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.

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 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 explore information systems and their role in organizations. They examine management decision support systems, system analysis and design methodologies, information processing technologies, and their role in decision making. Students will explore tools and techniques for supporting and executing organizational processes. Upon completion of the course, students will work as a team to design an information systems solution to meet a specific business need.

Please complete 801-196 Oral/Interpersonal Communication or 801-198 Speech. 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 Machine Learning (ML) concepts and Python applications. This will include instruction on data acquisition, supervised and unsupervised learning, and data modeling. Upon completion of this course studnes will able to apply ML concepts to organizational solutions.

This course introduces students to some of the major theories and topics of psychology, including the physiological basis of behavior, personality and learning theories, memory, states of consciousness, stress, research methods, intelligence, human development, psychopathology, and social behavior.

In this course, students will build upon the skills learned in Data Analytics 1. Students will learn to work with large data sets and organize that information for effective data analysis. Students utilize commercial data analysis software packages, and create custom computer programs to analyze data. Upon completion of the course, students will be able to perform analysis of relevant data with various software tools, and use the generated information to help make informed business decisions.

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.

Students taking Introductory Statistics display data with graphs, describe distributions with numbers perform correlation and regression analyses, and design experiments. They use probability and distributions to make predictions, estimate parameters, and test hypotheses. They draw inferences about relationships including ANOVA.