Online Computer Science Degree

This foundation course covers core computing technology concepts including computational thinking, abstraction of information, computing hardware and data, programming, and iteration.

Discrete mathematics is of direct importance to the fields of Computer Science and Information Technology. This branch of mathematics includes studying areas such as sophisticated forms of counting (combinatorics, etc), set theory, logic, relations, graph theory, and analysis of algorithms. This course is intended to provide students with an understanding of these areas and their use in the field of Information Technology.

This course is a study in Java programming. It covers topics around Java programming, variables, expressions, using branches and loops, storing data in arrays and using methods.

This course continues the subject in PRG/420, Java Programming I. Topics include designing complex applications, the use of data files and other advanced topics.

This course provides a foundational workshop on data structures, which is a functional component of business intelligence (BI) within an organization. Building upon basic programming and database structure, this course builds competencies for the student to recognize the structure of data contained in deployed enterprise information systems.

This course provides a thorough discussion of the fundamentals of computer organization and architecture as related to contemporary design issues. Topics include I/O functions and structures, RISC, and parallel processors. Real-world examples are used in this modern approach to computer organization and architecture.

This course addresses the legal, ethical, and societal implications of information technology and highlights notable technology developments and their impact on business. Students examine professional codes of ethics, cyberattacks and cybersecurity, security risk assessment, privacy, electronic surveillance, and freedom of expression. Topics include Internet censorship, protection of intellectual property, quality software systems, IT's impact on society, social networking, and ethics of IT corporations with a strong focus on the ethical issues in the workplace.

This course provides a foundation in basic telecommunications and networking technologies fundamental to the industry and to the broad field of telecommunications. Analog, digital, and cloud-based technologies are covered. Also covered in this course are an introduction to the OSI protocol model, network-switching systems, basics of wireless communications, and network security.

This course provides a survey of the concepts related to linear algebra. Students examine the geometry of vectors, matrices, and linear equations, including Gauss-Jordan elimination. Students explore the concepts of linear independence, rank, and linear transformations. Vector spaces, bases, and change of bases are discussed, including orthogonality and the Gram–Schmidt process. In addition, students investigate determinants, eigenvalues, and eigenvectors.

This course provides an introduction to Operating Systems. Topics covered include Operating System concepts, program execution, and Operating System internals such as; memory, processor, device, and file management. A variety of Operating Systems are compared and contrasted.

This course introduces the fundamental, logical, and design considerations addressed during system and application software development. It provides a background in applications software development and testing techniques through a combination of theory and application and best practices.

This course focuses on the role of software architecture in modern business system development. Topics covered in this course include the understanding of software architecture as a set of design decisions to meet functional requirements and quality attributes, design patterns, modeling tools and techniques, and software architecture in some new technology trends.

This course provides an introduction to algorithms and paradigms for modern computing systems, integrating the study of parallel and sequential algorithms. This course prepares students to design, analyze, and implement algorithms for modern computing systems. This edition includes definitions and algorithms for a variety of state-of-the-art computing systems, including clouds, GPGPUs, grids, clusters, and networks of workstations.

This course explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. Students will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

A project-based course in which students will apply the concepts and skills developed in the BSCS coursework.

This course transitions students through the foundations of study at University of Phoenix. Students develop personal strategies for achieving educational goals and develop skills in critical thinking, collaboration, and communication.

The course introduces theories and concepts in psychology that will foster academic success and provide students with opportunities to synthesize and apply that knowledge.

This course develops the reading, writing, and critical thinking skills that are essential for academic and life success.

Students learn how to think critically, focusing on developing the necessary tools and skills to analyze problems, make decisions, and formulate well-supported points of view on key academic, social, and professional issues.

This course extends practice in critical reading, writing, and thinking. Emphasis is given to developing an effective writing process that takes into account audience and rhetorical purpose.

This course introduces students to thinking about and working with numbers by examining the day-to-day and societal importance of money.

This course provides an overview of Business Information Systems. Students learn to apply Microsoft® Office tools including word processing, spreadsheet, and presentation software to accomplish business objectives. Other topics include uses of application software and the Internet for effective problem solving, exploration of relevant technologies for collaboration, and how information is used and shared to accomplish business goals.

This course introduces the fundamentals of computer systems and the role of information processing in today's business environment. An overview is presented of information systems, systems development, database management, networking, and the Internet.

This course provides comprehensive Cybersecurity awareness and a fundamental understanding of various computer and network security threats, such as: Identity Theft, Fraud, Online Scams, Viruses and Backdoors, Hacking, Social Engineering Attacks, and more.

This course presents traditional concepts in college algebra. Topics include linear, polynomial, rational, radical, exponential and logarithmic functions, systems of equations, sequences, and series.

This is the first part of a two-part survey of algebra-based general physics with integrated laboratory recommended for students majoring in a science other than physics, including students of premedical programs. Topics include kinematics; momentum, collisions, work, and energy; gravitation; and circular, angular, and harmonic motion.

This is the second part of a two-part survey of algebra-based general physics with integrated laboratory recommended for students majoring in a science other than physics, including students of premedical programs. Topics covered include fluid dynamics, electricity, magnetism, optics, atomic, and nuclear physics.

This foundational course covers networking basics. In this course, you will learn about network architecture, including network infrastructure implementation, addressing schemas, routing, unified communications, and cloud computing. Understanding computer networks and network components is essential for any IT professional. This course covers the objectives for the CompTIA Network+ certification exam.

This course is an introduction to differential calculus. Students explore limits and continuity. They examine the basic concept of differentiation and practice differentiation techniques. Students develop competence applying differentiation to solve problems. Students also examine simple antiderivatives.

This course examines integral calculus topics. Students are presented with integration techniques for functions of one variable and more applications of definite integrals. Students explore numerical techniques of integration. Students also examine the area function, Riemann sums, and indefinite integrals, and apply these to real-life problems. The course concludes with the Fundamental Theorem of Calculus.

This course provides an introduction to personal computers (PC) and mobile devices commonly used in business and non-profit industries. Topics include the fundamentals of hardware components, architecture, configuration, upgrade, and repair. This course also provides an introduction to hardware troubleshooting and computer support. This course and CIS/293 are aligned with the requirements of the CompTIA A+ 220-1101 exam.

This course provides an introduction to computer networking, network troubleshooting and desktop support. Topics include networking design and implementation. CIS/293 provides hands on practice troubleshooting hardware and desktop support issues aligned with entry-level desktop support. This course, and CIS/291, are aligned with the requirements of the CompTIA A+ 220-1101 exam.

This course provides an introduction to the fundamentals of personal computer and mobile device operating systems. Topics include software configuration, file and data management, synchronization, and troubleshooting. Cloud concepts and the integration of cloud services in the work environment are introduced. This course and CIS/297 align with the requirements of the CompTIA A+ 220-1102 exam.

This course provides an introduction to the fundamentals of network security across devices. Topics include operational procedures and best practices for troubleshooting and providing end-user support. This course provides theory and practice troubleshooting operating systems across devices. This course and CIS/295 align with the requirements of the CompTIA A+ 220-1102 exam.

This course introduces practices in cloud infrastructure and services. Covered are a cloud computing model, layers of cloud computing, and functions of cloud computing. Included are fundamental layers of cloud infrastructure: physical, virtual, control, orchestration, and service. Also included are cross-layer functions of cloud infrastructure: business continuity, security, and service management.

This course introduces practices in data analytics foundational to the industry and the field of data analytics. Covered are theories of analytics, the phases of the analytics lifecycle, analysis and exploration of data, relevant statistics for data modeling, data visualization, and the tools used for data analytics.