Page 234 - University Bulletin

IS372 Healthcare Information Systems
Credits: 3 (3,1,0) Prerequisites: IS241
The course surveys the health-care information systems and applications. Items and topics
examined include definitions, evolutions, trends, applications, computerized patient records,
medical decision support systems, clinical information systems, Internet-based medical decision
support systems, and computer-based training for health professionals.

IS435 Dynamic Website Development with Graphics
Credits: 3 (3,0,1) Prerequisites: IS311
This course has two main objectives. The first objective is to introduce visual principles as the basis
for graphic design in order to develop a sound foundation that enables students to cater to
stakeholder’s requirements of communication using business logos, website graphics, and
colors. The second objective is to enable the students to develop and combine the expertise of
visual communication with dynamic website development. The course contents are specially
designed to produce experts for graphics and website design industry with skills in constructing
interactive Graphical User Interfaces, design, and development of creating graphics for websites
and dynamic website development.

IS446 Knowledge Discovery and Data Mining
Credits: 3(3,0,1) Prerequisites: IS450
This course introduces students to the fundamental techniques and practical tools used for
transforming corporate data into business intelligence. Topics covered include: terminology,
importance, techniques, such as: Online Analytical Processing (OLAP) systems, artificial neural
networks (ANN), rule-based systems (RBS), fuzzy logic (FL), machine learning (ML), classification
trees, classification and regression trees (CART Algorithm), and applications.

IS450 Digital Transformation Fundamentals
Credits: 3 (3,0,1) Prerequisites: Junior Level
The course will provide the fundamental knowledge of digital transformation concepts.
Digitalization is having an impact on organizations at different levels, affecting their structures and
the strategies. The Course will provide information about the roots of digital transformation and
what is the future of Digital Transformation (DT). It will examine the process that contributes to
the transitions to a digital society and economy. Students will understand the problems that the
digital transformation might arise and, at the same time, to assess the new opportunities that the
digitalization produces. Students will get a clear overview of how digitalization tools contribute to
the development of problem-solving strategies. The course will provide an overview of the digital
technology trends like Machine Learning (ML), Artificial Intelligence (AI), Cloud, Internet of Things
(IoT), Big Data, cutting edge technologies and Blockchain. The course will also cover the essential
aspects of the digital transformation, such as data management, and provide an overview of
innovative digital tools. At the end of the course, students will be able to understand the primary
dynamics of digital transformation and general digital tools, methods, and techniques and how
these could be applied by private and public actors to tackle organization and society problems.
The course will introduce the case studies of basic application of machine learning and big data
for real time problem-solving strategies.

222 PSU UNDERGRADUATE BULLETIN