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  • Open Practices for Faculty

    Beschreibung:
    This course is intended to provide a foundation in the skills and knowledge you'll need to create, remix, adopt, or update open educational resources (OER). Specifically, by the end of the course you'll be able to: Apply backward design in order to plan learning goals, assessment, and appropriate scaffolding/support, Describe the meaning of open educational resources, Locate open educational resources relevant to course learning outcomes, Properly attribute works offered under a Creative Commons license, Identify and create works that are accessible to all students, Add a Creative Commons license to your own work and share back with your disciplinary community.
    Fach:
    Educational Technology and Information Science
    Schöpfer:
    Michaela Willi Hooper
    Herausgeber:
    Linn-Benton Community College
    Sprache:
    English
    Datum erstellt:
    2019
    Resource Type:
    Full Course

  • CIS 125D - Introduction to Databases

    Beschreibung:
    This course is designed to use technology as a productivity tool within a business environment through the use of database software. You will use database software for creating tables, forms, and reports by manipulating data through various query tools. Course Outcomes: 1. Produce a simple relational database that stores information. 2. Create queries that retrieve specified information. 3. Create forms for entering data into the database. 4. Produce informative reports with the information in the database
    Fach:
    Information Science
    Schöpfer:
    Linn Benton Virtual College
    Resource Type:
    Full Course

  • MTH 105 - Introduction to Contemporary Math

    Beschreibung:
    A survey course in mathematics for students in the liberal arts and other non-science majors. Topics are selected from areas such as management science, statistics, social choice, the geometry of size and shape, and computers and their applications. Emphasizes the application of mathematics to the problems of contemporary society and the critical role these applications play in economic, political and personal life. Course Outcomes: 1. Formulate questions that can be addressed with data, then organize, display and analyze relevant data to address these questions and communicate results. 2. Apply the basic principles of study design to develop and analyze the validity of simple experiments. 3. Demonstrate numeric and algebraic reasoning skills to support statistical analysis and financial literacy. 4. Construct, use, and interpret mathematical models, specifically linear, quadratic, logarithmic, and exponential functions, to represent relationships in quantitative data.
    Fach:
    Information Science
    Schöpfer:
    Linn Benton Virtual College
    Resource Type:
    Full Course