EPN-V2

MAMO1100 Introduction to modeling and computing Course description

Course name in Norwegian
Innføring i modellering og beregninger
Study programme
Bachelor's Degree Programme in Mathematical Modelling and Data Science
Weight
5.0 ECTS
Year of study
2025/2026
Curriculum
FALL 2025
Schedule
Course history

Introduction

The course gives an introduction to the concept of modelling and explains how we build, implement, and analyze models in engineering problems. In the course, students will explore mathematical models using analytical and numerical methods, in addition to programming and visualization of results. The topics addressed will prepare and motivate students for further studies in mathematical modeling and data science.

Recommended preliminary courses

None.

Required preliminary courses

No formal requirements over and above the admission requirements.

Learning outcomes

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 can:

  • explain what is meant by a mathematical model.
  • provide examples of applications for mathematical models.
  • account for various computational methods and their areas of application.
  • know the difference between a deterministic simulation and a probabilistic simulation.
  • be familiar with standard visualization techniques.

Skills

The student can:

  • translate a selection of models from natural laws and descriptions into mathematical equations.
  • use Python programming to implement the models on a computer.
  • use exploratory methods to acquire knowledge about mathematical models.

General competence

The student can:

  • read and understand texts that deal with simple mathematical models.
  • transfer practical problems into mathematical form.
  • explain and use basic numerical algorithms.
  • evaluate results from mathematical calculations.

Teaching and learning methods

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

Knowledge

The student can

  • explain the oral cavity’s normal anatomy and function, and has a fundamental knowledge about the most common biological reactions
  • describe the structure of cells
  • name the various developmental stages of human teeth
  • name important anatomic structures on a model of the upper and lower jaw
  • explain the structure and function of the jaw joint
  • describe the muscles of the head and neck, with emphasis on muscle insertions and function
  • explain the structure and function of the oral mucosa, salivary glands and saliva and describe the interaction between the anatomical structures of the oral cavity and oral fluids
  • explain the purpose and prerequisites for making impressions and models

Skills

The student can

  • make a functional antagonist model/study model to fixed prosthetics
  • make a functional individual dental impression spoon
  • make functional plaster models and pertaining bite plates of acceptable quality

Course requirements

The work and teaching methods vary between lectures, demonstration lectures, seminars, skills training and self-study. For parts of the teaching, the flipped classroom method is used in which digital learning resources are made available for the students in advance. Student work comprises written and practical assignments, individually and in groups. In seminars, subject matter can be presented both by students and lecturers for discussion.

Assessment

Individual oral examination of about 30 minutes consisting of a presentation by the student and consecutive questions of . The examination result cannot be appealed.

In the case of a new or postponed examination, a different examination format may be used, or a new assignment with a new deadline may be given. If an oral examination is used, it cannot be appealed.

Permitted exam materials and equipment

None

Grading scale

Grade scale A–F

Examiners

An external examiner contributes to the preparation and quality assurance of the exam questions.

Two examiners will assess all exams.

Course contact person

5 credits overlap with the course TANN1100 Dental Morphology and Biology