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Master students at DIKU have a unique opportunity to do a project in collaboration with Saxo Bank this fall.
You will be working in groups with students from CBS and ITU. The teaching in the project will mainly consist of workshops. The project work takes place in block 1 and 2, 2012, and is considered an "optional, non-course project, 15 ECTS credits” in the Curriculum for the MSc in Computer Science (http://www.science.ku.dk/english/students/curricula/msc_in_computer_science.pdf/).
Exam: the project concludes with an individual oral defense, and is graded internally as pass/fail.
You can work with one of two cases:
Case 1) Generation Z
Areas to explore: How do games and social networks impact the trading and investment world of tomorrow? And Traditional experts versus peers – how will technology help change the existing business model?
Case 2) Changing banking and investment patterns and methods
Area to explore: Trading is a complex art to master – from a client perspective, describe how emerging technologies will help people become better traders and investors.
For a full description of the two projects, see below.
Send your application to DAFIT-coordinator at DIKU Stephen Alstrup, email@example.com. Application deadline is June 14th 2012. The application must contain a maximum of 150 words describing relevant interests and skills.
There are only 4 openings and it is therefore recommended that you also enroll at another course at DIKU and deregister if you get a place in this project.
Case 1: Generation Z
Generation Z is here, and having grown up with lifelong use of communication and media technologies, they are digital natives. How does this change the financial industry? Especially, when taking into consideration that this generation turns to peers for expert advice, spend considerable time on gaming and social networks, and have a natural ability to seek and find information.
How do games and social networks impact the trading and investment world of tomorrow? Develop a software prototype that illustrates how a bank can attract and educate clients in their services, using the learning’s from games and interacting with social networks.
Traditional experts versus peers – how will technology help change the existing business model? A bank has identified a double opportunity, in both attracting and retaining clients by supplying them peer advice, and saving significant on maintaining staff of traditional experts – they are looking for a software prototype for how such a platform would look, tying their existing and coming clients into their services.
Develop/design an underlying platform that will allow a financial institution to launch and grow their client base via “Referral Sales”, acknowledging that this channel will become one of the most powerful going forward. The platform should cater for flexibility in how to reward the Referrer within different jurisdictions, as well as support tracking the performance of the referrer and referee. It should support a flexible interface for how to introduce / start the journey (paper-based, fairs, banners, email etc).
Case 2: Changing banking and investment patterns and methods
Phone, paper, books, spreadsheets and traditional keyboards coupled with years of experience. These are the tools of the trade for most people, when conducting their bank activities or engaging in their own trading and investment. More and more technologies have matured to a level where they are now finding their way into this space. Eye-tracking, pulse-registration, body temperature and breathing – all this human factors are signals of your state of mind, and thus determine how well suited you are to trade, at a certain time. Advanced visualization, vast experience from gaming universe and better understanding of how to motivate learning are also possible options for the industry, to attract and maintain their clients.
Trading is a complex art to master – from a client perspective, describe how emerging technologies will help people become better traders and investors. Describe/develop the basic staging ground that will allow clients to interact with their investment platform, supplying them additional decision parameters, based on one or more of the following technologies – heart rhythm, eye monitoring, temperature, breathing. Each of these should provide the users with basic understanding of the correlation between the body signals and their respective trading pattern.