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Course Criteria
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4.00 Credits
This course prepares students with the knowledge and skills necessary for implementing, managing, maintaining and provisioning services and infrastructure in a Windows Server environment. Students configure and troubleshoot name resolution, user and group management with Active Directory Domain Services (AD DS) and Group Policy, implementing remote access solutions such as DirectAccess, VPNs and Web Application Proxy, implementing network policies and network access protection, data security, deployment and maintenance of server images, as well as update management and monitoring of Windows server. Prerequisite: Completion of MSFT 2700 or instructor approval.
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4.00 Credits
Students develop the knowledge and skills necessary for designing, implementing, and managing a Microsoft Active Directory infrastructure using graphical tools and PowerShell scripting. Students deploy, manage, and maintain Active Directory sites, Group Policy Objects (GPO), certificate authorities (CA), and Federation Services (FS). Students implement Active Directory Rights Management Services (AD RMS), and Microsoft Azure AD. Students will understand how to secure AD DS as well as monitor and troubleshoot AD DS services. Prerequisite: Completion of MSFT 2700 or instructor consent.
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4.00 Credits
Students develop the knowledge and skills necessary to design, implement, and maintain a Microsoft network infrastructure. Students install and configure Microsoft servers and network infrastructure services, including DHCP, DNS, RRAS, and develop skills needed to maintain the health of the network. By completing this course, students prepare to take the current Microsoft Network Infrastructure exam. Prerequisite: Completion of MSFT 2700 or instructor approval.
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4.00 Credits
Students develop the knowledge and skills necessary to design, implement, and manage Server Virtualization in Microsoft environments. They design, deploy, and configure virtual server environments, including Microsoft Virtual PC, Microsoft Virtual Server, Microsoft Hyper-V, Virtual Box, and VMWare. Prerequisite: Completion of MSFT 2700 or instructor approval.
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3.00 Credits
Students learn to utilize basic functionalities of the Microsoft Power Platform. These include building solutions with Power Platform, automation of basic tasks with Power Automate, data analysis with Power BI, creation of Power Apps, and building Power Virtual chat agents. Students will sit for an industry certification exam at the conclusion of this course.
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4.00 Credits
Students learn to effectively analyze and present data using Power BI. In this course, students will design and build scalable data models, clean and transform data, and enable advanced analytics capabilities within the platform. Students will be eligible to sit for an industry certification exam at the conclusion of this course. Prerequisite: Completion of MSFT 2825 or instructor consent.
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4.00 Credits
Students develop the knowledge and skills necessary to plan, design and manage technology-based projects effectively in order to meet the organization's needs. Students plan and design Microsoft systems and networks through the project management processes detailed in the Project Management Book of Knowledge (PMBOK). Students develop a project plan which addresses all phases of a successful project. Students use project management tools to aid in the design and implementation of projects. Prerequisite: Completion of MSFT 2700 or instructor approval.
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4.00 Credits
Students learn to work within the Microsoft Dynamics 365 cloud solution to develop in-depth understanding of Enterprise Resource Planning and forecasting. Students build D365 Apps to correlate data and determine core business needs. Students will sit for an industry certification exam at the conclusion of this course.
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4.00 Credits
The student applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure. This knowledge application entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production. Students will sit for an industry certification exam at the conclusion of this course.
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3.00 Credits
Students study the fundamentals of music through listening to and analyzing historical and popular music. Students will learn and apply principles of rhythm, melody, harmony, timbre, texture, and form in class discussions, homework, and in the creation of student compositions. This course is open to both music majors and non-music majors.
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