Bachelor's Degree Programme in Mathematical Modelling and Data Science Programme description

Fagmetodiske problemstillinger inngår som en viktig del av studiet, som det å bruke og drøfte ulike læringsmiljøer, undervisningsmetoder, hjelpemidler, lærebøker. Studiet gjør studentene fortrolige med de grunnleggende ferdighetene å kunne uttrykke seg skriftlig og muntlig, å kunne lese og regne og å kunne bruke digitale verktøy i faget matematikk.

For mer utfyllende informasjon, se den enkelte emneplan.

Begge emner omfatter arbeidskrav og undervisning med krav om tilstedeværelse. For nærmere informasjon, se den enkelte emneplan.

Arbeidskrav skal være levert/utført innen fastsatt(e) frist(er). Gyldig fravær dokumentert med for eksempel sykemelding, gir ikke fritak for å innfri arbeidskrav. Studenter som på grunn av sykdom eller annen dokumentert gyldig årsak ikke leverer/utfører arbeidskrav innen fristen, kan få forlenget frist. Ny frist for å innfri arbeidskrav avtales i hvert enkelt tilfelle med den aktuelle læreren.

Arbeidskrav vurderes til godkjent eller ikke godkjent. Studenter som leverer/utfører arbeidskrav innen fristen, men som får vurderingen ikke godkjent, har anledning til maksimum to nye innleveringer/utførelser. Studenten må da selv avtale ny innlevering av det aktuelle arbeidskravet med faglærer. Studenter som ikke leverer/utfører arbeidskrav innen fristen og som ikke har dokumentert gyldig årsak, får ingen nye forsøk. Arbeidskrav må være godkjent før eksamen kan avlegges.

Studenter med mer enn 20 prosent fravær fra samlingene får ikke avlegge eksamen. Gyldig fravær dokumentert med for eksempel sykemelding, gir ikke fritak for kravet om deltakelse.

For nærmere informasjon om vurdering og eksamen, se emneplanene.

Programplan for matematikk 1, trinn 1–7 – oppdrag

Mathematics for Grades level 1-7, Course 1

Studieprogramkode: K1MBO

Emnekoder: K1MB6100 og K1MB6200

Emneplan godkjent av prodekan for studier 26. mai 2014

Siste revisjon godkjent 04.12.2015

Redaksjonell endring 27.11.2020

Emneplanen gjelder fra høsten 2021

Videreutdanning. Deltidsstudium med samlinger

Fakultet for lærerutdanning og internasjonale studier

Institutt for grunnskole- og faglærerutdanning

The program is a three-year engineering education and awards the degree Bachelor in Mathematical Modeling and Data Science. Each academic year comprises 60 credits, meaning the bachelor's program has a total of 180 credits. Each course has a final exam.

In the first semester, the curriculum and the language of instruction will primarily be in Norwegian, but English literature will be increasingly used throughout the program. The fifth semester is offered in English to facilitate increased student exchange. Although the bachelor's program is mainly taught in Norwegian, there is an expectation that students have sufficiently good English skills as much relevant literature and resources are in English.

The content of the teaching in the common part of the education can be summarized as follows:

First year common courses: Foundation of natural science

• Engineering foundation
• Calculus and discrete mathematics
• Programming
• Physics and chemistry

Second year common courses: Breadth

• Linear algebra
• Multivariable calculus and differential equations
• Statistics
• Numerical mathematics

Third year: Specialization

• Quantum mechanics
• Bachelor thesis

In additional there will be elective courses in theoretical mathematics, artificial intelligence and data science, scientific computing and computer science.

The program is structured into the following course groups according to the framework plan:

• Engineering foundation: 30 credits with fundamental mathematics, engineering system thinking, and introduction to engineering practice and methods. This should mainly relate to engineering education and lay the foundation for the engineering profession.
• Program foundation: 50-70 credits with technical subjects, natural sciences, and social sciences. This should mainly relate to the study program and lay the foundation for the field of study.
• Technical specialization: 50-70 credits providing a clear direction within the respective field, building on the engineering foundation and program foundation. This should mainly relate to the study direction and lay the foundation for the field. The bachelor thesis is included in the technical specialization.

Elective courses: 20-30 credits contributing to further academic specialization, either in breadth or depth. The elective courses in the third year can provide a focus on theoretical mathematics, artificial intelligence and data science, or scientific computing. If there are too few students choosing a given elective course in a semester, the course will not be offered that semester.

Elective courses available in the 5th semester:

• MAMO3200 Simulation and Visualization
• MAMO3300 Real Analysis
• DATS2300 Algorithms and Data Structures
• DATA3800 Introduction to Data Science with Scripting
• DAVE3625 Introduction to Artificial Intelligence

Elective courses available in the 6th semester:

• DAVE3606 Resource-efficient programs
• ADSE3200 Visualization
• MAMO2500 Symmetries and Algebraic Structures
• MAMO2400 Thermodynamics and Statistical Physics

The program facilitates methods that promote the student's academic development and self-activity, encouraging both individual and group studies. The teaching methods are chosen to ensure that students achieve the learning outcomes. Each student shares responsibility for and has influence over their own study and learning situation. This involves active participation throughout the course of study, with discussions of academic questions, fostering a learning environment that encourages reflection, analysis, and critical thinking. Formative evaluation can consist of both oral and written feedback.

The methods of work and teaching will vary somewhat from course to course but will often be based on problem-based teaching and learning. Students will continuously work on problems, solve tasks, and develop various projects. Computers, tablets, mobile phones, the internet, web, and other electronic channels and devices are systematically used for learning, dissemination, guidance, development, and communication.

The main work and teaching methods used in the program are described below. The course plans indicate which are applicable in each course. The program concludes with a large, independent, and practical bachelor thesis, which is normally assigned as a project from the industry.

Teaching specifically adapted for student-active learning

The teaching is specifically adapted for student-active learning methods. Specifically, students will work on challenges related to an engineering problem, a societal need, or similar. Students are expected to find a solution by demonstrating their thought process and approach to solving the problem.

This form of learning is highlighted through various methods such as:

• Project Work: Project work is an important method, where relevant problems are connected to relevant learning objectives and solution methods. Project work varies from individual work to larger group projects.
• Workshops: A method that can promote student-active learning, creativity, and collaboration with others in a concentrated time period.
• Presentations: Some courses provide students with the opportunity to gain experience in presenting academic material and/or project results to fellow students and the course instructor.
• Guidance individually and in groups: Guidance is a way for candidates to receive specific feedback and advice on their project with specific challenges and goals. It is similar to the relationship between a master and an apprentice, where an experienced practitioner shares their knowledge.
• Discussions and reflections: Developing the ability to critically reflect on one's own and others' knowledge is important for increasing the degree of self-evaluation and understanding related to the learning outcomes.

Lectures

Lectures are organized in periods of each course. Lectures are often used to introduce a topic for further work, spark interest, summarize a theme, facilitate study work within particularly difficult areas of a topic, and present current research on a topic.

Self-study

Students are expected to acquire knowledge of topics in the curriculum that are not covered through lectures or other scheduled teaching and to further develop their knowledge through problem-solving.**

Organized group work

Students are organized into groups to, among other things, learn to solve problems together. Students collaborate, share experiences, and reflect, which directly prepares them for collaborative situations in the workplace after completing their education.**

Work-related Bachelor's thesis

The bachelor's thesis will be carried out on work-related problems and can in many ways be compared to a kind of "craft test" in the subject. Students typically work in groups and solve complex problems that connect many of the learning outcomes at both the course and program levels in a large project. The project concludes with an oral presentation to an examiner.

Engineering and technology subjects are international. Much of the curriculum literature is in English, and several systems and work tools use English as the working language. Parts of the teaching may be conducted in English. The specific courses where this applies will be indicated in the respective course plans. Thus, students gain experience with and knowledge of English terminology within engineering.

Engineering and technology studies are also designed for internationalization, allowing students to take part of their studies abroad.

The Bachelor in Mathematical Modeling and Data Science has several partners to which students can go on exchange from the fifth semester onward.

For incoming students, the program offers English-taught courses in the fifth semester.

You can also choose to write your BA project in the 6th semester by completing The European Project Semester (EPS), either at one of our partner institutions or here at OsloMet. More information about where you can complete EPS abroad can be found on the exchange website for your program: Exchange Agreements. If you wish to complete EPS at home, you can find information here: European Project Semester (EPS)

General information regarding EPS: http://europeanprojectsemester.eu/

Required coursework means compulsory assignments/activities that must be approved by a given deadline in order for students to be able to sit the exam. Coursework can be written work, project work, oral presentations, lab courses, compulsory attendance at lectures etc. Required coursework can be done individually or in groups.

Required coursework is intended to ensure the students’ progress and development and that they participate in necessary elements of the programme. Coursework requirements can also be set to ensure that students achieve a learning outcome that cannot be tested in an exam.

The number and type of coursework requirements, the rules for meeting the coursework requirements, deadlines and other details are set out in the course descriptions and teaching plans that are announced at the start of the semester.

Previously approved coursework can be valid for two years after it is approved, provided that the course has not changed.

Required coursework is assessed as ‘approved’ or ‘not approved’.

Not approved coursework

Valid absence documented by, for example, a medical certificate does not exempt students from meeting the coursework requirements. Students who have valid grounds for absence, or who have submitted coursework that is not approved, should as far as possible be given a new chance to resubmit it before the exam. This must be agreed with the lecturer in question on a case-to-case basis. If another attempt at meeting a coursework requirement is not possible because of the nature of the subject/course, the student must be prepared to meet the coursework requirement on the first possible occasion. This can result in delayed progress in the programme.

Studentene skal få en introduksjon til bioteknologi og kjemi som fagområde. Hensikten er at studentene skal få et innblikk i relevante tema innen bioteknologi og kjemi som de kan møte senere i studiet og i arbeidslivet. I tillegg skal studentene få en introduksjon til prosjekt som arbeidsform. Andre sentrale tema er søk etter og vurdering av faglitteratur samt skriftlig og muntlig presentasjon av relevant fagstoff.

For å søke på dette programmet må du ha

generell studiekompetanse (samordnaopptak.no) eller oppfylle kravene til realkompetanse

2 års arbeidserfaring