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Artificial Intelligence Methods in Design

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Study	Program	Semester	Course status	ISVU ID
Mechanical engineering	Graduate	2	Elective	210986

Course objective:

The objective of the course is to familiarize the students with modern artificial intelligence methods for application in the field of product design and development. Students will be introduced to the strategies, algorithms, methods and tools for computer synthesis in the design, machine learning and mining of big data at all stages of the development process through independent task solving and project work. Students will gain the knowledge required to work in multidisciplinary engineering teams that develop advanced smart technical systems.

Literature:

1. Gebrail Bekdas, Sinan Melih Nigdeli, ;Elda Yucel: Artificial Intelligence and Machine Learning in Civil, Mechanical, and Industrial Engineering, 2020, ISBN 978-1-79-980301-0
2. Jiawei Han, Micheline Kamber, Jian Pei: Data Mining Concepts and Techniques; Morgan KaufMann Publishers, Elsavier, 2012; ISBN 978-0-12-381479-1
3. Sebastian Raschka, Vahid Mirjalili: „Python Machine Learning: Machine Learning and Deep Learning with Python, sckit-learn and TensorFlow2“, 2019, ISBN 978-1789955750
4. Martin P. Bendsoe, Ole Sigmund: „Topology Optimisation – Theory, Methods and Applications“, Springer, 2004., ISBN 978-3-642-07698-5

Lecturers in charge:

• Nenad Bojčetić
• Mario Štorga

Lecturers:

• Marija Majda Škec - exercises
• Filip Valjak - exercises

ECTS:

4

Schedule:

2+1