MATH 239 Linear AlgebraMEF UniversityDegree Programs Elementary Mathematics EducationGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Elementary Mathematics Education
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Education
Course Code MATH 239
Course Title in English Linear Algebra
Course Title in Turkish Linear Algebra
Language of Instruction EN
Type of Course Ters-yüz öğrenme
Level of Course Seçiniz
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 145 hours per semester
Number of Credits 7 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 139 - Introduction to Discrete Mathematics
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the fundamentals of matrix theory and linear algebra relevant to engineering problems.
Course Description This course provides general concepts on linear algebra by covering the following topics: Systems of linear equations and matrices, Gaussian elimination, matrix algebra, inverse of a matrix, elementary matrices, LU-factorization, the determinant of a square matrix, the properties of determinants, Cramer’s rule, vector spaces, subspaces, linear independence, basis and dimension, change of basis, inner product spaces, orthonormal basis, linear transformations, matrix representations of linear transformations, eigenvalues and eigenvectors, diagonalization.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) solve the systems of linear equations by using Gauss elimination;
2) compute the inverse of a square matrix and solve the systems of linear equations by using matrix inversion;
3) compute the determinant of a matrix and solve the systems of linear equations by using Cramer's rule;
4) comprehend the concepts span, linear independence, basis, and dimension, and apply these concepts to various vector spaces and subspaces;
5) comprehend linear transformations and compute their matrix representations;
6) compute the eigenvalues and the corresponding eigenvectors of a matrix.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Apply effective and student-centered specific teaching methods and strategies in order to improve students’ mathematical thinking and problem solving skills.
2) Design lesson plans based on how students learn mathematics and students’ difficulties in learning mathematics.
3) Demonstrate knowledge in various areas of mathematics (such as analysis, algebra, linear algebra, geometry, topology, mathematical modeling, statistics and probability, differential equations) and nature of science and mathematics.
4) Display knowledge and skills in developing programs, teaching technologies and materials in order to teach mathematics in effective and meaningful ways based on student needs.
5) Evaluate and assess students’ individual developmental paths, difficulties in understanding mathematics in multiple ways and use assessment results in improving teaching and learning.
6) Have an awareness of students’ social, cultural, economic and cognitive differences and plan the lessons and activities based on this awareness.
7) Collaborate and respectively communicate with colleagues and student parents such that students learn mathematics in best ways and at the same time feel happy and safe. Work effectively within teams of their own discipline and multi-disciplinary as well as take individual responsibility when they work alone.
8) Have awareness of need for life-long learning. Access information and following developments in education, science and technology. Display skills of solving problems related to their field, renew and improve themselves and critically analyze and question their own work. Use information technologies in effective ways.
9) Use scientific investigation effectively to solve problems in mathematics teaching and learning based on scientific methods. Critically investigate, analyze and make a synthesis of data, and develop solutions to problems based on data and scientific sources.
10) Exhibit skills of communicating effectively in oral and written Turkish and command of English at least at B2 general level of European Language Portfolio.
11) Have awareness of and sensitivity to different cultures, values and students’ democratic rights.
12) Display ethical and professional responsibilities. Have awareness of national and universal sensitivities that are expressed in National Education Fundamentals Laws.
13) Demonstrate consciousness and sensitivity towards preserving nature and environment in the process of developing lesson activities.
14) Display knowledge in national culture and history as well as international cultures and recognize their richness. Have awareness of and participate to developments in society, culture, arts and technology.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Apply effective and student-centered specific teaching methods and strategies in order to improve students’ mathematical thinking and problem solving skills. N
2) Design lesson plans based on how students learn mathematics and students’ difficulties in learning mathematics. N
3) Demonstrate knowledge in various areas of mathematics (such as analysis, algebra, linear algebra, geometry, topology, mathematical modeling, statistics and probability, differential equations) and nature of science and mathematics. H Exam,Derse Katılım,Proje
4) Display knowledge and skills in developing programs, teaching technologies and materials in order to teach mathematics in effective and meaningful ways based on student needs. H Proje
5) Evaluate and assess students’ individual developmental paths, difficulties in understanding mathematics in multiple ways and use assessment results in improving teaching and learning. N
6) Have an awareness of students’ social, cultural, economic and cognitive differences and plan the lessons and activities based on this awareness. N
7) Collaborate and respectively communicate with colleagues and student parents such that students learn mathematics in best ways and at the same time feel happy and safe. Work effectively within teams of their own discipline and multi-disciplinary as well as take individual responsibility when they work alone. H Select,Derse Katılım,Proje
8) Have awareness of need for life-long learning. Access information and following developments in education, science and technology. Display skills of solving problems related to their field, renew and improve themselves and critically analyze and question their own work. Use information technologies in effective ways. S Select,Derse Katılım,Proje
9) Use scientific investigation effectively to solve problems in mathematics teaching and learning based on scientific methods. Critically investigate, analyze and make a synthesis of data, and develop solutions to problems based on data and scientific sources. N
10) Exhibit skills of communicating effectively in oral and written Turkish and command of English at least at B2 general level of European Language Portfolio. S Derse Katılım,Proje
11) Have awareness of and sensitivity to different cultures, values and students’ democratic rights. N
12) Display ethical and professional responsibilities. Have awareness of national and universal sensitivities that are expressed in National Education Fundamentals Laws. N
13) Demonstrate consciousness and sensitivity towards preserving nature and environment in the process of developing lesson activities. N
14) Display knowledge in national culture and history as well as international cultures and recognize their richness. Have awareness of and participate to developments in society, culture, arts and technology. N
Prepared by and Date HASAN KÖRÜK ,
Course Coordinator BENGİ BİRGİLİ
Semester Fall
Name of Instructor Prof. Dr. MUSTAFA LUTFİ ÖVEÇOĞLU

Course Contents

Week Subject
1) Matrices and Systems of Equations
2) Matrices and Systems of Equations
3) Matrices and Systems of Equations
4) Matrices and Systems of Equations
5) Determinants
6) Determinants
7) Vector Spaces
8) Vector Spaces
9) Vector Spaces
10) Inner Product Spaces
11) Linear Transformations
12) Linear Transformations
13) Eigenvalues and Eigenvectors
14) Eigenvalues and Eigenvectors
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsDavid C. Lay et al., Linear Algebra and Its Applications, Pearson, 5th edition/Global edition, 2016. Elementary Linear Algebra, Ron Larson, Cengage Learning, 7th or 8th edition (ebook or hardcopy).
Teaching MethodsLectures using “flipped classroom” as an active learning technique.
Homework and ProjectsOnline quizzes/HWs will be assigned.
Laboratory Work
Computer Use
Other Activities
Assessment Methods
Assessment Tools Count Weight
Application 8 % 12
Quiz(zes) 5 % 13
Midterm(s) 2 % 75
TOTAL % 100
Course Administration korukh@mef.edu.tr

Dr. Hasan Körük Instructor’s office and phone number: A Block-5th Floor / 0212 3953654 Office hours: Monday 10:00-12:00 Email address: korukh@mef.edu.tr Dr. Leyla Parlar Ateş Instructor’s office and phone number: A Block-4th Floor / 0212 3953600 Office hours: Wednesday 13:00-15:00 Email address: atesl@mef.edu.tr Rules for attendance: Classroom participation contributes to 12% of the final grade. Missing a quiz/HW: No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, make-up will be given. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Academic dishonesty and plagiarism: YÖK Regulations.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 1 84
Homework Assignments 3 2 1 9
Quiz(zes) 2 2 1 6
Midterm(s) 2 20 3 46
Total Workload 145
Total Workload/25 5.8
ECTS 7