Learning outcome
1.1

1.1 Demonstrate a coherent understanding of the mathematical sciences.
2.1

2.1 Exhibit depth and breadth of knowledge in the mathematical sciences.
3.1

3.1 Investigating and solving problems using mathematical and statistical methods.
4.1

4.1 Communicate mathematical and statistical information, arguments, or results for a range of purposes using a variety of means.
5.1

5.1 Demonstrate personal, professional and social responsibility.
A1

<p>Apply appropriate algorithms to solve linear programming problems;</p>
A2

<p>Apply appropriate software packages to solve elementary problems of linear programming;</p>
K1

<p>Classify the system of linear equations and demonstrate an understanding of methods for solving such systems.</p>
K2

<p>Explain and classify the fundamental structure of matrices and matrix arithmetic</p>
K3

<p>Demonstrate an understanding of inverses,determinants, eigenvalues and eigenvectors of matrices.</p>
K4

<p>Explain the nature of vectors.</p>
K5

<p>Recognise the basic techniques used for problems in linear programming</p>
S1

<p>Express and solve systems of linear equations;</p>
S2

<p>Apply the operations of addition, multiplication, and transposition of matrices;</p>
S3

<p>Calculate the determinant and inverse of a matrix;</p>
S4

<p>Evaluate simple algebraic statements about vector addition, scalar multiplication and inner products;</p>
S5

<p>Apply vectors and operations involving vectors to solve problems involving lines and planes in 3-space;</p>
S6

<p>Calculate eigenvalues and eigenvectors of a matrix;</p>
S7

<p>Graphically explain linear programming problems in 2 dimensions;</p>
Learning outcome
1.1

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4

1.4 Discernment of knowledge development and research directions within the engineering discipline.
1.5

1.5 Knowledge of contextual factors impacting the engineering discipline.
1.6

1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.
2.1

2.1 Application of established engineering methods to complex engineering problem solving.
2.2

2.2 Fluent application of engineering techniques, tools and resources.
2.3

2.3 Application of systematic engineering synthesis and design processes.
2.4

2.4 Application of systematic approaches to the conduct and management of engineering projects.
3.1

3.1 Ethical conduct and professional accountability.
3.2

3.2 Effective oral and written communication in professional and lay domains.
3.3

3.3 Creative, innovative and pro-active demeanour.
3.4

3.4 Professional use and management of information.
3.5

3.5 Orderly management of self, and professional conduct.
3.6

3.6 Effective team membership and team leadership.
A1

<p>Apply appropriate algorithms to solve linear programming problems;</p>
A2

<p>Apply appropriate software packages to solve elementary problems of linear programming;</p>
K1

<p>Classify the system of linear equations and demonstrate an understanding of methods for solving such systems.</p>
K2

<p>Explain and classify the fundamental structure of matrices and matrix arithmetic</p>
K3

<p>Demonstrate an understanding of inverses,determinants, eigenvalues and eigenvectors of matrices.</p>
K4

<p>Explain the nature of vectors.</p>
K5

<p>Recognise the basic techniques used for problems in linear programming</p>
S1

<p>Express and solve systems of linear equations;</p>
S2

<p>Apply the operations of addition, multiplication, and transposition of matrices;</p>
S3

<p>Calculate the determinant and inverse of a matrix;</p>
S4

<p>Evaluate simple algebraic statements about vector addition, scalar multiplication and inner products;</p>
S5

<p>Apply vectors and operations involving vectors to solve problems involving lines and planes in 3-space;</p>
S6

<p>Calculate eigenvalues and eigenvectors of a matrix;</p>
S7

<p>Graphically explain linear programming problems in 2 dimensions;</p>