FACULTY OF ENGINEERING

Course Name: MANAGEMENT FOR ENGINEERS (TEACHING)

Course Code: KC09903

Course Synopsis & Course Learning Outcome: Summative assessment

Course Name: PROCESS EQUIPMENT DESIGN

Course Code: KC22202

Course Synopsis: This course covers designing process equipment by applying intuition, critical thinking, and engineering principles. Students are taught the step-by-step approach to solve complex engineering problems via innovative design. The concept of sustainability, Industry Revolution 4.0 (IR4.0), and basic engineering drawing are covered, for the students to apply them in designing the process equipment. The purpose of this course is to prepare the students with the ability to apply chemical engineering principles and applications to design a piece of chemical process equipment that works economically, safely, environment-friendly, and without raising concerns in society.

At the end of the course the students will be able to:

1) produce a solution to a complex engineering problem using standard chemical process engineering design methods (C6, PLO2, WK4, WP1)

2) produce a process simulation on the process equipment (C6, PLO5, WK6, WP1)

3) produce a P&ID, engineering drawing, and mechanical specification of process equipment according to British Standard. (C6, PLO5, WK6, WP1)

Brief description of presentation submitted: Sharing on T&L of a design subject using Telegram

Course Name: CIVIL ENGINEERING MATERIALS

Course Code: KA10102

Course Synopsis: Introduction to common civil engineering materials used in construction. It discusses the performance of the construction materials, the composition, engineering behaviours, manufacturing process, properties that affect their performance and how they are used in construction.

Course Name: ASYNCHRONOUS LEARNING - EFFECTIVE ONLINE PRESENTATION Forum

Course Synopsis: Pedagogy / Learning Design first, Technology second

An intended learning outcome should describe what students should know or be able to do at the end of the course that they couldn't do before.

Brief description of experiences / presentation submitted: An Abstract is a short document that is intended to capture the interest of students.

Course Name: APPLIED MECHANICS AND ELECTRICAL TECHNOLOGY

Course Code: KE27803 and KG22802

Course Synopsis: Applied mechanics: This course introduces the principles of statics and dynamics. The scope of the course covers the basic of external and internal forces, employing vector for analysis. Equations of equilibrium will be introduced to examine the static equilibrium condition for a body. Kinematics and kinetics of a particle are then discussed to study the dynamic system involving in a particle. The understanding of mechanic is required as an engineer to mathematically model and predict the behavior of physical systems. Especially for Industry 4.0, the behaviors of machine interface is well explained by applied mechanics in the areas of industrial production.

Electrical technology: The course provides basic knowledge of electrical and electronic elements of common practices for non-electrical engineers at the undergraduate level.It will highlight the fundamentals of electrical engineering to enable the student to apply simple electrical circuits and network in their working environment. This subject will cover on DC and AC systems (single and three phase systems) and analyze simple network using electrical basic laws; Ohm’s Law, Kirchhoff’s Law, current and voltage divider, nodal and loop analysis. Students will be exposed on simple magnetic circuits, transformers and introduction to electrical machines.

Brief description of presentation submitted: Out of three presentation made by Zoom interface two are in applied mechanics relating to mechanical and electrical system and their interface . One in electrical technology relating to AC circuit phasor analysis

Course Name: PROBABILITY AND RANDOM VARIABLES

Course Code: KE27403

Course Synopsis: This course is intended to introduce the concepts of probability and random processes and to discuss their application to engineering problems. Particular emphasis is given to application of these methods to systems analysis. Among the topics covered are: an introduction to probability theory, and the modeling and analysis of probabilistic systems; Sample space, probabilistic models, conditional probability; Discrete and continuous random variables; Transform techniques; Limit Theorems; and elements of statistical inference and estimation.

A student who successfully fulfills the course requirements will have demonstrated:

CO1. Compute the behavior and response of random phenomena through the concepts of expectation, conditioning and independence.

CO2. Make inferences, estimates and decisions about signals and systems in the presence of uncertainty.

CO3. Apply the different mathematical models to describe random phenomena of importance in electrical engineering through concepts of random variables.

Brief description of experiences / presentation submitted: Teaching mathematical-oriented courses are not easy to do online. You cannot just make a video lecture and hope that students can understand the materials presented. A majority of students entering engineering programmes in UMS lack strong foundation in mathematics. Hence, they require more guidance in heavily mathematical-oriented courses which are difficult to provide online. Furthermore, human beings are poor judges of when they are learning well and when they are not. They are susceptible to illusions that can hijack their judgment of what they know or can do. This is especially true when they are exposed to materials which makes the concepts sound so easy. Hence, in developing the online components for my class, I consider the following strategies:

1. Conduct weekly quiz as well as comprehensive multiple choice once very few weeks. Constant quizzing strengthens memory and interrupts forgetting.

2. Develop adaptive learning modules in which students need to work through the materials, watch videos and do quizzes. Not a favorite among students, but learning is deeper and more durable when it is effortful.

3. Use breakout-rooms during lectures to get groups to solve a problem. Trying to solve a problem before being taught the solution leads to better learning.

Course Name: COMMUNICATION SYSTEM

Course Code: KE37603

Course Synopsis: This course focuses on the analysis and design of communication systems, including both analog and digital systems. It will cover modulation and demodulation techniques, performance of modulation in noise, and application of these techniques to current systems, including radio, TV, satellite, and cellular systems. The analog communication systems will be studied first. Then the basic theories for digital communications are briefly covered, such as random process, estimation and detection, information theory, and error correct coding. Through these theories, current digital communication techniques will be investigated.

Brief description of experiences / presentation submitted: Online lecture

Course Name: LABORATORY I

Course Code: KS16001

Course Synopsis: In this course, the fundamentals of electronic circuits and designs will be explored. The experiments in this courses support the overall learning process by helping student to develop practical skills in the use of power supplies, instruments, and components in a hands-on test environment. It also help student to develop the techniques of gathering accurate experimental information and communicating that information to others through written reports and tabulated data.

By the end of the course, students have:

1. The ability to use electrical instruments to measure electrical quantities

2. The ability to properly use modelling and simulation tools