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Unit Matematik 2022

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Account’s Programme Educational Objectives (PEO)

Upon a year of graduation from the programme, graduates are:

PEO 1

Knowledgeable and technically competent in accounting disciplines in-line with higher educational institution requirement

PEO 2

Able to apply information and data to solve problems in accounting disciplines

PEO 3

Able to communicate competently and collaborate effectively in group work to compete in higher education environment

PEO 4

Able to use basic information technologies and engage in life-long learning to continue the acquisition of new knowledge and skills

PEO 5

Able to demonstrate leadership skills and practice good values and ethics in managing organisations

 

Account’s Programme Learning Outcomes (PLO)

At the end of the programme, students should be able to:

PLO 1

Acquire and recognise basic concepts of Accounting, Business Studies and Economics

PLO 2

Apply appropriate skills in problem solving

PLO 3

Practise management and economic tools used in accounting and business field

PLO 4

Collaborate in group work with skills required for higher education

PLO 5

Deliver ideas, information, problems and solution in verbal and written communication

PLO 6

Use basic digital technology to seek and analyse data for management of information

PLO 7

Interpret familiar and uncomplicated numerical data to solve problems

PLO 8

Demonstrate leadership, autonomy and responsibility in managing organization

PLO 9

Initiate self-improvement through independent learning

PLO 10

Practice good values attitude, ethics and accountability in STEM and professionalism

 

Course

Mathematics 1

Code Subject

AM015

 

Course Learning Outcomes (CLO)

At the end of the course, students should be able to:

CLO 1

Comprehend fundamental concepts and theories in Algebra, Calculus and Financial Mathematics.(C2, PLO 1, MQF LOC i)

CLO 2

Solve problems using appropriate mathematical methods and tools in Algebra, Calculus and Financial Mathematics. (C3 , PLO 2, MQF LOC ii)

CLO 3

Compare familiar and uncomplicated numerical and graphical data in Algebra (C4, PLO 7, MQF LOC iii e)

 

Topics

Topic 1

Number Systems and Equations

Topic 2

Inequalities and Absolute Values

Topic 3

Matrices and Systems of Linear Equations

Topic 4

Linear Programming

Topic 5

Functions and Graphs

Topic 6

Sequences and Series

Topic 7

Mathematics of Finance

 

Course

Mathematics 2

Code Subject

AM025

 

Course Learning Outcomes (CLO)

At the end of the course, students should be able to:

CLO 1

Comprehend fundamental concepts and theories in Calculus and Statistics

CLO 2

Solve problems using appropriate methods and tools in Calculus and Statistics.

CLO 3

Use basic digital technology to analyse data

 

Topics

Topic 1

Differentiation

Topic 2

Integration

Topic 3

Application of Differentiation and Integration in Economics and Business

Topic 4

Data Organisation and Description

Topic 5

Introduction to Probability

Topic 6

Discrete Probability Distribution

Topic 7

Normal Distribution

Topic 8

Correlation and Regression

 

Science’s Programme Educational Objectives (PEO)

Upon a year of graduation from the programme, graduates are:

PEO 1

Knowledgeable and technically competent in their respective field of study in-line with higher educational institution requirement

PEO 2

Able to apply information and use data to solve problems in respective field of study

PEO 3

Able to communicate competently and collaborate effectively in group work to compete in higher education environment

PEO 4

Able to use basic information technologies and engage in life-long learning to continue the acquisition of new knowledge and skills

PEO 5

Able to demonstrate leadership skills and practice good values and ethics in managing organizations

 

Science’s Programme Learning Outcomes (PLO)

At the end of the programme, students should be able to:

PLO 1

Acquire knowledge of science and mathematics as a fundamental of higher level education

PLO 2

Apply logical, analytical and critical thinking in scientific studies and problem solving

PLO 3

Demonstrate manipulative skills in laboratory work

PLO 4

Collaborate in group work with skills required for higher education

PLO 5

Deliver ideas, information, problems and solutions in verbal and written communication

PLO 6

Use basic digital technology to seek and analyse data for management of information

PLO 7

Interpret familiar and uncomplicated numerical data to solve problems

PLO 8

Demonstrate leadership, autonomy and responsibility in managing organization

PLO 9

Initiate self-improvement through independent learning

PLO 10

Practice good values attitude, ethics and accountability in STEM and professionalism

 

Course

Mathematics 1

Code Subject

SM015

 

Course Learning Outcomes (CLO)

At the end of the course, students should be able to:

CLO 1

Acquire fundamental concepts and theories in Algebra and Calculus (C2, PLO 1, MQF LOC i)

CLO 2

Solve problems using appropriate mathematical methods and tools in Algebra and Calculus (C3, PLO 2, MQF LOC ii)

CLO 3

Interpret familiar and uncomplicated numerical and graphical data in Algebra (C2, PLO 7, MQF LOC iii e)

 

Topics

Topic 1

Number System

Topic 2

Equations, Inequalities and Absolute Values

Topic 3

Sequences and Series

Topic 4

Matrices and Systems of Linear Equations

Topic 5

Functions and Graphs

Topic 6

Polynomials

Topic 7

Trigonometric Functions

Topic 8

Limits and Continuity

Topic 9

Differentiation

Topic 10

Applications of Differentiation

 

Course

Mathematics 2

Code Subject

SM025

 

Course Learning Outcomes (CLO)

At the end of the course, students should be able to:

CLO 1

Acquire fundamental concepts and theories in Calculus and Statistics.

CLO 2

Propose solutions for real life problems in Calculus and Statistics through group discussion.

CLO 3

Solve problems using appropriate mathematical methods and tools in Calculus and Statistics.

 

Topics

Topic 1

Integration

Topic 2

First Order Differential Equations

Topic 3

Numerical Methods

Topic 4

Conics

Topic 5

Vectors

Topic 6

Data Description

Topic 7

Permutations and Combinations

Topic 8

Probability

Topic 9

Random Variables

Topic 10

Special Probability Distributions