Master of Arts in Mathematics and Pedagogy
所属信息
基本信息
项目时长
1年学费估算
132300申请截止日期
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秋季
-
常规
5.31
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其他
申请信息
IELTS要求
6.00
工作经验要求
官网没有明确说明
Prerequisite
本课程的最低入学要求：
(1) 持有认可的学士学位，最好是数学以外的学科领域。
(2) 在香港高考中取得数学E级或以上成绩，或在香港中学文凭考试中取得数学4级或以上成绩（必修部分），或在数学方面有同等资格。
申请人如曾在大学本科或前教育学院修读一些数学（或与数学有关的）课程，也可获考虑。The minimum entrance requirements for this programme:
(1) A recognized Bachelor’s degree, preferably in subject areas other than Mathematics.
(2) Obtained in the HKALE Grade E or above in Mathematics or in HKDSE Level 4 or above in Mathematics (Compulsory Part), or an equivalent qualification in Mathematics
Applicant who had studied some Mathematics (or Mathematics related) courses in the undergraduates or former Colleges of Education may also be considered.
(1) 持有认可的学士学位，最好是数学以外的学科领域。
(2) 在香港高考中取得数学E级或以上成绩，或在香港中学文凭考试中取得数学4级或以上成绩（必修部分），或在数学方面有同等资格。
申请人如曾在大学本科或前教育学院修读一些数学（或与数学有关的）课程，也可获考虑。The minimum entrance requirements for this programme:
(1) A recognized Bachelor’s degree, preferably in subject areas other than Mathematics.
(2) Obtained in the HKALE Grade E or above in Mathematics or in HKDSE Level 4 or above in Mathematics (Compulsory Part), or an equivalent qualification in Mathematics
Applicant who had studied some Mathematics (or Mathematics related) courses in the undergraduates or former Colleges of Education may also be considered.
适宜学生
该课程强调数学学科知识、创新教学实践和灵活的教学环境。它是为那些正在寻找机会进一步学习数学知识并将这些知识应用到学校的数学学习和教学中的数学教师而设计的。它的目的是使学员成为合格的数学教师，并提高他们在教学生涯中的上升空间。
特点及课程设置
1 - 代数和数论 - Algebra and Number Theory
2 - 几何学基础 - Foundations of Geometry
3 - 概率与统计 - Probability and Statistics
4 - 微积分和数学建模 - Calculus and Mathematical Modelling
5 - 组合学和图论 - Combinatorics and Graph Theory
6 - 数学的教学设计 - Instructional Design in Mathematics
7 - 数学教学的技术：探究法 - Technology for Mathematics Teaching: An Inquiry Approach
8 - 数学的历史和教学法 - History and Pedagogy of Mathematics
9 - 数学思维与评估 - Mathematical Thinking and Assessment
10 - 数据挖掘与STEM教育 - Data Mining and STEM Education
11 - 教育中的人工智能 - Artificial Intelligence in Education
2 - 几何学基础 - Foundations of Geometry
3 - 概率与统计 - Probability and Statistics
4 - 微积分和数学建模 - Calculus and Mathematical Modelling
5 - 组合学和图论 - Combinatorics and Graph Theory
6 - 数学的教学设计 - Instructional Design in Mathematics
7 - 数学教学的技术：探究法 - Technology for Mathematics Teaching: An Inquiry Approach
8 - 数学的历史和教学法 - History and Pedagogy of Mathematics
9 - 数学思维与评估 - Mathematical Thinking and Assessment
10 - 数据挖掘与STEM教育 - Data Mining and STEM Education
11 - 教育中的人工智能 - Artificial Intelligence in Education
