麻豆原创

Network and Security - Foundations introduces learners to the basic network systems and concepts related to networking technologies. Learners will gain skills in applying network security concepts for business continuity, data access, and confidentiality, and in identifying solutions for compliance with security guidance.

Data Management Foundations offers an introduction in creating conceptual, logical and physical data models.鈥� Students gain skills in creating databases and tables in SQL-enabled database management systems, as well as skills in normalizing databases. No prerequisites are required for this course.

Welcome to Web Development Foundations! In this course you will learn about web design and development using HTML and CSS. This course employs the zyBooks learning platform which contains all the necessary reading materials, knowledge checks, and hands-on activities to prepare you for the course assessment. For the best understanding of the course content, complete each chapter. There are no prerequisites. Competency will be demonstrated with a performance assessment.

Data Structures and Algorithms I covers the fundamentals of dynamic data structures, such as bags, lists, stacks, queues, trees, and hash tables with their associated algorithms. This course discusses object-oriented design and abstract data types as design paradigms. The course emphasizes problem-solving and techniques for designing efficient, maintainable software applications. Students will implement simple applications using the techniques learned.

Operating Systems for Computer Scientists focuses on the intricacies of operating systems. This comprehensive course for computer science students covers core principles such as processes, threads, memory management, and file systems, providing students with insights into CPU scheduling algorithms, deadlock handling, and system performance optimization. Additionally, the course delves into security mechanisms, addressing common threats and preventative measures. Through a blend of theoretical concepts and practical applications, students emerge equipped to adeptly navigate operating system features and prepared for real-world challenges in computer science.

IT Leadership Foundations is an introductory course that provides students with an overview of organizational structures, communication, and leadership styles specific to information technology in organizations. It also introduces students to some of the power skills that help make successful IT professionals, including time management, problem solving, and emotional intelligence. Students in this course explore their own strengths and passions in relation to the field. There are no prerequisites for this course.

Business of IT - Applications examines Information Technology Infrastructure Library (ITIL庐) terminology, structure, policies, and concepts. Focusing on the management of information technology (IT) infrastructure, development, and operations, learners will explore the core principles of ITIL practices for service management to prepare them for careers as IT professionals, business managers, and business process owners. This course has no prerequisites.

This course bridges foundational programming skills to advanced object-oriented concepts, empowering learners to design and implement robust, scalable applications. It emphasizes the core pillars of object-oriented programming such as inheritance, composition, encapsulation, abstraction, and polymorphism while introducing data structure fundamentals. Learners will define and extend class hierarchies, apply method overriding, work with polymorphic collections, and traverse data structures using iterative and recursive techniques. Through practical problem-solving, the course reinforces code reusability and equips learners to apply object-oriented principles for efficient, maintainable solutions.

JavaScript Programming expands students鈥� web development skill set by teaching them to build interactive, user-centered websites using JavaScript, cascading style sheets (CSS), the Document Object Model (DOM), and event handling. The course also introduces dynamic navigation, reactive interface components, and client-side data entry and storage. Web Development Foundations is a prerequisite for this course.

This course introduces the application of Agile methodology in software engineering, focusing on Scrum, Kanban, and collaborative team practices. Learners apply agile leadership frameworks, communication strategies, and agile processes to contribute effectively to software engineering projects and foster an agile team culture. Successful completion of this course may support learners in pursuing Agile or Scrum鈥憆elated certifications offered by the Scrum Alliance.

AWS Developer examines the skills and knowledge needed to effectively implement automated and continuous testing processes for software deployments with cloud solutions. Students will learn to design software with Amazon Web Services (AWS), software development kits (SDKs), and command line interface (CLI), and to implement authentication, encryption, and authorization within an AWS environment. Students will also learn to design cloud service deployments with AWS infrastructure services, platform services, and features. Students will learn skills to monitor automated testing for quality control and to perform root cause analysis on testing or production failures. There are no prerequisites for this course.

Software Engineering introduces the concepts of software engineering to students who have completed the core courses in programming and project management. The principles build on previously acquired concepts, switching the emphasis from programming simple routines to engineering robust and scalable software solutions. This course does not cover programming, but it provides an overview of software engineering processes and their challenging nature, focusing on the need for a disciplined approach to software engineering. A generic process framework provides the groundwork for formal process models. Prescriptive process models such as the Waterfall Model and Agile Development are included. This course also introduces the elements and phases of software engineering, including requirements engineering, design concepts, and software quality. There are no prerequisites for this course.

Applied Software Engineering demonstrates full鈥憇tack software solutions by producing comprehensive documentation and building functional applications that integrate front鈥慹nd, back鈥慹nd, and supporting services. It executes unit testing, revises software based on test outcomes, and documents all updates to ensure accuracy and quality. The course also deploys software applications to a cloud platform, using scripts and containers to deliver consistent, reliable performance across environments.

This General Physics course covers fundamental concepts, including Newton鈥檚 Laws, forces, motion, energy, waves, electricity, and magnetism, with real-world applications and insights into relativity and quantum theory. Learners will study measurement, forces and motion, Newton鈥檚 Laws, centrifugal and centripetal forces, friction, gravity, momentum, collisions, vectors, wave motion, energy, thermodynamics, and electromagnetic waves. Skills developed include scientific literacy, physical science application, systems thinking, and scientific reasoning.

General Chemistry I introduces foundational principles of chemistry, starting at the atomic level and expanding to the behavior of elements within the periodic table. This course explores how atoms bond to form molecules and proceeds into chemical reactions, acids and bases, solutions, and nuclear reactions. Students will gain a comprehensive understanding of stability and change in chemical processes. This course highlights the practical aspects of chemistry, providing insights into how chemical principles underpin everyday phenomena and contribute to our understanding of environmental processes.

This course examines data through a modern artificial intelligence (AI) lens, focusing on how data is sourced, prepared, and validated to support AI鈥慸riven systems. Learners explore the role of databases and data architectures in AI, including structured and unstructured data, and examine algorithms and techniques used to enable intelligent applications. Emphasis is placed on preparing, transforming, and validating data for use in AI systems. By the end of the course, learners will be able to support modern data鈥慸riven applications by applying data preparation, transformation, and testing techniques to ensure data quality and reliability for AI applications.

Version control is critical to maintaining software and enabling scalability solutions. A best practice for any programming project that requires multiple files uses version control. Version control enables teams to have collaborative workflows and enhances the software development lifecycle. This course introduces students to the basics of publishing, retrieving, branching, and cloning. There are no prerequisites for this course.

Software Engineering introduces the concepts of software engineering to students who have completed the core courses in programming and project management. The principles build on previously acquired concepts, switching the emphasis from programming simple routines to engineering robust and scalable software solutions. This course does not cover programming, but it provides an overview of software engineering processes and their challenging nature, focusing on the need for a disciplined approach to software engineering. A generic process framework provides the groundwork for formal process models. Prescriptive process models such as the Waterfall Model and Agile Development are included. This course also introduces the elements and phases of software engineering, including requirements engineering, design concepts, and software quality. There are no prerequisites for this course.

Applied Probability and Statistics is designed to help students develop competence in the fundamental concepts of basic statistics including: introductory algebra and graphing; descriptive statistics; regression and correlation; and probability. Statistical data and probability are often used in everyday life, science, business, information technology, and educational settings to make informed decisions about the validity of studies and the effect of data on decisions. This course discusses what constitutes sound research design and how to appropriately model phenomena using statistical data. Additionally, the content covers simple probability calculations, based on events that occur in the business and IT industries. No prerequisites are required for this course.

Introduction to Systems Thinking and Applications provides learners with the skills required to engage in a holistic systems-based approach to analyzing complex problems and solutions. This course introduces the foundational concepts and principles of systems thinking and provides opportunities to use a systems thinking approach to analyze and evaluate real-world case studies. The course will culminate with using systems thinking to develop a solution to an authentic complex problem. This course has no prerequisites, but general education math (C955 or C957) is preferred. Because the course is self-paced, learners may move through the material as quickly or as slowly as needed, with the goal of demonstrating proficiency in the five competencies covered in the final assessment. If learners have no prior knowledge of this material, they can expect to spend 30 to 40 hours on the course content.

Ethical Engineering introduces learners to the ethical, professional, and societal responsibilities inherent in engineering practice. Learners examine the societal, economic, environmental, and global impacts of engineering decisions; interpret professional engineering codes of ethics; and apply ethical decision-making frameworks to real-world and historical engineering cases. Through case analysis and performance-based assessment, learners develop the judgment required to navigate ethical dilemmas in traditional and emerging engineering fields responsibly.

Welcome to Composition: Successful Self-Expression! In this course, you will focus on four main topics: professional writing for a cross-cultural audience, narrowing research topics and questions, researching for content to support a topic, and referencing research sources. Each section includes learning opportunities through readings, videos, audio, and other relevant resources. Assessment activities with feedback also provide opportunities to check your learning, practice, and show how well you understand course content. Because the course is self-paced, you may move through the material as quickly or as slowly as you need to gain proficiency in the seven competencies that will be covered in the final assessment. If you have no prior knowledge or experience, you can expect to spend 30-40 hours on the course content. You will demonstrate competency through a performance assessment. There is no prerequisite for this course and there is no specific technical knowledge needed.

Health, Fitness, and Wellness focuses on the importance and foundations of good health and physical fitness, particularly for children and adolescents. This course addresses health, nutrition, and fitness, and substance use and abuse.

This is Introduction to Physical and Human Geography, a three-module course that addresses the question of what geography really is in today's complex world; how migration affects鈥攁nd has been affected by鈥攇eography; and one of the biggest present problems related to geography: climate change. Because the course is self-paced, you may move through the material as quickly or as slowly as you need to, with the goal of demonstrating proficiency in the five competencies covered in the final assessment. If you have no prior knowledge of this material, you can expect to spend 30鈥�40 hours on the course content.

Technical Communication introduces skills in editing professional communications, evaluating the impact of professional etiquette in digital environments, and in creating artifacts that are persuasive, informational, and research-based. The course also introduces skills in delivering multimedia presentations using professional verbal communication skills.

American Politics and the U.S. Constitution examines the evolution of representative government in the United States and the changing interpretations of the civil rights and civil liberties protected by the Constitution. This course will give candidates an understanding of the powers of the branches of the federal government, the continual tensions inherent in a federal system, the shifting relationship between state and federal governments, and the interactions between elected officials and the ever-changing electorate. This course will focus on such topics as the role of a free press in a democracy, the impact of changing demographics on American politics, and the debates over and expansion of civil rights. Upon completion of the course, candidates should be able to explain the basic functions of the federal government, describe the forces that shape American policy and politics, and be better prepared to participate in America鈥檚 civic institutions. This course has no prerequisite.

This course introduces learners to the foundational principles of user interface (UI) and user experience (UX) design within software engineering contexts. Learners explore visual design principles, user-centered design methodologies, wireframing and prototyping techniques, usability testing, and design-development collaboration. The course emphasizes creating functional, accessible interfaces that meet both user needs and technical requirements. This course is appropriate for learners in software engineering programs who need practical UI/UX skills for front-end development.

This course guides learners toward understanding what Software Engineering means, how it applies in the real world, and the landscape of careers in the field. It also includes a little review of programming while being appropriate for learners with little to no background in software engineering.

Java Frameworks builds object-oriented programming expertise and introduces powerful new tools for Java application development. Students will execute exception handling, Java frameworks, and other object-oriented principles and constructs to develop a complete application including a user interface. This course requires foundational knowledge of object-oriented programming and the Java language.

Advanced Java builds on object-oriented programming expertise by emphasizing multithreaded development and the use of Java frameworks to create scalable, maintainable applications. Learners will apply advanced Java techniques to design and implement software solutions that meet organizational and business requirements. The course also introduces deployment strategies using modern cloud services, enabling learners to deliver and manage applications in distributed environments. This course requires intermediate proficiency in Java and object-oriented programming.

Back-End Programming introduces students to creating back-end components of a web application with the support of framework packages. This course also teaches students how to implement database functionality in a web application and how to create web services. This course requires intermediate expertise in object-oriented programming and the Java language.

This course prepares you to recognize security vulnerabilities in software, to plan interventions to address security vulnerabilities where they exist, and to develop and test these interventions.鈥疶he course covers topics in Web security, permissions, and identity security; debugging; log file analysis; API security; and encryption and cryptography concepts.鈥�

Software Design and Quality Assurance applies a QA focus to every phase of the software development life cycle. This course investigates best practices for quality analysis, quality planning, and testing strategies as they pertain to the everyday practice of software development. Students will come to understand how their work fits into the bigger picture: how QA, testing, and code-writing practices interact within specific process models; the potential impact of new code on existing code or on other applications; the importance of usability and the influence users have on the ultimate success of an application. Students will explore test plans, test cases, unit tests, integration tests, regression tests, usability tests, and test and review tools.

This course explores modern topics, challenges, and emerging solutions in software engineering and artificial intelligence. Students analyze contemporary frameworks, methodologies, and technologies, and apply them to solve real-world problems. Through applied projects, learners design and develop software solutions, evaluate the use of emerging technologies, and assess technical, ethical, and professional implications. The course culminates in a completed application that demonstrates the ability to analyze, design, and implement a modern software solution.

This course bridges mathematics and programming by using Python to develop mathematical reasoning skills. Students create and evaluate functions to model relationships, analyze and graph algebraic and trigonometric functions, and solve problems that build readiness for calculus and object-oriented programming while using computational tools to explore patterns, precision, and real-world applications.

Calculus I introduces the fundamental ideas of limits, derivatives, anti-derivatives, and basic differential equations as tools for modeling and solving real-world problems. Students explore how functions behave, how rates of change are measured and optimized, and how derivatives lead to applications in linear approximations and optimization. The basics of how accumulated quantities (antiderivatives) are computed using the Fundamental Theorem of Calculus are also introduced. Emphasis is placed on polynomial, exponential, logarithmic, and trigonometric functions, with applications drawn from science, engineering, economics, and technology. Students will focus on conceptual understanding, graphical interpretation, and applied problem-solving rather than formal proofs. By the end of the course, students will be able to analyze change, model systems, and apply calculus techniques to practical scenarios.

Applied Discrete Mathematics introduces the foundational mathematical structures that underpin modern technology. Topics include logic, Boolean algebra, sets, functions, relations, graphs, combinatorics, and modular arithmetic, with emphasis on their applications to technology concepts such as Boolean algebra and structures, password complexity, access control models, network topologies, and cryptography. Students will not focus on abstract proofs but will instead learn how discrete mathematics informs real-world technology structures and practices. By the end of the course, students will be able to apply mathematical reasoning to technology scenarios, analyze system vulnerabilities through discrete models, and explain the mathematical principles behind technological architectures and protocols.

This course develops learners鈥� ability to analyze user and stakeholder requirements and design effective web鈥慴ased solutions using existing frameworks, assets, and web content. Learners apply computing principles and contemporary tools to implement user鈥慶entered designs that emphasize usability, accessibility, and functional page layout from multiple user perspectives. The course further strengthens learners鈥� skills in integrating application programming interfaces (APIs) and web services to add data鈥慸riven capabilities to web applications. Through applied design and implementation activities, learners demonstrate the ability to solve computing problems, evaluate design tradeoffs, and develop web solutions that meet specified functional and user requirements, consistent with professional computing practice.

This course develops foundational linear algebra knowledge and applies it to engineering and computing problems. Learners use matrix methods to formulate and solve systems of linear equations, analyze vector spaces and linear transformations to represent and manipulate multidimensional data, and determine eigenvalues, eigenvectors, and matrix factorizations to evaluate system behavior and optimize solutions. Emphasis is placed on applying mathematical principles to model, analyze, and solve real world problems, including applications in data representation, optimization, and the mathematical foundations of machine learning. The course builds on prior coursework in calculus for engineering and programming.