as we understand what others need and have the expertise to know what is possible, or should be possible. This makes our field incredibly meaningful and important. This program offers a range of specializations stemming from the overlap of three fields of research: Computer Science, Electrical Engineering and Mathematical Modelling.

The uniqueness of ACIT is that it offers a closer connection between all three fields and showcase how they are part of the same technological fabric of today's digital society. Thus, ACIT recognizes that candidates will have a better foundation for solving tomorrows challenges if a broader perspective is available to them. The aim is not, however, to create generalists, but to create experts in their own field who are also able to see the broad picture of how technology impacts society. These individuals contribute not only through providing deep knowledge and expert skills from a relevant field, but at the same time are able to partake constructively as members of interdisciplinary teams. The program is designed to allow the student to select an area of specialization but also requires them to become familiar with a second area of their choice. In addition, the student will be trained specifically in the role as the expert member of a team.

Each field of specialization represents an area where the application of software, data, computers and electronics has become necessary for modern society yet challenging to do in practice. These areas are still wide enough to allow for life-long careers as technology progresses. In addition, a Master's degree in science requires each candidate to have training in scientific thinking and research, enabling our candidates to pursue careers as scholars in academia as well as industry researchers, leading the way for new discoveries and scientific progress.

ACIT Specialization areas

Our program offers several areas of specialization. Each area connects the student to an active research group at the faculty. When applying for the program, the applicant needs to select what area of specialization to join. Please note that each specialisation has a unique set of admissions requirements.

ACIT: Applied Artificial Intelligence

Recent discoveries in artificial intelligence have enabled computers and machines to perform many cognitive tasks better than humans, from self-driving cars to diagnosing diseases in seconds. The application of artificial intelligence methods is revolutionizing the way we work and live. This specialization involves learning how complex systems are designed and used to make autonomous decisions. The students will have access to different types of robotics and intelligent systems that can be used to test their work. This area involves programming, robotics and mathematics.

ACIT: Biomedical Engineering

The need for innovation in the field of biomedical engineering has never been so important as now. Neither has it ever been given so much attention from governments, organizations providing health care and the media. It is evident that to provide world class health care, the need for technology that helps efficiency and accuracy is essential. This specialization will prepare the students for a professional career in companies related to new and existing health products. The students gain an interdisciplinary background but with a focus in electrical engineering and instrumentation.

ACIT: Cloud-based Services and Operations

Today's services need to be designed for thousands; even millions of users and require infrastructures and architectural designs beyond common webservers and databases. This specialization area focuses on the practice of designing, developing and running massive-scale services and delivering software faster and with higher quality than before. We embrace the DevOps philosophy, in that developers should be better trained in automation and deployment and operations should build mechanisms for developers to thrive. It is highly relevant for anyone who wants a career as a software developer. The specialization covers both infrastructure management and agile software delivery and automated testing and deployment, creating candidates with a practical competence in the entire cloud stack from the servers and clouds and all the way to the running service.

ACIT: Cyber security

Cyber security ensures the proper and reliable function of digital systems. Its focus is the creation, maintenance and analysis of information security, data privacy data secrecy, the assessment of risks and their mitigation, and the reliable operation of digital processes. The ACIT cyber security specialization educates master students in the areas of general information security, in defensive and offensive operations for security, in technical data protection and privacy, and in the political and societal implications of cyber security, such as, for example, information warfare and cyberwar.”

ACIT: Data Science

The wealth of data produced by us and the things around us offer new knowledge that can be useful for both business and government. It can assist in public transport, health care as well as provide tailored market solutions. With all the data available to us, however, a special expertise is needed to organize and harness it so that useful knowledge can be extracted. This area offers a deep-dive into the storage and analysis of Big Data from a practical perspective. Data Science involves programming, use of advanced tools and infrastructures and statistics.

ACIT: Universal Design of ICT

With our emerging digital society, it is becoming essential that all electronic information and services should be accessible for all, regardless of devices, situations, and abilities. As progress moves us forward, no-one should be left behind. This poses a great challenge on ICT infrastructure and services in our society. Our world requires competent ICT professionals who can create universally accessible user interfaces that work for all. This specialization offers a unique opportunity to become that professional.

ACIT: Mathematical Modelling and Scientific Computing

Application of mathematics to describe our world is a central element of many areas of our every-day life. Physics, economics and meteorology are examples of disciplines where mathematicians work side-by-side with specialists to convert real phenomena into equations. When these equations are translated into program code to be executed in potentially massive computing clusters, simulations are generated that may be used for e.g. weather or economy forecasting. This area is characterized by development of mathematical models, application of sophisticated methods for analyzing and simulating the models as well as use of tools, programming and computational infrastructures. Students of this specialization can expect to learn how their competence can be utilized in practice by the industry.

ACIT: Robotics and Control

Robotics and Intelligent Systems are steadily revolutionizing almost every aspect of our every-day life. From self-driving cars, autonomous ships, fully automated factories and drones that can deliver groceries. It is a field with tremendous expected growth and demand for skilled multidisciplinary professionals in the convergence of electrical, mechanical and software engineering. This specialization provides a hands-on approach to the analysis, design, and control of robotic and autonomous systems.

Programme objectives

This program offers a practical-minded, profession-oriented specialization, extending a bachelors in technology, computer and software engineering, electrical engineering and mathematics. Our goal is to educate and train candidates so as to make them fit to address the challenges of both professional life and scholarly enquiry within their specialization as well as being a productive member of interdisciplinary teams.

Graduates from this program will:

• understand the role of their specialization in organizations and society
• possess deep technical skills from their own specialization that can be applied in a variety of real-life scenarios
• understand how their specialization is part of a wider fabric of skills necessary to solve tomorrows challenges
• have a professional and ethical attitude towards their role in the workplace
• display creative thinking in real-life situations, leaning both on theoretical knowledge and on pragmatism
• plan and execute their work in a structured and independent manner, be it as professionals or as researchers in their field

Det benyttes en intern og en ekstern sensor til sensurering av besvarelsene. Et uttrekk på minst 25 % av besvarelsene sensureres av to sensorer. Karakterene på de besvarelsene som er vurdert skal danne grunnlag for å fastsette nivå på resten av besvarelsene.

Applicants will choose the desired specialization track at the point of applying for the program. Admission to the program is based on two sets of requirements. The general admission requirements, which are the same regardless of track chosen, and the specialization track requirements. Please take special note of the individual requirements of each specialization track.

For each specialization track, there is also a list of recommended prior knowledge, which can be found in the Content and Structure section, under "Specialization Track Content". That list is not a formal admission requirement, but we encourage students to review it in order know what areas they might want to spend time preparing in before starting in order to avoid steep learning curves. The topics listed can be found as part of most university bachelor programs in technology and engineering. The student can use the list to inform any decision on elective courses in their bachelor studies that might best prepare them for their targeted specialization in this program.

General admission requirements

In order to qualify for an international master's degree, the applicant must be able to document sufficient mastery of English. Please consult the current regulations at OsloMet for a complete overview: English proficiency requirements for master's - OsloMet

In addition to English proficiency, applicants must have completed a BSc or equivalent program with a grade average of C or better.

The master programme aims for a diverse group of students from many countries. To ensure even representation in each of the specializations, if a country is overrepresented in applications (with the exception of applicants from Norway), the program reserves the right to assign a maximum of three students from each country to a specialization.

Specialization track requirements

In order to be qualified for their desired track, the applicant must comply with at least ONE of the requirements for that track. Each requirement is a combination of Bachelor's degree from a specific field with possible conditions for ECTS within certain topics.

Applied Artificial Intelligence

• BSc in Computer science, Computer Engineering or Informatics
• BSc in Information technology or other equivalent qualifications, which include at least 80 ECTS within the field of computer science
• BSc in Electrical Engineering with at least 10 ECTS of programming
• BSc in Mathematics or Applied Mathematics with at least 10 ECTS of programming

Biomedical Engineering

• BSc in Electrical Engineering
• BSc in Biomedical Engineering
• BSc in Mechanical Engineering
• BSc in Chemical Engineering
• BSc in Biotechnology Engineering
• BSc in Physics
• BSc in Computer Science, Computer Engineering or Informatics
• BSc in Statistics
• BSc in StatisticsYou must also upload a motivation statement in a 3-minute video (MP4)

Cloud-based Services and Operations

• BSc in Computer science, Computer Engineering or Informatics
• BSc in Information technology or other equivalent qualifications, with at least 80 ECTS within the field of computer science
• BSc in Electrical Engineering with at least 10 ECTS of programming

Cyber security

• BSc in Computer science, Computer Engineering or Informatics
• BSc in Information technology or other equivalent qualifications, with at least 80 ECTS within the field of computer scienceYou also need a minimum of 10 ECTS in data security or a similar technical topics, such as network security, information security, mobile security, applied cryptography, privacy-enhancing technology or computer security management.

Data Science

• BSc in Computer Science, Computer Engineering or Informatics
• BSc in Mathematics or Applied Mathematics with at least 10 ECTS in programming
• BSc in Physics with at least 10 ECTS in programming
• BSc in Statistics with at least 10 ECTS in programming
• BSc in other engineering subjects with at least 10 ECTS in Mathematics, 10 ECTS in Statistics courses and 10 ECTS in programming

Mathematical Modelling and Scientific Computing

• BSc in an engineering discipline with at least 30 ECTS (in total) withinMathematics, Statistics and/or Scientific Computing
• BSc in Computer Science or Informatics with at least 30 ECTS (in total) within Mathematics, Statistics and/or Scientific Computing
• BSc in Mathematics
• BSc in Statistics
• BSc in Physics

Robotics and Control

• BSc in Electrical Engineering
• BSc in Mechanical Engineering
• BSc in Chemical Engineering
• BSc in Physics
• BSc in Mathematics or Applied Mathematics
• BSc in Computer Science, Computer Engineering or Informatics And 10 ECTS programming and 25 ECTS mathematics and / or statistics.
• BSc in StatisticsYou must also upload a motivation statement in a 3-minute video (MP4)

Universal Design of ICT

• BSc in Computer Science, Computer Engineering or Informatics
• BSc in Information technology or equivalent program, which at least 80 ECTS within the field of computer science.

Ingen.

Det benyttes en gradert karakterskala fra A til E for bestått og F for ikke bestått eksamen.

Eksamen bedømmes av to interne sensorer. Emnet er underlagt tilsynssensur, i henhold til retningslinjer for oppnevning og bruk av sensorer.