CSIS - Computer Information Systems


Effective 1 June 2020 through 31 May 2021

Please see the Temporary Adjustments to Policy on Grading for Undergraduate Courses for Spring 2020

Please see the Undergraduate Catalog Archives for PDF versions of past catalogs.

Course Descriptions

Global Citizenship Program
Knowledge Areas
ARTS Arts Appreciation
GLBL Global Understanding
PNW Physical & Natural World
QL Quantitative Literacy
ROC Roots of Cultures
SSHB Social Systems & Human Behavior
Global Citizenship Program
Skill Areas
CRI Critical Thinking
ETH Ethical Reasoning
INTC Intercultural Competence
OCOM Oral Communication
WCOM Written Communication
** Course fulfills two skill areas


CSIS 1500 Introduction to Business Technologies (3)

Business organizations operate in competitive environments and constantly redefine their business strategies to create competitive advantages. Information technology plays an important role in daily business activities by supporting and implementing enterprise-wide initiatives and global business strategies. This course will provide a broad overview of the close correlation between business and technology. The course will explore various information technologies and how they fit into business operations as a key enabler to help business success.

CSIS 2300 Electronic Commerce (3)

More and more business is conducted over the Internet. Electronic commerce (e-commerce) is expanding across the globe. The course provides students with opportunities to gain an understanding of electronic commerce with its major driving forces in information technology. The study covers features of electronic commerce, technology foundations, business strategies, and electronic commerce environment. Prerequisite: CSIS 1500.

CSIS 2500 Introduction to Data Science (3)

This course serves as an introduction to data science, which incorporates theories and techniques from many areas, such as statistics and data mining, to extract valuable knowledge from data. The course provides an overview of fundamental principles about how data science can provide solutions to business problems, techniques for extracting meaning from data, and general approaches of data analytical thinking.

CSIS 3300 R Programming for Data Analytics (3)

R is a programming language used for data analytics and visualization. R offers powerful data analytic techniques that can be used to tackle challenges in data processing, data management and presentation. This class will provide students with fundamentals of the language and how to apply it effectively to various data analytics tasks. Prerequisites: STAT 1100, CSIS 2500 and junior standing.

CSIS 3410 Information Analysis (3)

This course teaches the use of spreadsheets and databases to use data effectively for better decision making. Prerequisites: COAP 2560, STAT 1100 and junior standing.

CSIS 3500 Service-Oriented Architecture (3)

This course will serve as an introduction to Service-Oriented Architecture (SOA) which is a set of principles and methodologies for designing and developing software in the form of interoperable services. The course provides a broad overview of new technologies that are involved in the implementation of SOA, and examines the protocols and software components of SOA. Prerequisite: COAP 2100.

CSIS 3700 Data Analytics Methods (3)

Data analytics is the science of examining raw data with the purpose of drawing conclusions about that data. Data analytics is used in many industries to allow companies and organizations to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics focuses on inference; the process of deriving a conclusion based solely on what is already known by the researcher. This course will introduce students to many techniques used in data analytics. Prerequisites: STAT 1100, COAP 2560 and junior standing.

CSIS 3810 Management Information Systems (3)

This course covers the organizational foundations of systems, their strategic role, and the organizational and management changes driving electronic commerce, electronic business, and digital firms. The course also covers technical foundations of information systems and the roles of information systems in capturing and enhancing management decision making across the enterprise. Prerequisite: Junior standing.

CSIS 4300 Database Systems (3)

This course will provide a foundation for understanding database technology by examining the way databases are used, designed and managed. The course will introduce fundamental concepts related to databases with an emphasis on the relational model. The course will cover the principles of designing databases and provide students with introductory experience in developing and using database applications. Management of databases in the workplace and the responsibilities of database administrators will be covered. This course uses a database management system (DBMS) for hands-on activities. Prerequisite: Junior standing.

CSIS 4310 Decision Support Systems (3)

This course will teach fundamental concepts of information as well as decision support systems. The course will study management support systems' terminologies, decision-making process, problem modeling for analysis and solution design, data management, access, visualizations, and constructing simple decision support systems. The course will briefly discuss business intelligence and the role of networks in implementing and using decision support systems. Prerequisite: Junior standing.

CSIS 4320 Data Warehousing (3)

This course will provide a foundation to understand data warehouse technology by examining the way they are designed, managed, and used. The course will explore the fundamental concepts related to data warehouses. Some of the topics of interest that are covered in this course are the business justification of a data warehouse, management of a data warehouse project, the design, construction, and operation of a data warehouse, issues of data quality and performance, and using the data warehouse. Prerequisite: CSIS 4300.

CSIS 4330 Data Mining (3)

Many businesses are discovering that stored within their corporate data repositories are the elements to understanding and controlling the components of their business processes. Data mining is the process of finding useful patterns in data. The objective of data mining is to use discovered patterns to help explain current behavior or to predict future outcomes. This course will provide a foundation to understand data mining methods and data visualization techniques by examining how these technologies provide useful knowledge that supports critical business decisions. This course will introduce data mining techniques and have the student experiment with data mining applications. Additionally, the course will explain how data visualization can allow managers to quickly access large data repositories and make clear decisions based on integrated information structures. Prerequisite: CSIS 3300.

CSIS 4810 Integrated Enterprise Systems (3)

Enterprise Systems are an essential infrastructure to large corporate entities, as well as small-to-medium (SME) organizations, as they remove the need to have a large number of separate individual computer-based applications. This course is designed to give students a foundational understanding of integrated enterprise systems (IES) and how these systems fit into today's business operations and the management decision making process.

The course covers Business Systems, Enterprise Systems, and the Enterprise Resource Planning (ERP) system as an integrated system covering all activities in the business value chain model. In addition, this course will also consider other technologies, such as cloud computing, big data, and mobile devices. Prerequisites: COSC 3500, ECON 2000, ACCT 2025, BUSN 2100 and junior standing.

CSIS 4820 Advanced Integrated Enterprise Systems (3)

This course will provide students a detailed understanding of the Integrated Enterprise Systems modular architecture. The course covers Supply Chain Management (SCM), Supplier Relationship (SRM), Customer Relationship Management (CRM), Financial (FI), and Production Management System. In addition, this course covers Business Intelligence, and other business applications, that integrate a range of various applications into a single package. Hence increasing the efficiency, and effectiveness, of the organization in performing the respective business processes required to run their operations and deliver their goods or services to customers. Prerequisites: CSIS 4810 and STAT 1100.