dat305 | undergraduate

Data Structures For Problem Solving

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This course provides a foundational workshop on data structures, which is a functional component of business intelligence (BI) within an organization. Building upon basic programming and database structure, this course builds competencies for the student to recognize the structure of data contained in deployed enterprise information systems.

This undergraduate-level course is 5 weeks This course is available to take individually or To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Trees, Tree Algorithms, and Graph Algorithms

    • Explain advantages and disadvantages of using tree and graph algorithm concepts in a data systems application.
    • Develop and describe a sample of a tree algorithm in pseudocode.
    • Explain the purpose and usability of tree and graph algorithm techniques.
    • Apply tree and graph algorithm concepts as they relate to an organization data system.

    Customer Relationship Management (CRM) and Technology

    • Explain the use of a data structures to solve organizational problems.
    • Apply data structure concepts in an organization.
    • Build a pseudocode data structure to solve a provided organizational problem.

    Test and Analysis

    • Explain the purpose and usability of data structure test and analysis techniques in a data system application.
    • Analyze an organization’s data structure.
    • Identify an organization’s common data-oriented object expression.

    Recursion

    • Demonstrate how to apply recursion concepts as they relate to an organization’s data system.
    • Explain advantages and disadvantages of using recursion concepts in a data systems application.
    • Develop and describe a sample of a recursion routine in pseudocode.

    Sorting and Searching

    • Explain the purpose of sorting and searching techniques and concepts in a data system application.
    • Demonstrate how to apply sorting and searching concepts as they relate to an organization data system.
    • Explain advantages and disadvantages of using sorting and searching concepts in a data systems application.
    • Develop and describe samples of sorting and search algorithms in pseudo code.
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    While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with a University Enrollment Representative.

    Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.