iTEL
This course offers a comprehensive understanding of economics from an Islamic perspective. It begins with an introduction to Islamic economics, explaining the foundational principles and distinctions from conventional economics. Students will explore microeconomics from an Islamic perspective, covering key topics such as supply and demand, costs and production, and the behavior of firms within various market structures, all examined through the lens of Islamic values. On the macroeconomic front, the course addresses issues like aggregate supply and demand, the role of government debt, and fiscal policy from an Islamic viewpoint. It further examines the characteristics of macroeconomic equilibrium in an Islamic economy, helping students understand the unique approaches to maintaining economic stability and growth. The course also covers money and monetary policy within an Islamic framework, and delves into the concepts of economic and social welfare, highlighting the importance of fair wealth distribution and social justice in Islamic economics. Throughout the course, students will engage in practical applications of their learning through presentations, encouraging them to apply theoretical knowledge to contemporary economic issues.
This course will teach the students on suitable concepts in statistics and probability; and its applications in engineering.
There is an increasing amount of data available to Chemical Engineers in the multitude of areas that they can apply themselves in. To take advantage of this, it is essential to equipped the Chemical Engineering graduate with data science tools. Data storage, analysis, and visualisation plays an increasingly important role in the discipline. Chemical engineers are dealing with more, and more-complex problems and solutions are available in the details obtained from data.
For example, a modern plant will be equipped with cheap instrumentation and widely accessible high-bandwidth and fast connectivity. The engineer working in this plant will have a high volume of data. These data need to be processed, analysed and visualised.
Another example would be in the area of research and discovery, a student or researcher conducting data-intensive experiments, such as high-resolution particle tracking, might generate more data in an afternoon than a student from a previous decade would have generated in the entire time spent earning their PhD. For those conducting mathematical modeling and computer simulations, advanced algorithms and hardware now give simulators unprecedented resolution at the cost of massive increases in the dataset.
The aim of this course is for the students to become proficient in evaluating complex data using hypothesis testing and apply statistical method through computation methods to solve chemical engineering problems.
ABOUT THIS COURSE This course offers a unique opportunity for HA20 2nd Year Students and HA52 3rd Year Students to dive into a thought-provoking and essential topic: Children in Troubled Families. Whether you're taking this course as a requirement or as an elective, you’ll embark on a journey to explore the complex realities that children face when living in difficult, often heart-wrenching, circumstances. Throughout this course, you’ll gain a deep understanding of key definitions, concepts, and theories that help explain the struggles these children experience. We will uncover the psychological, mental, and emotional challenges they endure, and explore real-world issues that continue to affect children living with disadvantaged families or in troubled environments. You will be introduced to a variety of critical topics, such as how these conditions impact both children and their families, and you’ll engage in discussions that focus on the why and how behind these situations. What forces drive these family challenges? What ripple effects do they create on the children’s lives? This course doesn’t just focus on the problems—it’s also about solutions. Together, we will brainstorm and discuss practical ways to minimize the negative impacts these circumstances can have on children. Expect a mix of in-depth theory, real-world examples, and solution-based discussions to empower you to understand and, perhaps, influence positive change for children in troubled families. WEEKLY LECTURE: MONDAY (9.00AM - 11.00AM) VENUE: SEMINAR ROOM 2 (BS2) TUTORIALS: SECTION 1 (8.00AM - 9.00AM) elective Social Work SECTION 2 (9.00AM - 10.00AM) elective Social Work SECTION 3 (10.00AM - 11.00AM) Core Course SECTION 4 (11.00AM - 12.00PM) Core Course
This course will enable the candidates to apply the advanced management concepts to become a transformational leader in finding practical solutions to face the challenges in healthcare sectors (both public and private). The course will encompass conceptual basis for advanced quantitative methods relevant to healthcare decision making, application of management theories and principles in health care management. They will gain hands-on application of epidemiological management in handling of current health problems and emerging crisis. They will be involved in evaluating strategic changes in health care with emphasis on human resource management, appropriate allocation of resources, public health communication and health informatics.