Informatics

# Overview

Blockchain is on everyone’s lips ‒ not least because the Crypto Valley stretching from Zug to Zurich is one of the global centres for this technology. But what is the story behind the new «Internet of Value»? What can this technology already do? What are its strengths, weaknesses, risks and areas of potential?

The CAS in Blockchain at the University of Zurich looks at these questions and in doing so addresses the topic at a uniquely wide-ranging level: computer scientists, lawyers, economists and financial specialists from the University of Zurich have joined forces to teach participants the technical basics as well as provide  them with legal tools and economic knowledge about the applications. In doing so, they are able to call on first-hand experience from academic blockchain projects, consulting activities and company start-ups.

# T﻿arget Audience

Professional practitioners who want to receive an in-depth insight into the various facets of Blockchain technologies and gain an edge in knowledge based on relevant research findings.

# Admission Criteria

University degree at master’s level or an equivalent qualification as well as basic knowledge in the fields of IT, law and economics.

Duration

Language

Costs

This course for industry leaders is taught by professors from a variety of academic disciplines.

CAS in Blockchain

## T﻿arget Audience

Individuals with a university degree who have already been working in the financial industry for several years and have an interest in information technology as well as a basic understanding of business administration, economics or law and would like to gain a sound insight into the financial market- relevant forms of activity of blockchain technologies.

## S﻿tructure

The study programme is divided into 3 modules:

* Module 1: Blockchain Regulation (4 days)
* Module 2: Technical approach to Crypto Compliance (3 days)
* Module 3: Blockchain Forensics (4 days)

## P﻿rerequisites

University degree at bachelor’s level or an equivalent qualification as well as basic knowledge in the fields of computer science.

ECTS

This program provides insights into blockchain regulation and blockchain forensics as well as a a technical approach to crypto compliance.

CAS in Crypto Compliance

## T﻿arget Audience

People holding a university degree and possessing a background in computer science, who are eager to gain a sound insight into the various facets of generative AI.

## S﻿tructure

The study programme is divided into three modules:

* Generative Language Models (3 days) 
* Generative AI beyond Language Models (3 days)
* Management, Ethics, and Applications (4 days)

## P﻿rerequisites

University degree at bachelor’s level or an equivalent qualification as well as basic knowledge in the fields of computer science.

## M﻿ore information...

... is available upon request: tolcachier@ifi.uzh.ch

The program provides an in-depth insight into the various facets of generative AI.

CAS in Generative AI

Wichtig scheint im Umgang mit Hype-Technologien, nicht einfach nach neuen Anwendungen zu suchen. Vielmehr sollte umgekehrt gefragt werden, ob uns die Blockchain nicht helfen kann, ein definiertes Problem zu lösen. Darum fokussiert sich das Blockchain Center der Universität Zürich darauf, die spezifischen Eigenschaften dieser Technologie auch in der Weiterbildung zu vermitteln. Es werden Bausteine geschaffen, die helfen, die Blockchain für praxisnahe Anwendungen zu nutzen.

When dealing with hype technologies, it seems important not to simply look for new applications. Rather, we should ask whether blockchain can help us solve a defined problem. That is why the Blockchain Center at the University of Zurich focuses on communicating the specific characteristics of this technology in continuing education as well. Building blocks are created that help to use the Blockchain for practical applications.

Die Grenzen künstlicher Intelligenz sind vielfältig und hängen von unterschiedlichen Faktoren ab. Einige der wichtigsten Grenzen sind etwa die Unfähigkeit, moralische Entscheidungen zu treffen; die Schwierigkeit, echte Emotionen oder menschliche Kreativität zu erreichen; das Fehlen eines kontextuellen Verständnisses; Schwierigkeiten beim Verständnis menschlicher Interaktionen sowie Einschränkungen bei der Fähigkeit zur Selbsterkenntnis. Die Forschung zu KI schreitet jedoch ständig voran, weshalb einige dieser Grenzen in Zukunft überwunden werden könnten. Im CAS Generative AI wird dieser und ähnlichen Fragen auf den Grund gegangen.

The limitations of artificial intelligence are manifold and depend on various factors. Some of the main limitations include the inability to make moral decisions; the difficulty of achieving true emotion or human creativity; the lack of contextual understanding; difficulties in understanding human interactions; and limitations in the ability to self-awareness. However, research on AI is constantly progressing, so some of these limitations may be overcome in the future. The CAS Generative AI explores these and similar issues.

Executive Education
Faculty of Business, Economics and Informatics

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Continuing Education in the Field of Informatics

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Your search yielded no result

What drives our curiosity in this area? Ask boldly.

Will Blockchain be able to do something for me?

Where are the limits of artificial intelligence?

And what is your question?

Tamar Tolcachier

My Continuing Education

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