COURSE STRUCTURE& CURRICULUM

Vinay Venkatraman+45 27937963 vinay@idnext.com

50 : 50 DATA SKILLS DESIGN SKILLS

ANALYTICS CONCEPTS

How What

Computer Science Data analysis Algorithms

Design ThinkingJournalism

Politics

YOU WILL GET A UNIQUE TOOLSET that enables an access to diverse data sets and new visions to be able to define the right challenges to work further with.

BIG DATA VIZ ACADEMY main target group is: cutting edge practitioners, designers and computer scientists, product developers, software programmers and data analysts, technical experts, system architects etc.

FOR MANAGEMENT who needs to learn these tools a company needs while working with Big Data to be able to use them in a strategic way.

May 2013

Aug 2013

Oct 2013

Milestones

Timeline

WORKSHOP1

TIMELINE

June 2013

July 2013

Sept 2013

Nov 2013

Dates 27th-31st May

WORKSHOP2

26th-30th Aug

WORKSHOP2

30th Sept - 4th Oct

SHOWCASE

Dec 2013

WED FRI

WEEK PLAN

SEMINAR

WEEK PLAN

MON TUE THU

WORKSHOP

WED FRI

WEEK PLAN

SEMINAR

WEEK PLAN

MON TUE THU

WORKSHOP

KEYNOTES & CASE STUDIES

WED FRI

WEEK PLAN

SEMINAR

WEEK PLAN

MON TUE THU

WORKSHOP

KEYNOTES & CASE STUDIES

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE

WED FRI

WEEK PLAN

SEMINAR

WEEK PLAN

MON TUE THU

WORKSHOP

KEYNOTES & CASE STUDIES

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE FINAL PREZ

WED FRI

WEEK PLAN

SEMINAR

COST

MON TUE THU

WORKSHOP

KEYNOTES & CASE STUDIES

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE FINAL PREZ

5000 DKK

WED FRI

WEEK PLAN

SEMINAR

COST

MON TUE THU

WORKSHOP

KEYNOTES & CASE STUDIES

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE

LECTURE FINAL PREZ

5000 DKK

20,000 DKK 15,000 DKK (students)

Participant Computational Designer

Participant

Participant

Participant

Team 4

Participant Computational Designer

Participant

Participant

Participant

Team 1

Participant Computational Designer

Participant

Participant

Participant

Team 2

Participant Computational Designer

Participant

Participant

Participant

Team 3

Co-ordinator

Database expert

Visualization expert

DAY 1: Keynote lectures from leading experts, demos of various tools, information of teams and technical setup.

DAY 2: Hands on exercises on data structuring, visualization techniques and insight mining.

DAY 3: Creation of dynamic visualizations, static info graphics, brainstorming sessions & discussions

DAY 4: Intro to concept making, brainstorming sessions & discussions

DAY 5: Concept development, final presentations, closing reviews and discussions, team dinner.

The healthcare industry is steadily getting saturated with a lot of smart sensors, diagnostics & monitoring equipment that is generating vast amounts of data. This data today is mainly used for treatment of individuals but the opportunities in using large scale data that is anonymous but still meaningful for healthcare is huge.

HEALTHCARE

Empowering people on the streets with the data and technology possibilities in this domain will see a huge surge in demand and generation of new types of products and services. Design has a critical role to play here in envisioning scenarios of how this might evolve and infusing with inspirational products, interfaces and interaction possibilities.

CLEANTECH & ENERGY

Cities of the future are evolving into a dense network of services that are constantly trying to tackle congestion, traffic, energy and public services in agile and smarter way. A lot of information in this domain is public but we hardly see any new uses for this apart from supporting the existing services offered by municipalities. How do we bring in private companies and individuals to contribute to this space and help municipalities in offering better services?

SMART CITIES

+ many more

GATHERING DATA COOKING DATA SERVING DATA CONSUMING DATA

GATHERING DATA COOKING DATA SERVING DATA CONSUMING DATA

VISUALIZATIONS

EXPLORE SOLUTIONS

GATHERING DATA - WEB SCRAPING 

GATHERING DATA - SENSORS

GATHERING DATA - OPEN DATA SOURCES

COOKING DATA - PARSING

COOKING DATA - ANALYSIS

Simple statistics for data comprehension Mean, standard deviation, variance, co-variance, correlation measures etc

Clustering : k-mean, Principal Component Analysis etc.

SERVING DATA - VISUALIZATIONS FOR CODERS

SERVING DATA - VISUALIZATIONS FOR NON -CODERS

SERVING DATA - DIY SUPER COMPUTING

SERVING DATA - STORY TELLING

CONSUMING DATA - VISUAL DESIGN

THANKS !

Vinay Venkatraman+45 27937963 vinay@idnext.com