Last modified: 09 Jun 2023 10:46
This course introduces the concepts of complex numbers, matrices and other basic notions of linear algebra over the real and complex numbers. This provides the necessary mathematical background for further study in mathematics, physics, computing science, chemistry and engineering.
Study Type  Undergraduate  Level  1 

Term  First Term  Credit Points  15 credits (7.5 ECTS credits) 
Campus  Aberdeen  Sustained Study  No 
Coordinators 

The basic course includes a discussion of the following topics: complex numbers and the theory of polynomial equations, vector algebra in two and three dimensions, systems of linear equations and their solution, matrices and determinants.
Syllabus
Information on contact teaching time is available from the course guide.
Assessment Type  Summative  Weighting  70  

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Knowledge Level  Thinking Skill  Outcome 

Assessment Type  Summative  Weighting  10  

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Knowledge Level  Thinking Skill  Outcome 

Assessment Type  Summative  Weighting  10  

Assessment Weeks  Feedback Weeks  
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Knowledge Level  Thinking Skill  Outcome 

Assessment Type  Summative  Weighting  10  

Assessment Weeks  Feedback Weeks  
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Knowledge Level  Thinking Skill  Outcome 

There are no assessments for this course.
Assessment Type  Summative  Weighting  

Assessment Weeks  Feedback Weeks  
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Knowledge Level  Thinking Skill  Outcome 

Knowledge Level  Thinking Skill  Outcome 

Conceptual  Apply  Have a working knowledge of basic logical rules 
Conceptual  Remember  Know the definition of complex numbers and their essential role in mathematics 
Procedural  Apply  Perform elementary manipulation of complex numbers and their geometrical representation. 
Procedural  Apply  Carry out division of polynomials and solve polynomial equations up to degree three. 
Conceptual  Understand  Understand matrix representation of systems of linear equations. 
Procedural  Apply  Solve systems of linear equations using Gaussian elimination. 
Procedural  Apply  Perform calculations, such as matrix inversion, finding eigenvalues and eigenvectors, and diagonalization. 
Factual  Understand  Have an understanding of the need of precision in mathematics 
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