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MATRICES AND VECTOR SPACES (CII2D3) ACADEMIC YEAR 2022-2023
Introduction Slide Mavek

COURSE IDENTIFICATION
Course Name: Matrices and Vector Spaces
Course Code: CII2D3
Semester: 3rd (Second Year)
Credits: 3 Credits
Study Program/Faculty: Bachelor of Informatics / Faculty of Informatics

COURSE PROFILE
Matrices and Vector Spaces is a compulsory course for all students of the Informatics Study Program. There are four main topics in this course: Matrices and Linear Systems, Vector Spaces, Linear Transformations, and Eigen Spaces.
The first topic will be discussed in the chapters on Matrices and Their Operations, Matrix Determinants, and Systems of Linear Equations.
The second topic will be discussed in the chapters on Vectors in Planes and Spaces, Vector Spaces, and Inner Product Spaces.
The third topic will be covered in the chapter on Linear Transformations.
The fourth topic will be discussed in the chapter on Eigen Spaces.

COURSE RELEVANCE
This course provides students with the experience to master basic techniques in algebra and apply them to solving linear system problems. In this course, students have the opportunity to work manipulatively with objects other than numbers, particularly matrices and vectors. Algebra is a branch of mathematics that studies structures, relations, and quantities.

RELATION TO OTHER COURSES
Matrices and Vector Spaces is a fundamental course, with the prerequisite course being Calculus (must have been taken previously).

PROGRAM OUTCOMES AND LEARNING OUTCOMES
Program Outcome (PLO.3): Able to apply science and mathematics to solve engineering problems using computing principles.

Learning Outcomes:

CLO 1: Students are able to explain, calculate, and apply concepts related to matrices
CLO 2: Students are able to explain, calculate, and apply concepts related to vector spaces
CLO 3: Students are able to explain, calculate, and apply concepts related to linear transformations
CLO 4: Students are able to explain, calculate, and apply concepts related to eigen spaces

REFERENCES
Anton H, Rorres, C., 2014, Elementary Linear Algebra: Application Version, 11th edition, John Wiley & Sons, New York.
Durbin, J. R, 2009, Modern Algebra: An Introduction, 6th edition, John Wiley & Sons, United States of America
Kreyszig E., 2011, Advanced Engineering Mathematics, 10th edition, John Wiley & Sons, United States of America.
Adiwijaya, 2014, Application of Matrices and Vector Spaces, Graha Ilmu, Indonesia

INTRODUCTION CII2D3

RPS Matrices and Vector Spaces