Www.informatics.uiuc.edu Computer & Information Science & Engineering – What’s All This? Marc Snir July 2008.

Slides:



Advertisements
Similar presentations
Standards Alignment A study of alignment between state standards and the ACM K-12 Curriculum.
Advertisements

Assessment of Undergraduate Programs Neeraj Mittal Department of Computer Science The University of Texas at Dallas.
GENI: Global Environment for Networking Innovations Larry Landweber Senior Advisor NSF:CISE Joint Techs Madison, WI July 17, 2006.
May 14, May 14, 2015May 14, 2015May 14, 2015 Azusa, CA Sheldon X. Liang Ph. D. Software Engineering in CS at APU Azusa Pacific University, Azusa,
Reinventing the Polytechnic Zvi Szafran – Vice President of Academic Affairs Jeff Ray – Dean, Engineering Technology and Management.
UNIVERSITY OF SOUTH CAROLINA Department of Computer Science and Engineering CSCE 190 Computing in the Modern World CSE Curricula Fall 2014 Marco Valtorta.
Network of Excellence in Internet Science 3 rd EINS Summer School Volos, July 2014 Anna Satsiou (CERTH) FP7-ICT EINS Network of Excellence.
John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE tech 1 # Ca Universal laws and architectures: Theory and lessons from.
ASU – One University in Many Places Overview of the Transitional Design to 21 st Century Excellence.
Introduction to Computer Science CS 21a: Introduction to Computing I Department of Information Systems and Computer Science Ateneo de Manila University.
LSI UPC Barcelona The Future of Quality University in Informatics (Panel contribution – revised) Jan van Leeuwen Utrecht University Informatics.
What is Software Engineering? And why is it so hard?
The Education of a Software Engineer Mehdi Jazayeri Presented by Matthias Hauswirth.
Computer Science: An Overview Dr. Christian Skalka.
STEPPING STONE PROJECT STEPPING STONE PROJECT designing a new engineering discipline presented by team 1.
© 2003 Turoff 1 The Nature of Information Systems and Employment in IS Murray Turoff Information Systems Department.
Conceptual Modeling of the Healthcare Ecosystem Eng. Andrei Vasilateanu.
CS 1 with Robots CS1301 – Where it Fits Institute for Personal Robots in Education (IPRE)‏
BPT 3113 – Management of Technology
1 Hochschule Esslingen Business Administration International Industrial Management(B.Sc.) Industrial Management/Automotive Industry (B.Sc.) Innovation.
David L. Spooner1 IT Education: An Interdisciplinary Approach David L. Spooner Rensselaer Polytechnic Institute.
© Heikki Topi Computing and University Education in Analytics ACM Education Council San Francisco, CA November 2, 2013 Heikki Topi, Bentley University.
IT Professional Perspectives, Discussions, and Recommendations Steven K. Wall IT7833 IT Strategy, Policy and Governance.
Engineering & Physical Sciences Research Council.
Technology Education Proposed Standard Course of Study Presented by Brian Moye.
Information Technology
Introduction to Computer and Programming CS-101 Lecture 6 By : Lecturer : Omer Salih Dawood Department of Computer Science College of Arts and Science.
Taylor Trayner. Definition  Set of business processes developed in an organization to create, store, transfer, and apply knowledge  Knowledge is a firm.
CS 21a: Intro to Computing I Department of Information Systems and Computer Science Ateneo de Manila University.
School of Management & Information Systems
CBP 2006MSc. Computing1 Modelling and Simulation.
Research at Department of Computer and Systems Sciences – DSV.
ABET’s coming to Rose! Your involvement Monday, Nov 5, 2012.
A. Educational Technology B. Goals of Educational Technology C. Definition of Educational Technology from different perspective.
A Sustainable Cultural Infrastructure for Valletta Davinia Galea 6 November 2010.
UNIVERSITY OF SOUTH CAROLINA Department of Computer Science and Engineering CSCE 190 Careers in Computer Science, Computer Engineering, and Computer Information.
[ §3 : 1 ] 2. Life-Cycle Perspective Overview 2.1 Motivation 2.2 Waterfall Model 2.3 Requirements in Context.
Automata, Computability, and Complexity Lecture 1 Section 0.1 Wed, Aug 22, 2007.
Lecture on Computer Science as a Discipline. 2 Computer “Science” some people argue that computer science is not a science in the same sense that biology.
Informatics Achievements and Objectives. Key Facts We lead the UK in research (according to the UK Research Assessment Exercise we have 69% more top rated.
IT Education in Serbia Prof. Dr. Ivan Milentiejvic
Master of Science in Biological Informatics PROGRAM DESCRIPTION The MS in Biological Informatics program program aims.
2 nd G2G Technical Seminar – May 2013 FORECASTS ON RESEARCH IN ENGINEERING DESIGN THEORY, TOOLS AND METHODOLOGY AND ITS IMPACT ON PRODUCT DESIGN AND ENGINEERING.
Marv Adams Chief Information Officer November 29, 2001.
Cognitive Science and Biomedical Informatics Department of Computer Sciences ALMAAREFA COLLEGES.
Computer Science in Context Evangelos E. Milios Professor and Graduate Coordinator Faculty of Computer Science Dalhousie University.
Nursing Informatics NI.
Overview: Software and Software Engineering n Software is used by virtually everyone in society. n Software engineers have a moral obligation to build.
1 WORKSHOP ON RESULTS OF IMPLEMENTATION OF COMPUTER SCIENCE EDUCATION Innovation of Computer Science Curriculum in Higher Education TEMPUS project CD-JEP.
SOFTWARE ENGINEERING. Objectives Have a basic understanding of the origins of Software development, in particular the problems faced in the Software Crisis.
Introduction to HCI Lecture #1.
Chapter 1 Introduction Introduction Basic definitions
Pengenalan Ilmu Komputasi. Computational Science??
Biomedical Informatics and Health. What is “Biomedical Informatics”?
CS 1 with Robots CS1301 – Where it Fits Institute for Personal Robots in Education (IPRE)‏
State and Future of Computing Mary Lou Soffa
Mechanical & Manufacturing Engineering Program
A framework for Web science didactics michalis vafopoulos
SIMULATION SIMULAND PURPOSE TECHNIQUE CREDIBILITY PROGRAMMATICS
Chapter 1 Introduction Introduction Basic definitions
The State of CS in the US as seen from Illinois.
Ambient Intelligence.
Jan van Leeuwen Utrecht University Informatics Europe
What are your Career Options?
Overview: Software and Software Engineering
“Asobi 遊び” Educational roles of the next generation digital contents that pioneer possibilities of new media 新たなメディアの可能性を拓く次世代デジタルコンテンツの教育的役割 Examination.
CS1301 – Where it Fits Institute for Personal Robots in Education
CS1301 – Where it Fits Institute for Personal Robots in Education
CS1301 – Where it Fits Institute for Personal Robots in Education
Computer Science Dr Hwang Chair, Computer Science Department
Presentation transcript:

Computer & Information Science & Engineering – What’s All This? Marc Snir July 2008

1 Computers are Becoming a Necessary Extension of our Brain  Extend our cognitive capabilities: Captures, stores, communicates and analyzes massive amounts of information  Extend our senses: Increasingly mediates our interactions with the physical world and with other people  Change our perception of the world: create new virtual worlds (simulation; games) that enhance or replace reality; abolish distances in time and space.  Create a new economy of intangibles: most investment is in intangibles; IP has become main “means of production”; you may not believe it, but world consumes less oil per unit of product. This is more significant than the industrial revolution that merely extended our physical capabilities And it has just started: it will be done when “brain- thought” becomes as quaint as “hand-made”

Computing & Information Science & Engineering Order, Family or Genus? 2 SE CE CS IS IT MIS LIS X-Informatics X= astro, bio, business, chem, community, eco, geo, health, medical, social… X= art, media, games Engineering Science Professional

Some Views  “Computer Science is no more about computers than astronomy is about telescopes” (Dijkstra)  “Computer Science meets every criterion for being a science, but has a self-inflicted credibility problem.” (Denning)  “Any discipline with 'science' in the name isn't.” 3

Closer to (Hyper)reality  Engineering: The Science of Building Useful Stuff Using Science (i.e., applying Applied Science to applied technology)  Mathematics: Physics of Hyperreality  Computer Science: Engineering of Hyperreality  Computer Engineering: Combination of the Engineering of Hyperreality (architecture, software, architecture-level hardware) with the Engineering of Reality (physical-level hardware).  Computer Programming: Construction work to implement Computer Engineering. Jonathan Quince 4

Engineering: Building a Better Mousetrap 5 Mousetrap Science Mousetrap Engineering Catches more mice Cheaper to manufacture More robust Safer … Physics Biology How Why

6 Sep-15 What is Engineering Research? Alternative View Quest for fundamentals Concern with use Edison Bohr Pasteur Medicine, engineering

Engineering: A Modern View 7 Mousetrap Science Mousetrap Engineering Physics Biology Department of Mousetrap Science and Engineering (MSE) Foundational sciences: Sources of constraints on mousetrap design

Engineering: A Modern View 8 Material Science Material Engineering Physics Biology Department of Material Science and Engineering (MSE)

Information and Computation Engineering 9 I&C Science I&C Engineering ? Department of Computer Science

Information and Computation Engineering 10 I&C Science I&C Engineering Mathematics Department of Computer Science is about building better sw widgets Software, algorithms or protocols are mathematical artifacts Time/space complexity are mathematical abstractions

“Classical” Computer Engineering 11 Computer Science Computer Engineering Mathematics Physics Department of Computer Engineering

“Modern” Computer Engineering 12 Computer Science Computer Engineering Mathematics Social Sciences Psychology, Sociology, Economics, Law… Department of ?? Constraints come from human in the loop (user, programmer) Many constraints are not mathematized

“Modern” Computer Engineering 13 Mathematics Social Sciences Department of ?? Sciences Humanities Arts Business Constraints Application Domains Products CS is malleable – Affected by apps

Computer and Information Science and Engineering  Engineering of mathematical artifacts that enhance our cognitive capabilities  Constrained by –Mathematics –Constraints of the human in the loop –Needs of applications  Quite different from “physics driven engineering” –Strong background in social sciences needed for HCI, social computing, software engineering… –Background in application area needed for applied informatics 14

How Should CISE be Organized, Academically?  CS+ECE – focus of “old” CSE Department  “New” Computer & Information School: –“Hard CS” – mathematized systems (CSE) –“Soft CS” – human in the loop (CS+Social Sciences)  May require qualitative science –IS – data organization and retrieval –Applied informatics – impact of applications 15

First Approach:  “Natural” clusters 16

society users interfaces services operating systems networks hardware applications COMPUTER SCIENCE COMPUTATIONAL INFORMATICS SOCIAL COMPUTING COMPUTER ENGINEERING INFORMATION ANALYSIS data analysis life-sciences applications LIFE-SCIENCES INFORMATICS [M. Pollack]

Second Approach: Professional Specialization 18 [D. Morello]

Third Approach: Everything Goes  Georgia Tech: 2 (out of 8) threads, one role  Threads: –Computational modeling, Embodiments, Foundations, Information Internetworks, Intelligence, Media, People, Platforms  Roles: –Master practitioners, Entrepreneurs, Innovator, Communication 19

Organization Principles  Internal: –Common core – CS fundamentals  A must if we believe we are one discipline –Secondary split according to  fundamental sciences needed: physics, discrete math, cognitive science, sociology, economy, biology…  Professional formation: computer engineer, software engineer… –Tension between the two organizing principles  External: –Overall responsibility for teaching/propagating computational thinking on campus (the paradigm of computing and information system used to understand natural or social systems) 20

21 The Information World  New flat, flexible, dynamic, reflexive, intelligent, distributed virtual organizations  Free and open access to information  Ambiguous relations between agents: competitor/partner, academic/commercial/artistic, teacher/student/partner  “Pull”, not “push”  Radically Changes the Information Economy  Except academia – IT is the main tool for improving the productivity of services – IT increases productivity when processes are changed – How should we change the University processes?

22 Informatics at Illinois  Illinois Informatics Institute: –Takes a broad view of informatics, to encompass all of CISE  But does not aim to replace or constrain existing units –Attempts to maintain strong interaction between research, education and technology services

23 Dimensions  Intellectual Scope: broad definition of informatics  Culture: The boundary breaking Internet culture  Cultural impact: aims at infecting departments with the Internet culture  Short term research and education scope: see next  Infrastructure: virtual organization “without walls”, and with no faculty lines (can move fast and can afford to fail)  Organization: participation is voluntary Model is unique and distinct from emerging schools of information – will test our ability to work across boundaries; if successful, will have broader impact

Summary  IT is changing the world  CISE researchers should be at the forefront of this change  This is not only (not mainly) an about what we teach and research, but also about how we teach and research and how we organize to do so 24

25 Thank You!