1 / 14

CPI 101: Introduction to Informatics

CPI 101: Introduction to Informatics. Fall 2007 Dianne Hansford. 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?.

ulric-stone
Download Presentation

CPI 101: Introduction to Informatics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CPI 101:Introduction to Informatics Fall 2007 Dianne Hansford

  2. 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?

  3. 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

  4. Importance • Every day we are touched/influenced by informatics • Email, 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, ...

  5. ‘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

  6. 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!

  7. 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

  8. 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

  9. 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

  10. 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!

  11. Building the BridgeHuman-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!’

  12. 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) Humans Computers(Need for a Bridge) Caveat: This is a bit of a hyperbole to make the point.

  13. 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: http://sci.asu.edu/undergraduate/informatics_cert.php

  14. References • Wikipedia • Mike Dunn, School of Informatics, Indiana Univ.http://www.informatics-schools.org/ppt.php?page=1 • ‘Champing at the Bits’, Nature March 2006

More Related