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2nd Revision:EltonJohn B. Embodo
GOV. ALFONSO D. TAN COLLEGE
Bachelor Secondary Education major in Mathematics (BSEd-Math)
Outcomes – Based Teaching and Learning Plan in ME 111
Alfonsos as Lux Mundi: Serving Humanity with Empowered Mind, Passionate Heart and Virtuous Soul
Course Title Linear Algebra Course Code ME 111
Credit Units 3 Course Pre-/Co-requisites Logic & Set Theory
Course Description
(CMO #75 s. 2017)
This course provides a basic understanding of vector spaces, including the study of matrices, their properties and matrix
operations. It also covers the application of matrices in systems of linear equations and linear transformations.
Institute Intended
Learning Outcomes
(IILO)
Graduates of BSEd programs are teachers who:
a. Articulate the rootedness of education in philosophical, socio cultural, historical, psychological, and political concept
b. Demonstrate mastery of subject matter/discipline
c. Facilitate learning using a wide range of teaching methodologies and delivery modes appropriate to specific learners and their
environments
d. Develop innovative curricula, instructional plans, teaching, approaches, and resources for diverse learners.
e. Apply skills in the development and utilization of ICT to promote, quality, relevant, and sustainable educational practices.
f. Demonstrate a variety of thinking skills in planning, monitoring, assessing, and reporting learning processes and outcomes
g. Practice professional and ethical teaching standards sensitive to the local, national, and global realities.
h. Pursue lifelong learning for professional growth through varied experiential and field-based opportunities.
Program Intended
Learning Outcomes
(PILO)
At the end of this program, students will be able to:
i. Exhibit competence in mathematical concepts and procedures.
j. Exhibit proficiency in relating mathematics to other curricular areas.
k. Manifest meaningful and comprehensive pedagogical content knowledge (PCK) of mathematics.
l. Demonstrate competence in designing, constructing and utilizing different forms of assessment in mathematics.
m. Demonstrate proficiency in problem-solving by solving and creating routine and non-routine problems with different levels of
complexity.
n. Use effectively appropriate approaches, methods, and techniques in teaching mathematics including technological tools.
o. Appreciate mathematics as an opportunity for creative work, moments of enlightenment, discovery and gaining insights of the world.
Course Intended
Learning Outcomes
(CILO)
At the end of this course, the students should be able to:
a) Identify the types and perform the different operations of the matrices.
b) Apply the knowledge in Matrices for solving special types of problems in systems linear equations
c) Demonstrate skills in performing operations and process in vector spaces
d) Show competence in dealing with Linear Mappings and Transformation
2nd Revision:EltonJohn B. Embodo
MIDTERM Essential Learning
Intended Learning Outcomes
(ILO)
Suggested
Teaching/Learning
Activities (TLAs)
Assessment
Tasks (ATs)Week Content Standards Declarative Knowledge Functional Knowledge
1-6
Demonstrate
Understanding on
Algebra of Matrices
Orientation on the Class
Rules, Mission and Vision
and Grading System
Algebra of Matrices
 Matrices
 Matrix Addition and
Scalar Multiplication
 Summation Symbol
 Matrix Multiplication
 Transpose of a Matrix
 Square Matrices
 Power of Matrices,
Polynomials in Matrices
 Invertible (Nonsingular)
Matrices
 Special types of Square
Matrices
 Complex Matrices
 Block Matrices
Discussing the process of Matrix
Addition, Scalar Multiplication and
Matrix Multiplication
Transposing a Matrix
Exploring the operations of
Square Matrices, Power of
Matrices, Polynomials in Matrices
Inverting Matrices
Explaining the special types of
Matrices
Exploring the process and
operations of Complex and Block
Matrices
Perform matrix addition, scalar
multiplication and matrix
multiplication
Transpose matrices
Perform the operations of square
matrices, power of matrices,
polynomials in Matrices, invertible
matrices and the special types of
matrices
Solve and simplify problems in
complex and block matrices
Oral Recitation
Group Discussion
Seatwork
Graded Oral
Recitation
Group Presentation
with Rubrics
Assignment
Quiz
7-9
Demonstrate
Competency in
Systems of Linear
Equation in Matrices
Systems of Linear
Equation in Matrices
 Basic Definitions,
Solutions
 Equivalent Systems,
Elementary Operations
 Small Square Systems
of Linear Equations
 Systems in Triangular
and Echelon Form
 Gaussian Elimination
 Echelon Matrices, Row
Canonical Form, Row
Equivalence
 Gaussian Elimination,
Matrix Formulation
 Matrix Equation of a
System of Linear
Equations
 Systems of Linear
Stating the definitions of terms in
matrices
Performing the elementary
operations
Differentiating systems of linear
equations per unknows
Reducing matrix to echelon form
Reducing echelon matrix to row
canonical form
Using gaussian elimination to
solve equations
Combining vectors and linear
equations
State the definitions of terms in
matrices
Perform the elementary operations
Differentiate systems of linear
equations per unknowns
Reduce matrix to echelon form
Reduce echelon matrix to row
canonical form
Use gaussian elimination to solve
equations
Combine vectors and linear
equations
Seatwork
Group Activity
Quiz
Assignment
Quarter Exam
2nd Revision:EltonJohn B. Embodo
Equations and Linear
Combinations of
Vectors
FINAL
10-14
Demonstrate
Understanding on
Vector Spaces
Vector Spaces
 Vector Spaces
 Examples of Vector
Spaces
 Linear Combinations,
Spanning Sets
 Subspaces
 Linear Spans, Row
Space of a Matrix
 Linear Dependence and
Independence
 Basis and Dimension
 Application to Matrices,
rank of a Matrix
 Sums and Direct Sums
 Coordinates
Defining vector spaces and
discussing several examples
Discussing the process of linear
combinations in relation to
spanning sets of vectors
Discussing the subspaces of
vectors in a plane
Forming matrix of row spaces and
linear spans
Differentiating linear dependence
and independence
Discussing the application to
matrices, and rank of a matrix
Differentiating sums from direct
sums
Discussing coordinates
Solve problems involving vector
spaces
Perform the process of linear
combination and spanning sets
Solve problems of subspaces
Explore how linear spans and space
of a matrix work
Differentiate linear dependence and
independence by solving problems
Perform in solving problems in
application to matrices
Distinguish sums and direct sums by
performing the process of solving
problems
Illustrate how coordinates in Vector
works
Board work
Solution Presentation
Seatwork
Quiz
Presentation with
rubrics
Quarter Exam
15-18
Demonstrate
Understanding on
Linear Mappings
Linear Mappings
 Mappings, Functions
 Linear Mappings (Linear
Transformations)
 Kernel and Image of a
Linear Mapping
 Singular and Nonsingular
Linear Mappings,
Isomorphisms
 Operations with Linear
Mappings
 Algebra A(V) of Linear
Operators
Discussing the process of Linear
Mappings or Transformations and
Isomorphisms
Differentiating singular and
nonsingular linear mappings
Performing operations with linear
mappings
Performing algebra of linear
operators
Solve problems of Linear Mappings
or Transformations and
Isomorphisms
Differentiate singular and nonsingular
linear mappings
Perform operations with linear
mappings
Perform algebra of linear operators
Group Activity
Seatwork
2nd Revision:EltonJohn B. Embodo
Basic Readings
Lipschutz S., & Lipson M., (2001).Theory and Problems of LinearAlgebra.McGraw-Hill.
Extended Readings Strang, G. (1988).LinearAlgebra and Its Applications,3d ed.Orlando,Fla.:Academic Press
Course Assessment RegularQuizzes,Activitiesand Periodical Examinations
Course Policies LanguageofInstructions
English
Attendance
 As identifiedin the student handbook
Homework,Quizzes,Written Reports,ReactionPapersand Portfolio
Special Requirement
GradingSystem
Summative Quiz– 30%
Summative Performance –40%
PeriodicalExam– 30%
Total 100
ClassroomRulesandRegulations
Must exercise Respectall the time
Committee Members CommitteeLeader : AlemarC. Mayordo
Members : Clint Joy M. Quije
Elton John B. Embodo
Fritzie Azuelo
Zarlene M. Tigol
Rogelou Andam
Alemar C. Mayordo
Consultation Schedule FacultyMember :
ContactNumber :
E-mailaddress :
ConsultationHours:
TimeandVenue :
Course
Title
A.Y. Term of
Effectivity
Prepared by Checked by Noted by Approved by Pages
Linear
Algebra
2019 – 2020 CLINT JOY QUIJE, LPT
Instructor
ELTON JOHN B. EMBODO, MAED
Program Coordinator
ALEMAR C. MAYORDO, MAED
OIC-Dean, ITE
LOVE H. FALLORAN, Ph.D.
VP for Academics
5
2nd Revision:EltonJohn B. Embodo

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Outcomes based teaching learning plan (obtlp) linear algebra 1st rev

  • 1. 2nd Revision:EltonJohn B. Embodo GOV. ALFONSO D. TAN COLLEGE Bachelor Secondary Education major in Mathematics (BSEd-Math) Outcomes – Based Teaching and Learning Plan in ME 111 Alfonsos as Lux Mundi: Serving Humanity with Empowered Mind, Passionate Heart and Virtuous Soul Course Title Linear Algebra Course Code ME 111 Credit Units 3 Course Pre-/Co-requisites Logic & Set Theory Course Description (CMO #75 s. 2017) This course provides a basic understanding of vector spaces, including the study of matrices, their properties and matrix operations. It also covers the application of matrices in systems of linear equations and linear transformations. Institute Intended Learning Outcomes (IILO) Graduates of BSEd programs are teachers who: a. Articulate the rootedness of education in philosophical, socio cultural, historical, psychological, and political concept b. Demonstrate mastery of subject matter/discipline c. Facilitate learning using a wide range of teaching methodologies and delivery modes appropriate to specific learners and their environments d. Develop innovative curricula, instructional plans, teaching, approaches, and resources for diverse learners. e. Apply skills in the development and utilization of ICT to promote, quality, relevant, and sustainable educational practices. f. Demonstrate a variety of thinking skills in planning, monitoring, assessing, and reporting learning processes and outcomes g. Practice professional and ethical teaching standards sensitive to the local, national, and global realities. h. Pursue lifelong learning for professional growth through varied experiential and field-based opportunities. Program Intended Learning Outcomes (PILO) At the end of this program, students will be able to: i. Exhibit competence in mathematical concepts and procedures. j. Exhibit proficiency in relating mathematics to other curricular areas. k. Manifest meaningful and comprehensive pedagogical content knowledge (PCK) of mathematics. l. Demonstrate competence in designing, constructing and utilizing different forms of assessment in mathematics. m. Demonstrate proficiency in problem-solving by solving and creating routine and non-routine problems with different levels of complexity. n. Use effectively appropriate approaches, methods, and techniques in teaching mathematics including technological tools. o. Appreciate mathematics as an opportunity for creative work, moments of enlightenment, discovery and gaining insights of the world. Course Intended Learning Outcomes (CILO) At the end of this course, the students should be able to: a) Identify the types and perform the different operations of the matrices. b) Apply the knowledge in Matrices for solving special types of problems in systems linear equations c) Demonstrate skills in performing operations and process in vector spaces d) Show competence in dealing with Linear Mappings and Transformation
  • 2. 2nd Revision:EltonJohn B. Embodo MIDTERM Essential Learning Intended Learning Outcomes (ILO) Suggested Teaching/Learning Activities (TLAs) Assessment Tasks (ATs)Week Content Standards Declarative Knowledge Functional Knowledge 1-6 Demonstrate Understanding on Algebra of Matrices Orientation on the Class Rules, Mission and Vision and Grading System Algebra of Matrices  Matrices  Matrix Addition and Scalar Multiplication  Summation Symbol  Matrix Multiplication  Transpose of a Matrix  Square Matrices  Power of Matrices, Polynomials in Matrices  Invertible (Nonsingular) Matrices  Special types of Square Matrices  Complex Matrices  Block Matrices Discussing the process of Matrix Addition, Scalar Multiplication and Matrix Multiplication Transposing a Matrix Exploring the operations of Square Matrices, Power of Matrices, Polynomials in Matrices Inverting Matrices Explaining the special types of Matrices Exploring the process and operations of Complex and Block Matrices Perform matrix addition, scalar multiplication and matrix multiplication Transpose matrices Perform the operations of square matrices, power of matrices, polynomials in Matrices, invertible matrices and the special types of matrices Solve and simplify problems in complex and block matrices Oral Recitation Group Discussion Seatwork Graded Oral Recitation Group Presentation with Rubrics Assignment Quiz 7-9 Demonstrate Competency in Systems of Linear Equation in Matrices Systems of Linear Equation in Matrices  Basic Definitions, Solutions  Equivalent Systems, Elementary Operations  Small Square Systems of Linear Equations  Systems in Triangular and Echelon Form  Gaussian Elimination  Echelon Matrices, Row Canonical Form, Row Equivalence  Gaussian Elimination, Matrix Formulation  Matrix Equation of a System of Linear Equations  Systems of Linear Stating the definitions of terms in matrices Performing the elementary operations Differentiating systems of linear equations per unknows Reducing matrix to echelon form Reducing echelon matrix to row canonical form Using gaussian elimination to solve equations Combining vectors and linear equations State the definitions of terms in matrices Perform the elementary operations Differentiate systems of linear equations per unknowns Reduce matrix to echelon form Reduce echelon matrix to row canonical form Use gaussian elimination to solve equations Combine vectors and linear equations Seatwork Group Activity Quiz Assignment Quarter Exam
  • 3. 2nd Revision:EltonJohn B. Embodo Equations and Linear Combinations of Vectors FINAL 10-14 Demonstrate Understanding on Vector Spaces Vector Spaces  Vector Spaces  Examples of Vector Spaces  Linear Combinations, Spanning Sets  Subspaces  Linear Spans, Row Space of a Matrix  Linear Dependence and Independence  Basis and Dimension  Application to Matrices, rank of a Matrix  Sums and Direct Sums  Coordinates Defining vector spaces and discussing several examples Discussing the process of linear combinations in relation to spanning sets of vectors Discussing the subspaces of vectors in a plane Forming matrix of row spaces and linear spans Differentiating linear dependence and independence Discussing the application to matrices, and rank of a matrix Differentiating sums from direct sums Discussing coordinates Solve problems involving vector spaces Perform the process of linear combination and spanning sets Solve problems of subspaces Explore how linear spans and space of a matrix work Differentiate linear dependence and independence by solving problems Perform in solving problems in application to matrices Distinguish sums and direct sums by performing the process of solving problems Illustrate how coordinates in Vector works Board work Solution Presentation Seatwork Quiz Presentation with rubrics Quarter Exam 15-18 Demonstrate Understanding on Linear Mappings Linear Mappings  Mappings, Functions  Linear Mappings (Linear Transformations)  Kernel and Image of a Linear Mapping  Singular and Nonsingular Linear Mappings, Isomorphisms  Operations with Linear Mappings  Algebra A(V) of Linear Operators Discussing the process of Linear Mappings or Transformations and Isomorphisms Differentiating singular and nonsingular linear mappings Performing operations with linear mappings Performing algebra of linear operators Solve problems of Linear Mappings or Transformations and Isomorphisms Differentiate singular and nonsingular linear mappings Perform operations with linear mappings Perform algebra of linear operators Group Activity Seatwork
  • 4. 2nd Revision:EltonJohn B. Embodo Basic Readings Lipschutz S., & Lipson M., (2001).Theory and Problems of LinearAlgebra.McGraw-Hill. Extended Readings Strang, G. (1988).LinearAlgebra and Its Applications,3d ed.Orlando,Fla.:Academic Press Course Assessment RegularQuizzes,Activitiesand Periodical Examinations Course Policies LanguageofInstructions English Attendance  As identifiedin the student handbook Homework,Quizzes,Written Reports,ReactionPapersand Portfolio Special Requirement GradingSystem Summative Quiz– 30% Summative Performance –40% PeriodicalExam– 30% Total 100 ClassroomRulesandRegulations Must exercise Respectall the time Committee Members CommitteeLeader : AlemarC. Mayordo Members : Clint Joy M. Quije Elton John B. Embodo Fritzie Azuelo Zarlene M. Tigol Rogelou Andam Alemar C. Mayordo Consultation Schedule FacultyMember : ContactNumber : E-mailaddress : ConsultationHours: TimeandVenue : Course Title A.Y. Term of Effectivity Prepared by Checked by Noted by Approved by Pages Linear Algebra 2019 – 2020 CLINT JOY QUIJE, LPT Instructor ELTON JOHN B. EMBODO, MAED Program Coordinator ALEMAR C. MAYORDO, MAED OIC-Dean, ITE LOVE H. FALLORAN, Ph.D. VP for Academics 5