|Kursusnavn (dansk):||B36 Artificial Intelligence in the Marketplace |
|Kursusnavn (engelsk):||B36 Artificial Intelligence in the Marketplace |
|Semester:||Efterår 2013 |
|Udbydes under:||cand.it., e-business (ebuss) |
|Omfang i ECTS:||7,50 |
|Min. antal deltagere:||20 |
|Forventet antal deltagere:||40 |
|Maks. antal deltagere:||40 |
|Formelle forudsætninger:||TBA |
|Læringsmål:||Independently identify, select and combine key theoretical concepts taught in the course, and apply them on real business cases
Explain assess and analyze the main ideas and techniques underlying Artificial Intelligence technologies
Critically evaluate and compare the development and impact of Artificial Intelligence technologies in different business areas
Identify and analyze the strategies and plans of both large and small businesses with respect to Artificial Intelligence technology
Describe and deploy tools for analysis and description of web-based data
Identify and analyze a specific problem which can be addressed by new Artificial Intelligence techniques
|Fagligt indhold:||This course examines new Artificial Intelligence technologies that are rapidly transforming the digital marketplace. One highly publicized example is Watson, IBM’s intelligent question-answering system that recently won the game show Jeopardy!. Another high-profile example is Google Translate, which now translates more text than all the world’s human translators. A few short years ago Artificial Intelligence technology was primarily relegated to the realm of fantasy and science fiction – now it is driving new businesses and technologies in a wide range of areas, such as automatic analysis of social media data, self-driving cars, and automatic translation. We will see that the sudden emergence of successful AI systems involves two key factors: the application of massive computing power, and leveraging the wisdom of crowds.
Facebook, Twitter and similar services are generating an enormous amount of data, covering every imaginable topic in thousands of different languages and styles. Artificial Intelligence is the key that can unlock the information in these massive unstructured collections of data. Students will get hands-on experience with newly developed tools for doing this. We will look at how AI technology is central to the strategies of IT Giants like Google, Microsoft, Facebook, Apple and IBM – and we will look at speculation about how these developments may well accelerate in the near future. A key point is that AI technologies are becoming widely available, with public descriptions and open-source implementations. This means that they are no longer the province of large powerful companies, and we will see how AI technologies are playing an increasingly important role now for many small companies. Students will have an opportunity with hands-on exercises to learn how to access and deploy many of the leading technologies.
|Læringsaktiviteter:||12 forelæsninger og 12 øvelsesgange|
The class combines lectures, discussions and group work. Students will apply the course material in group presentations, and will get hands-on experience in the development, deployment and assessment of computational tools.
|Obligatoriske aktivititer:||Der er ingen obligatoriske aktiviteter. Vær venlig KUN at ændre denne tekst når der er obligatoriske aktiviteter./ |
There are no mandatory activities. Please, change this text ONLY when there are mandatory activities.
|Eksamensform og -beskrivelse:||X. experimental examination form (7-scale; external exam), 7-trins-skala, Ekstern censur|
The duration of the oral exam is 20 minutes.
|Litteratur udover forskningsartikler:||<a href=http://siliconangle.com/blog/2012/04/09/artificial-intelligence-on-the-rise-big-data-mobility-and-search-step-up/>
.Cherr Aira, (2012) Artificial Intelligence On the Rise: Big Data, Mobility, and Search Step Up, siliconangle.com
DeAngelis, S. (2011) Artificial Intelligence and the Era of Big Data, Enterprise resilience blog
Andrew Nusca (2011) Say command: How speech recognition will change the world