Page 233 - University Bulletin

IS351 Configuration Management and Quality Assurance
Credits: 3(3,1,0) Prerequisites: IS321
This course covers main aspects of process and product quality assurance. Process quality
assurance is covered under software configuration management (SCM) and product quality
assurance is covered under dynamic and static testing. The course presents testing strategy,
software reviews, and testing methods. In addition, it covers SCM as a related process and SCM
functional areas of source code management, builds engineering, environment configuration,
changes control, releases engineering and deployment are explained. After completion of this
course, students will be able to prescribe testing and configuration management techniques for
any kind of IT.

IS361 Project Management
Credits: 3 (3,0,1) Prerequisites: IS241
This course provides students with the knowledge and skills they need for planning, scheduling,
monitoring, and controlling the process of developing information systems. Topics covered
include project management concepts, project planning, risk analysis, WBS and task analysis, time
scheduling, PERT and GANTT charts, project effort and cost estimation techniques, resources
allocation, project tracking and monitoring, and process management methodologies.

IS362 Integrated Information Systems
Credits: 3 (3,0,1) Prerequisites: IS241
This course introduces students to the enterprise resource planning (ERP) approach and how
various business processes are integrated and how information systems can support this
integration. Topics covered include business processes, functional information systems (financial,
marketing, production, resources, inventory, and decision-making), models, frames, the
technology used for integration, business integration, business processes, systems integration,
enterprise resource planning systems and the role of real-time information in business
management. Hands- on experience with enterprise systems, such as SAP R/3 is the integral part
of this course.

IS371 Quantitative Analysis
Credits: 3 (3,0,1) Prerequisites: STAT101 and IS241
This course introduces fundamental quantitative methods used to analyze and solve various
models of business problems. The course presents a set of fundamental theories and concepts
including probability theory, time series, mathematical programming, and Markov processes. Such
tools are then used model and solve a variety of business problems in finance, transportation,
inventory management, etc. The course aims to equip the student with the necessary knowledge
and skills allowing them to perform quantitative analysis to solve some business models including
forecasting, distribution, transportation, and inventory models. After completing this course,
students are expected to use software tools to solve these common management problems as
well as constrained optimization problems. Students will gain some experience in applying these
quantitative tools to real-world problems.

221 PSU UNDERGRADUATE BULLETIN