FALL 2007 DIANNE HANSFORD CPI 101: Introduction to Informatics Sumber dari : IntroLecture.ppt. IntroLecture.ppt

What is Informatics? Study of how information is collected, stored, manipulated, classified, organized, retrieved, visualized,.... How does it differ from > Information Technology? > Information Science? > Computer Science?

Origins of ‘Informatics’ 1962 France: Phillipe Dreyfus, a French information system/software pioneer Combination of “information” and “automatic” “tic” in Greek = “theory” 1962 US: Walter Bauer founded a company named Informatics. Today Europe: “Informatics” = Computer Science Today US: widely used in application contexts: medical informatics, chemical informatics, bioinformatics

Importance Every day we are touched/influenced by informatics  , Google, YouTube, Blogs, FaceBook, Travelocity, GPS systems, iTunes, Univ. Resgistrar, ! data-centric world  new data acquisition devices  everyone is creating content data  information  knowledge  key to advances in science, engineering, medicine,...

‘Tools for...’ Approach People & systems view of informatics Tools for  memory,  routine activity,  modeling, inference, and visualization,  decision making and problem solving  communication, networking, and interaction Still a combination of how information is collected, stored, manipulated, classified, organized, retrieved, visualized

No escape now! Data keeps coming  data acquisition tools  everyone publishes People with needs and hunger for tools Systems encapsulate functionality Result: Tools for.... Informatics!

Central Goal of Informatics: Data  Information  Knowledge Data acquisition explosion  {Remote} sensing/scanning technologies, motes,....  Automated data collection  Biology: Experiments can collect 1 Gigabyte (GB) / day (10^9 bytes)  Astronomy: 1 Terabyte / day (10^12 bytes) Information  Automated “curation” of data  Store, organize, manipulate, retrieve Knowledge  Automation of hypothesis formation & experimentation: “machine learning”  Working on this! Informatics delivers this process as a system

Flood of Information Study estimated that all phone calls in 2002 contained about 17 exabytes (EB) of new information  1 exabyte = 1 billion GB  good luck FBI! All conversation ever had by human beings (saved as text) = 5 EB (maybe) Huge gap in data aquisition and information  knowledge capacity

Example: Bioinformatics Unprecedented access to biological data  data acquisition Managing biological databanks with numerous contributors and users  store, organize, networks Extracting useful information from large and dense biological data  manipulate, visualize Assembling molecular pieces into predictive models of biological systems for in silico experiments  modeling, inference  scientific computing: multiprocessor, faster processors

Informatics as the Bridge Connects people through IT to discipline (domain) areas Focus on applications: use of highly sophisticated applications and development of new applications, designed so people can use them Brings us back to the ‘Tools for...’ structure of course!

Building the Bridge Human-Computer Interaction (HCI) HCI design is key to building this bridge (Cognitive) psychology an important field of work for creating tools that make us  efficient  creative  able to envision better computational tools But... fundamental computer science research is important too `It takes all types!’

Humans Computers (Need for a Bridge) slow prone to error irrational emotional inferential random unpredictable ethical intelligent fast! error-free (sort of) deterministic apathetic literal sequential (mostly) predictable amoral stupid (mostly) Caveat: This is a bit of a hyperbole to make the point.

Informatics Certificate CPI 101: Overview of courses to com  Experience with ‘Tools for’  Breadth rather than depth CPI 200: “Computational Thinking” Next level  CPI 410 Tools for storing, organizing, retrieving  CPI 460 Tools for problem solving, decision-making Elective – choose one  From given list or from your degree program Website:

References Wikipedia Mike Dunn, School of Informatics, Indiana Univ. ‘Champing at the Bits’, Nature March 2006