Undergraduate
Faculty of Engineering and Architecture
Industrial Engineering
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Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
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Course Goals To teach basic concepts of linear algebra for engineering students
Prerequisite(s)
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Instructor(s)
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Schedule
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Teaching Methods and Techniques
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Course Schedules
Week Contents Learning Methods
1. Week Matrices; Matrix Operations, Oral and written presentation
2. Week Algebraic Properties of Matrix Operations, Special Types of Matrices Oral and written presentation
3. Week Row Echelon Form of a Matrix Oral and written presentation
4. Week Solving Linear Systems; Homogeneous Systems Oral and written presentation
5. Week Elementary Matrices and Finding the Inverse of a Matrix by Using Elementary Operations Oral and written presentation
6. Week Determinants; Definition and Properties of Determinants Oral and written presentation
7. Week Cofactor Expansion; Finding Inverses by Using Cofactors Oral and written presentation
8. Week Cramer’s Rule; Rank of a Matrix Oral and written presentation
9. Week Vector Spaces: Definition; Subspaces Oral and written presentation
10. Week Span and Linear Independence Oral and written presentation
11. Week Basis and Dimensions, Coordinates, Inner Product Spaces Oral and written presentation
12. Week Eigenvalues and Eigenvectors Oral and written presentation
13. Week Diagonalization and Similar Matrices Oral and written presentation
14. Week Linear Transformation Oral and written presentation
15. Week Final Examinations written
16. Week Final Examinations written
17. Week Final Examinations written
Assessments
Evaluation tools Quantity Weight(%)


Program Outcomes
PO-1Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1Recognize special type of matrices and perform the Matrix operations.
LO-2Solve linear systems by Gauss-Jordan reduction.
LO-3Find the transpose, inverse, rank and adjoint of a matrix.
LO-4Calculate determinants using row operations, column operations, and cofactor expansion along any row ( or column).
LO-5Solve linear systems by Cramer’s rule.
LO-6Prove algebraic statements about vector addition, scalar multiplication, linear independence, spanning sets, subspaces, bases, and dimension.
LO-7Calculate eigenvalues and their corresponding eigenvectors of a square matrix.
LO-8Prove the properties of eigenvalues and eigenvectors.
LO-9Determine if a matrix is diagonalizable, and if it is, diagonalize it.
LO-10Prove statements about linear transformations.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix