The Johns Hopkins University - Graduate Division of Education

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The Johns Hopkins University - School of Education
SUPPLEMENTAL CONTENT WORKSHEET
MASTER OF ARTS IN TEACHING: SECONDARY EDUCATION – MATHEMATICS
Applicant:
E-mail:
Reviewer:
Telephone (H):
Telephone (W/Cell):
Date:
Applicants seeking certification as secondary mathematics
teachers must have both breadth and depth of background in
the content area demonstrated by a major in mathematics or
approximately 36 credits in mathematics course work or
equivalent documented experience.
The applicant’s background should
include knowledge in several of the
following areas in credited courses or
equivalent experience:
Undergraduate Institution(s):______________________
Undergraduate degree:_________
major:___________________
minor:___________________
Graduate degree(s):____________
GPA: Cum._____________/last 60 credits___________
Has
Needs
 Numbers, number theory and number
systems
 Euclidean and other geometries
 Descriptive/inferential statistics,
probability
 Calculus
 Graph theory, recurrence relations,
linear programming, differential
equations, matrices, and
combinatorics
 Linear algebra, abstract algebra
 Historical developments in math
 Other Math
SUMMARY of Content Requirements to fulfill:
Content Need
Project Type
# Units
Comment
Completed?
Note: The above recommendations may be taken concurrently with the graduate program as determined by the advisor.
Revised 07/08 (yellow)
Math Supplemental Content Worksheet Guide
Applicants need a balance of course work in each of the knowledge areas. Courses that are applicable to each
area are listed below. There may be others. Consult applicants for explanation of course titles that are unclear
or non-specific.
Knowledge Area
Possible Course topics/course titles
 Discrete Math
 Numerical Analysis
Numbers, number theory and number systems
 Algorithms and Computation
 Finite Math
 Logic and Reasoning
Euclidean and other geometries
 Statistics in a Content Area
Descriptive/inferential statistics, probability  Research Methods in a Content Area
 Quantitative Methods in a Content Area
 Real Analysis
Calculus
 Complex Variables
 Multi-variable Calculus/Analysis
 Applied Mathematics
Graph theory, recurrence relations, linear
programming, differential equations,
 Intro to Engineering Sciences
matrices, and combinatorics
 Applied Economics
 Set Theory
Linear algebra, abstract algebra
 Mathematical Modeling
Historical developments in math
 Origins of Mathematics
 Senior seminar courses
 Capstone courses
Other Math
 (used to unify content and give applicants the
“big” picture)
Revised 07/08 (yellow)
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