Revised: December 28, 2011 - Stevens Institute of Technology



Revised: Jan 23, 2015Stevens Institute of TechnologyHowe School of Technology ManagementSyllabusMIS 699 Managing Emerging TechnologiesFall 2014Wed, 6.15-8.45PM, Babbio 320Professor Michael Frankmafrank@ Office Hours: Before –After class and by AppointmentSchedule appointments via email:mafrank@Course Room/Web Address: opportunities to introduce new and exciting technology into our businesses and lives have never been greater. Using industry forecasts, current events and parallel historical introductions of disruptive technology; we will explore the Who, What, Where, When and Why’s of Emerging Technologies.By the end of the course, students will better understand how to identify new technologies and assess the applications and benefits to be derived from such technologies. We will examine tools such as the Gartner Hyper Cycle, Forrester Wave and Gartner Magic Quadrant analyses to understand the “typical” life cycles of how new technologies are discovered, perfected and brought into common use. Using case studies, lectures, individual student presentations and a final group project, this course provides the student with the tools necessary to identify a potential business opportunity and to provide a feasibility analysis of such an opportunity. Students will select one emerging technology and provide an individual assessment of the potential of this technology on its own and features which can be enhanced by integrating that technology with other technologies.We will cover dozens of emerging technologies including 3D Printing, the “Internet of Things,” Sensory technologies, the Semantic Web, Massively Open Online Courses (MOOCs), Big Data, and Virtual Economies.Students will learn techniques leading to break-through ideas. They also will become sensitive to the importance and impact of industry technology standards and methods for making the business case for trying new technologies.PrerequisitesAdmission requirements for the BI&A program.Course ObjectivesThe learning goals of this course are ordered according to Bloom’s Taxonomy:Knowledge: They will learn about emerging technologies and the latest design trends in data and knowledge, networks and applications in terms of what issues they address and in particular, how organizations can exploit them for competitive advantage. .Comprehension: Students will be able to separate the “hype” of new technology from the underlying business opportunities and technical challenges for introducing such technologies into organizations and into the marketplace.Application: Students will present a full business case related to one particular project, utilizing one or more emerging technologies.Analysis: Students will be able to identify the requirements for a specific information system and express these requirements in a form usable by Information Technology professionals.Synthesis: Students will be able to apply the concepts learned during the lectures and cases in their final project.Evaluation: Students will be able to determine the advantages and disadvantages of different technology, information systems and business structures for a specific application.Students will improve their ability to communicate in group and presentation settings.Relationship of Course to Rest of CurriculumMIS 699 is a core course in the MS in System curriculum. Prerequisite course: MIS501 or equivalent.Students will have the opportunity to explore the main concepts of statistical learning that will be used in the applied modules of this program.List of Course Outcomes: By the end of this course, the students will be able to:1.Understand the foundations of statistical learning algorithms 2.Apply statistical models and analytical methods to several business domains using a statistical language.3.Recognize the value and also the limits of statistical learning algorithms to solve business problems.Additional learning objectives include the development of:1.Written and oral communications skills: students are required to communicate properly during the class discussions and project class presentations. Homeworks and project report should be presented “as if” they were submitted to a senior manager of a major corporation.2.Solve a major analytical problem using large and heterogeneous datasets in a group project and communicate its results in a professional way.PedagogyLecturesCase StudiesGuest speakers from industry (if available)Student individual assessment of an emerging technology they selectStudent must read publications to stay abreast of emerging technologies/eventsStudent contribution to discussions related to current events and other course materialsFinal team project providing an in-depth analysis of an emerging technologyReadings from texts and selected relevant articles and publicationsReadingsRequired: HYPERLINK "" \t "_blank" Geoffrey A. Moore, Crossing the Chasm. HarperCollins Publishers. (Paperback)Required: HYPERLINK "" \t "_blank"Peter Schwartz, The Art of the Long View, Random House LLC. (Kindle or Paperback) Recommended: The Back of the Napkin (Expanded Edition): Solving Problems and Selling Ideas with Pictures by Dan Roam (Kindle or Paperback)Recommended: Why Not?: How to Use Everyday Ingenuity to Solve Problems Big And Small Paperback – December 1, 2006 by Barry Nalebuff (Author), Ian Ayres (only 18 copies available on Prime)Readings are merely representative and may be replaced, updated or supplemented by newer material.Example Gartner and Forrester analytic material as well other representative surveys and studies.Professor’s slides (will be updated throughout the semester)TED Talks – specific, short (10-15 minute) videos will be assigned in advance of classesCurrent event articles presented by the professor or introduced by the students.SoftwareMicrosoft Office: Excel, PowerPoint, WordFirefox or Chrome Web BrowserAssignmentsAssignmentsDueIndividual Emerg.Tech. ReviewThroughout First Part of CourseMidtermWeek 8Final Project – Group Project using one or more expansive emerging technologyWeek 15,16GradesGrading for each deliverable will be done on a scale from 0-100. The final grade will be computed based on the weighting of the deliverables according to the following resolution:Points (100 scale) GradeTypes of AssignmentsFinal Grade Weight95-100AIndividual Assignments2090-94A-Midterm1085-89B+Final Project4080-84BReliability and Participation3075-79B-Total Grade10070-74C+65-69C60-64C-50-59D0-49FSoftwareMicrosoft Office: Excel, PowerPoint, Word Firefox or Chrome Web Browser Class policyLate Policy: 1 point lost for each day late. No assignments accepted after 3 days.Cooperation: You are allowed to discuss lecture and textbook materials, and how to approach assignments. You cannot share ideas in any written form: code, pseudocode or solutions. You cannot submit someone else's work found through internet or any other source, or a modification of that work, with or without that person's knowledge, regardless of the circumstances under which it was obtained, copied, or modified. Of course, no cooperation is allowed during exams. Re-grades: If you dispute the grade received for an assignment, you must submit, in writing, your detailed and clearly stated argument for what you believe is incorrect and why. This must be submitted by the beginning of the next class after the assignment was returned. Requests for re-grade after the beginning of class will not be accepted. A written response will be provided by the next class indicating your final score. Be aware that requests of re-grade of a specific problem can result in a regrade of the entire assignment. This re-grade and written response is final; no additional re-grades or debate for that assignment.Ethical ConductThe following statement is printed in the Stevens Graduate Catalog and applies to all students taking Stevens courses, on and off campus.“Cheating during in-class tests or take-home examinations or homework is, of course, illegal and immoral. A Graduate Academic Evaluation Board exists to investigate academic improprieties, conduct hearings, and determine any necessary actions. The term ‘academic impropriety’ is meant to include, but is not limited to, cheating on homework, during in-class or take home examinations and plagiarism.“Consequences of academic impropriety are severe, ranging from receiving an “F” in a course, to a warning from the Dean of the Graduate School, which becomes a part of the permanent student record, to expulsion.Reference: The Graduate Student Handbook, Academic Year 2003-2004 StevensInstitute of Technology, page 10.Consistent with the above statements, all homework exercises, tests and exams that are designated as individual assignments MUST contain the following signed statement before they can be accepted for grading. ____________________________________________________________________ I pledge on my honor that I have not given or received any unauthorized assistance on this assignment/examination. I further pledge that I have not copied any material from a book, article, the Internet or any other source except where I have expressly cited the source.Signature _________________________ Date: _____________Please note that assignments in this class may be submitted to , a web-based anti-plagiarism system, for an evaluation of their originality. Course/Teacher EvaluationContinuous improvement can only occur with feedback based on comprehensive and appropriate surveys. Your feedback is an important contributor to decisions to modify course content/pedagogy which is why we strive for 100% class participation in the survey.? All course teacher evaluations are conducted on-line.? You will receive an e-mail one week prior to the end of the course informing you that the survey site ( HYPERLINK "" \o "" \t "_blank" ) is open along with instructions for accessing the site. ?Login using your Campus (email) username and password. This is the same username and password you use for access to Moodle. Simply click on the course that you wish to evaluate and enter the information. All responses are strictly anonymous. ?We especially encourage you to clarify your position on any of the questions and give explicit feedbacks on your overall evaluations in the section at the end of the formal survey which allows for written comments. ?We ask that you submit your survey prior to end of the examination period. ?COURSE SCHEDULELecture/Lab TitleDescriptionAssignmentDueReadingWeek 108/27/14LectureIntroductionWhat will you learn?IntroductionOverview history of change and disruptive technologies"The Victorian Internet"Week 209/03/13Lecture"Objects you View Through Your Windshield May Appear Further than they Actual Are" or Are we there yet? How do I spot emerging Trends?When is the right time to invest in new technology?What is your appetite for taking risk?Which firms/products should I examine?Gartner Hype Cycle Forrester WaveFrost & Sullivan Emerging Technology SurveyGartner Magic QuadrantMoore's Crossing the Chasm adoption mode How do I Spot the Emerging Technologies.When is the right to utilize this technologyMoore's Crossing the Chasm Week 309/10/13Lecture“Try it … You’ll Like It”Who & Which organizations are willing to try new technologies?Breakthrough thinking - applied science versus the ”aha” moment?Can you formalize the innovation process and effective use of new technologies/ways of doing business?How much money? How much risk?Moore's Crossing the Chasm adoption mode "The Innovator's Dilemma"Week 409/17/14Lecture“You say “Potato,” I say “Potaaato” – let’s call the whole thing off”Standards wars - who sets the standards?How are standards set? – What is the process?“DeJure” (Formal) vs DeFacto Standards?Historical/Current Standards Wars (AC/DC, Bar Code, Monolithic (control all) systems vs Heterogeneous (linked) systemsExamination of standards behind some key emerging technologiesStandards in Financial Systems (authentication), Transportation Systems (EZ-Pass) and Unicef (using standards in a non-standard way)ProtocolsExcerpt from AC/DC: The Savage Tale of the First Standards War09/24NO CLASS – I WILL NOT BE AVAILABLE ON WEDNESDAY – 9/24Week 510/01/14LectureReschedulefor Tuesday“It’s a Generational thing”What is the organization of the future going to look like? How will that effect how new technologies are brought into the organization?The psyche of the generations (ex. Millenials vs others)Handling changeThe mobile mentalityDifferent communication/collaboration modelsPrivacy attitudesPew Research Pew Internet and American Life ProjectWeek 610/08/14Lecture“Dave, I’m afraid I can’t do that”The introduction of automated technology? Reliability and “Trust” in automation technology?The age of Semantic Technologies and Thinking machinesAutonomous transportation (Airtrain, Google cars,Robots/DronesIBM WatsonWeek 710/15/13LectureIf it doesn’t work, is there a Plan B? or Plan C?Planning for the unexpected? Scenario PlanningBig bang versus incremental strategySocial Networks and Network DataMicro-blogging and its applicationArt of the Long ViewWeek 810/22/14Lecture“The whole is greater than the sum of its parts”How do Information Systems support Business Processes?CRM, SCM, and PLM ProcessesWorkflow SystemsBig DataStructured Data / Unstructured DataCase examples – Amazon, Otis Elevator, ZipcarMidtermWeek 09 10/29/14Lecture“Everything makes SENSE”Sensory systems – measuring the world around usSight, sound, motion, heat, touch, taste, smellOur multi-instrumented devices – our phonesWearable TechnologyWeek 1011/05/14Lecture“Opinions DO count!”Or“I Know What You Did Last Summer”How have Information Systems been used in political campaigns?Data MiningE-mail marketingMicro-targetingSocial networking/mediaBusiness AnalyticsSelections from Eric Siegal’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die Selections from Nate Silver’s ww. blogWeek 1211/12/2014Lecture“Look Ma, no hands”The mobile worker/consumer? Wireless technologies impact on systems.Mobile systems and infrastructureThe BYOD challengeSoftware development modelsRequirements EngineeringSoftware re-useWeek 13 11/19/14Lecture“I’ll have my phone give your PC a call and make all the arrangements”How does the Age of Machines and machine to machine communications change the worldThe Internet of ThingsScada SystemsRFID and NFCGPS / Micro GPSAutomobile technologyAuthentication TechnologiesWeek 1412/03/14Lecture“Now you see it – now you don’t!”and visa-versaHow will a virtual world change our understanding of value – opportunities out of Thin Air”Artificial Currencies (Bitcoin)AvatarsThe Compressed design, prototyping and production cycle3D PrintingVirtualization of Servers and DesktopsWeek 1512/10/14ExamFinal Project PresentationsYour team will make its case for their emerging technology.Final Project Presentation (In Class)Week 1612/17/14Final Project PresentationsThis week will probably be needed because of class size.Final Project Presentation (In Class) All assignments are due as noted on Moodle. In fairness to others, late work will be penalized 10% per day overdue. ................
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