MS-A0011 - Matrix Algebra, Lecture, 26.7.2023-28.8.2023
This course space end date is set to 28.08.2023 Search Courses: MS-A0011
Topic outline
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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. Notice that all sections of the course will be conducted in-person, within a classroom setting.
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. Let's explore the practical applications and significance of matrices together. 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.
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 strongly encourage you to engage in discussions with your peers when you encounter challenging problems. Engaging in conversations with fellow students about linear algebra concepts can greatly enhance your understanding, clarity, and long-term retention of the material. Exploring different perspectives and approaches through collaboration can be highly beneficial. Let us embrace a culture of collaboration, where we support and assist one another in unraveling the complexities of linear algebra. 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.
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: M1
12:30 - 15:00 Room: U358
Fri 28.07.2023
9:00-11:00 Room: U3
12:30 - 15:00 Room: U358
31
Mon 31.07.2023
9:00-11:00 Room: M1
12:30 - 15:00 Room: U358
Wed 02.08.2023
9:00-11:00 Room: M1
Fri 04.08.2023
9:00-11:00 Room: U3
12:30 - 15:00 Room: U358
32
Mon 07.08.2023
9:00-11:00 Room: M1
12:30 - 15:00 Room: U358
Wed 09.08.2023
9:00-11:00 Room: M1
Fri 11.08.2023
9:00-11:00 Room: U3
12:30 - 15:00 Room: U358
33
Mon 14.08.2023
9:00-11:00 Room: M1
12:30 - 15:00 Room: U358
Wed 16.08.2023
9:00-11:00 Room: M1
Fri 18.08.2023
12:30 - 15:00 Room: U358
34
Mon 21.08.2023
9:00-11:00 Room: M1
12:30 - 15:00 Room: U119
Wed 23.08.2023
9:00-11:00 Room: M1
Fri 25.08.2023
12:30 - 15:00 Room: U119
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I wanted to inform you all about an exciting activity we have planned for our last lecture session. On Wednesday, August 23rd, we will be conducting a review quiz game using the Kahoot website.
To participate in this quiz game:
- Ensure you have access to the Kahoot website.
- Bring along your phone or laptop for the best experience.
This quiz is designed for two main purposes:
- To provide you with an engaging way to review the course material.
- To help you identify areas where you might need further clarification or understanding.
To make the most of this activity, I strongly recommend that you review the course materials before the quiz. Not only will this prepare you better for the game, but it will also help you gauge your understanding of the topics we've covered so far.
Please note that this quiz is just for fun and review. It won't affect your grades, and we won't be assessing the results. It's a chance for you to reflect on what you've learned and have a bit of fun in the process.
Looking forward to seeing you all in the classroom M1.
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