MA3516 Introduction to Industrial Mathematics

Part I

Course Duration: One semester
Credit Units: 3
Level: B3
Medium of Instruction: English
Prerequisites: MA3511  
Precursors:    MA3513
Equivalent Courses: Nil
Exclusive Courses: Nil

Part II      

Course Aims
This course aims to provide a solid grounding for students on model formulation and the techniques of solving industrial problems by applying numerical and computational methods. It also creates a learning opportunity through small group participation which encourages students to communicate with technical and non-technical personnel.

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

No.

CILOs

Weighting (if applicable)

1.

solve industrial problems with modeling, analytical and computational techniques based on the theories and principles learnt.

3

2.

describe diverse applications of applied mathematics in industry.

2

3.

create and formulate mathematical models of industrial phenomena with more advanced numerical and computing software packages.

3

4.

analyze solutions of industrial problems from a mathematical viewpoint.

2

5.

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--5

26 hours in total

Learning through laboratory sessions helps students practise hand-on skills in solving and analyzing more complex mathematical problems with appropriate computing packages.

1, 3--4

13 hours in total

Learning through take-home assignments helps students familiarize with basic concepts and techniques of numerical and computing methods in solving industrial problems.

1--4

after-class

Learning through project(s) helps students apply numerical and computational methods in modeling and approaching technical problems of industry. It also helps students to communicate and collaborate effectively in the team.

1, 3--4

after-class

Learning through online examples for applications helps students set up models numerically for a diversity of problems involving industrial mathematics.

3

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)

100% Coursework

Assessment Tasks/Activities

CILO No.

Weighting (if applicable)

Remarks

Test

1,3

25-50%

Questions are designed for the first part of the course to see how well students have learned the concepts of numerical methods and computational techniques commonly applied in industry.

Hand-in assignments

1--4

0-25%

These are skills based assessment to enable students to implement numerical methods in solving mathematical problems on industrial applications and to manipulate software packages in formulating solutions.

Project(s)

1, 3--4

50%

Students are assessed on their ability in applying mathematical and computational methods to solve industrial problems, as well as on the presentation of numerical results with analysis.

Formative take-home assignments

1--4

0%

The assignments provide students chances to demonstrate their achievements on industrial mathematics learned in this course.

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

Part III

Keyword Syllabus
Selected mathematical topics in various applications, such as transportation, environmental science, finance, tele-communication, etc. Mathematical models are developed and analyzed in a problem-solving based approach.

Related Links
Department of Mathematics