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Mathematics of Data Management

MDM4U-GRADE 12

Course Code:

MDM4U

Subject:

Mathematics of Data Management

Course type:

open

Prerequiste:

None

MDM4U focuses on data analysis, probability, and statistical reasoning to help students make informed decisions in personal, academic, and professional contexts.

Through hands-on investigations and real-world data, students learn how to collect, organize, and interpret information.

This course builds foundational skills in probability theory and statistical modelling—essential for future studies in business, social sciences, biology, and related fields.

Unit 1: Introduction to Statistics and Data

Students develop core skills for analyzing and interpreting data.
Lessons include:
  • Bias in Sampling Methods

  •  Measures of Central Tendency

  • Visual Data Displays

  •  Scatter Plots and Correlation

  • Linear Regression and Bivariate Data

  • Z-Scores and Standardization

Unit 2: Counting and Probability

This unit introduces foundational principles of probability.
Lessons include:
  • Basic Probability Rules

  • Events and Their Dependency

  • Counting Principles (Permutations & Combinations)

  • Applying Probability to Real Situations

Unit 3: Probability Distributions

Students explore how data can be modeled using different distributions.
Lessons include:
  • Probability Distribution Fundamentals

  •  Binomial and Hypergeometric Distributions

  •  Continuous and Normal Distributions

  • Applications of Z-scores and Probability Models

Unit 4: Data Organization and Surveys

This unit focuses on designing and analyzing data collection tools.
Lessons include:
  • Types of Statistical Data

  • Data Collection Methods

  • Survey Design and Reliability

  •  Variability, Outliers, and Sampling Strategies

Unit 5: Culminating Project and Report Writing

Students apply course concepts in an independent investigation.
Lessons include:
  • Defining a Research Problem

  • Creating an Action Plan

  • Collecting and Analyzing Data

  • Writing and Presenting a Final Report

Unit 6: Final Evaluation

Students complete a formal report and exam.
Lessons include:
  • Culminating Project Report

  • Final Exam

  • 70% of the final grade is based on coursework, including:
    • Statistical analysis assignments

    • Data interpretation and survey critique

    • Probability modeling tasks

    • Quizzes, discussions, and unit tests

  • 30% of the final grade is based on final evaluations:
    • 10% Independent culminating data project

    •  20% Final exam testing statistical understanding and probability applications

All assessments follow Ontario curriculum standards and are designed to build real-world data literacy, statistical reasoning, and decision-making confidence.

Industry-Standard Tools

Access to the latest software and hardware used in the technology industry

Expert Faculty

Learn from experienced professionals with industry background

Project-Based Learning

Develop practical skills through hands-on projects and assignments.

Career Support

Guidance for future education and career opportunities

Where Flexibility Meets Academic Excellence

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At Futures Canadian School, students earn the Ontario Secondary School Diploma (OSSD) through a fully online, Ministry-inspected program designed for success—anywhere in the world. Our flexible format, expert support, and university-prep focus empower students to reach their academic goals on their terms, while meeting the highest standards of Ontario education. Whether you're aiming for top universities in Canada or abroad, we provide a pathway that fits your pace and ambition.

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