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  • Accounting information systems (AIS)
  • Design
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Coursework

Business Coursework:

MIS 3506– User Experience Design (Fall 2020)

We learn to describe, scope, and build a complete user experience and understand the role of usability and design principles. We use our understanding of the role of requirements and goals to build innovative and pleasurable user interfaces that achieve human, social, organizational, and business model goals.

MIS 3406 –Enterprise IT Architecture (Spring 2020)

The primary focus of this course was designing cloud-based systems and deploy applications that scale in a reliable, secure, and cost-effective manner. We learned to understand the concepts of modern cloud computing and use that knowledge to build a cloud application deployment infrastructure using AWS. We analyzed and configured a cloud infrastructure for scaling and redundancy. Additionally, we developed a simple RESTful API using Node.js and deployed an API to a cloud infrastructure using instance-based and application-based methods.

MIS 2502 – Data Analytics (Fall 2019)

In this course, students learn and apply the basic principles common to all programming languages using JavaScript and develop logical thinking skills to be able to break down the task into component steps and express those steps in code. Students are able to use Web APIs and related protocols to send and retrieve data and recall the basic syntax of the HTTP protocol necessary to send and retrieve data from an API. We learn the basic structure and syntax of HTML5, CSS, and JavaScript and be able to use and combine these languages to present a complete solution. In addition, we learn how to use tools (i.e. libraries/frameworks) that can speed and simplify application development, e.g. Bootstrap, and jQuery and get an understanding of a Serialization process, e.g. via JSON.

MIS 2402 – Data-Centric Application Development (Fall 2019)

In this course, we articulate the key components of an organizations’ information infrastructure and understand and use a transactional database from a model based on both SQL and NoSQL. We create an analytical data store by extracting relevant data from a transactional database like performing extraction, transformation, loading (ETL) functions such as data sourcing, pre-processing, and cleansing. We also discover trends in analytical data stores using the data mining techniques of clustering, segmentation, association, and decision trees.

MIS 2901 – Honors Information Systems in Organizations (Spring 2019)

This course is an introduction to MIS and teaches core concepts of the application of technology in business settings. Students learn to identify and analyze organization systems and processes using various methods like process decomposition and data modeling. We gain experience with learning about systems used in organizations and develop critical thinking skills to streamline processes.


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