3519 South Giles Avenue
Chicago, IL 60653
2015-16
Department : Mathematics
Department Chair : Miss Krista Leskinen
Instructor : Miss Krista Leskinen
Phone number: 773.534.9750
Email: kmleskinen@cps.edu
Office Hour: Monday 3:15-4:15
The Skills-based Learning and Assessment Curriculum of the Chicago Military Academy at Bronzeville is a standardsbased curriculum designed to provide cadets with skills mastery of the Common Core State Standards and ACT College
Readiness Standards. Within these standards frameworks, course objectives are defined as a compilation of the skills and knowledge identified herein. The Critical Benchmark Skills List constitutes the learning standards of this course.
1. Course Description
College Mathematics course is a rigorous, college preparatory class designed for students to become successful and independent learners. This class is a continuation of the Advanced Algebra course and prepares students for any introductory level college mathematics courses. Students will have an opportunity to discover the practical power of mathematical concepts implemented geometrically, numerically, algebraically and verbally in an inquiry-based learning approach. The use of technology, projects, writing assignments, group learning and modeling will connect students' conceptual understanding to real life applications. This course includes the following key concepts: linear and non- linear relationships, modeling with functions, introduction to sequences and series, and inferences with conclusion from data.
Some examples of the topics will include: modeling with equations and inequalities, interpreting and building functions, arithmetic and geometric sequences, using probability to make decisions, and evaluate reports based on data.
Not only will students develop an appreciation of how math is an integral part of their everyday life, but they will become better mathematicians as well.
Prerequisites : Advanced Algebra
2. Course Resources
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TI-83 calculator (provided)
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Folder (provided)

3. Course Requirements
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Each student is expected to actively participate in class each day. Students are required to arrive to class on time, fully prepared with all of the required class materials, remain on task and contribute during class activities. This is graded in the executive function category.
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Students are required to complete all assignments in a timely manner to practice all of the skills introduced during class.
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Student progress is evaluated in the form of benchmark assessment on a weekly basis (approximately). A student must achieve at least 70% on each quiz. If a student does not earn 70% on a quiz, he/she will attend academic augmentation to review the skill and re-take the quiz until the student achieves at least 70%. The maximum score a student can earn on a re-take quiz is 70%.
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A benchmark exam is given at the end of the quarter, and at the end of the semester, covering all of the benchmark skills learned during the quarter (i.e. there will be 7 benchmark skills covered on the first quarter exam).
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Approximately each month, students are assigned a Problem of the Month to complete. Students will have class time to work on the problem, but it will require time outside of class to complete as well.
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Please note that all assignments are vital in practicing and mastering math skills and are a required part of the course.
Computation of Grades: Grading Scale
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Benchmark Assessments:
Benchmark Assignments:
Executive Functions:
70%
20%
10%
A
B
C
D
F
90%-100%
80%-89%
70%-79%
60%-69%
Below 60%
Each quarter students will learn seven to ten benchmark skills. Listed below are the benchmark skills that will be covered during the first quarter. Check the website at the start of quarters 2, 3, and 4 to see the skills that will be included in that quarter.
1. Make inferences and justify conclusions from sample surveys, experiments, and observational studies. (S-IC)
2. Create equations in two or more variables to represent relationships between quantities. (A-CED.2)
3. Represent constraints by equations or inequalities, and by systems of equations and/or inequalities and interpret solutions as viable or nonviable options in a modeling context. (A-CED.3)
4. Summarize, represent, and interpret data on two categorical and quantitative variables. (S-ID)
5. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. (S-ID)
6. Calculate expected values and use them to solve problems (S-MD)
7. Use probability to evaluate outcomes of decisions. (S-MD)
CCSS Codes
S-IC = Stats - Making Inferences & Justifying Conclusions
S-MD = Stats - Using probability to make decisions
S-ID = Stats – Interpreting Categorical & Quantitative Data
A-CED = Algebra – Creating Equations