MDM4U – Mathematics of Data Management
Course Title: Mathematics of Data Management (MDM4U), Grade 12, University Preparation
Course Name: Mathematics of Data Management
Course Code: MDM4U
Grade: 12
Course Type: University Preparation
Credit Value: 1.0
Prerequisite: Functions, Grade 11, University Preparation, or Functions and Applications, Grade 11, University/College Preparation
Course Description:
This course broadens students’ understanding of mathematics as it relates to managing and analyzing data. Students will study probability, statistics, data organization, and discrete and continuous distributions, and complete a culminating investigation integrating these concepts. Emphasis is placed on applying mathematical reasoning, interpreting results, and solving real-world problems. The course prepares students for university programs in business, social sciences, humanities, and STEM fields involving data analysis.
Unit Overview:
| Unit Title | Total Allocated |
|---|---|
| Unit 1: Introduction to Probability | 18 hrs |
| Unit 2: Probability involving Counting Principles, Permutations, and Combinations | 18 hrs |
| Unit 3: Discrete Probability Distributions | 18 hrs |
| Unit 4: Organization of Data for Analysis | 15 hrs |
| Unit 5: One and Two Variable Statistics | 17 hrs |
| Unit 6: Continuous Probability Distribution – Normal Distribution | 12 hrs |
| Unit 7: Culminating Activities | 10 hrs |
| Final Exam | 2 hrs |
| Total | 110 hrs |
Assessment:
Students demonstrate achievement through assignments, projects, problem-solving tasks, quizzes, and formal testing.
| Assessment Category | Percentage |
|---|---|
| Knowledge and Understanding | 25% |
| Thinking and Inquiry | 25% |
| Communication | 25% |
| Application | 25% |
Tips for Success – MDM4U (Mathematics of Data Management):
Welcome to MDM4U: Grade 12 Mathematics of Data Management – University Preparation! To succeed, check announcements and course messages daily, follow the course calendar, and complete all assignments, problem sets, projects, and data analysis tasks on time. Plan for 1–2 hours of focused study each day, review instructions and rubrics carefully, and practice consistently with probability and statistics problems. Use simulations, data visualization tools, and teacher feedback to strengthen understanding. Staying organized, persistent, and engaged will prepare you for university programs and real-world applications involving data analysis and mathematical reasoning.
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