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INN354 Systems and process innovation

Credits (ECTS):10

Course responsible:Joachim Scholderer

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Annual. The course is offered for the first time in Autumn 2023.

Nominal workload:250 hours

Teaching and exam period:This course starts in the Autumn parallel. This course has teaching and evaluation in the Autumn parallel.

About this course

Digitalisation is the strongest force of innovation in our current business environment: the streamlining, standardisation and automation of business processes, implemented in the information systems of the organisation. The course will provide participants with the knowledge, skills and general competences to lead process innovation and system development projects. The course will consist of six parts:

  • Business process management and digital transformation,
  • Process analytics,
  • Process modelling,
  • Process improvement, standardisation and automation,
  • Information systems development,
  • Systems implementation and adoption.

Hands-on work on real and current cases is a key part of the course. Participants will work in teams on a semester-long case project.

Learning outcome

Knowledge:

  • Be familiar with modern information systems management frameworks,
  • Understand the theoretical foundations of important process analytics techniques,
  • Know important strategies for systems and process innovation,
  • Understand systems development models and the concerns that have driven their design,
  • Know the factors that influence the implementation of IT systems in organisations,
  • Know the factors that increase the likelihood that people will start using IT systems,
  • Understand IT-based value creation in organisations.

Skills:

  • Be able to analyse business processes using techniques such as task analysis, process mining and statistical process control,
  • Know how to model business processes in BPMN,
  • Be able to use process analytics to identify opportunities for innovation,
  • Be able to tailor system development models to specific innovation projects,
  • Be able to plan, lead and implement systems and process innovation projects.

General competence:

  • Understand the interdependencies between the social and technical systems in an organisation,
  • Be able to identify project stakeholders and manage their involvement,
  • Be able to integrate concerns about IT-based value creation into the design and management of projects,
  • Be able to work in cross-functional project structures.
  • Workshops on campus, video lectures and self-paced learning units, exercises with data and software, self-study
  • Canvas, Microsoft Teams
    • MATH100 Introductory mathematics or ECN102 Introduction to mathematics for economists,
    • STAT100 Statistics or DAT110 Introduction to data analysis and visualisation.
    • AOS130 Introduction to organisation theory,
    • BUS240 Operations management or IND210 Industrial management,
    • INF120 Programming and data processing.
  • Combined assessment, consisting of one project assignment conducted in groups of up to five participants during the teaching period (weight: 80%) and an individual 1-hour multiple-choice home exam (weight: 20%). To pass the course, all the elements in the combined assessment must be passed in the same semester. No re-sit examination will be arranged in this course.

  • An external examiner will control the quality of the syllabus, questions for the examination, and principles for the assessment of the examination answers.

  • Conduct a semester-long case project in teams of up to five participants. As part of that project, hand-ins in the form of milestone reports and project deliverables.

    The mandatory activity is valid only for one semester. If a participant would like to retake the course, the mandatory activity must also be retaken. The mandatory activity must be approved in order for the participant to be assessed in the course.

  • The course is taught in English. Incoming students can contact the student advisors at the School of Economics and Business (studieveileder-hh@nmbu.no) for admission to the course.
    • Lectures: 30 hours,
    • Campus workshops: 20 hours,
    • Exercises with data and software: 10 hours,
    • Project work on the semester-long case project: 130 hours,
    • Flipped classroom/self-study/syllabus literature: 60 hours.
    • INN265 (5 ECTS),
    • INN352 (5 ECTS),
    • INN350 (10 ECTS),
    • VU-INN260F (3 ECTS).
  • Third year (bachelor) or higher