MATHEMATICS DEPARTMENT
Course Code: MDM4U
Course Name: Mathematics of Data Management
Level: Grade 12 University Preparation
Instructor:
Period:
Room Number:
Course Overview:
This course broadens students’ understanding of mathematics as it relates to managing information. Students will apply
methods for organizing large amounts of information; apply counting techniques, probability, and statistics in modelling and
solving problems; and carry out a culminating project 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.
Prerequisite: Functions and Relations Grade 11 University Preparation or Functions Grade 11 University/College Preparation
Connection to our Catholic Faith:
Specific
Strands
of to
Study
Expectations
include:
Students
will apply
Catholic values
pose andand
solve problems,
to make logical
decisions, and to become critical thinkers who share their
abilities for the benefit of all in their classroom and school community. A supportive mathematics classroom provides a caring and
sensitive environment where the dignity and value of all students is respected and affirmed as they grow in confidence in their
mathematical abilities. Mathematical investigations will promote a respect for God’s creation and an understanding of the need to use
resources wisely. A student will become self-directed, responsible and life-long learner in the mathematics classroom.
Specific Strands of Study and Expectations include:
Organization of Data for Analysis:
1. Organize data to facilitate manipulation and retrieval.
2. Solve problems involving complex relationships, with the aid of diagrams.
3. Model situations and solve problems involving large amounts of information, using matrices.
Counting and Probability:
1. Solve counting problems and clearly communicate the results.
2. Determine and interpret theoretical probabilities, using combinatorial techniques.
3. Design and carry out simulations to estimate probabilities.
Statistics:
1. Demonstrate an understanding of standard techniques for collecting data.
2. Analyse data involving one variable, using a variety of techniques.
3. Solve problems involving the normal distribution.
4. Describe the relationship between two variables by interpreting the correlation coefficient.
5. Evaluate the validity of statistics drawn from a variety of sources.
Integration of the Techniques of Data Management:
1. Carry out a culminating project on a topic or issue of significance that requires the integration and application of the
expectations of the course.
2. Present a project to an audience and critique the projects of others.
Efforts will be made to meet the individual learning needs of students in order to ensure
these expectations are being met.
Course Breakdown
Resources: The course will use a variety of resources including
to1:ensure
these
Unit
Permutations
Unit 2: Combinations
Unit 3: Introduction to Probability
Unit 4: Probability Distributions For Discrete Variables
Unit 5: Organization of Data for Analysis
Unit 6: One-Variable Data Analysis
Unit 7: Two-Variable Data Analysis
Unit 8: Probability Distributions For Continuous Variables
Unit 9: Culminating Project: Integration of the Techniques of
Data Management
video, CD-ROM, Internet Applications and a variety of print sources.
The textbook, McGraw-Hill Ryerson Mathematics of Data
Management, will be distributed to students during the first week of
the course. The text and all other resources assigned to students are
the responsibility of the student. Any damage incurred will result in
payment for replacement ($100.00).
Evaluation Structure:
Knowledge/Understanding
30 %
Application
30 %
Communication
20 %
Thinking
20 %
The above is reflected both in the term work (worth 70% of the final
mark) and the CPT and Final Exam (30%).
Evaluation Policy Students will be assessed & evaluated according to the work produced & skills displayed. Methods of providing
feedback will include assessing work in process & evaluating completed assignments, tests, co-operative learning activities, simulations
and presentations. Peer & self-evaluations will also be utilized. Student marks will be determined by evaluating process & product
according to 4 categories & 4 levels. Please see the chart below for specific skills and key words used to determine student competency
in the different categories.
Level
Level 1:
Level 2:
Level 3:
Level 4:
Category
50-59%
60-69%
70-79%
80-100%
Knowledge/Understanding
-Limited display
-Some success
-Considerable
-Thorough
of
knowledge,
in
displaying
display
of
understanding of
 Knowledge of facts & terms
skills
and
ability
knowledge,
knowledge
skills
concepts and
 Understanding of concepts & relationships
to
apply
skills
and
and
ability
to
apply
ability to
Thinking/Inquiry
concepts
application
of
concepts
communicate,
 Critical thinking skills
concepts
think creatively
 Creative thinking skills
and apply concepts
 Inquiry Skills
Communication
 Communication of ideas and information
 Use of symbols & visuals
 Oral & written communication
Application
 Applications in familiar contexts
 Transfer of concepts to new contexts
 Making logical conclusions and predictions
 Use of technology
 Making connections
Feedback will also be provided for student learning skills. Skills such as responsibility, organization, independent work, collaboration, initiative and self
regulation are assessed independently student achievement and will be conducted through the use of a rubric indicating specific criteria to be
achieved to receive each of the following letter grades:
E –Excellent
G – Good
S – Satisfactory
N - Needs Improvement
Other Evaluation Issues




LATE ASSIGNMENTS. Assignments submitted after the Primary Due Date established by the teacher will be accepted with a penalty
of 5% off for the first day late and 2% for subsequent days to a maximum of 10%. This four day Penalty Zone is the maximum time
allowed for submissions. The fourth day after the assignment is due is considered the Closure Date upon which no further
assignments will be accepted. If the teacher returns the marked assignments within the four day penalty zone, the date of return is
considered the closure date. Repeated lateness in submissions indicates poor organization skills and will result in parental contact
and will be reflected in the learning skills section of the report card.
INCOMPLETE ASSSIGNMENTS Assignments will be graded according to the extent with which they meet the criteria established in
the rubric or evaluation structure.
MISSED TESTS Tests missed with a legitimate reason will be written within a few days of the student returning from the absence.
Student eligibility to write the test and the date of writing will be at the discretion of the teacher in consultation with the
department head.
Plagiarism in any form reflects academic dishonesty and will result in a mark of zero for the assignment in question