Source : onlinelearning.telkomuniversity.ac.id

MATRIX AND VECTOR SPACES (CII2D3) ACADEMIC YEAR 2022-2023

COURSE IDENTITY

Course Name: Matrix and Vector Space
Course Code : CII2D3
Semester : 3 (Second Year)
CREDITS : 3 CREDITS
Study Program/Faculty : S1 Informatics / Faculty of Informatics

Course Profile

Matrix and Vector Space is a compulsory course for all students of Informatics Study Program. There are four main topics in this course, namely Matrix and Linear System, Vector Space, Linear Transformation, and Eigen Space.
The first topic will be discussed in the chapter of Matrix and its Operation, Matrix Determinant, and Linear Equation System. The second topic will be discussed in the chapter Vectors in Fields and Spaces, Vector Spaces, and Inner Product Spaces. The third topic is covered in the chapter on Linear Transformations. The fourth topic is covered in the Eigen Space chapter.

COURSE RELEVANCE

This course provides experience for students to master basic techniques in algebra and apply them in solving linear system problems. In this course, students get the opportunity to work with objects other than numbers manipulatively, especially matrices and vectors. Algebra is a branch of mathematics that studies structure, relationships and quantity.

LINKAGES WITH OTHER COURSES

Matrix and Vector Space are basic courses, with the prerequisite course being Calculus (taken).

PROGRAM OUTCOMES AND LEARNING OUTCOMES

Program Outcomes: (PLO.3): Able to apply science and mathematics to solve engineering problems with computing principles.

Learning Outcome:

• 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 transformation
• CLO 4: Students are able to explain, calculate, and apply concepts related to eigenspaces

REFERENCES

1. Anton H, Rorres, C.,2014, Elementary Linear Algebra: Application Version, 11th edition, John Willey & Sons, New York.
2. Durbin,  J. R, 2009, Modern Algebra: An Introduction, 6th edition, John Willey & Sons, United States of America
3. Kreyszig E., 2011, Advanced Engineering Mathematics, 10th edition, John WIlley & Sons, United States of America.
4. Adiwijaya, 2014, Aplikasi Matriks dan Ruang Vektor, Graha Ilmu, Indonesia

INTRODUCTION CII2D3

Matrix and Vector Space