MATH 151 — Algebra

BSc Computer Engineering · KNUST

OUTLINE The set of real numbers (R) relation of order in R, principles of mathematical induction; complex numbers, vectors algebra and its applications. Matrix Algebra: Properties and Determinants of Matrices, Applications to Systems of Linear Equations; Homogenous Systems, Eigenvalues and Eigenvectors. COURSE OBJECTIVE(S) This module aims to introduce students to the number theory, the algebra of vectors, matrices, linear system of equations and Eigen values and vectors. Mode of Delivery The mode of delivery of this course will be blended i.e., in person and online LEARNING OUTCOMES On completion of the Math 151 course the students should be able to: i. Define the real number system, classify the number system into rational and irrational numbers. ii. Differentiate between the real and complex number system, vector and scalar quantities. Be able to perform vector products, compute orthogonal projections, formulate vector equations of lines and planes. Apply the technique in solving the systems of linear equations and computing Eigenvalues and vectors as they appear in engineering, natural science, economics and finance etc. REQUIRED TEXTBOOKS/READINGS David C. Lay et al, Linear algebra and applications, 5th edition, 2016. K. Hoffman and R. Kunze, Linear Algebra. Prentice – Hall, 1971. C. W. Curtis, Linear Algebra: an introductory approach. Springer 1984. Erwin Kreyszig (2002): Advanced Engineering Mathematics (Eighth Edition), John Wiley and Sons, Inc.

Credits

4

Level

Year One

Semester

Semester One

Course details from DETAILED COURSE OUTLINE FOR BSC MECHANICAL ENGINEERING - Department of Mechanical Engineering.