MOKV2100 Visual Communication and Media Design Course description

No requirements over and above the admission requirements.

Ingen forkunnskapskrav.

Bachelorstudiet i medier og kommunikasjon har generelle progresjonsbestemmelser.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student is capable of explaining:

• probability, probability calculation and probability distribution
• basic statistical processing of measurement data
• confidence and significance, confidence intervals and hypothesis testing, variance analysis
• errors and uncertainty, error accumulation and uncertainty estimates
• calibration and calibration curves
• what a risk assessment is, how a risk assessment is conducted, common methods used and how risk assessment is used in risk management
• quality control and quality assessment principles

Skills

The student is capable of:

• assessing uncertainty and sources of error in measurement results
• using statistical methods to interpret and quality check measurement results
• performing risk assessments of various problems and interpreting and presenting the results of the analysis as a contribution to decisions concerning risk and quality

General competence

The student:

• has basic insight into quality assessments and requirements
• has knowledge of how accuracy and precision in measurement results are affected by sources of error and uncertainty in instrumentation, procedures and work techniques
• has insight into statistical methods for the processing and interpretation of measurement data
• has a basic understanding of ethical issues relating to risk assessment, the use of risk acceptance criteria and how risk assessments can be used and abused

After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:

The student has

• knowledge of power and categorisation processes that contribute to forming the relevant categories in our age
• insight into the intersection between the categories¿ design and importance in different socio-cultural contexts
• knowledge of classical and new theoretical contributions that attempt to understand prominent social categories, such as gender, ethnicity, ¿race¿, social class, sexual orientation and age
• an understanding of how social categories and intersections between them has importance for professionals as well as the different user groups' conditions and social sphere of action

Skills

The student is capable of

• mastering analytical aspects and approaches that are appropriate for analysing implicit and explicit understandings and theoretical contributions, as well as empirical phenomena in the various fields of social work from a perspective of intersectionality
• applying knowledge about the relevant social categories and their interaction in research and development work relating to the social work field and/or different user groups, and to social work's conditions and functions in society

General competence

The student​

• can critically reflect on various power relations and their interactions that are evident in social work

No coursework requirements and no compulsory activities.

Aids enclosed with the exam question paper, and a handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator’s internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

Grade scale A-F.

Frode Nordås

The course builds on Mathematics 1000 and Mathematics 2000 (all study programs), but is independent of Mathematics 3000 and can therefore be taken in the 4th semester if the rest of the study portfolio allows for this.

Ordinary differential equations with variable coefficients

Laplace transforms

Fourier series

Partial differential equations