Search results: 933
Lean Manufacturing Systems (ISE4333/ISE4532)
Lean Manufacturing is about creating value. The Lean process starts with creating value for the ultimate customer which requires providing the right product at the right time for the specified price. While all manufacturing attempts to do this, what makes Lean Manufacturing distinct is the relentless pursuit and elimination of waste. Students will learn the concepts and tools of Lean which include types of waste, visual management, value stream analysis, flow, Just in Time, pull, and Kaizen.
Lifestyle marketing strategies (FSHN441n/FSHN441)
This course introduces the theories and practices of meeting the consumers' needs by creating and marketing fashion products that appeal to consumer lifestyles. The students are identifying and observing fashion customers and their buying behaviour.
Linear Algebra (MTH105a/MTH106a) ARTS
This module is an introduction to the basics of linear algebra. Matrix and vector operations are studied to solve a system of linear equations. The concepts of vector spaces, eigen values and eigen vectors are understood and used to solve linear problems.
Literature for Young Readers (elective)
This course focuses on what makes children’s literature for children. The students will address questions such as, what are the defining features of children’s literature? What makes it for children rather than for adults? How does its intended audience shape its form? How do its form and style—including its illustrations—shape its content?
Machine Learning (CS464/CS490)
AIMS This course introduces the fundamentals of neural networks, basic philosophy of neural network architectures and its relation to practical problems such as image and speech processing. It introduces the association techniques, classification and clustering. It illustrates the concepts of building, training and testing a neural network. LEARNING OUTCOMES Knowledge On completion of this module, the successful student will be able to: • Appreciate the concept of Neural Network • Contrast human perception with electronic perception. • Compare the different types of Neural Networks. • Classify Neural Networks. Skills This module will call for the successful student to demonstrate: • Implement Neural Networks concepts to solve problems. • Use Neural Networks tools to design, train the network. • Build different Neural Networks applications such as OCR (Optical Character Recognition), forecasting … etc. SYLLABUS • Introduction. • Classification. • Simple Perception. • Adeline Network. • Unsupervised Learning Network. • Association & Auto association TEACHING/LEARNING STRATEGIES • Weekly lectures to introduce the basic concepts of the course subjects. • Weekly tutorials to discuss the solution of the weekly homework assignments. • Weekly computer laboratory to use readymade software to apply the concepts of Neural Networks to solving problems. • Class presentations the student will be assigned a specific subject to investigate in depth and make in class presentation. Assessment Scheme • Unseen Examinations 60 % • Coursework 40% Learning materials Elements of Artificial Neural Networks by Kishan Mehrotra, Chilukuri K. Mohan, and Sanjay Ranka, MIT Press, 1996
Macro Theory – II (ECO_301II/ECO301II)
The module will begin by reviewing theso-called modern approach to aggregate demand and aggregate supply. Thisentails incorporating into the classical approach to aggregate supply andaggregate demand insights from Keynesian economics. This will serve as a baseto discuss the role of macroeconomic policy in controlling fluctuations inoutput and employment. In particular, the module will focus on introducing themodern theory of expectations and economic dynamics and on using this approachto analyse long run fluctuations. The module also aims at s tudying therole of macroeconomic policy on long run fluctuations .
Macroeconomic Theory I
Macroeconomics is concerned with the understanding of aggregate phenomena such as economic growth, business cycles, unemployment, inflation, and international trade among others. ... These topics are of particular relevance for the development and evaluation of economic policy.
Maintenance Planning (ISE461/ISE444)
This module is designed to provide students with an understanding of the objectives and organization of maintenance systems. Planning of maintenance operations. Estimation of time and cost of maintenance operations. Manpower requirements planning. Spare parts requirements planning. Preparation of maintenance budgets. Annual and monthly maintenance plans. Planning plant shutdown. Equipment reliability and failure. Control of maintenance operations. Performance evaluation of maintenance systems. Analysis and solution of maintenance problems. Maintenance management by computer. Real case studies. |
Management Decision Support Systems (MIS461/MIS361)
This module aims to provide the student with a comprehensive guide to the revolutionary management support system technologies, and how they can be used for better decision making. The module presents the sue of modelling and simulation in the decision process then provides an in depth survey of the use of current IT technologies in DSS such as data warehousing, data mining, OLAP, knowledge management, artificial intelligence and expert system.
Manufacturing and non conventional processes (MFG5332\MFG5531)
This module is designed to provide students with the fundamental of some non- conventional processes such as Chemical Machining (CM), Electrochemical Machining (ECM), Electric Discharge Machining (EDM), Laser Beam Machining (LBM), Electron Beam Machining (EBM), Ultrasonic Machining (USM), Abrasive Jet Machining (AJM), Hydrodynamic Machining (HDM) and Abrasive Flow Machining (AFM). Focus on the use of new tools, concepts, terminology, function and industrial applications of each process of non - conventional processes.
Manufacturing Process I (MFG233 - MFG253)
This module is designed to provide students with a thorough understanding of the processing by constitution and structure of casting, forming, and joining alloys. Properties and applications of Materials used in Manufacturing .Characteristics of casting, characteristics of forming , characteristics of joining, characteristics of ceramic and Polymer Processing.. |
Manufacturing Processes II
This module is designed to provide students with a thorough understanding of the fundamentals of chip - type machine processes. Cutting tools for machining and materials removal. Mechanics and Dynamics of Metal Cutting. Turning, boring and related machining processes. Drilling and related hole making processes, milling, broaching, sawing, shaping and planning, and abrasive machine processes. Creating processes Card, Operation Step card and Operation Sketch. Perform various machining operations, selection of tools, calculation of feed and speed, and machining time.
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Marine Natural Products (PHG402)
This course enables the student to understand the importance of marines life and marines natural products, describe and deal with: the composition and bioactivity of sea water, the marine ecosystem and classification of major phyla of marine organisms; the importance of marine drugs as leads for novel pharmaceuticals; the chemistry, bioactivity and/ or toxicity of metabolites derived from marine organisms (specially algae, invertebrates and microorganisms); as well as, the techniques adopted for drug-development from marine resources.