Information Package / Course Catalogue
Digital Construction
Course Code: MCE574
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Providing an understanding over advanced topics in Digital Construction.

Course Content

Digital Construction course from Construction Management section helps students on how to reduce the Construction cost, time with better quality and safety using the technologies. The course creates an understanding of digital twins based on technology, methods and tools of interdisciplinary digital process and construction design (BIM, parametric modeling, IoT, VR/AR) using building information.

Name of Lecturer(s)
Assoc. Prof. Gözde Başak ÖZTÜRK ÖZERAY
Learning Outcomes
1.The learner can understand the general construction project management concept
2.The learner can understand the integrated project delivery approach and automation in construction
3.The learner can comprehend the Construction 4.0, its technologies and methods
4.The learner can understand BIM and Digital Twin concepts
5.The learner can have an understanding over the Immersive Technologies, UAv, IoT, 3D Printing, Cyber Security, etc.
6.The learner can understand the artificial intelligence and its subcategories
Recommended or Required Reading
1.Yitmen, I. BIM-enabled Cognitive Computing for Smart Built Environment. Taylor & Francis, 2021. ISBN 9780367861834
2.Barima, O. Digital Twin and the Construction Industry: Dissected Conceptual Lenses, Benefits, Opportunities, Challenges, Capacity Building and Annotated Paths, Nova Science Publishers. 2021. ISBN: 978-1-68507-340-4
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to course syllabus
Week 2 - Theoretical
Construction Project Management
Week 3 - Theoretical
Construction 4.0
Week 4 - Theoretical
Integrated Project Delivery
Week 5 - Theoretical
Automation in Construction
Week 6 - Theoretical
Building Information Modeling (BIM)
Week 7 - Theoretical
Digital Twin
Week 8 - Theoretical
Cyber Physical Systems – Smart Cities, Buildings, Factories, Offices
Week 9 - Theoretical
Cyber Physical Systems – Smart Cities, Buildings, Factories, Offices
Week 10 - Theoretical
Construction 4.0 Technologies – Immersive Technologies - UAV - IoT
Week 11 - Theoretical
Construction 4.0 Technologies – 3D Printing – Cyber Security Technologies
Week 12 - Theoretical
Construction 4.0 Methods – Artificial Intelligence
Week 13 - Theoretical
Construction 4.0 Methods – Genetic Algorithms – Artificial Neural Networks
Week 14 - Theoretical
Construction 4.0 Methods – Machine Learning- Deep Learning
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%25
Final Examination1%60
Assignment5%15
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1453112
Assignment58040
Project116016
Midterm Examination115217
Final Examination112315
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
4
3
3
4
3
3
4
4
3
3
5
2
5
OÇ-2
4
3
3
4
4
3
4
4
3
3
5
2
5
OÇ-3
5
3
4
5
5
4
5
5
4
3
5
4
5
OÇ-4
5
3
4
5
5
4
5
5
4
3
5
4
5
OÇ-5
4
3
4
5
5
4
5
5
4
3
5
4
5
OÇ-6
4
3
3
4
5
4
5
5
3
3
5
2
5
Adnan Menderes University - Information Package / Course Catalogue
2026