Programplaner og emneplaner - Student
PENG9570 Applied Mathematical Modelling and Analysis Emneplan
- Engelsk emnenavn
- Applied Mathematical Modelling and Analysis
- Studieprogram
-
PhD Programme in Engineering Science
- Omfang
- 10.0 stp.
- Studieår
- 2025/2026
- Emnehistorikk
-
Innledning
Studenten skal etter å ha fullført emnet ha følgende totale læringsutbytte definert i kunnskap, ferdigheter og generell kompetanse:
Kunnskap
Studenten har
- kjennskap til ulike verktøy som kan brukes for å løse markedsføringsutfordringer i bedrifter
- bred kunnskap om markedsføring og bruk av de ulike virkemidlene i markedsføring, som produkt, pris, distribusjon og promotering
- kjennskap til forskjellen mellom produkter og tjenester og hvordan et tjenestedominant perspektiv gir en bedre forståelse av verdiskapning
- kunnskaper om omgivelser, økonomiske systemer og markeder, strategi, kjøpsadferd og markedssegmentering
- kunnskaper om markedsføringsloven og om forbrukerkjøpslovens bestemmelser om mangler og mangelsbeføyelser
Ferdigheter
Studenten kan
- bruke sentrale markedsføringsverktøy, og gjennom dette arbeidet kunne gjøre reflekterte analyser og valg
- anvende markedsplanen med vekt på sammenhengen mellom de ulike virkemidlene i markedsføring
- anvende og integrere relevante modeller og analyser fra andre relevante fag
- sette opp litteraturreferanser i henhold til gjeldende mal
- ta stilling til forbrukeres rettsstilling og selgers rettigheter og plikter
Generell kompetanse
Studenten kan
- tilegne seg en helhetsforståelse av bedriftens plass i samfunnet
- forstå markedsførers ansvar overfor forbruker
- søke etter faglitteratur og kritisk vurdere kvaliteten på kilden
- grunnleggende regler for kildebruk og kjenne til hva som defineres som plagiat og fusk i studentarbeider
- jobbe systematisk med analyse som grunnlag for å ta beslutninger
Anbefalte forkunnskaper
A thorough knowledge of advanced calculus, including ordinary and partial differential equations. It is a great advantage if students are familiar with linear algebra and Fourier and Laplace transform theory. In terms of programming, some experience in implementing various numerical methods, including schemes for solving partial differential equations is recommended. Some knowledge of mathematical analysis, modern physics or physiology is recommended, depending on their specialisation.
Forkunnskapskrav
Coursework requirements are all types of work, tests and compulsory attendance that are conditions for being allowed to take an exam. Required coursework is assessed as approved/not approved. Please see the course descriptions for more information about the coursework requirements that apply to each course.
The purpose of the coursework requirements is to:
- promote progress and academic development
- encourage students to seek out and acquire new knowledge
- facilitate cooperation and communication on health and technology issues
The programme mainly has coursework requirements in the form of compulsory attendance, various compulsory activities and written assignments.
Attendance and compulsory activities
Compulsory attendance or compulsory activities may be required in areas where students cannot acquire knowledge and skills simply by studying literature.
If a student exceeds the maximum limit for absence or fails to attend compulsory activities, the lecturer must assess whether and, if so, how, the student can compensate for the absence through e.g. an individual presentation or other written work. Absence that cannot be compensated for may lead to delayed progress in the programme.
Written assignments
Several courses have compulsory written assignments or reports as part of their coursework requirements. Written work that is not approved must be reworked before re-submission. If the work is not approved on re-submission, the student cannot take the ordinary exam/assessment.
Students are entitled to a third attempt before the resit/rescheduled exam. An assignment that is not approved the third time it is submitted may lead to delayed progress in the programme.
Læringsutbytte
For all courses except MALKA213 Laboratory exercises – experimental analysis of behavior and MALK5000/MALK5900 Master’s thesis, there is a final individual written home examination. Exams are tailored to the learning outcomes, course content and teaching and learning methods.
The examination in MALKA213 is an empirical article based on experiments (project examination).
Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English. All ordinary exams are held in the same term as the corresponding course.
All exams are evaluated and graded by two examiners, one from program faculty and one external to the program. The grading scale on all exams is: A (highest) to F (lowest) where A to E are the pass grades, and F is a fail grade.
All courses included in the specialisation are specified on the diploma, as is the title of the master’s thesis.
Assessments are carried out in accordance with the Act Relating to Universities and University Colleges, Regulations Relating to Studies and Examinations at OsloMet and Guidelines for Appointment and Use of Examiners at OsloMet.
In accordance with Regulations Relating to Appointment and Use of Examiners at OsloMet, external program supervisors are affiliated with this study program. The external program supervisors shall through feedback and advice contribute to ensuring that:
- the Master’s Degree program is a high-quality program judged by the standards for equivalent degrees at other national and international higher education institutions
- there is a coherence between the learning outcomes, teaching and forms of assessment
- there is a coherence between the different courses of the program
- the students’ knowledge and skills are tested and assessed in an impartial and satisfactory way.
The external program supervisors prepare a report that will be included in the department’s quality assurance work.
Innhold
Arbeidskrav er alle former for arbeid, prøving og obligatorisk tilstedeværelse som settes som vilkår for å fremstille seg til vurdering/eksamen. Arbeidskrav gis vurdering godkjent/ikke godkjent. Arbeidskravene tilknyttet hvert emne fremgår i den enkelte emneplan.
Hensikten med arbeidskrav er primært å bidra til studentens progresjon og faglige utvikling, og stimulere studenten til å beherske faget. Studiet har hovedsakelig arbeidskrav i form av obligatorisk tilstedeværelse, laboratorierapporter, praktiske og skriftlige tester.
Obligatorisk tilstedeværelse
Det kreves tilstedeværelse i undervisning som dekker fagområder som studenten ikke kan tilegne seg på egenhånd.
Det kreves minimum 80 % obligatorisk tilstedeværelse i timeplanlagt og veiledet gruppearbeid, samt på seminarer. I ferdighetstrening (laboratoriekurs og praktisk resepthåndtering) kreves enten minimum 80 % eller 90 % tilstedeværelse. Det kan også være krav om obligatorisk tilstedeværelse i andre aktiviteter. Detaljerte bestemmelser om obligatorisk tilstedeværelse fremgår av emne- og undervisningsplanene.
Studenten må ha tilfredsstilt kravene til tilstedeværelse for å fremstille seg til eksamen i emnet. Studenten skal kontaktes dersom det er fare for oveskridelse av fraværsgrensen. Hvis det viser seg at studenten har overskredet fraværsgrensen, skal faglærer vurdere hvorvidt og på hvilken måte fraværet kan kompenseres. Muligheten for kompensasjon avhenger av hvor stort fraværet har vært og hvilke aktiviteter studenten ikke har deltatt på. Dersom fraværet ikke kan kompenseres, må studenten gå ned til neste kull.
Laboratorierapporter
I enkelte laboratoriekurs må studentene dokumentere laboratoriearbeidet gjennom skriftlige rapporter (labrapporter).
Rapporter som ikke godkjennes etter første innlevering må forbedres og innleveres på nytt.
Praktisk test
I emnet FARMA2120 skal studentene gjennomføre en praktisk test i fremstilling av legemidler med krav til sterilitet.
Dersom en test ikke blir godkjent, vil det bli tilrettelagt for ytterligere ett forsøk før ordinær eksamen. Godkjenning er en forutsetning for å kunne fremstille seg til ordinær eksamen.
Studenten har rett til et tredje forsøk før ny/utsatt eksamen. Dersom tredje gangs forsøk ikke godkjennes, må studenten gjennomføre emnet med neste kull.
Oppgaver i legemiddelregning
I emnet FARMA2400 må studenten ha godkjent regneoppgaver for å kunne fremstille seg til eksamen. Se emneplanen for nærmere bestemmelser.
Arbeids- og undervisningsformer
Varied and student-active teaching methods are used in the program. The languages of instruction are Norwegian and English. Textbooks, reading packages and digital course sequences are in English.
Good learning outcomes primarily depend on the students’ own efforts. Student effort includes benefiting from teaching and academic supervision; following this up with independent work in the form of theoretical studies, and, when relevant, practical skills training. The program is demanding, and requires consistent effort during the whole semester. The most important work and teaching forms used in each course in the program are described below. Individual course descriptions state which work methods each course employs.
Web-based work and teaching methods
Several forms of digital learning resources are used in the program, such as digital textbooks, digital lectures, video clips, tests, and assignments. These resources can be used to prepare for teaching sessions, during seminars using Interteaching, and as part of self-study. This form of teaching requires the students to meet prepared for the scheduled teaching sessions. Interaction can also take place digitally. Students from both specialisations will have access to digitalised versions of the course content. For the digital course sequences, feedback on details of course content, and supervised discussion groups will be available during pre-determined time periods.
Personalized System of Instruction (PSI)
The Innovation and Implementation specialisation provides students with digital course sequences constructed from the principles of Personalized System of Instruction, PSI. This is a teaching program that builds verbal/conceptual repertoires by going from basic to advanced concepts with no gaps in between, and where student progress is contingent on mastering previous learning units at a certain level before the next unit is made available. This will, with required readings matched to the course content and dedicated sessions for teacher’s response to student questions, allow for a certain degree of self-pacing, making this suited for part-time students with different demands on their time than full-time students. The complete content of each course will be broken down into course sequences that build upon the previous one, with a mastery test at the end of each sequence. A success rate of 80% allows the student to continue to the next sequence.
The course sequences replace lectures and workshops for those who are in the Innovation and Implementation specialisation, but students are welcome to participate in all teaching and learning activities, irrespective of their specialisation.
Lectures
Lectures are primarily used to introduce new subject matter, provide an overview and highlight main elements and links within different topics, and also to communicate relevant issues.
Seminars
Seminars emphasize dialogue and discussion between the subject teacher(s) and students in order to stimulate the student's academic development. Verbal presentations by students and discussions are emphazised.
Interteaching
Interteaching is a technology of classroom instruction based on the principles of behavior analysis. The Interteaching method includes pre-session reading; discussion of pre-determined questions in pairs with perambulating instructors; summarizing lectures based on questions from the discussions, and data collection including student evaluation of each session.
Written assignments
Written assignments vary according to learning outcomes, course content and work methods. The assignments usually consist of written work, in the form of essays, reaction papers or reviews of literature, or multiple-choice tests. The coursework requirements ensure steady academic progress and stimulate the students to acquire new knowledge; testing their knowledge, skills and competencies against the standards of the course outcomes. Coursework requirements get feedback from instructors and are specifically designed to give students practice in academic writing and prepare them for thesis work.
Simulation/laboratory exercises/skills training
Simulation/laboratory exercises/skills training is used to design and execute learning experiments, giving hands-on experience with basic learning processes and experiments.
Self-study and student cooperation/group work
Learning requires a high degree of self-paced activity and self-study, including both individual work and cooperation with fellow students. Through activities such as exchanging ideas, presentations, discussions, writing assignments and problem-based assignments, students will be stimulated to learn by communicating knowledge and experience, expressing their own opinions and, together, reflecting on their own attitudes, actions and understanding of the field. Students are encouraged to take initiative to schedule and actively participate in study groups to promote learning. Information about the activities in the institute’s research groups is presented at the start the program, and students are encouraged to take part in the lab activities in the research groups. For each course, the students are responsible for readings.
Arbeidskrav og obligatoriske aktiviteter
Programme description:
Revised programme description approved by the Academic Affairs Committee of the Faculty of Health Sciences on 28 April 2022.
Last amendments approved by the Vice-Dean of the Faculty of Health Sciences on 6 December 2023.
The programme description applies to students starting the programme in 2023.
Vurdering og eksamen
Pass/fail.
Hjelpemidler ved eksamen
Emnet overlapper 8 studiepoeng med MLED5200 Kommunikasjon for ledelse og samhandling.
Vurderingsuttrykk
Adrian Peretz
Sensorordning
For all courses except MALK4000-401, MALK4000-402, MALKA211, MALKA213, MALKA215, MALKA220 and MALK5910/MALKD5910, there is a final individual written home examination. Exams are tailored to the learning outcomes, course content and teaching and learning methods.
Portfolio examination is used in MALK4000-401 and MALKA220. The examination in MALKA213 is an empirical article based on experiments (project examination). MALK4000-402, MALKA211 and MALKA215 are school exams.
Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English. All ordinary exams are held in the same term as the corresponding course.
All exams are evaluated and graded by two examiners, one from program faculty and one external to the program. The grading scale on all exams is: A (highest) to F (lowest) where A to E are the pass grades, and F is a fail grade.
All courses included in the specialisation are specified on the diploma, as is the title of the master’s thesis.
Assessments are carried out in accordance with the Act Relating to Universities and University Colleges, Regulations Relating to Studies and Examinations at OsloMet and Guidelines for Appointment and Use of Examiners at OsloMet.
In accordance with Regulations Relating to Appointment and Use of Examiners at OsloMet, external program supervisors are affiliated with this study program. The external program supervisors shall through feedback and advice contribute to ensuring that:
- the Master’s Degree program is a high-quality program judged by the standards for equivalent degrees at other national and international higher education institutions
- there is a coherence between the learning outcomes, teaching and forms of assessment
- there is a coherence between the different courses of the program
- the students’ knowledge and skills are tested and assessed in an impartial and satisfactory way.
The external program supervisors prepare a report that will be included in the department’s quality assurance work.
Exams in Master in Behavioral Science – specialisation in Concepts and Applications
- MALK4000-401 Complexity, Science and Society: Portfolio exam that includes 3 individual written assignments (Pass/Fail)
- MALK4000-402 Relational Skills: Individual written school examination, 5 hours (A-F)
- MALK4000-403 Behavior Analysis and Radical Behaviorism: Individual written home examination, 5 hours (A-F)
- MALKA211 Introduction to Behavior Analysis: Individual written school examination, 4 hours (A-F)
- MALKA212 Refinement of Behavior Analytic Terms: Individual written home examination (combination of essays and multiple choice/digital tests), 4 hours (A-F)
- MALKA213 Laboratory Exercises – Experimental Analysis of Behavior Analysis: Individual project examination (A-F)
- MALKA214 Experimental Design and Functional Analysis: Individual written home examination (multiple choice test), 3 hours (A-F)
- MALKA215 Complex Human Behavior: MALKA215 Complex Human Behavior: Individual written school examination, 5 hours (A-F)
- MALKA217 Early Intervention for Children with Pervasive Developmental Disorders: Individual written home examination, 5 hours (A-F)
- MALKA218 Ethical Considerations in Applied Behavior Analysis: Individual written home examination, 5 hours (A-F)
- MALKA219 Organizational Behavior Management (OBM): Individual written home examination, 5 hours (A-F)
- MALKA220 Behavioral Economics: Portfolio exam that includes 2 individual written assignments (A-F)
- MALKA222 Clinical Behavior Analysis: Individual written home examination, 3 hours (Pass/Fail)
- MALK5910/MALKD5910 Master’s Thesis: Master’s thesis, individual (A-F)