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Special Topics & IST 402

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IST 402 Emerging Issues and Technologies

(3 per semester/maximum of 9)

Introduction to emerging issues, technology forecasting and analysis; overview of emerging issues and leading technologies in IST and how they impact information systems, users, the IT labor force and society.

Prerequisite: IST 210 and IST 220

Fall 2015

Schedule Number: 490195
Section: 001
Class Limit: 43
Meeting Days/Times: T R 1:00PM – 2:15PM
Classroom: 202 IST
Instructor: Chao-Hsien Chu
Prerequisites: IST 210 & IST 220

Course description: Large amounts of heterogeneous data have become available in various healthcare organizations (payers, providers, and pharmaceuticals). Driven by mandatory requirements and the potential to improve the quality of healthcare delivery and  reduce costs, these massive quantities of data (known as ‘big data’) hold the promise of supporting a wide range of medical and healthcare decisions, including clinical decision support, disease surveillance, and population health management, among others. In this course, we will (1) introduce the process and methods of big data analytics, (2) examine the characteristics and related mining challenges on dealing with big healthcare data, and (3) review exemplar analytic methods for automated analysis of healthcare/medical data with different applications.

Topics to be included: Fundamentals of Big Data Analysis (process, methods, challenge and applications); Healthcare Data Models; EHR Analytics; Patient Analytics; Text Analytics in Healthcare; and Predictive Analytics. Potential applications include, but do not limit to, outpatient appointments, prediction of inpatient length of stay, clinical decision supports, reducing readmissions, detecting errors, misuse and fraud, identifying high-risk patient, and infection control, etc.

Target Audience: Junior or senior undergraduate students.

Evaluation Method: The course will include a class project on a topic proposed by a team of two students. Evaluation of the course will be based on mid-term report and final reports of the project, an in-class 20 minute presentation of a relevant topic of a student’s choice, homework, and in-class activities.

Schedule Number: 490198
Section: 002
Class Limit: 43
Meeting Days/Times: T R 11:15AM – 12:30PM
Classroom: 110 IST
Instructor: John Yen
Prerequisites: IST 210 & IST 220

Course description: This course will introduce concepts, technologies, and applications regarding human robot interactions. After completing the course, the students will have a broad understanding about the technologies and emerging applications of social robots and be able to program a humanoid robot NAO using either its visual programming interface (Choregraphe) or Java JDK. The course is suitable for IST students in any option.

The students will also have hands on experience about the design of social robot behaviors and/or conduct human-robot experiments. The design and implementation of these behaviors will be facilitated by a software simulator of NAO before porting to the NAO physical robot. Topics covered in the course will include human robot interaction design, social robot, emotion and robots, and robots for assisting elderly.

Target Audience: Junior or senior undergraduate students.

Evaluation Method: Course evaluation is based on performance involving four objectives: Homework (25%), Student Presentation (10%), Term Project (40%); In Class Activities (25%).

Schedule Number: 547885
Section: 003
Class Limit: 35
Meeting Days/Times: T R 4:15PM – 5:30PM
Classroom: 203 IST
Instructor: Gregory O’Toole
Prerequisites: IST 210 & IST 220

Course description: This course focuses on emerging technologies related to what we call “the assembled web”. The assembled web is yet another level or stage of the web from the perspective of web development. We are talking here about existing technology clusters that can be assembled into customized solutions for any marketplace. Some of these technologies include: open source web stacks (like LAMP, for example), open source web content management systems (like Drupal or WordPress, for example), dependency management (like Drush, for example), libraries, frameworks, web services, SDKs, modules, themes, plug-ins, application programmer interfaces, content types, and data types within the context of creating useful, optimized, platform-agnostic user interfaces for data-driven applications.

Target Audience: This course will be most effective for students who can work independently in a productive manner with some online and face-to-face guidance. No programming experience is required, but familiarity with basic web building technologies is very helpful.

Required Reading: Drupal For Designers. Nordin, Dani. O’Reilly, 2012.

Schedule Number: 519619
Section: 006
Class Limit: 35
Meeting Days/Times: T R 2:30PM – 3:45PM
Classroom: 203 IST
Instructor: John Bagby
Prerequisites: IST 210 & IST 220

Course description: Electronic payment systems are enormously popular today. The primary attraction is to lower the transaction costs of payments. However, organized crime and terror organizations use stealthy payment systems to avoid detection. In the future, it will be impossible to competently perform law enforcement and counterterrorism without a deep understanding of the development and deployment of electronic payment systems. This course will analyze successes and failures of ePmt Architectures with a view to developing an architecture for the next cool payment enterprise.

Topics to be included:

  • Architecture of electronic payment systems
  • Negotiable instruments regulations
  • Money & banking financial economics,
  • Payment system innovation
  • Money-laundering intrigue
  • Counter-trade
  • Bank secrecy
  • EZ-Pass
  • Bitcoin “investment” instability
  • Anti-money laundering (AML) forces in counterterrorism finance (FinCEN, Interpol)

*Special emphasis will be given to emerging ePmt successes and failures including Bitcoin, PayPal, Doge Coin, Apple Pay and numerous patented payment processing software and business methods.

IST 297/497 Special Topics

Formal courses given infrequently to explore, in depth, a comparatively narrow subject that may be topical or of special interest. The College of Information Sciences and Technology's Special Topics are those that may be available for only one semester, examine special topics, or are new courses that have been added to our list of course offerings.

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