Aims and Fit of Module

To give students a broad education in linear algebra
To give students an appreciation of the application of linear algebra;
To develop the students' ability to work independently and to acquire the skill of problem solving.

Learning outcomes

A to have a good understanding of the basic concepts which are the subject of this module
B to be skillful of problem solving
C to be able to establish mathematical models for simple practical problems

Method of teaching and learning

Students will be expected to attend two hours of formal lectures and supervised problem classes or tutorials in a typical week. Lectures and tutorials will introduce students to the academic content and practical skills which are the subject of the module, while tutorials and problem classes will allow students to practice those skills. In addition to the time of classes, students will be expected to devote the unsupervised time to private study. Private study will provide time for reflection and consideration of lecture material and background reading. Students are encouraged to utilize AI tools and to critically explore the strengths and limitations of employing generative AI for enhancing their learning and comprehension of concepts in linear algebra, including understanding when generative AI works effectively and when it does not. The in-semester exam and the continuous coursework assessment will be used to test to what extent practical skills have been learnt. The written examination at the end of the semester constitutes the major part of the assessment of the academic achievement of students.