Course Information Semester Course Code Course Title T+P+L Credit ECTS 2 05120203 Math for Engineering I 4+0+0 4 5 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Electrical and Electronics Engineering Mode of Delivery : Face to Face Type : Compulsory Objectives : Students will be able to comprehend the concepts and methods of linear algebra. To help students develop their ability to solve problems using linear algebra. Connecting linear algebra to other fields Content : Matrix algebra. Systems of linear algebraic equations. Eigenvalues ??and eigenvectors. Linear vector spaces. Fundamentals of vector analysis. Vector algebra. Line, surface and volume integrals. Green theorem in the plane, Stokes and Gauss theorems. Matrices. Decisive. Systems of linear equations. Characteristic values ??and characteristic vectors of matrices. Mixed numbers. Complex analytic functions, applications Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : Associate Prof.Dr. Hulusi AÇIKGÖZ Name of Lecturers : Asist Prof. Nurten Urlu ÖZALAN Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : Steven Leon,“Linear Algebra with Applications” 6th Edi. (2001)Kreyszig, E., Advanced Engineering Mathematics, 9th Ed., John Wiley & Sons, 2005 Course Category Engineering 50% Engineering Design 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 4 56 Hours for off-the-c.r.stud 14 2 28 Assignments 4 3 12 Mid-terms 1 10 10 Final examination 1 31 31 Total Work Load ECTS: 5 137 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Know the applications of mathematics in engineering 2 Build mathematical models of engineering problems and simulate them 3 Know the state variables and state space model in Electrical-Electronics systems 4 Understand the basics of signal processing Weekly Detailed Course Contents Week Topics 1 Matrices and Determinant. 2 Matrix algebra. 3 Systems of linear algebraic equations. 4 Eigenvalues and eigenvectors 5 Linear vector spaces. 6 Basis of vector analysis. 7 Vector algebra. 8 Line, surface and volume integrals. 9 Green`s theorem in the plane, Stokes and Gauss theorems. 10 Linear equation systems. 11 Characteristic vectors and characteristic values of matrices. 12 Complex numbers. 13 Complex analytical functions, applications. Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 3 C1 5 C2 3 C3 3 bbb
