TBA4420 - Digital Engineering


Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Assignment 5/100 1 weeks A
Assignment 5/100 1 weeks A
Assignment 5/100 1 weeks A
Semester assignment 5/100 30 minutes A
Semester assignment 5/100 30 minutes A
Semester assignment 5/100 30 minutes A
Oral examination 10/100 20 minutes A
Approved report 60/100 13 weeks A

Course content

The increasing digitization of the construction, construction and real estate industry (BAE) requires a new type of expertise. In this course, the student will explore new technology, or new combinations of technology and work processes. The learning is based on a real problem for a BAE (problem owner) business, the students jointly prepare a joint proposal for a solution. In addition, each individual has to make his own solution after a self-chosen specialization.

The course consists of the following four modules: 1) BIM based software and IFC export / import for design (Autodesk Revit) 2) BIM based quality control software (Solibri Model Checker) 3) Information management (based on standards) 4) Feasibility study.

Learning outcome

After completing this course, the student has the following learning outcomes defined in terms of knowledge, skills and general competence:

The student has
- knowledge of how the future engineering tasks can be solved with the support of digital technology and changing work processes
- knowledge of how Industry 4.0 can affect future engineering tasks
- knowledge of interoperability
- organizations working on digitizing the BAE industry
- research in digitization / building information modelling (BIM)

The student can:
- use digital tools to solve engineering tasks
- specify information delivery using ISO29481-1
- specify a BIM Implementation Plan ISO 19650-1

General competence
The student can:
- use digital tools in practical solution of engineering tasks
- collaborate with other professionals and users with the support of digital technology for presentation and information exchange

Learning methods and activities

Project - and problem-based learning that includes lectures, project work on own computer, exercises, group work and self-study. Parts of the course implementation will be collection based. Teaching on campus is mainly conducted as module-based with concentrated teaching over 2 days. Since this is an elective course, it must be expected that it may be difficult to avoid conflicts with times for other teaching. There is no compulsory attendance, but challenging academic requirements for submitted work, as well as active work individually and in groups.

Further on evaluation

The folder is prepared in groups of 2-4 students. The rating folder includes: - preparation of a consultant report, approx. 20-30 pages, 3-5 digital models from the project work, results of the best two of three knowledge tests, and a digital presentation or video of approx. 5 min. of the most important findings from the feasibility study. The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade and is given individually. Emphasis is placed on a comprehensive assessment of all works included in the folder. Detailed guidelines for the project tasks will be published in Blackboard / LMS.

Specific conditions

Admission to a programme of study is required:
Civil and Environmental Engineering (MTBYGG)

Required previous knowledge

The student must be able to use his own PC to run the latest version of Autodesk Revit and Solibri Model Checker in order to participate in volunteer exercises.

Course materials

Hjelseth, E., (siste utgave). Digital Engineering, Use of BIM to learn Built Environment / AEC/FM. Rapport under utvikling. (ca. 100 sider)
Peter Thomas Barnes & Nigel Davies (2015). BIM in Principle and in Practice, 2nd edition Publisher: ICE Publishing, ISBN-13: 978-0727760920 (160 sider)
In addition, excerpts from:
Online teaching from:
Autodesk University, spesielt om Revit:
Solibri Model Checker
ISO19650 Organization of information about construction works -- Information management using building information modelling - Part 1: Concepts and principles and Part 2: Delivery phase of assets
ISO 29481-1:2016 Building information modelling. Information delivery manual - Part 1: Methodology and format
ISO 21597 (under development) Information Container for Data Drop - Part 1: Container and Part 2: Dynamic semantics
ISO 16739:2013 Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries
Randy Deutsch (2016) Data-Driven Design and Construction: 25 Strategies for Capturing, Analyzing and Applying Building Data, John Wiley & Sons, Inc., ISBN: 978-1-118-89870-3, (384 pages).
Reports and presentations, posted on Blackboard / LMS approx. 100 pages

More on the course



Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III


Term no.: 1
Teaching semester:  AUTUMN 2019

No.of lecture hours: 4
Lab hours: 4
No.of specialization hours: 4

Language of instruction: -

Location: Trondheim

Subject area(s)
  • Building Technology
  • Project Quality Management
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Civil and Environmental Engineering



Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Semester assignment 5/100 A
Room Building Number of candidates
Autumn ORD Semester assignment 5/100 A
Room Building Number of candidates
Autumn ORD Semester assignment 5/100 A
Room Building Number of candidates
Autumn ORD Assignment 5/100 A
Room Building Number of candidates
Autumn ORD Assignment 5/100 A
Room Building Number of candidates
Autumn ORD Assignment 5/100 A
Room Building Number of candidates
Autumn ORD Oral examination 10/100 A 2019-12-12
Room Building Number of candidates
Autumn ORD Approved report 60/100 A
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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