ECTS - Emerging Technologies in Civil Engineering

Emerging Technologies in Civil Engineering (CE468) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Emerging Technologies in Civil Engineering CE468 Area Elective 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Gökhan TUNÇ
Course Assistants
Course Objectives The aim of this course is to give students introductory information about building information modeling (BIM) and project information software systems (PIMSS), their uses in design and construction of buildings, let them become familiar with various BIM and PIMSS software.
Course Learning Outcomes The students who succeeded in this course;
  • The students will learn how 3D CAD technologies are used for developing clash free designs.
  • The students will learn how the BIM technology is used for more effective and efficient construction, and project management.
  • The students will learn how the PIMSS systems are used during the construction stages of civil engineering projects and become familiar with different software.
  • The students will learn how quality control, management and process management is handled with the PIMSS systems.
  • The students will be introduced to data collection systems and 3D scanning systems that are used at the construction sites. They will learn how to increase quality and efficiency while decreasing and keeping under control the cost.
Course Content 3D BIM software, 3D BIM stages, PIMSS software and general cloud based systems, internet of things, hardware and software systems for data collection, recording and analyses, 3D scanning systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to CAD / 3D Modeling, Database Systems and BIM
2 Different levels of BIM modeling, LOD definitions and BIM software
3 BIM model generation and meta-data integration
4 Using BIM in cost and quantity analyses
5 Project planning – BIM integration and 4D simulation with BIM
6 Clash analyses with BIM and design aiding
7 Application
8 3D Scanning technologies and As-built BIM models
9 Introduction to PIMSS and cloud based project information management software systems
10 PIMSS software and server systems
11 Construction Site Data collection systems
12 Tracking heavy machinery and automating field operations / surveying
13 Internet of Things technology and its uses in civil engineering to increase efficiency and lowering total cost
14 Application
15 Final Exam Period
16 Final Exam Period

Sources

Other Sources 1. Thomas S. Weir, Jamie D. Richardson, David J. Harrington, Mastering RevitStructure 2010, Wiley, ISBN: 978-0-470-52141-0
2. BIM Project Execution Planning Guide by CIC Research Group, Department of Architectural Engineering,The Pennsylvania State University

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Gains adequate knowledge in mathematics, science, and relevant engineering disciplines and acquires the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. X
2 Gains the ability to identify, formulate, and solve complex engineering problems and the ability to select and apply appropriate analysis and modeling methods for this purpose.
3 Gains the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements and to apply modern design methods for this purpose. X
4 Gains the ability to select and use modern techniques and tools necessary for the analysis and solution of complex engineering problems encountered in engineering applications and the ability to use information technologies effectively. X
5 Gains the ability to design experiments, conduct experiments, collect data, analyze results, and interpret findings for investigating complex engineering problems or discipline specific research questions.
6 Gains the ability to work effectively in intra-disciplinary and multi-disciplinary teams and the ability to work individually.
7 Gains the ability to communicate effectively in written and oral form, acquires proficiency in at least one foreign language, the ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Gains awareness of the need for lifelong learning and the ability to access information, follow developments in science and technology, and to continue to educate him/herself
9 Gains knowledge about behaviour in accordance with ethical principles, professional and ethical responsibility and standards used in engineering applications
10 Gains knowledge about business practices such as project management, risk management, and change management and develops awareness of entrepreneurship, innovation, and sustainable development.
11 Gains Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project 1 30 30
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 12 12
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 150