These are courses that I have taught at The University of Iowa.

Business Analytics (MSCI2800): This course is under development. Introduction to business decision making using data; students transform data into Insight using visualization, statistics, and optimization; introduction to Excel as a tool for business analytics. This course is online.

Operations Management (MSCI3000): Strategic, tactical, operational issues that arise in management of production and service operations; product and process design, facilities planning, quality management, materials management, operations planning and scheduling, emerging technologies in production and service management. This course is online.

Play video "Operations Managment Course Introduction"Video Introduction to MSCI3000Play video "Operations Management Course Introduction"

Information Systems (MSCI3005): Application of computing principles to solving business problems; information technology in modern organizations; focus on sound data analysis to support decision making; tools used for problem solving (spreadsheets, databases, web applications); role of information systems in organizations; components of information technology; Internet and network economy; basic data analysis and visualization; decision‑making logic represented as algorithms; perform what‑if analysis with data; emerging technologies. This course is online.

Play video "Information Systems Course Introduction"Video Introduction to MSCI3005Play video "Information Systems Course Introduction"

Data Management and Visual Analytics (MSCI6050): Understanding how data is stored in databases and learning the tools used to access the data is key to creating datasets used to answer many business questions; how to manage and access data in relational databases using Structured Query Language (SQL); basic principles of visual analytics and techniques for presenting data retrieved from databases.

Business Analytics (MBA8150 & MSCI9100): Introduction to analytical techniques for making business decisions; utilizing Excel to apply descriptive and predictive analytical tools to solve practical business problems using real world data; dealing with uncertainty in decision making; formal probability concepts and statistical methods for describing variability (decision trees, random variables, hypothesis testing); application of techniques (linear regression, Monte Carlo simulation, linear optimization) to model, explain, and predict for operational, tactical, and strategic decisions. This course is both in-class and online.

Play Video "Business Analytics Course Introduction"Video Introduction to MBA8150Play video "Business Analytics Course Introduction"

Design for Manufacture (DFM): This course provides students with the opportunity to develop and demonstrate an understanding of product design, engineering graphics, and manufacturing processes fundamentals.

Robotics: Operation and control of robot systems; robotic sensors and data acquisition subsystems; machine vision; software for robot control; design of robotic workcells; laboratory projects.

These last two syllabi are courses that I have taught several years ago, their syllabi may appear a little strange because of the web editor that I had used to create them.

Miscellaneous: Just what the name implies.