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College Mathematics 10804107

  • 3.00 credits
  • Mathematics
  • $598.81

    • This course is designed to review and develop fundamental concepts of mathematics in the areas of algebra, geometry, trigonometry, measurement and data. Algebra topics emphasize simplifying algebraic expressions, solving linear equations and inequalities with one variable, solving proportions and percent applications. Geometry and trigonometry topics include; finding areas and volumes of geometric figures, applying similar and congruent triangles, applying Pythagorean Theorem, and solving right triangles using trigonometric ratios. Measurement topics emphasize the application of measurement concepts and conversion techniques within and between U.S. customary and metric system to solve problems. Data topics emphasize data organization and summarization skills, including: frequency distributions, central tendency, relative position and measures of dispersion. Special emphasis is placed on problem solving, critical thinking and logical reasoning, making connections, and using calculators.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #07VC Spring
    Open
    03/23/2026 –
    05/20/2026
    		Online Flexible Due Dates Online
    Mar 23 – May 20
    -
    Online
    Amy Pippenger
    		$598.81

    Data Visualizations 2 10156117

  • 1.00 credits
  • IT - Data
  • $171.29

    • Builds on Data Visualizations 1 and emphasizes choosing proper charts for quantitative and time-series analysis. Learners build effective dashboards and tell effective stories based on audience needs and analytical comfort. Learners contrast the ways in which data visualization can be used to tell truthful and untruthful stories.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Spring
    Open
    03/23/2026 –
    05/22/2026
    		Online Required Due Dates Online
    Mar 23 – May 22
    -
    Online
    J.J. Minarcin
    		$171.29

    Ethics and Implications of AI 10156123

  • 1.00 credits
  • IT - Data
  • $171.29

    • Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Spring
    Open
    03/23/2026 –
    05/22/2026
    		Online Required Due Dates Online
    Mar 23 – May 22
    -
    Online
    Joshua Stutting
    		$171.29

    Introduction to R 10156114

  • 1.00 credits
  • IT - Data
  • $171.29

    • Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Spring
    Open
    03/23/2026 –
    05/22/2026
    		Online Required Due Dates Online
    Mar 23 – May 22
    -
    Online
    J.J. Minarcin
    		$171.29

    Math with Business Apps 10804123

  • 3.00 credits
  • Mathematics
  • $598.81

    • This course integrates algebraic concepts, proportions, percents, simple interest, compound interest, annuities, and basic statistics with business/consumer scenarios. It also applies math concepts to the purchasing/buying and selling processes.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #03VC Spring
    Open
    03/23/2026 –
    05/20/2026
    		Online Flexible Due Dates Online
    Mar 23 – May 20
    -
    Online
    May Shaw
    		$598.81

    Python for Data Analytics 10156103

  • 1.00 credits
  • IT - Data
  • $171.29

    • Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Spring
    Open
    03/23/2026 –
    05/22/2026
    		Online Required Due Dates Online
    Mar 23 – May 22
    -
    Online
    Zachary Thunder
    		$171.29