About The Course
This course is designed to provide the learners with a solid understanding of the concepts of Linear Algebra, an indispensable part of both the fields of Computer Science and Mathematics. This is an undergraduate course for students of Engineering, Science, and Mathematics. Linear algebra is the study of linear systems of equations, vector spaces, and linear transformations. Solving systems of linear equations is a basic tool of many mathematical procedures used for solving problems in science and engineering.
This course, designed for independent study, can be divided into four interconnected parts:
- The First Part covers the basics of Linear Transformations, matrix theory, and systems of linear equations as well as how to solve them using the elimination process.
- The Second Part covers the concepts of vector spaces and related topics. It also covers vector projection.
- The Third Part covers a few ideas and approaches of Data Science that are based on Linear Algebra.
- The Fourth Part is Fourier Analysis will be delivered as a stand-alone topic.
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Requirements
Official Prerequisite: MAT 120: MATH II Integral Calculus and Differential Equations
The course assumes that the learners have a basic understanding of matrices and vectors, as well as basic calculus. However, this course essentially builds from the ground-up, so anyone with a curious and inquisitive mind can attempt and succeed in this course.
Marks Distribution
Marks Distribution
- Attendance/Pop Quiz: 5%
- Assignment: 20%
- Graded Quiz: 20%
- Midterm: 25%
- Final: 30%
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Course Instructors
Ms. Mehnaz Karim
Senior Lecturer, MNS
Sections: 6 and 7
Mr. Md. Saddam Hossain
Lecturer, MNS
Section: 4 and 5
Mr. Farhan Feroz
Lecturer, CSE
Section: 8 and 9
Sohaima Jabeen
Lecturer, MNS
Section: 10 and 11
Meem Arafat Manab
Lecturer, CSE
Section: 1 and 3
Mahfuza Haque Mahi
Lecturer, MNS
Section: 12, 13 and 14
Mr. Md Reshad ur Rahman
Lecturer, MNS
Section: 2