Tino Stankovic: Catalogue data in Autumn Semester 2018 |
| Name | Dr. Tino Stankovic |
| Name variants | Tino Stankovic Tino Stanković |
| Address | Chair in Engin. Design & Computing ETH Zürich, CLA F 21.2 Tannenstrasse 3 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 54 06 |
| tinos@ethz.ch | |
| URL | http://www.edac.ethz.ch/ |
| Department | Mechanical and Process Engineering |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 151-0062-10L | Engineering Tool: Computer-Aided Design Methods  All Engineering Tool courses are for MAVT-Bachelor students only. Number of participants limited to 25. Only one course can be chosen per semester. | 0.4 credits | 1K | T. Stankovic, K. Shea | |
| Abstract | Participants will learn about the Computer-Aided Design fundamentals and methods that are necessary to model complex technical products. The focus will be placed on feature-based and parametric modelling that is common to all modern CAD tools used in mechanical engineering design. | ||||
| Learning objective | CAD knowledge and skills will be further developed to enable students to recognize both the advantages and the limitations of current Computer-Aided Design tools. Examples of how to build feature-based and parametric models including design automation will be given along with common pitfalls. After taking the course students should be able to independently create effective feature-based and parametric models of mechanical parts. | ||||
| Content | 1. CAD Methods and Feature-Based Design (2 afternoons): * CAD in the context of the design process * Feature types and their relation to mechanical design * Strategies for building feature-based assemblies * Integration of digital part libraries * Common issues and difficulties with feature interaction 2. CAD and Parametric Modeling (1 afternoon): * Designing and building parametric models * Design automation to create design variants * Common issues and difficulties with parametric modelling | ||||
| Lecture notes | available on Moodle | ||||
| 151-3209-00L | Engineering Design Optimization Number of participants limited to 47. | 4 credits | 4G | K. Shea, T. Stankovic | |
| Abstract | The course covers fundamentals of computational optimization methods in the context of engineering design. It develops skills to formally state and model engineering design tasks as optimization problems and select appropriate methods to solve them. | ||||
| Learning objective | The lecture and exercises teach the fundamentals of optimization methods in the context of engineering design. After taking the course students will be able to express engineering design problems as formal optimization problems. Students will also be able to select and apply a suitable optimization method given the nature of the optimization model. They will understand the links between optimization and engineering design in order to design more efficient and performance optimized technical products. The exercises are MATLAB based. | ||||
| Content | 1. Optimization modeling and theory 2. Unconstrained optimization methods 2. Constrained optimization methods - linear and non-linear 4. Direct search methods 5. Stochastic and evolutionary search methods 6. Multi-objective optimization | ||||
| Lecture notes | available on Moodle | ||||