COURSE UNIT TITLE

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET AKBULUT

Offered to

Industrial Engineering
Mechanical Engineering
Mechanical Engineering (Evening)
Metallurgical and Materials Engineering
Mining Engineering
Geophysical Engineering
Civil Engineering
Environmental Engineering
Geological Engineering
Civil Engineering (Evening)

Course Objective

To increase the engineering skills of engineering students on the scientific framework by introducing the use of current technologies such as Unmanned Aerial Vehicles (UAV) and to train competent engineers for meeting current requirements of relevant sector.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Main References:
Tal, Daniel, and Jon Altschuld. Drone technology in architecture, engineering and construction: A strategic guide to unmanned aerial vehicle operation and implementation. John Wiley & Sons, 2021.
Garg, P. K. (2021). Unmanned aerial vehicles: An introduction. Mercury Learning and Information.
Valavanis, K. P., & Vachtsevanos, G. J. (Eds.). (2015). Handbook of unmanned aerial vehicles (Vol. 1). Dordrecht: Springer Netherlands.
Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., & Mohammed, F. (2020). Unmanned aerial vehicles applications in future smart cities. Technological forecasting and social change, 153, 119293.
Albeaino, G., Gheisari, M., & Franz, B. W. (2019). A systematic review of unmanned aerial vehicle application areas and technologies in the AEC domain. Journal of information technology in construction, 24.
Berni, J. A., Zarco-Tejada, P. J., Suárez, L., & Fereres, E. (2009). Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on geoscience and Remote Sensing, 47(3), 722-738.
Ahmed, O. S., Shemrock, A., Chabot, D., Dillon, C., Williams, G., Wasson, R., & Franklin, S. E. (2017). Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle. International journal of remote sensing, 38(8-10), 2037-2052.
Turner, D., Lucieer, A., & Watson, C. (2011, April). Development of an Unmanned Aerial Vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imagery. In Proceedings of 34th International symposium on remote sensing of environment (Vol. 4).
Nishar, A., Richards, S., Breen, D., Robertson, J., & Breen, B. (2016). Thermal infrared imaging of geothermal environments by UAV (unmanned aerial vehicle). Journal of Unmanned Vehicle Systems, 4(2), 136-145.
Ma, Y., Wu, X., Yu, G., Xu, Y., & Wang, Y. (2016). Pedestrian detection and tracking from low-resolution unmanned aerial vehicle thermal imagery. Sensors, 16(4), 446.
Casas-Mulet, R., Pander, J., Ryu, D., Stewardson, M. J., & Geist, J. (2020). Unmanned aerial vehicle (UAV)-based thermal infra-red (TIR) and optical imagery reveals multi-spatial scale controls of cold-water areas over a groundwater-dominated riverscape. Frontiers in Environmental Science, 8, 64.
Yakar, M., Ulvi, A., Yiğit, A. Y., & Hamal, S. N. G. (2022). Insansız Hava Aracı Uygulamaları Agisoft-Metashape. Mersin Üniversitesi Harita Mühendisliği Kitapları.
Yavuz, G. (2019). Açık maden işletmelerinde insansız hava aracı (IHA) uygulamaları. Türkiye Jeoloji Bülteni, 62(1), 99-112.
Villi, O., & Yakar, M. (2023). Insansız Hava Araçları ve Coğrafi Bilgi Sistemleri Uygulamaları. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 5(1), 20-33.
Additional References:
https://www.indexdatabase.de/
Other course materials: DJI Phantom 4 Multispectral and DJI Matrice 30 T unmanned aerial vehicles. Additional References:

Planned Learning Activities and Teaching Methods

1. Lecture/Presentation
2. Team Work Projects / Projects will be submitted in the form of a presentation and will be presented by the group in the relevant lecture hour.
3. Open source evaluation exam

UAV applications, terms, tools and equipment to be used with face-to-face and/or distance learning are introduced and basic concepts are transferred to the students through presentations within the framework of learning outcomes. Data sets from different fields that are collected with UAVs are distributed to the students for team work and the student teams give presentations each week during the course. The student achievement level is measured with an evaluation exam open to access to documents, projects and resources.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

A Project score is determined from the teamwork presentation. Presentations are submitted at the end of the course in which the presentation is made. Midterm and final exams are evaluated with various question types.

Language of Instruction

Turkish

Course Policies and Rules

Team work is essential

Contact Details for the Lecturer(s)

Doç. Dr. Mehmet AKBULUT makbulut@deu.edu.tr / 0 232 301 73 49
Öğr. Gör. Dr. Semih ESKI: semih.eski@deu.edu.tr / 0 232 301 73 17

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes