Courses Minor: Data Analytics

Learners in this course evaluate and perform linear, exponential, logarithmic, and other mathematical functions that include algebraic, graphic, and numeric properties. Learners then apply these concepts to the social and natural sciences, business, and everyday life.

Learners build an understanding of mathematical analysis techniques. Learners apply number logic and set theory, functions and sequences, relations equivalence, partial order, digraphs, recurrence relations, counting techniques, logic and techniques of proof, graphs, and algorithms to the fields of business and information technology. Prerequisite(s): MAT1050.

Learners in this course use fundamental terminology, concept analysis, and practical knowledge of the components of computing systems to develop their understanding of the information technology field. Throughout the course, learners also build, demonstrate, and apply skills needed for professional communication. For BS in Information Technology learners only. Must be taken during the learner’s first quarter. Cannot be fulfilled by transfer or credit for prior learning.

This course is an introduction to the fundamental concepts of databases and database management systems (DBMS). Learners demonstrate vocabulary, component requirements, sorting and querying, and maintenance of simple databases using the fundamentals of database manipulation. Learners also apply Structured Query Language (SQL) and relational database management systems (RDBMS).

This course introduces learners to the programming discipline and prepares them to serve as Java programmers. Learners study and apply the fundamentals of the Java programming language such as data types, variables, expressions, statements, and methods. Learners also examine and practice the Java-object-oriented features of classes and objects. The course offers numerous opportunities for analyzing, designing, coding, testing, debugging, and evaluating Java programs in an authentic Java development environment.

Learners gain an understanding of the key concepts underlying Local Area Network (LAN), Metropolitan Area Network (MAN), and Wide Area Network (WAN). Learners examine the layered architecture of the network protocol stack, including the OSI and the TCP/IP models, and apply the principles of designing networks and implementing network protocols. Learners also apply topics of network topologies, cloud computing, networking devices, cabling, and basic network security.

Learners analyze core enterprise organizations, business processes, and information technology infrastructures. Learners apply their knowledge of the relationships between an enterprise organization’s business and information technology goals with IT operational models. IT ethical principles integrated throughout the class include examination of IT codes of ethics, ethical issues involving the use of employer resources, and examination of web technology and cybercrime.

In this course, learners build fundamental web design and development skills. Using a local development environment, learners develop websites using HTML and apply styling to each page using CSS. Learners develop client-side scripting using JavaScript to enable website interactivity and to enhance the user experience. Finally, learners deploy their websites to a cloud environment for testing. Prerequisite(s): Completion of or concurrent registration in IT1006.

In this course, learners evaluate the analysis and design of system industry standards and best practices. Learners research key components of system analysis including determining system objectives, business rules, and the identification of stakeholders. Learners also investigate human interface technologies and diverse human factors for a more engaging user experience. Learners apply their knowledge by creating a Software Development Plan (SDP) with components including identification of an agile methodology, system scope, technical standards, activity diagrams, logical process validation, and maintenance expectations.

In this course, learners demonstrate their knowledge of hardware and operating systems, focusing on peripherals and file management. Learners use modern operating systems, including Windows, Linux, and MacOS to demonstrate their skill with hardware and operating systems. Prerequisite(s): IT3170.

Learners apply features and techniques beyond the basics of the Java programming language to develop applications of moderate complexity. Learners analyze advanced object-oriented programming concepts like inheritance, polymorphism, interfaces, and abstract classes. Learners also investigate programming Graphical User Interface (GUI) applications with Java and the Java rich library of data structures like lists, stacks, and queues. Prerequisite(s): IT2249.

Learners in this course demonstrate their knowledge of information security fundamentals. Learners apply their understanding of the concepts of confidentiality, integrity, and availability to securing organizational assets.

In this course, learners build an understanding of the fundamental basics of project management and gain a broad overview of project management standards and their applicability to both business and IT projects. This course emphasizes management theories, concepts, tools and techniques defined by the Project Management Institute (PMI^®) including the Process Groups and Knowledge Areas. This course also introduces other project management methodologies and frameworks, with an emphasis on Agile.

This course covers legal and ethical issues pertaining to information security and privacy. Learners demonstrate an understanding of core organizational processes and workflows and how these factors impact core data processes. Prerequisite(s): ACS1003 or BUS3007 or IT2230.

In this course, learners use data mining and analytics tools to identify, evaluate, and prepare data for analysis. Learners also take an advanced look at the role of statistical analysis in solving real world problems, timely, and effectively completing data analytics projects. Prerequisite(s): IT2230. Background in foundational statistics or MAT2001 recommended.

Learners in this course examine the final phase of an effective data analytics project when the results of the project are shared with the appropriate audience, using the best timing and approach. Learners explore the various options and technologies available as tools to share data with a variety of types of audiences. Topics include factors that influence how to effectively present data using particular tools in a data analytics project. Prerequisite(s): ACS1003 or BUS3007 or IT2230.

In this course, learners investigate the fundamental problems, theories, and algorithms of the field of artificial intelligence (AI), including heuristic search and game trees, knowledge representation, automated deduction, and its applications, problem-solving and planning, and an introduction to machine learning and other techniques to employ AI. Learners gain an understanding of the fundamental theories of artificial intelligence and evaluate opportunities for applying AI. Prerequisite(s): IT2230, IT2249.

Learners in this course investigate distributed and cloud-based technologies used within the IT industry, and the impact those technology selections have on data distribution and analytics. Learners analyze the impact of data storage technologies on the use of data and how data security and privacy controls within storage technologies constrain or support access to that data. Learners apply data storage technologies and tools to determine how they impact the management and analysis of data. Prerequisite(s): IT2230.

In this course, learners apply knowledge and skills from other courses as they develop a project that benefits an organization, community, or industry. Learners prepare a proposal that includes a project description, deliverables, completion dates, and associated learning. Upon approval from the instructor, learners execute the proposal, record their progress weekly using a project tracking website, and produce a final project report. For BS in Information Technology learners only. Must be taken during the learner’s final quarter. Cannot be fulfilled by transfer or credit for prior learning.