(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
Schedule Number: 402838
Class Limit: 40
Meeting Days/Times: T R 2:30- 3:45 PM
Classroom: 203 IST Bldg
Instructor: Tim Ryan
Prerequisites: IST 210 & IST 220
Technology Requirements: This course does not require any specific technical expertise, but upper level standing (4th semester and above) preferred. All software used in the course will be thoroughly introduced by the instructor and all students potentially interested in 3D imaging are encouraged to register.
Course Description: High-resolution computed tomography is used in a wide range of fields including biology, medicine, anthropology, geology, and engineering to image a variety of objects non-destructively. This course is an introduction to the growing field of high-resolution computed tomography imaging and the tools and techniques used in data collection, post-processing, analysis, and 3D visualization. This course will introduce students to the basics of CT imaging, the 3D reconstruction and visualization of image data, and a variety of software packages and tools used for these tasks. The course will also introduce other imaging techniques such as MRI and confocal microscopy, 3D surface scanning, and 3D stereo lithography printing. The class will be a combination of lectures introducing the theory and application of imaging techniques as well as hands-on work with various image datasets (provided by instructor) in 2D and 3D imaging software packages (Avizo, ImageJ).
Book: Virtual Reconstruction: A Primer in Computer-Assisted Paleontology and Biomedicine, Christoph P. Zollikofer and Marcia Ponce de Leon (subject to change)
Target Audience: This course is targeted at both technical and non-technical students interested in scientific imaging, 3D reconstruction, and data visualization. The course is not overly technical (no programming skills required), but students interested in the more technical aspects of imaging may incorporate this interest into their class projects.
Evaluation Methods: Evaluation will be based on assignments, a semester-long group project, and a final exam.
Schedule Number: 402829
Class Limit: 35
Meeting Days/Times: MW 2:30 – 3:45 PM
Classroom: 110 IST
Instructor: Mike McNeese
Prerequisites: IST 210 & 220
Technology Requirements: The course will utilize extend IST technologies as required for simulation and in-class experiences
Course Description: Teams! Teams! Teams! A good portion of organizational success in contemporary society is highly predicated on teamwork (collocated and virtual teams, and team of teams) that typically requires cognition in the form of situation assessment, decision making, problem solving, and execution-judgment. This IST 402 course will explore (1) the theory, methods, measures, and applications underlying team cognition (2) how collaborative technologies can be used to facilitate and enhance teamwork in a connected, distributed global planet. An emphasis will be placed on use of case studies, simulations, models, and technological designs to explore how team cognition effectively evolves within different contexts of use. A variety of teams in different fields of practice will be examined as part of a broad view of team cognition. Kathy not sure if this is too long or not but this is my first shot at describing what I want to do with this IST 402 course.
Relationship to Other Courses: None in particular as this is an IST 402 course and represents an independent course in Emerging Technologies. The course probably will afford students a course that provides complimentary fit to IST 331 and IST 440.
Target Audience: The primary target audience would be IST/SRA junior and seniors, although the course might be useful for other majors at Penn State (e.g., psychology, industrial engineering, engineer design, learning, design, and technology) and provide a 400-level option for our graduate students.
Evaluation Methods: The course evaluation will be based on performance involving but not limited to simulation exercises, descriptive modeling tasks, use of collaborative technologies, and class discussion that culminates in individual (60%) and team (40%) projects that will require written and oral assessments.
Schedule Number: 425746
Class Limit: 24
Meeting Days/Times: MWF 12:20-1:10 PM
Classroom: 203 IST
Instructor: John Hill
Prerequisites: IST 210 & 220; recommended Introductory C, C++ or Java programming language
Technology Requirements: We will use Arduino microprocessors and associated sensors and effectors, all of which are provided to enrolled students.
Course Description: Following this course the successful student will be able to do the following:
Evaluation Methods: Individual exercises, individual research papers, and team project
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.