3. Administrivia
Check course outline!
Academic technologies 4/2/12
Group Assignment #2 due today at 10AM
from every group member
Assignment #7A (security & jobs.html)
due at 10AM on Thursday 3/15/12
Monday 3/19/12 – Career Fair
4. IT News
What's going on in Austin, TX?
– SXSW & "social discovery" tools
• Highlight
• Sonar
Kony & Slacktivism
New iPad
March 12, 1923
5. What is Web 2.0
Web 1.0 --- Web 2.0
DoubleClick--> Google AdSense
Ofoto--> Flickr
Akamai--> BitTorrent
mp3.com--> Napster
Britannica Online--> Wikipedia
personal websites--> blogging
evite--> upcoming.org and EVDB
domain name speculation--> search engine optimization
page views--> cost per click
screen scraping--> web services
publishing--> participation
content management systems--> wikis
directories (taxonomy)--> tagging ("folksonomy")
stickiness--> syndication
http://oreillynet.com/lpt/a/6228
7. What is Web 3.0
Who gave the WEB numbers?
Web 3.0 is the Semantic Web (Tim Berners-Lee)
– Machines readable web pages
– Personal search engines
Are we there yet?
– Cisco
– Cloud Computing
– Access/Data everywhere
8. Critical Questions
Given the large number of choices and the
rate of new innovations in IT:
– How are you using information technology (IT)
today in your firms and businesses?
– How successful has this been for your firm?
– Do you have problems that are still unresolved
with Information Technology?
9. Critical Questions
Given the large number of choices and the
rate of new innovations in IT:
– What is Competitive Advantage?
– Can IT give competitive advantage, anyway?
– How can one identify which technologies will
best give strategic advantage?
– Does TECHNOLOGY give you a competitive
advantage?
10. Critical Questions
What is the role of IT in the business?
Is IT a tool, a strategic investment, a
technology option, a competitive
advantage?
Who makes technology decisions?
What is the time frame?
12. Types of IT Systems
ORGANIZATIONAL LEVEL
TYPE OF
DECISION OPERATIONAL KNOWLEDGE MANAGEMENT STRATEGIC
STRUCTURED ACCOUNTS
RECEIVABLE
ELECTRONIC PRODUCTION
SCHEDULING COST OVERRUNS
TPS
OAS MIS
SEMI- BUDGET
STRUCTURED PREPARATION
PROJECT
DSS
SCHEDULING
FACILITY
LOCATION ESS
KWS
UNSTRUCTURED
PRODUCT DESIGN NEW PRODUCTS
NEW MARKETS
13. Information Models
WISDOM
Understanding, applying
Applying with compassion
Increasing
complexity
KNOWLEDGE
Interpreting, integrating
understanding
INFORMATION
Organizing,
Interpreting
DATA
Naming, collecting,
organizing
Blum, 1986 Nelson, 1989
17. Systems Development Life Cycle (SDLC)
• Systems development life cycle (SDLC)
• a structured step-by-step approach for developing
information systems
• Typical activities include:
• Determining budgets
• Gathering business requirements and user needs
• Designing models
• Writing user documentation
18. Systems Development Life Cycle (SDLC)
1. Planning
2. Analysis
3. Design
4. Development
5. Testing
6. Implementation
7. Maintenance
19. Waterfall
a sequential, activity-based
process
Success rate is only about 10% (does not
handle uncertainty of and creativity often
required in complex software development
projects)
Assumes users can specify all business requirements in
advance
– The only constant is change – need feedback and reiteration
– In large projects that take extended periods of time, the business
problem and or technology may have changed so much as to
invalidate the original plan
21. Rapid Application
Development (RAD)
Focus initially on developing a prototype
Actively involve system users in the
analysis, design and development phases
Accelerate the collection of business
requirements through an interactive and
iterative construction approach
22. Extreme Programming (XP)
breaks a project into tiny phases and developers
cannot continue on to the next phase until the first
phase is complete
– Individually, the pieces make no sense until they
are combined together- much like a jigsaw
puzzle
– Difference with the waterfall is that XP divides
its phases into iterations
Agile methodology is a form of XP; break project
into smaller projects and deliver on each
separately
25. Business Drivers
Business changes are faster
Role of globalization
IT = innovation and competitive advantage
A survey of CEOs say “IT enables & transforms” – 84%
– “Management recognizes technology as central to
innovation and competitive advantage... more CIOs
are gaining a prominent seat at the table in their
executive teams and are playing an active role in
strategic business decisions."
– CIOs have end-to-end view of business
26. Problems
Enrollment in IT college programs declining
Perception that IT jobs are decreasing
Desired skills in entry level candidates:
Programming
Support/help desk
Roles most likely to be outsourced/offshore:
Programming
Support/help desk
27. Problems
Result
– “That’s HR... And not meeting my needs”
– “IT people leave in 2-3 years”
– “Where is the ROI”
“Young workers pose a confounding
problem... Lofty expectations and a near
total lack of loyalty have conspired to make
young workers entirely unpredictable”
(CIO Insight)
28. It's not just about hiring
Engagement
Leadership Development
Succession Planning
Learning & Development
Coaching & Mentoring
Sourcing Strategy
Building Business Acumen
Skills Inventory
Resource Management
Integrated process & data
29. week 14
It's not just about hiring
Relationship Management
Leadership
Business Acumen
Global Perspective
Strategy Execution
Collaborative and Partnering
If people are your greatest asset….
•Know your talent needs
•Define your pipeline
•Invest in your people
Kony & Slactivism – what is Slacktivism? http://mashable.com/2012/03/09/kony-slacktivism/ The film aims to make Joseph Kony, the leader of Uganda’s Lord’s Resistance Army (LRA), famous for his crimes against humanity, particularly kidnapping and abducting children, and turning them into child soldiers and sex slaves. As of Friday morning, the film has been viewed 70 million times on YouTube and Vimeo and received almost half a million comments. Uganda, LRA, Invisible Children and #stopkony, among other topics related to the film, have trended throughout the week on Twitter. Slacktivism (sometimes slactivism or slackervism) is a term formed out of the words slacker and activism. The word is usually considered a pejorative term that describes "feel-good" measures, in support of an issue or social cause, that have little or no practical effect other than to make the person doing it feel satisfaction. The acts tend to require minimal personal effort from the slacktivist. The underlying assumption being promoted by the term is that these low cost efforts substitute for more substantive actions rather than supplementing them, although this assumption has not been borne out by research. [1] Slacktivist activities include signing Internet petitions,[2] joining a community organization without contributing to the organization's efforts, copying and pasting of Social Network statuses or messages or altering one's personal data or avatar on social network services. New iPad http://www.wired.com/thisdayintech/2012/03/march-12-1923-talkies-talk-on-their-own/
What is a meme A meme ( /ˈmiːm/; meem)[1]) is "an idea, behavior or style that spreads from person to person within a culture."[2] A meme acts as a unit for carrying cultural ideas, symbols or practices, which can be transmitted from one mind to another through writing, speech, gestures, rituals or other imitable phenomena. Supporters of the concept regard memes as cultural analogues to genes in that they self-replicate, mutate and respond to selective pressures.[3] The word meme is a shortening (modeled on gene) of mimeme (from Ancient Greek μίμημα Greek pronunciation: [míːmɛːma] mīmēma, "something imitated", from μιμεῖσθαι mimeisthai, "to imitate", from μῖμος mimos "mime")[4] and it was coined by the British evolutionary biologist Richard Dawkins in The Selfish Gene (1976)[1][5] as a concept for discussion of evolutionary principles in explaining the spread of ideas and cultural phenomena. Examples of memes given in the book included melodies, catch-phrases, fashion and the technology of building arches.[6] Proponents theorize that memes may evolve by natural selection in a manner analogous to that of biological evolution. Memes do this through the processes of variation, mutation, competition and inheritance, each of which influence a meme's reproductive success. Memes spread through the behaviors that they generate in their hosts. Memes that propagate less prolifically may become extinct, while others may survive, spread and (for better or for worse) mutate. Memes that replicate most effectively enjoy more success, and some may replicate effectively even when they prove to be detrimental to the welfare of their hosts.[7] A field of study called memetics[8] arose in the 1990s to explore the concepts and transmission of memes in terms of an evolutionary model. Criticism from a variety of fronts has challenged the notion that academic study can examine memes empirically. However, developments in neuroimaging may make empirical study possible.[9] Some commentators[who?] question the idea that one can meaningfully categorize culture in terms of discrete units. Others, including Dawkins himself, have argued that this usage of the term is the result of a misunderstanding of the original proposal.[10]
Who gave web numbers? Dale Dougherty dreamed up something called Web 2.0, and the idea soon took on a life of its own. In the beginning, it was little more than a rallying cry, a belief that the Internet would rise again. But as Dougherty's O'Reilly Media put together the first Web 2.0 Conference in late 2005, the term seemed to trumpet a particular kind of online revolution, a World Wide Web of the people. Web 2.0 came to describe almost any site, service, or technology that promoted sharing and collaboration right down to the Net's grass roots. That includes blogs and wikis, tags and RSS feeds, del.icio.us and Flickr, MySpace and YouTube. Because the concept blankets so many disparate ideas, some have questioned how meaningful—and how useful—it really is, but there's little doubt it owns a spot in our collective consciousness. Whether or not it makes sense, we now break the history of the Web into two distinct stages: Today we have Web 2.0, and before that there was Web 1.0. The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) [1] that promotes common formats for data on the World Wide Web. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web of unstructured documents into a "web of data". It builds on the W3C's Resource Description Framework (RDF).[2] According to the W3C, "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries."[2] The term was coined by Tim Berners-Lee,[3] the inventor of the World Wide Web and director of the World Wide Web Consortium ("W3C"), which oversees the development of proposed Semantic Web standards. He defines the Semantic Web as "a web of data that can be processed directly and indirectly by machines." While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept.[4] [ not in citation given ]
Planning – defning the system to be developed, set the project scope, develop the project plan Analysis – gather business requirements Design – design the technical architecture, design system models Development - build technical architecture, databases, programs Testing – write test conditions, perform testing Implementation – write user documentation, provide training Maintenance – build a help desk, support system changes
emphasizes extensive user involvement in the rapid and evolutionary construction of working prototypes of a system to accelerate the systems development process
Prototype: a smaller-scale, representation, or working model of the user's requirements or a proposed design for an information system Iteration means the act of repeating a process usually with the aim of approaching a desired goal or target or result. Each repetition of the process is also called an "iteration," and the results of one iteration are used as the starting point for the next iteration.
Outsourcing: the delegation of specific work to a third party for a specified length of time, at a specified cost, and at a specified level of service Prototyping: w/pilot studies ASP Application Services Providers (for software and services) XSPs
