Online Bachelor’s in Artificial Intelligence and Machine Learning

The opportunities for students, in this first course, for all majors are to learn personal and professional leadership styles and drivers by providing an overview of leadership basics. Leadership skills are utilized across fields of study. Regardless of the roles individuals assume in an organization, they will need to communicate effectively, influence others, and understand the way they respond to others and why. The course engages students in discussion, exploration, and application of leadership skills, principles, and practices. Students will learn about the relationships and connections leaders have with individuals and organizations. Topics include leadership communication, motivation, style, and characteristics.

Credits: 3

This course provides an overview of operating systems and system architecture. Primary emphasis is on I/O systems, file systems, storage, loading, security and memory allocation. Multiple operating systems will be explored and applied throughout the course. Students will be able to contrast kernel mode and user mode as they relate to designing and implementing operating systems. Prerequisite: CSC200.

Credits: 3

This comprehensive Python programming course provides participants with a thorough exploration of Python syntax, data types, and basic programming concepts. As participants progress, they will develop proficiency in using control structures and logical operators for effective decision-making in Python. The course covers fundamental data structures such as lists, tuples, dictionaries, and sets, emphasizing their practical application in Python programming. Skills in string manipulation, including concatenation, slicing, and formatting, are honed to enable participants to manipulate textual data efficiently. The course also focuses on the design and implementation of functions for creating modular and reusable code.

Credits: 3

This course provides students with the skills needed to become a Java object-oriented programmer. Students will learn to program applications using discrete structures and developing programs that access and update stored information from local databases and servers. Students will also learn the underlying features and use of programming language translation and static program analysis including run-time components such as memory management in different operating system environments.

Credits: 3

This course provides students with the skills needed to become a Java object-oriented programmer. Students will learn to program applications using discrete structures and developing programs that access and update stored information from local databases and servers. Students will also learn the underlying features and use of programming language translation and static program analysis including run-time components such as memory management in different operating system environments. Prerequisite: CSC320.

Credits: 3

This course provides an overview of data structures including arrays, lists, trees, graphs, hashes, and files. Students will apply techniques to analyze algorithms and to compare data structures. Required Prerequisite: CSC372

Credits: 3

This course introduces the basic concepts associated with Artificial Intelligence (AI) including heuristic search procedures associated with general graphs. Students will develop an understanding of knowledge representation and techniques associated with AI reasoning with uncertainty with the goal of solving current-day complex problems within an organization. Emphasis will be on applying propositional logic, Bayesian probability analysis, and machine learning concepts to solve computationally-intensive problem. 

Credits: 3

This course provides an introduction to concepts involved in the application of computer vision theory. In this course, students will gain an understanding of the use of cameras and projection models for completing image processing. Students will be introduced to various techniques, including filtering, edge detection, segmentation, and clustering.

Credits: 3

This course offers a thorough exploration of machine learning principles and practical application using Azure technologies. Students will grasp fundamental machine learning concepts and delve into supervised and unsupervised learning. Through hands-on exercises, participants will gain practical insights into model training, validation, and evaluation techniques. The emphasis is on developing practical skills, including utilizing Azure Machine Learning Studio for designing and deploying experiments, implementing feature engineering, and optimizing models for scalability and efficiency in the Azure environment. Upon completion, participants will possess the knowledge and hands-on experience to proficiently navigate and leverage Azure Machine Learning for effective machine learning solutions.

Credits: 3

This course provides an introduction to the theories associated with robotic systems in computing. Students will gain an understanding of basic principles and methodologies associated with robotics and robot control systems. Students will student robot mechanics, intelligent controls, and dynamics. Prerequisite Course: CSC410. 

Credits: 3

The course provides an introduction to the processes and principles of information retrieval and web searching. Students will explore problems in natural language processing that apply to web searching and other information retrieval systems. The course will focus on understanding efficient text indexing, document clustering and classification, and machine-learning based ranking.

Credits: 3

Participants will grasp fundamental GUI concepts and develop proficiency in utilizing Tkinter, the standard GUI toolkit in Python. The course delves into layout management techniques for organizing GUI elements effectively and explores the integration of various widgets to create interactive interfaces. Participants will also learn to work with images and graphics within Tkinter applications, enhancing the visual appeal of their creations. Additionally, the course covers the ttkbootstrap library, providing insights into how it enhances the aesthetics of Tkinter GUIs. By the end of the course, participants will integrate all the learned concepts to construct a complete and functional GUI application.

Credits: 3

This course provides a foundational understanding of Azure services, exploring their role in cloud computing and covering key concepts such as Azure resources, virtualization, and networking. Participants will delve into the integration of AI services within the Azure environment, learning to integrate Azure AI services such as Azure Cognitive Services and Azure Machine Learning. The course emphasizes how AI enhances various Azure solutions across different industries. Additionally, students will develop basic skills to deploy AI solutions on Azure, gaining hands-on experience in deploying simple AI models and understanding the deployment lifecycle and considerations for AI solutions. 

Credits: 3

This course explores the ethical, social, and legal implications of artificial intelligence (AI) and machine learning (ML) systems. Students will examine key ethical issues, such as fairness, accountability, transparency, privacy, and bias in AI systems. The course will also address the regulatory and policy frameworks governing the use of AI, with a focus on creating responsible, human-centered AI systems. Through case studies, students will analyze real-world scenarios, learning to identify risks and propose solutions that promote the ethical deployment of AI technologies in diverse fields, from healthcare to finance and beyond.

Credits: 3

This capstone course requires students to apply programming concepts to develop functional and practical programs to address complex problems similar to those that organizations face in the workplace today. The project will include implementation of a software solution designed from an algorithm that follows a project plan and requirements specification that incorporates correct data types; data structures and debugging and testing strategies. Students will use their choice of development platforms (ex. Java or C++) and the integration of external data from a local or server-based data storage system. 

Credits: 3