Course Details
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Course Code

MDM4U

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OSSD Credit Value

1.0

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Pre-requisite

MCR3U or MCF3M

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Tuition Fee

Canadian students $850 CAD; International students $1500 CAD

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Introduction

This course broadens students' understanding of mathematics as it relates to managing data. Students will apply methods for organizing and analysing large amounts of information; apply counting techniques, probability, and statistics in modelling and solving problems; and carry out a data management investigation that integrates the expectations of the course and encourages perseverance and independence. Students planning to pursue university programs in business, the social sciences, or the humanities will find this course of particular interest.

Overall Course Expectations

Throughout this course, students will learn the following:

A. Counting and Probability
A1 solve problems involving the probability of an event or a combination of events for discrete sample spaces;
A2 solve problems involving the application of permutations and combinations to determine the probability of an event.
B. Probability and Distributions
B1 demonstrate an understanding of discrete probability distributions, represent them numerically, graphically, and algebraically, determine expected values, and solve related problems from a variety of applications;
B2 demonstrate an understanding of continuous probability distributions, make connections to discrete probability distributions, determine standard deviations, describe key features of the normal distribution, and solve related problems from a variety of applications.
C. Organization of Data for Analysis
C1 demonstrate an understanding of the role of data in statistical studies and the variability inherent in data, and distinguish different types of data;
C2 describe the characteristics of a good sample, some sampling techniques, and principles of primary data collection, and collect and organize data to solve a problem.
D. Statistical Analysis
D1 analyse, interpret, and draw conclusions from one-variable data using numerical and graphical summaries;
D2 describe the characteristics of a good sample, some sampling techniques, and principles of primary data collection, and collect and organize data to solve a problem.
D3 demonstrate an understanding of the applications of data management used by the media and the advertising industry and in various occupations.
E. Culminating Data Management Investigation
E1 design and carry out a culminating investigation* that requires the integration and application of the knowledge and skills related to the expectations of this course;
E2 communicate the findings of a culminating investigation and provide constructive critiques of the investigations of others.

Read more of curriculum expectations

Ministry of Education Curriculum

This is an OSSD credit course that has been developed based on the following Ontario Ministry of Education documents

  • Mathematics, The Ontario Curriculum, Grades 11 and 12, 2007 (Revised)
  • Growing Success: Assessment, Evaluation, and Reporting in Ontario Schools (2010)

Resources required by the student

  • A scanner, smart phone camera, or similar device to upload handwritten or hand-drawn work
  • A front-facing camera on a desktop, laptop, or mobile device to allow for proctoring over the internet
  • Internet access and a modern standards-compliant web browser
All course content is accessed online.

Assessment & Evaluation

The assessment and evaluation strategies of our school follows the Ministry of Education's Growing Success document. Growing Success articulates the vision the Ministry has for the purpose and structure of assessment and evaluation techniques.
Assessments help to monitor student progression and provide reflection and feedback. Evaluation is the process of judging the quality of student work in relation to the achievement chart categories and criteria, and assigning a percentage grade to represent that quality. Evaluation is based on gathering evidence of student achievement through:

  • Products
  • Observations
  • Conversations

The Final Grade

  • The evaluation for this course is based on the student's achievement of curriculum expectations and the demonstrated skills required for effective learning. The final percentage grade represents the quality of the student's overall achievement of the expectations for the course and reflects the corresponding level of achievement as described in the achievement chart for the discipline. A credit is granted and recorded for this course if the student's grade is 50% or higher. The final grade will be determined as follows:

    70% of the grade will be based upon evaluations conducted throughout the course. This portion of the grade will reflect the student's most consistent level of achievement throughout the course, although special consideration will be given to more recent evidence of achievement. 30% of the grade will be based on final evaluations administered at the end of the course. The final assessment may be a final exam, a final project, or a combination of both an exam and a project.

Tuition and Refunds

This is our premium course with outstanding video lectures. The tuition for this course is $850 CAD for Canadian students and $1500 CAD for international students.

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Refunds

In addition to the free trial, we also offer full refund if students withdraw from the course prior to the mid-term point of the course.

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