Arrangementer

11. December: Celebration of the 50th Anniversary of the SIMULA 67 Programming Language

SIMULA 67, the first Object-Oriented Programming Language, was invented in Oslo in 1967. 50 years ago!
SIMULA 67 introduced Object-Oriented Programming (OOP) as we know it today, including the important concepts of objects, classes, inheritance, and much more. As such, the birth of SIMULA 67 was also the birth of OOP.

Dansk Selskab for Datalogi, Ingeniørforeningen, IDA, and  Dansk Datahistorisk Forening invites you to celebrate the event with a series of talks and a poster exhibition about the language and its influence in the past as well as today.

Time: Monday 11th December 1630
Place: Lille UP1, Universitetsparken 1, 2100 København Ø

Speakers:
The following speakers are confirmed so far:
Professor Boris Magnusson, University of Lund, an early implementor of Simula.
Associate professor Mads Rosendahl, Roskilde University. SIMULA was taught at Roskilde University for about 20 years.
Ole Lehrmann Madsen, professor, Aarhus University, CEO, The Alexandra Institute, co-inventor of the Beta Language. which followed up on Simula 67.

Moderator:
Professor Eric Jul, University of Oslo, co-inventor of the Emerald OOP Language; taught Simula 67 at DIKU in the 1970'ies.

Dansk Selskab for Datalogi, Ingeniørforeningen, IDA, and  Dansk Datahistorisk Forening host a reception after the talks.

Participation is free but we ask you to please register with your membership organization to support our planning. Members of Dansk Selskab for Datalogi can register at this doodle:

https://doodle.com/poll/bxvbpqkgt3r8tt96

The Robots are Here, More to Come: What's Next Manager?

indsendt 21. feb. 2018 06.23 af Jacob Nørbjerg   [ opdateret 21. feb. 2018 06.25 ]

Kim Normann Andersen, professor, Department of Digitalization, CBS
Time: 7. March 2018, 16:30 - 18:00
Place: Copenhagen Business School (exact location TBD)

Abstract. While robot use is increasingly driven by expectations of a radical shift in automation and possible new service tasks, empirical knowledge about the interplay with physical work processes and how key stakeholders describe and react towards robots is sparse.. This talk presents preliminary findings from a study on how managers, workers, and citizen make sense of robots, and how robots are appropriated to fit the purpose and context of end-users. Also, findings from experiments on how workers respond to robot managers are presented.

Kim Normann Andersen is Professor at Department of Digitalization, CBS. He is study program director for the business IT-programs at CBS and was founder of the ebusiness program at ITU (ITH).

Please register to the talk by March 5 on this doodle:

https://doodle.com/poll/97nzg64kpsittaz8


22. marts 2018 Dobbeltforedrag: Komplekse computere og komplekse øl

indsendt 11. feb. 2018 11.58 af Jacob Nørbjerg

Foredragsholder: Professor Brian Vinter, Head of HPC/UCPH

Tid: 22. marts 2018 kl 16.
Sted: Niels Bohr Instituttet, Blegdamsvej 19, 2100  København Ø
Adgang: døren vil være låst, følg instruktionen på døren.

TILMELDING (OBLIGATORISK) senest 19. marts kl 12:00:

 
https://doodle.com/poll/e5979cfqz2k6u9v9


DSfD indbyder til et dobbeltforedrag på Niels Bohr Institutet.

Brian Vinter vil først fortælle om brugen af supercomputere og derefter et foredrag om øl med tilhørende ølsmagning.

Tilmelding til foredraget er nødvendig, da antallet af pladser er begrænset og da ølindkøbet skal afstemmes med antallet af tilmeldte.

Foredragene bliver på engelsk.



Programmering af stadigt større og mere komplekse supercomputere

 

Beregningsdrevet forskning oplever et voldsomt løft ved at supercomputere bliver stadigt større og man kan derfor simulere med stadigt større opløsning eller over længere tid. Samtidigt med at computerne bliver større bliver de stadigt vanskeligere at programmere og det ventes at den første computer der leverer en exaflops vil anvende mere end 100M processor-kerner. Alene udfordringen i at skrive programmer der kører parallelt på millioner af processorer er voldsom, hvis man dertil ligger udfordringer med at optimere hukommelsestilgang og I/O flow bliver opgaven så uoverskuelig at de fleste forskere vil opgive at skrive egne programmer til disse maskiner.

Foredraget vil introducere udfordringerne i og fremtiden for supercomputere, og vil derefter gå videre til at introducere projektet Bohrium ( www.bh107.org ) som er en just-in-time compiler der udvikles i eScience gruppen på Niels Bohr Instituttet, hvis formål er at gøre det muligt for forskere at skrive deres programmer i et høj-produktivitets sprog, typisk Python, og så kunne afvikle dem på supercomputere.

 

 

Indtagelse af stadigt stærkere og mere komplekse øl

 

Tiden hvor en øl aldrig kunne være andet end en pilsner er for længst passeret og alle supermarkeder har i dag et rimeligt udvalg af de mest populære alternativer til pilsneren. I denne ølsmagning vil vi prøve at kommer lidt længere ud i alternative øl. Der vil være en forklaring på øltyper og brygmetoder og anekdoter fra øllets verden.


28. september: Præsentation af de nominerede specialer til specialeprisen 2016

indsendt 8. sep. 2017 13.11 af Jacob Nørbjerg   [ opdateret 13. sep. 2017 01.40 ]

Tid: 28. september 1630-1800

Sted: Copenhagen Business School, Kilevej 14, lokale Ks71.

(OBS: Nyt lokale)

Forfatterne til de nominerede specialer præsenterer deres arbejde:

Silas Nyboe Ørting: Automatic estimation of emphysema extent in low-dose CT scans of the lungs. Datalogisk Insititut KU (Vinder af prisen for bedste datalogispeciale, 2016).

Mikkel Kragh Mathiesen: Infinite-Dimensional Linear Algebra for Efficient Query Processing. Datalogisk Institut, KU.

Thomas Jensen: Global Selections with Fine-Grained Access Control. Datalogisk Institut, KU.

Arni Einarsson: Guidelines for designing immersive videos to support learning activities: Case study of new eyes on the world.
Datalogisk Institut, KU.

Beskrivelser af specialerne kan ses i forårets medlemsblad.

1. juni 2017: Generalforsamling

indsendt 9. maj 2017 23.33 af Hans-Henrik Kaaber

Hermed indkaldes til ordinær generalforsamling Torsdag den 1. juni 2017 kl. 16.00 – ca. 16.30

Generalforsamlingen afholdes på DIKU, Universitetsparken 1, 2100 København Ø, i Auditorium 5 (HCØ, kælderen i bygning E).

Dagsorden i følge vedtægterne (se under Meddelelser).

Umiddelbart efter generalforsamlingen starter aftenens foredrag, hvorefter der er prisuddeling og reception.
Foredraget er i år en dobbeltforelæsning ved Erik Meiling (LinkedIn) og Torben Ægidius Mogensen (DIKU) og handler om programmeringssproget LISP, dets historie og betydning for programmeringssprogenes udvikling.

Faglig dag 2017: An Introduction to Data Science

indsendt 2. apr. 2017 06.55 af Hans-Henrik Kaaber   [ opdateret 20. apr. 2017 02.30 ]

Time: 26 April, 15-17
Place: Auditorium 5, HCØ,  2100 København Ø

At the annual Faglig Dag event we plan to focus on the discipline of Data Science. Three selected speakers will provide an introduction to the subject followed by example applications from their respective domains.
Please note: The presentations will be given in English.

The preliminary program looks as follows:
  • A Short Introduction to Data Science, by assistant professor Fabian Gieseke, DIKU
    The field of data science has gained considerable attention over the past years. One reason for this phenomenon is the fact that the data volumes in various domains have increased dramatically. This is the case, for instance, in astronomy, where current projects produce data volumes in the terabyte range. Upcoming ones will produce such data volumes per day, week, or even per hour. A similar "data flood" can be observed in many other disciplines including medicine, biology, finance, business intelligence, energy systems, or social media. In most cases, the sheer data volumes render a manual analysis impossible. Data science techniques aims at extracting knowledge in an automatic manner and have been identified as one of the key drivers for future discoveries and innovation. The presentation will give a quick introduction to this field and will cover various topics including big data, data science problems, data science workflow, and large-scale data analysis.

  • Business Applications of Data analytics, by assistant professor Raghava Rao Mukkamala, CBS
    This talk is about stop talking about Big Data and start doing Business Data Analytics to create business value. First, we discuss three paradigms for generating competitive advantages and business value from new technologies. Second, we present the Centre for Business Data Analytics' framework for transforming big data sets into business assets by creating meaningful facts, actionable insights, valuable outcomes, and sustainable impacts. Third and last, we present illustrative business cases.

  • Medical Applications of Data Analytics, by professor Mads Nielsen,DIKU
    I will give a short introduction to data science and machine learning and a couple of research examples. How may a data science approach help prognosis of diseases in breast cancer, Alzheimers, arthritis. These will include a brief introduction to deep learning and its application to medical sciences. Then I will focus on some of the bottlenecks of getting this to work in practice in the healthcare sector and potential technical solutions.
Moreover, we hope to present some suggested further readings as well as examples of offered or planned courses on the subject.
For practical reasons, if you expect to participate, please register at Doodle no later than 19 April.

1. juni 2017: Generalforsamling

indsendt 5. feb. 2017 08.14 af Hans-Henrik Kaaber   [ opdateret 26. mar. 2017 23.39 ]

Bestyrelsen varsler hermed om Generalforsamling 2017 som holdes torsdag 1. juni. Indkaldelse med angivelse af tidspunkt, sted og dagsorden følger senere.

NB! Tidligere annonceret som mandag - jeg beklager fejlen /hans-henrik

Driving IT - Fredag den 4. november 2016 - i Ingeniørforeningen

indsendt 24. okt. 2016 12.32 af Niels Christian Juul

Driving IT 2016. Fire spor. 40 talere. En koncentreret årlig vitaminpille for alle IT-professionelle. Arrangeret af IDA IT m.fl.

Driving IT 2016

Hvornår:  4. nov. 2016 KL. 09:00 - 17:30

Hvor: Ingeniørhuset, Kalvebod Brygge 31-33

Tilmeldingsfrist : 30. okt. 2016 - 23:59

Arrangementsnummer: IDA 316812 

Betalingsarrangement ifølge IDA's regler
300 for medlemmer af IDA, 500 for andre, 0 for IDA-studiemedlemmer, 125 for andre studerende,

Tilmelding, program og yderligere oplysninger på arrangementets hjemmeside drivingit.dk

4 parallelle spor:

Privacy / Security:

Privacy / Security-sporet ser på en virkelighed, hvor privatliv, som vi kender det, er ved at forsvinde. Milliarder af sensorer indsamler data. Onlineaktiviteter logges. Hvordan sikres fremtidens ...

Tools:

Tools-sporet er det konkrete spor fyldt med praktisk viden, som du kan gå direkte hjem og bruge. Hvilke værktøjer kan bedst øge kvalitet og hastighed på dit udviklingsarbejde? Hvilke tricks kan au ...

Startup:

På Startup-sporet sætter vi fokus på teknologibaseret iværksætteri. Få inspiration og hør om "engineering in entrepreneurship".

Cool:

Cool-sporet er dedikeret til teknologier og ideer, som endnu ikke har fået deres faste form, men som er … cool.

Kontakt mellem IDA IT og Datalogisk Selskab: Niels Christian Juul (ncjuul@datalogi.dk)

Foredrag: Social Set Analysis: A Set Theoretical Approach to Big Data Analysis

indsendt 21. sep. 2016 11.50 af Jacob Nørbjerg

Tid: Torsdag d. 13. oktober 2016, kl 1630 - 1800
Sted: Lille UP1, Universitetsparken 1, 2100 Ø

Abstract:
Current research projects at the Centre for Business Data Analytics (http://bda.cbs.dk), Copenhagen Business School are addressing an academic research gap and real-world industry need to describe, model, analyse and explain large-scale interactions on organisations’ social media channels as individuals' associations to identities, values, aspirations and ideas. Towards this end, we are developing and evaluating a set-theoretical approach to big data analytics termed “Social Set Analysis” (SSA).  Social Set Analysis consists of three primary research activities: (a) theorising, modelling, and collecting big social data about organisations (e.g., official Facebook page); (b) combining those big social data sets with in-house organisational data sets (e.g., Customer Relationship Management Systems); and finally (c) analysing the combined datasets by applying set theoretical methods and tools (Crisp sets, Fuzzy sets, Rough sets, Random sets and Bayesian sets). This talk will outline the SSA approach, present selected empirical findings, discuss implications and limitations, identify challenges and sketch future research directions.

Bio:
Ravi Vatrapu is a professor of human computer interaction at the Department of IT Management, Copenhagen Business School; professor of applied computing at the Westerdals Oslo School of Arts Communication and Technology; and director of the Centre for Business Data Analytics (#cbsBDA).  Prof. Vatrapu’s current research focus is on big social data analytics. Based on the enactive approach to the philosophy of mind and phenomenological approach to sociology and the mathematics of classical, fuzzy and rough set theories, his current research program seeks to design, develop and evaluate a new holistic approach to computational social science, Social Set Analytics (SSA). SSA models social media interactions as associations to ideas, values and social actors and consists of novel formal models, predictive methods and visual analytics tools for big social data.

Prof. Vatrapu holds a Doctor of Philosophy (PhD) degree in Communication and Information Sciences from the University of Hawaii at Manoa, Master of Science (M.Sc) in Computer Science and Applications from Virginia Tech, and Bachelor of Technology in Computer Science and Systems Engineering from Andhra University.

Tilmelding senest mandag d. 10 oktober her:  http://doodle.com/poll/8msu86viq6ugsv52

24. oktober: Præsentation af de nominerede specialer til specialeprisen 2015

indsendt 7. sep. 2016 02.22 af Jacob Nørbjerg   [ opdateret 9. sep. 2016 03.22 ]

Tid: 24. oktober 1630-1800

Sted: Auditorium 5, HCØ

Forfatterne til de nominerede specialer præsenterer deres arbejde:

Andreas Mathisen & Søren Krogh Sørensen, The Effect of Indoor Positioning Performance on Human Activity Recognition, Datalogisk Institut, Aarhus Universitet (Vinder af prisen for bedste speciale 2015)

Kristoffer Aalund Søholm and Sebastian Paaske Tørholm, Ordered Finite Action Transducers for High-Performance Stream Processing, DIKU

Tony Beltramelli, Deep-Spying: Spying using Smartwatch and Deep Learning, ITU

Hvert af specialerne præsenteres på 20-25 minutter efterfulgt af spørgsmål fra publikum.

Læs om de nominerede specialer i medlemsbladet fra maj 2016.

Generalforsamling og jubilæumsmiddag

indsendt 23. maj 2016 08.28 af Jacob Nørbjerg

Se program i det seneste nummer af medlemsbladet

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