MS-A0011 - Matrix Algebra, Lecture, 26.7.2023-28.8.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course the student

- can write systems of linear equations in matrix form

- can solve systems of linear equations in matrix form using Gaussian elimination

- can perform basic matrix operations

- can compute the eigenvalues of a square matrix

- understands the significance of matrix decompositions

Credits: 5

Schedule: 26.07.2023 - 28.08.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Harri Hakula

Contact information for the course (applies in this implementation):

Matrix Algebra 

Welcome to our course, where we explore a wide range of topics related to matrices. Some of the key concepts we cover include Gaussian Elimination, Matrix Multiplication, Inverses and Transposes, Linear Independence, Basis, and Dimension, as well as Eigenvalues and Eigenvectors. Detailed information about this course will soon be available in MyCourse.  Get ready for an exciting journey of learning! The textbook for this course is "Introduction to Linear Algebra" by Gilbert Strang, the 4th edition. And notice that all sections of the course will be conducted in-person, within a classroom setting. 

In this course, the homework assignments are pivotal for your learning journey as they serve as the foundation of the course material. As a result, the exercise sessions hold immense importance. During these sessions, we will work collaboratively on the exercises. While you can tackle the exercises individually, I encourage you to engage in discussions with your peers when you encounter challenging problems. Conversations with fellow students can enhance your understanding, clarity, and long-term retention of the material. Together, we can achieve a deeper understanding of the subject and foster a positive and enriching learning environment. However, it is crucial to remember that when it comes to submitting solutions, you must write your own work to maintain academic integrity.

I'm always delighted to receive your messages. To begin our discussion, I would appreciate if you could share your current knowledge and understanding of matrices. Additionally, I'm curious to know what specific aspects of matrices you're interested in learning more about and how you envision utilising them. If you have any questions or thoughts, please don't hesitate to email me at marzieh.faramani@aalto.fi. I eagerly anticipate hearing from you as soon as possible.


CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Vector computations, matrices and systems of linear equations, eigenvalues.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    lectures, exercises and course exam OR exam only

Workload

  • valid for whole curriculum period:

    24+24 (4+4)

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 No teaching
    2023-2024 No teaching

    Enrollment :

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

Details on the schedule

  • applies in this implementation

    Depending on the number of students who register for the course, it may be necessary to divide them into two groups. This is why you might notice that the exercise session hours are doubled in the below timetable. The purpose behind this is to accommodate a larger student population by creating smaller groups. Splitting the students into smaller groups allows for better interaction and engagement during the exercise sessions. It enables the instructor to provide individual attention and address questions and concerns more effectively. Moreover, it promotes a collaborative learning environment among the students.

    We have provided a timetable outlining the schedule for the course as follows:


    Week

    Date

    Lecture sessions   

    Exercise sessions

    30

    Wed  26.07.2023      

    9:00-11:00    Room number: M1          

    12:30 - 15:00   Room number: U358 

    Fri  28.07.2023

    9:00-11:00    Room number: U3

    12:30 - 15:00   Room number: U358 

    31

    Mon 31.07.2023

    9:00-11:00    Room number: U3

    12:30 - 15:00   Room number: U358 

    Wed 02.08.2023

    9:00-11:00    Room number: M1


    Fri 04.08.2023

    9:00-11:00    Room number: U3

    12:30 - 15:00   Room number: U358 

    32

    Mon 07.08.2023

    9:00-11:00    Room number: M1

    12:30 - 15:00   Room number: U358 

    Wed 09.08.2023

    9:00-11:00    Room number: M1


    Fri 11.08.2023

    9:00-11:00    Room number: U3

    12:30 - 15:00   Room number: U358 

    33

    Mon 14.08.2023

    9:00-11:00    Room number: M1

    12:30 - 15:00   Room number: U358 

    Wed 16.08.2023

    9:00-11:00    Room number: M1


    Fri 18.08.2023


    12:30 - 15:00   Room number: U358 

    34

    Mon 21.08.2023

    9:00-11:00    Room number: M1

    12:30 - 15:00   Room number: U119

    Wed 23.08.2023

    9:00-11:00    Room number: M1


    Fri 25.08.2023


    12:30 - 15:00   Room number: U119




     






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