Subject Datasheet

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I. Subject Specification

1. Basic Data
1.1 Title
Complex Construction IT project
1.2 Code
BMEEODHMB5K
1.3 Type
Module with associated contact hours
1.4 Contact hours
Type Hours/week / (days)
Consultation 2
1.5 Evaluation
Midterm grade
1.6 Credits
6
1.7 Coordinator
name Dr. Árpád Barsi
academic rank Professor
email barsi.arpad@emk.bme.hu
1.8 Department
Dean's Office
1.9 Website
1.10 Language of instruction
english
1.11 Curriculum requirements
Compulsory in the Construction Information Technology Engineering (MSc) programme
1.12 Prerequisites
1.13 Effective date
31 January 2025

2. Objectives and learning outcomes
2.1 Objectives

The course focuses on equipping students with the skills required for managing complex construction projects. They will explore how IT technologies enhance engineering processes and gain foundational knowledge in building IoT networks, hardware components, control development techniques, and smart home requirements. Practical applications of sensor networks will be covered, emphasizing energy efficiency, safety, and comfort in buildings. Students will learn how smart monitoring systems contribute to energy performance analysis and sustainability goals. They will also acquire basic skills in point cloud processing within their own development environment and gain insights into BIM-based building surveying. The course lays the groundwork for a comprehensive project assignment, where students will design an IoT network and collect real-world data.

2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
  1. Knows the architecture of microcontroller-based IoT devices.
  2. Knows the components of smart homes.
  3. Has an overview of the data types and formats that can be acquired through IoT networks.
  4. Knows the info-communication background of IoT devices and smart homes.
  5. Understands the benefits regarding sustainability goals of smart home systems and facility management.
  6. Understands the principles of monitoring various environmental characteristics using sensor networks.
  7. Understands how point clouds can support particular engineering applications.
  8. Knows basic point cloud processing workflows.
  9. Has an overview of building survey technologies.
  10. Knows how to build a basic BIM model.
B. Skills
  1. Creates a basic IoT system.
  2. Able to set the parameters of an IoT device.
  3. Applies numerical methods to the control and data acquisition of sensor networks.
  4. Able to acquire data for building energy performance or comfort analysis.
  5. Able to carry out basic point cloud processing workflows.
  6. Derives data from point clouds that enables engineering analysis.
  7. Performs indoor building surveys.
  8. Able to create a simple BIM model that can support smart home applications.
C. Attitudes

  1. Collaborates with the teacher and fellow students in gaining knowledge,
  2. Is continuously gaining knowledge,
  3. Looks for the latest, most suitable technological solutions to implement the design in a high quality,
  4. Is open to the use of IT tools and equipment,
  5. Makes an effort to understand and use the tools in use,
  6. Aims accuracy in his/her calculations/solutions,
  7. Aims to understand the criticism,
  8. Applies self-checking of his/her calculations, corrects the mistakes,
  9. Needs the use of optimal, durable, and safe technologies,
  10. Strives to take into account the principles of energy efficiency and environmental awareness and to
  11. expand his knowledge of such subjects.
D. Autonomy and Responsibility

  1. Is independent in problem statements and solutions based on given resources,
  2. In some situations - e.g. in team-based home assignments - collaborates with fellow students in solving tasks,
  3. Aims to understand the complexity, and comprehensiveness of the problems and recognize the synergies,
  4. In the case of teacher and fellow student criticism of his work, he accepts the well-founded critical comments and incorporates them into his further tasks,
  5. Actively participates in the professional debate, and expresses his opinion with justification.
2.3 Methods

Under continuous supervision individually solves homework, communicates in oral and written form, and uses IT tools and equipment.

2.4 Course outline
WeekTopics of lectures and/or exercise classes
1.demonstration Grasshopper
2.demonstration Grasshopper
3.demonstration Ladybug
4.demonstration Ladybug
5.building survey by laser scanning
6.building survey by Orthograph
7.building IoT network
8.building IoT network
9.building IoT network
10.building IoT network
11.building energy modeling
12.building energy modeling
13.project documentation
14.assessment

The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials

a) Textbooks, literature:

  • project-specific, consult with the supervisor

b) Online materials: materials uploaded to the website of the subject, e.g.:

  • general presentation slides
  • guidelines
2.6 Other information
2.7 Consultation

The instructors are available for consultation during their office hours, as advertised on the department website. Special appointments can be requested via e-mail.

This Subject Datasheet is valid for:
2024/2025 semester II

II. Subject requirements

Assessment and evaluation of the learning outcomes
3.1 General rules

The assessment of the learning outcomes is specified in clause 2.2. above and the evaluation of student performance will be carried out through home assignments and active consultation work.

3.2 Assessment methods

Evaluation form Abbreviation Assessed learning outcomes
Home assignment HA1 A.1-6., B.1-4., C.1-7., D.1-2.
Home assignment HA2 A.7-8., B.5-6., C.1-7., D.1-2.
Home assignment HA3 A.9-10., B.7-8., C.1-7., D.1-2.
Activity A A.1-10., B.1-8., C.1-11., D.1-5.

The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.


The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
AbbreviationScore
HA130%
HA230%
HA330%
A10%
Sum100%
3.4 Requirements and validity of signature

No signature can be obtained.

3.5 Grading system
GradePoints (P)
excellent (5)80 <= P
good (4)70 <= P < 80
satisfactory (3)60 <= P < 70
passed (2)50 <= P < 60
failed (1)P < 50
3.6 Retake and repeat

  1. Each home assignment can be resubmitted one week after the normal deadline, free of charge.
  2. Activity A cannot be repeated, and cannot be substituted with other forms of activity.
3.7 Estimated workload
ActivityHours/semester
Consultation hours14 × 2 = 28
Preparing HA152
Preparing HA250
Preparing HA350
Sum180
3.8 Effective date
31 January 2025
This Subject Datasheet is valid for:
2024/2025 semester II