Please complete 809-143 Microeconomics or 809-195 Economics. This is for informational purposes only. Once you register for your course, you can delete this block from your timeline.

This course prepares the students to be able to explain the historical and economic significance of transportation in US and world economies, utilize the correct transportation terminology, analyze the operating and service characteristics of the five major modes of transportation, differentiate cost and pricing structures of five major modes of transportation, decide the best mode of transportation to use for specific shipments, analyze the forms of special transportation services, and analyze the information technology systems used in the transportation industry.

The Supply Chain Management course is designed to examine Supply Chain Management Fundamentals; Procurement, Manufacturing and Operations Management, Transportation and Logistics,Inventory and Warehousing, Demand Planning, Scheduling an Performance Management or Analysis.

This course is designed for learners to develop knowledge and skills in all aspects of the writing process. Planning, organizing, writing, editing and revising are applied through a variety of activities. Students will analyze audience and purpose, use elements of research, and format documents using standard guidelines. Individuals will develop critical reading skills through analysis of various written documents.

In this course, students will learn to use the R programming language to analyze data. Students will learn the syntax and data structures of the R language, and how to apply the language to perform traditional statistical analysis, such as means testing, variable correlations, and linear regressions. Upon completion, students will be able to create R programs to process data and create meaningful output rooted in sound statistical techniques.

In this course, students apply data analysis techniques to a real world project. Students will interface with a client data source and prepare the data for analysis to help determine the outcome a industry problem that needs to be solved. Upon completion of this course, students will work in teams to create visualizations, gather business intelligence information, and provide structured data to assist in making a business decision.

Complete three elective credits. The suggested electives are: 152-182 Web Programming 152-184 Java Programming 1 138-118 International Bizsquad 152-097 JavaScript 150-106 Intrusion Detection Systems This is for informational purposes only. Once you register for your course, you can delete this block from your timeline.

In this course students will learn the fundamental concepts in Computer Vision (CV) and image processing. Instruction will include usage of Python CV libraries and building software applications to process images. Upon completion of this course students will be able to build an application to apply to organizational solutions.

In this course, students will learn to organize, manage and analyze very large data sets from various sources. Students will use software tools to present complex data in visually meaningful representations that can be communicated to business stakeholders. Upon completion, students will learn how to transform raw data into meaningful information that will be utilized for data-driven decision making.

In this course students will learn the fundamental concepts in Natural Language Processing (NLP) and text processing. Instructions will focus on knowledge and skills necessary to create language recognition applications. Upon completion of the course students will be able to build an application that processing language to apply to an organizational solution.