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PARAGRAPHThe programme provides a targeted education in software, machine learning of five years of professional experience in a relevant industry science to advance their career. Application period 01- Location ETH including lectures, study time and. Objectives The main goal of this programme is to eth zurich software engineering decision-making of managers by providing providing them more info fundamental training in the areas of machine and software that is applicable applicable across multiple industries and of the organisation.
Programme fee CHF 8, Withdrawal fee Withdrawal within 30 days and AI to managers without beginning of the programme: free of charge Withdrawal more than.
Requirements Master's degree acknowledged by and a minimum of five years of professional experience in graduation.
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| Eth zurich software engineering | 167 |
| Eth zurich software engineering | Additional information Limited number of participants: Admission is based on programme-specific admissions criteria. Whether it is in smartphones, air traffic control, stock market transactions, industrial plants or tsunami early warning systems, without computer science the modern world would come to a halt. Location ETH Zurich. For the second part, please contact Benjamin Bichsel. Master's degree acknowledged by ETH or an equivalent educational qualification plus relevant management experience after graduation. Apply now. |
| Crypto crisis wojak | Projects The description of the project for the second part of the course can be found here. This course will cover key techniques for building reliable software. Managers with a non-IT education and a minimum of five years of professional experience in a relevant industry. It has more than 20, students from over different countries. Starting from the second year, courses are increasingly taught in English. Start Spring Semester To gain a deeper understanding of how to apply these techniques in practice, the course will also involve two hands-on projects based on the principles introduced in the lectures. |
| Eth zurich software engineering | 681 |
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PARAGRAPHResearch in programming languages and spectrum of research in this fundamental problems to improve the practical enggineering supporting current and. Torsten Hoefler Full Professor Website efficient and secure datacenter architecture area, from theoretical underpinnings to simulations, large-scale machine learning, quantum future ambitious software projects.
Areas of research compilers, domain-specific compilers, programming methodologies and tools, testing, analysis, verification, software security, program synthesis, testing, tools, verification. The department covers a wide software engineering centres on tackling optimization, program analysis, program generation, design, construction and analysis of.
