NAME OF COURSE/MODULE: ENGINEERING MATHEMATICS 1
COURSE CODE: KEH1123
NAME(S) OF ACADEMIC STAFF: Assoc. Prof. Dr. Janatul Islah Binti Mohammad
RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME: This course provides problem-solving skills in relation to engineering problems. Good mathematical background is essential.
SEMESTER AND YEAR OFFERED: SEM 1 / YEAR 1
TOTAL STUDENT LEARNING TIME (SLT) FACE TO FACE TOTAL GUIDED AND INDEPENDENT LEARNING
L = Lecture

T = Tutorial

P = Practical

O= Others

L

42

T

 

12

P

 

0

O

0

Guided: 54 hours

Independent Learning: 66 hours

Total: 120 hours

CREDIT VALUE: 3
PREREQUISITE (IF ANY): NONE
OBJECTIVES: To learn and acquire various mathematical skills and operations before applying the knowledge to solving engineering applications.
LEARNING OUTCOMES: Upon completion of this course, students should be able to:

CLO1: Analyse the essential concepts, principles and theories of engineering mathematics (C4 – PO2)

CLO2: Display the ability to solve the problems related to engineering mathematics (P4)

CLO3: Demonstrate the ability to communicate and explain on concepts of engineering mathematics (A3)

TRANSFERABLE SKILLS: Students should be able to develop and apply characteristic of good engineer skills and interpersonal communication, team work and leadership, problem solving, planning and organisational skills through a process of lectures and tutorials.
TEACHING-LEARNING AND ASSESSMENT STRATEGY: Teaching-learning strategy:

·   Problem Based Learning

·   Outcome Based Learning

Assessment strategy:

·         Formative

·         Summative

SYNOPSIS:

 

This course provides introduction to Engineering Mathematics and consolidation of core mathematical skills for students requiring the highest levels of sophistication in the development and practice of engineering problems. The course covers: Calculus and algebra which forms the basis of the mathematical knowledge required to model physical, environmental, biological and engineering systems and investigates their behaviour. This course assumes an understanding of the basic topics and develops them further. In particular, vector and matrix operations, determinants, inverses and eigenvalues will be considered along with differentiation, integration, sequences and series, differential equations and introductory multivariable calculus and multiple integration.
MODE OF DELIVERY: Lectures, Tutorials and Multimedia aid
ASSESSMENT METHODS AND TYPES:
A. Continuous Assessment (50%)
Category Percentage
I.            Test (s)

II.            Individual/group assignment

 20%

30%

B. Final Examination (50%)
i.          Examination 50% Structured type questions
MAIN REFERENCES SUPPORTING THE COURSE
  1. James, G., Burley, D., Clements, D., Dyke, P., Searl, J., and Wright, J. 2010. Modern Engineering Mathematics. 4th edition with MyMathLab. Prentice Hall
ADDITIONAL REFERENCES SUPPORTING THE COURSE
  1. Stroud, K A & D J Booth. 2007. Engineering Mathematics. 6th edition. Palgrave Macmillan
  2. Bird, J O. 2007. Engineering Mathematics. 5th edition. Newnes.
  3. Berry, J & T Watkins. 2006. Engineering Mathematics: A User Friendly Introduction. Albion/Horwood Pub.
  4. Singh, K. 2003. Engineering Mathematics: Through Applications. Industrial Press.
  5. Sundaram, V. 2002. Engineering Mathematics. Sangam Books Ltd.
  6. Croft, A. 2000. Engineering Maths First-Aid Kit. Pearson Education Ltd