BSc Project

2019/2020

Prerequisite/Recommended prerequisite for participation in the module

This module is based on knowledge gained in the modules at the 1st – 5th Semester.

Content, progress and pedagogy of the module

To demonstrate the totally acquired knowledge, skills and competencies as described for this bachelor study programme.

Learning objectives

Knowledge

  • Must have knowledge of how to design and develop solutions to Manufacturing and Operation Engineering related problem serving the needs of the stakeholder.
  • Must know the role of innovation technologies for production development of manufacturing and/or service.
  • Must know the advantages of both automation and manual work for sustainable operational efficiency.

Skills

  • Must be able to identify and apply organizational, market and technical implications of a given solution to a problem.
  • Must be able to develop new solutions or improve existing ones to new problems related to Manufacturing and Operation Engineering.

Competences

  • Must be able to rationalize and scientifically justify the use of a specific model for a given problem.
  • Must demonstrate competences in performing analyses of organizational requirements for production, manufacturing and service implementation.
  • Must have competences in presenting manufacturing, production and service scenarios based on specific needs choosing relevant technology systems meeting those needs.
  • Must have the competencies to apply job design theories to create sustainable jobs.
  • Is able to map a product innovation into an automation process.
  • Is able to program automation technologies (robots or service).
  • Must have competencies in preparing a problem definition, a coherent analysis and writing of a technical report with clear formulation of results and conclusions, and with proper use of source references.
  • Must have competencies in assessing the usefulness of intelligent manufacturing and service design technologies in relation to different production and services.
  • Must have the competencies to apply design rules, principles and guidelines in connection with the creation novel systems, solutions, concepts, products, or services.
  • Must have the competencies to apply modern principles of agile and sustainable manufacturing to company cases.
  • Must have competencies in modelling global, organizational and technical systems based on state-of-the-art virtualization technologies.
  • Will have competencies to model and analyse the most salient operations management needs of a given system.
  • Must have the competencies to economically justify the solutions to a given problem apply.
  • Be able to deploy knowledge and skills in relation to business process improvement (Such as Lean-Six Sigma, TPM, TQM, Agile) challenges of manufacturing, transportation or service organizations.
  • Be able to combine mathematical tools in an appropriate manner if it is needed to solve a given problem.

Type of instruction

The module is carried out as group-based problem-oriented project work. The group work is carried out as an independent work process in which the students themselves organize and coordinate their workload in collaboration with a supervisor. The project is carried out in groups with normally no more than 4 members.

Extent and expected workload

Since it is a 20 ECTS course module the expected workload is 600 hours for the student.

Exam

Exams

Name of examBSc Project
Type of exam
Oral exam based on a project
ECTS20
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.

Facts about the module

Danish titleBachelorprojekt
Module codeM-MOE-B6-1
Module typeProject
Duration1 semester
SemesterSpring
ECTS20
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Copenhagen
Responsible for the module

Organisation

Study BoardStudy Board of Industry and Global Business Development
DepartmentDepartment of Materials and Production
FacultyFaculty of Engineering and Science