MA2155 Mathematical Methods and Analysis I

Part I

Course Duration: One semester

Credit Units: 3

Level: B2

Medium of Instruction: English

Prerequisites: Nil

Precursors: Nil

Equivalent Courses: MA2147 Foundation Mathematics

Exclusive Courses: Nil

Part II      

Course Aims

This course aims to develop an understanding of elementary linear algebra and differential calculus. It provides students with the skills of solving scientific and engineering problems formulated as linear systems, one dimensional optimization problems and nonlinear algebraic equations.

Course Intended Learning Outcomes (CILOs)
Upon successful completion of this course, students should be able to:

No.

CILOs

Weighting (if applicable)

1.

explain concepts from linear algebra and single variable calculus.

1

2.

evaluate derivatives and integrals of univariate functions.

3

3.

implement basic operations for complex numbers, vectors, matrices, determinants, and solve systems of linear equations.

3

4.

use method of vectors in deriving equations of lines and planes.

1

5.

apply mathematical and computational methods to a range of scientific and engineering applications involving linear algebra, calculus and complex numbers.

2

6.

the combination of CILOs 1--5

3

 

Teaching and Learning Activities (TLAs)
(Indicative of likely activities and tasks designed to facilitate students’ achievement of the CILOs. Final details will be provided to students in their first week of attendance in this course)

TLAs

CILO No.

Hours/week

Learning through teaching is primarily based on lectures.

1--6

32 hours in total

Learning through tutorials is primarily based on interactive problem solving allowing instant feedback.

 

2

2 hours

3, 4

2 hours

1

1 hour

5

2 hours

Learning through take-home assignments helps students understand basic concepts and techniques of basic linear algebra, single variable calculus, complex numbers, and some applications in engineering science.

1--5

         after-class

Learning through online examples for applications helps students apply mathematical and computational methods to some problems in engineering applications.

5

         after-class

Learning activities in Math Help Centre provides students extra help.

1--5

         after-class

 

Assessment Tasks/Activities
(Indicative of likely activities and tasks designed to assess how well the students achieve the CILOs. Final details will be provided to students in their first week of attendance in this course)

30% Coursework

70% Examination (Duration: 3 hours, at the end of the semester)

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.

 

Assessment Tasks/Activities

CILO No.

Weighting (if applicable)

Remarks

Test

1--3

15-30%

Questions are designed for the first part of statistics to see how well the students have learned the basic concepts, and techniques of basic linear algebra and single variable calculus as well as some applications.

Hand-in assignments

1--5

0-15%

These are skills based assessment to see whether the students are familiar with the basic concepts, techniques of linear algebra, elementary calculus, complex numbers and their related applications in engineering.

Examination

6

70%

Examination questions are designed to see how far students have achieved their intended learning outcomes. Questions will primarily be skills and understanding based to assess the student’s versatility in elementary linear algebra and calculus, and complex numbers.

Formative take-home assignments

1--5

0%

The assignments provide students chances to demonstrate their achievements on linear algebra and single variable calculus learned in this course.

 

Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations

Part III

Keyword Syllabus

Differentiation and Applications. Integration and Applications. Complex Numbers.  Vectors, Matrices, Determinants and System of Linear Equations. Coordinate Geometry in Space, Vector Equations of Lines and Planes. 

Related Links
Department of Mathematics