Year 12 VCE General Maths

In Year 12, through Realus's unique O2O teaching model, we employ the "Three-Cycle Learning Method" to systematically review all key concepts, strengthen students' comprehensive application skills, and enhance their exam techniques.

This ensures that students perform at their best in the final VCE exams, maximising their potential.

Year 12 VCE General Maths

Teaching Highlights

Year 12 VCE General Maths

Philosophy

At Realus, our educational philosophy is centered on systematic instruction and effective academic improvement.
Drawing on years of experience, our research and teaching team has innovatively developed the VCE Excellence Program, which incorporates two core educational principles: "Advanced Learning" and the "Three-Cycle Review Method." We encourage students to discover the joy of learning through exploration and practice, fostering critical thinking to analyse the depth and breadth of knowledge and its application in the real world.

Year 12 VCE General Maths

Goal

From Year 7 to Year 10, we ensure students' academic growth while focusing on cultivating their independent thinking, creativity, and a lifelong learning attitude. In Years 9 and 10, we begin guiding students to engage with VCE exam content.

Following the concept of "advanced learning," we introduce VCE content in Years 9 and 10. This approach ensures that by the end of Year 11, students will have mastered all the essential VCE exam content, with additional extension where necessary.

Utilising the "Three-Cycle Revision Method," we systematically review all key knowledge points in Year 12. This approach strengthens students' comprehensive application abilities, enhances exam techniques, and ensures that students can perform at their best in the final VCE exams, maximising their personal potential.

Year 12 VCE General Maths

REALUS O2O (Offline-to-Online) Teaching Model

Learn: Systematic curriculum structure.

Practice: In-class practice combined with homework for reinforcement.

Test: Periodic tests to identify gaps and reinforce learning thoroughly.

Evaluate: Learning report feedback, connecting school and home.

Assist: Detailed homework analysis and an educational consultation platform.

Characteristics

  • Rigorous and Engaging Teaching Materials
  • Quality Classroom
  • Scientifically Effective Practice Model
  • Professional and Dedicated Teaching Service Team

Rigorous and Engaging Teaching Materials

The REALUS teaching and research team has developed scientific, rigorous, and engaging teaching materials.

The curriculum is designed with spiral knowledge arrangements, comprehensive course layouts, and progressive exercises, providing students with a complete and systematic learning experience.

  • Rigorous and Engaging Teaching Materials Right Arrow
  • Quality Classroom Right Arrow
  • Scientifically Effective Practice Model Right Arrow
  • Professional and Dedicated Teaching Service Team Right Arrow

Year 12 VCE General Maths Course Details

Learning Targets and Stage Capability

  • Term 1

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  • Term 2

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  • Term 3

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  • Term 4

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Learning Targets and Stage Capability

  • Term 1

    terms
  • Term 2

    terms
  • Term 3

    terms
  • Term 4

    terms
  • Term 1
  • Term 2
  • Term 3
  • Term 4

Term 1

Lesson 1: Univariate Data Part I

Lesson 2: Univariate Data Part II

Lesson 3: Univariate Data Part III

Lesson 4: Bivariate Data Part I

Lesson 5: Bivariate Data Part II

Lesson 6: Data Transformation and Time Series

Lesson 7: Revision and Data Analysis Chapter Test

Lesson 8: Recursion and Financial Modelling Part I

Lesson 9: Recursion and Financial Modelling Part II

Lesson 10: Revision and Financial Modelling Chapter Test

  • Term 1 Right Arrow
  • Term 2 Right Arrow
  • Term 3 Right Arrow
  • Term 4 Right Arrow

Year 12 VCE General Maths

Course Details

Learning Targets and Stage Capability

Term 1

Achieved

Goals to be Achieved

  • Master the basic concepts and methods of univariate and bivariate data analysis.
  • Understand the characteristics of data distribution and use various graphs to describe data.
  • Learn to calculate and interpret measures of central tendency and dispersion.
  • Understand the application of normal distribution and standard scores.
  • Master the basic methods of regression and correlation analysis.
  • Understand recurrence relations and their applications in modelling.
  • Learn to model linear and geometric growth and decay using recurrence relations.
  • Master the calculation and application of nominal and effective interest rates.
  • Understand the creation and use of amortization tables.
Reached

Competencies to be Reached

  • Differentiate between numerical and categorical variables and describe categorical variables using frequency tables and bar charts.
  • Calculate and interpret the mode, median, and mean, and describe the shape of data.
  • Apply measures of dispersion such as the interquartile range and standard deviation.
  • Draw and interpret numerical probability density functions and normal distribution graphs.
  • Use CAS (Computer Algebra Systems) tools for data analysis and graphing.
  • Analyse bivariate data, identify explanatory and response variables, and use correlation and regression tools for prediction and interpretation.
  • Define recurrence relations and apply them to practical problems.
  • Model linear and geometric growth and decay using recurrence relations.
  • Calculate nominal and effective interest rates and understand their application contexts.
  • Create and interpret amortization tables, and calculate the present value and net present value of future cash flows.

Course Structure

Term 1

Lesson 1: Univariate Data Part I

Lesson 2: Univariate Data Part II

Lesson 3: Univariate Data Part III

Lesson 4: Bivariate Data Part I

Lesson 5: Bivariate Data Part II

Lesson 6: Data Transformation and Time Series

Lesson 7: Revision and Data Analysis Chapter Test

Lesson 8: Recursion and Financial Modelling Part I

Lesson 9: Recursion and Financial Modelling Part II

Lesson 10: Revision and Financial Modelling Chapter Test

Meet Our Top Faculty Experienced, Skilled, and Charismatic

  • Nick Zhang
    Nick Zhang Founder and CEO of First Education & Technology Group
  • Henry Han
    Henry Han Partner and Chief Content Officer (CCO) of First Education & Technology Group
  • Yishuai Jiang
    Yishuai Jiang Partner and Chief Training Officer (CTO) of First Education & Technology Group
  • Sean Li
    Sean Li Director of AI-Powered Learning Partnerships, China at First Education Group
  • Jimmy Nie
    Jimmy Nie Lecturer at First Education & Technology Group
  • Joe Chen
    Joe Chen Lecturer at First Education & Technology Group
  • Lily Yu
    Lily Yu Lecturer at First Education & Technology Group
  • Kaylee Jin
    Kaylee Jin Lecturer at First Education & Technology Group
  • Alyssa Li
    Alyssa Li Lecturer at First Education & Technology Group
  • Silas Yin
    Silas Yin Lecturer at First Education & Technology Group
  • Belinda Ai
    Belinda Ai Lecturer at First Education & Technology Group
  • James Liu
    James Liu Lecturer at First Education & Technology Group
  • Yichen Jiang
    Yichen Jiang Lecturer at First Education & Technology Group
  • Chuyao Liu
    Chuyao Liu Lecturer at First Education & Technology Group
  • Ronson Sun
    Ronson Sun Lecturer at First Education & Technology Group
  • Elyssa Zhang
    Elyssa Zhang Lecturer at First Education & Technology Group
  • Henry Zhou
    Henry Zhou Lecturer at First Education & Technology Group
  • William Cheung
    William Cheung Lecturer at First Education & Technology Group
  • Russell Chen
    Russell Chen Lecturer at First Education & Technology Group
View All Teachers

Meet Our Top Faculty Experienced, Skilled, and Charismatic

8 Core Advantages

for an Exceptional Learning Experience

Top-notch Faculty

Top-notch Faculty

Our faculty comprises outstanding teachers who are graduates from world-class universities. They design rigorous and engaging courses, continually optimising content based on advanced international curricula and exam trends.

Technology-Enhanced Learning

Technology-Enhanced Learning

We strive to innovate beyond the limitations of traditional education through our MarsLadder platform, offering comprehensive, interactive, and personalised learning experiences.

Unique Teaching Methods

Unique Teaching Methods

Realus's O2O (offline-to-online) model effectively addresses issues of passive learning and delayed feedback for teachers and parents, creating an efficient learning loop that supports students' growth in an enjoyable and effective manner.

Live and Intelligent Learning

Live and Intelligent Learning

We offer synchronised live teaching both online and offline, with class recordings available for three months for repeated study. Post-class, our intelligent learning software supports learning, practice, and assessment.

Year 12 VCE General Maths Pricing
Offline Courses/Live Streaming Courses
40 lessons/year
$99 /2-hour lesson
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Experienced VCE Maths teachers

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'Three-Cycle Learning Method'

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Scientific and rigorous teaching materials

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Closely aligned with the Victorian curriculum

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Access to MarsLadder resources

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Complementary tests and assignments

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Advanced class model

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Technology-enabled teaching

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One-on-one learning tracking service

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Learning report feedback

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Comfortable learning environment

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