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Course Criteria
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3.00 Credits
Course focuses on a theoretical and hands-on exploration of business intelligence and analytics. It covers current best practices in statistical and quantitative analysis using large-scale data sets, exploratory and predictive models, and evidence-based methods to improve business decisions and actions. Dual listed with IT 4060 (students may only take one course for credit). **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify the key components and concepts associated with big data analytics. 2. Apply big data and statistical best practices to collect, cleanse, transform, and store large-scale data for subsequent analysis. 3. Analyze large-scale data sets to identify hidden patterns. 4. Evaluate data models using best practices. 5. Create recommendations for improving business decisions based on the data analysis. Prerequisites: ISA 3020 (Grade C- or higher). FA
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3.00 Credits
A focus on the methods, tools and processes to effectively visually encode and present insights discovered from previously analyzed data. It includes practice transforming simple and complex data analysis outputs into relevant, accurate, and effective visual displays to improve communication and decision making. Dual listed with IT 4070 (students may only take one course for credit). **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify the key components and concepts associated with data visualization. 2. Recognize the ethical and financial consequences of poor data visualization techniques. 3. Differentiate between effective and ineffective methods in data analysis reporting. 4. Create graphically encoded data into useful formats from previously analyzed data. 5. Demonstrate the accurate communication of statistical findings for real world big data problems to decision makers with diverse skill levels. Prerequisites: ISA 2010 or ISA 2011 (Recommended) Grade C- or higher. SP
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1.00 - 3.00 Credits
Elective analytics course for information systems and analytics students and open to other majors. Students get hands on experience working with analytics projects for the community. Course may be repeated for up to 6 credits. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Define and scope an advanced analytics or data science project to fit the needs of a community partner. 2. Apply appropriate industry standard analytics ideas, methodologies, and tools. 3. Create value, insight, and knowledge using data science skills and principles. Prerequisites: Instructor Permission required.
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3.00 Credits
The project management course introduces students to the main stages of effectively managing the work of a team to achieve desired objectives. These stages include: initiating, planning, executing, controlling, and closing. It covers common pitfalls and best practices for successful management of a project. Software tools to facilitate the process will also be introduced. Finally, students will practice relating with stakeholders and team members in a professional manner. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Describe best practices for managing projects of various sizes including quality, time, cost, scope, risk, and success factors. 2. Identify common project pitfalls and strategies for avoiding them. 3. Identify resources needs, constraints, and estimate costs for each stage of the project life cycle. 4. Articulate roles to team members and clearly identify responsibilities and accountability. 5. Use good project management skills in a real world scenario including alignment with the organization's strategic plan, resolving differences, tracking progress, and making adjustments as necessary. 6. Analyze software tools to enhance the project management process. 7. Collaborate with stakeholders and project members in a professional manner. SP
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3.00 Credits
Capstone course requiring the completion of an aggressive information systems and analytics project. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Plan, identify, and design an ISA related project using industry standard techniques. 2. Communicate effectively with stakeholders on project progress and produce professional quality written and oral ISA reports that meet their needs. Prerequisite: Senior Standing, OR Instructor Permission. SP
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3.00 Credits
Required of all Computer and Information Technology majors, and open to students with a general interest in computer operating systems. Introduces operating system concepts, including file systems, process management, user management, and security. Students will install and configure LINUX and MAC OSX. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Use basic Linux commands to interact with directories, files, processes, and the system. 2. Navigate the Linux filesystem hierarchy in order to create, delete, and manipulate files. 3. Manipulate files using a text editor from the command line. 4. Perform basic administration tasks 5. Identify Linux commands and their proper usage. FA, SP
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3.00 Credits
This course covers installation, repair and maintenance of computer hardware. It also discusses installation, repair and maintenance of the Microsoft Windows operating system. This course prepares the student to take the CompTIA A+ certification exams. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1.Select and configure PC computer hardware. 2. Install, repair and support PC computer hardware. 3. Install, repair and support the Microsoft Windows operating system. 4. Pursue the latest industry COMPTIA A+ certification. Course fee required. FA, SP
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1.00 Credits
This course will provide students an introduction to the cloud. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to 1. Demonstrate knowledge of AWS Cloud concepts. 2. Create and utilize cloud resources. 3. Apply security and compliance knowledge within the AWS Cloud. 4. Describe the core AWS services. 5. Explain the economics of the AWS Cloud. Course Fee required. FA, SP
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3.00 Credits
Covers administration of database management systems, logical database design, implementation of database designs, and application development using a DBMS. Students will design, manage, and implement databases and applications that use databases. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Design an effective database system. 2. Demonstrate the proper use of database normal forms. 3. Demonstrate the proper use of the SQL programming language. Course fee required. Prerequisites: CS 1400 (Grade C or higher) AND IT 1100 (Grade C or higher); OR CS 1410 (Grade C or higher). FA, SP
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3.00 Credits
Required of all Computer Science and Computer and Information Technology majors, and open to students with a general interest in computer networking. Introduces fundamental concepts of computer networks, including physical, transport, and application layers through completion of assignments predicting and measuring the behavior of computer networks under various conditions. IT 1100 and IT 1500 can be taken concurrently. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Pursue the CompTIA Network+ certification. 2. Explain how the Internet works. 3. Design, connect and implement a computer network. 3. Define and use several different Internet protocols. 4. Describe the TCP/IP and OSI protocol stacks and what happens at each layer. 5. Use networking tools to troubleshoot network problems. Course fee required. Prerequisites: IT 1100 (Grade C or higher) (can be taken concurrently); AND IT 1500 (Grade C or higher) (can be taken concurrently). FA, SP
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