1. FALL 2007 DIANNE HANSFORD CPI 101: Introduction to Informatics Sumber dari : http://www.farinhansford.com/dianne/teaching/cpi101/materials/CPI101- IntroLecture.ppt. http://www.farinhansford.com/dianne/teaching/cpi101/materials/CPI101- IntroLecture.ppt

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 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!’

12. 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.

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 http://www.informatics-schools.org/ppt.php?page=1 ‘Champing at the Bits’, Nature March 2006