CIS Computer Info Systems (CIS)

This course provides the student with essential topics to support Windows client devices in an enterprise network. Topics include supporting client applications in the cloud, security, basic computer networking, data storage, remote connections, shared resources, and system recovery. There are numerous hands-on labs to practice implementing computer support concepts in a real-world situation. Upon completion, students will have critical-thinking and decision-making acumen needed for success as a support specialist. CTAG approved CTIT006, effective fall 2018.

This course offers an introductory exploration of fundamental data analysis principles and decision-making processes using software tools for data manipulation, analysis, and visualization. Through a blend of theoretical learning and practical application, students develop essential skills in collecting, cleaning, analyzing, and visualizing data to facilitate informed decision-making across diverse contexts.

This course is designed to familiarize students with core information systems principles and practices. Topics include, but are not limited to, types of information systems, hardware and software, data modeling, database systems, internet technologies, systems development, careers, global and social impacts, and industry trends.

This course introduces students to the principles and practices of generating reports, creating visualizations, and utilizing Data Analysis Expressions (DAX) for data manipulation and analysis. Students will explore techniques for designing and developing visually compelling reports using modern tools, such as dashboard technology, along with gaining experience in leveraging DAX for data calculations and analysis. Through hands-on exercises and projects, students will develop the skills necessary for effective report creation, data visualization, and communication of insights derived from data analysis.

In this course students learn about IT-related projects and the five project management process groups associated with project planning. Topics will include areas from Project Integration Management, Scope Management, Time Management, Cost Management, Quality Management, Communication Management, Risk Management, Procurement Management, and Stakeholder Management. Students will use software to help build and manage projects. Upon completion, students will have skills to explore, in greater detail, various project management tools.

This course broadens student customer service skill set. The course continues to build on end user communication methods, both oral and written. Students will be exposed to Information Technology Infrastructure Library (ITIL) and Help Desk Institute (HDI) best practices.

This course builds upon foundational knowledge in data analysis and visualization, delving into advanced topics and tools to enhance analytical capabilities. Through hands-on exercises and projects, students gain experience in utilizing statistical software packages such as R or Python. The course also focuses on advanced data visualization techniques, data management and wrangling, probability distributions, statistical inference, regression analysis, and data mining.

Students explore contemporary systems and technologies impacting the field of data analytics, including the cloud, data warehousing, and data mining. Students also gain exposure to areas of technology that provide opportunities for future professional specialization, such as emerging Big Data technologies that can support the work of data analysts.