Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Courseware

Micro/Nano Engineering Laboratory

This course encourages creative thinking through hands-on experience via building, observing and manipulating micro-and nano-scale structures. Students learn about underlying science and engineering principles and possible applications.

Subjects:: Mechanical Engineering
Keywords:: Microtechnology Nanotechnology
Resource Type:: Courseware

Video

Michel van Biezen

This channel contains a complete list of physics videos, as well as hundreds of chemistry, astronomy, math, and mechanical engineering videos. The physics videos explain the fundamental concepts of physics with some easy to follow examples on how to solve physics problems. The chemistry videos cover all the basic topics of chemistry, the astronomy videos explain the wonders of Earth and our Universe, and the math videos cover many topics in algebra, trigonometry, pre-calculus, calculus and differential equations.

Subjects:: Chemistry, Mathematics and Statistics, Cosmology and Astronomy, Physics, Mechanical Engineering, and Electrical Engineering
Keywords:: Chemistry Astronomy Electrical engineering Physics Mathematics Mechanical engineering Kalman filtering
Resource Type:: Video

Video

Meditations on The Intersection of Humanity and Technology

Documentary photographer Olivia Arthur has been exploring a new frontier: the evolution of the blurring line between humanity and technology. In this meditative talk, she shows her work documenting the remarkable ways humans have merged with machines -- from bionics and motorized limbs to synthetic muscles and strikingly realistic robots -- and offers wisdom on the complexity, adaptability and resilience of the human body.

Subjects:: Technology and Biomedical Engineering
Keywords:: Human body technology
Resource Type:: Video

Presentation

Media Stream

This video was recorded at COIN / PlanetData Winter School on Knowledge Technologies for Complex Business Environments, Ljubljana 2011. Organized by COIN FP7 Integrated Project and PlanetData FP7 Network of Excellence, the school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability with innovative services and project large-scale data management in business environments. The main topics of the winter school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modelling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies. Detailed information can be found here.

Subjects:: Management and Computing
Keywords:: Data mining Real-time data processing
Resource Type:: Presentation

Courseware

Mechatronics

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

Subjects:: Mechanical Engineering
Keywords:: Mechatronics
Resource Type:: Courseware

MOOC

Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading

This course explores the topic of solid objects subjected to stress and strain. The methods taught in the course are used to predict the response of engineering structures to various types of loading, and to analyze the vulnerability of these structures to various failure modes. Axial loading with be the focus in this course.

Course related:: ME3303 Mechanics of Solids
Subjects:: Mechanical Engineering
Keywords:: Strength of materials Mechanics Applied Materials
Resource Type:: MOOC

Video

Mechanics of Materials

These 56 tutorials cover typical material from a second year mechanics of materials course (aka solid mechanics). A solid understanding of statics and calculus is necessary to properly learn and grasp the concepts of solid mechanics.

Subjects:: Structural Engineering and Mechanical Engineering
Keywords:: Mechanics Strength of materials
Resource Type:: Video

MOOC

Mechanics of Deformable Structures: Part 1

Many natural and man-made structures can be modeled as assemblages of interconnected structural elements loaded along their axis (bars), in torsion (shafts) and in bending (beams). In this course you will learn to use equations for static equilibrium, geometric compatibility and constitutive material response to analyze structural assemblages. This course provides an introduction to behavior in which the shape of the structure is permanently changed by loading the material beyond its elastic limit (plasticity), and behavior in which the structural response changes over time (viscoelasticity). This is the second course in a 3-part series. In this series you will learn how mechanical engineers can use analytical methods and “back of the envelope” calculations to predict structural behavior. The three courses in the series are: Part 1 – 2.01x: Elements of Structures. (Elastic response of Structural Elements: Bars, Shafts, Beams). Fall Term Part 2 – 2.02.1x Mechanics of Deformable Structures: Part 1. (Assemblages of Elastic, Elastic-Plastic, and Viscoelastic Bars in axial loading). Spring Term Part 3 – 2.02.2x Mechanics of Deformable Structures: Part 2. (Assemblages of bars, shafts, and beams. Multi-axial Loading and Deformation. Energy Methods). Summer Term

Subjects:: Mechanical Engineering
Keywords:: Strength of materials Deformations (Mechanics)
Resource Type:: MOOC

Courseware

Mechanical and Aerospace Engineering 165: Advanced Manufacturing Choices

Manufacturing processes can be organized by considering the type of energy required to shape the work-piece. In this course, sources of energy considered for machining are mechanical used for cutting and shaping, heat energy such as in laser cutting, photochemical such as in photolithography, and chemical energy such as in electro chemical machining and chemical vapor deposition (CVD). Students, guided by product specifications and a design will decide: 1) When to apply mechanical machining vs. lithography based machining, 2) What type of mechanical machining and what type of lithography based machining to apply, 3) When to employ bottom-up vs. top-down manufacturing, 4) When to choose serial, batch or continuous manufacturing and 5) What rapid prototyping method to select. A logical decision tree will be presented to sort the machining options. Examples from a variety of products ranging in size from nanometers to centimeters will be considered.

Subjects:: Mechanical Engineering
Keywords:: Manufacturing processes Machining
Resource Type:: Courseware

Courseware

Mechanical and Aerospace Engineering 10: Introduction to Engineering Computations

This course helps students develop computational programming skills and gain experience with computational tools to be used in the solution of engineering problems. Topics include: Introduction to Computing, Basic Matlab commands, Arrays: one-dimensional and multi-dimensional, Flow control, Selective execution, Repetitive execution and iterations, Input and Output, Modular Programming: Functions, Plotting, and Advanced data types.

Subjects:: Aeronautical and Aviation Engineering and Mechanical Engineering
Keywords:: Engineering mathematics -- Data processing Engineering -- Data processing Computer programming
Resource Type:: Courseware

e-journal

Maxwell Scientific Publication Corp.

Maxwell Scientific Publication Corp. operates as an independent science and technology publisher with a global reputation for quality products and services to contribute to the advancement of research knowledge. In this journal platform, you can find the articles which published under the open license. The journal including the disciplines:
Agricultural Sciences
Business Management & Economics Computer & Information Technology
Engineering
Food Science and Technology
Mathematics
Medicines
Social Sciences

Courseware

Materials Processing

This course is focused on physical understanding of materials processing, and the scaling laws that govern process speed, volume, and material quality. In particular, this course will cover the transport of heat and matter as these topics apply to materials processing.

Subjects:: Mechanical Engineering and Materials Science
Keywords:: Mass transfer Heat -- Transmission Transport theory Manufacturing processes Fluid mechanics
Resource Type:: Courseware

Others

Matching various engineering content types

In this exercise, you will learn various engineering content types. For example, journal articles & conference papers, e-books, patents, standards, thesis & dissertations.

Subjects:: Statistics and Research Methods
Keywords:: Information resources Engineering -- Research Information literacy
Resource Type:: Others

e-book

Manufacturing Processes 4-5

This textbook provides an introduction to the important area of manufacturing processes. This text will explain the hows, whys, and whens of various machining operations, set-ups, and procedures. Throughout this text, you will learn how machine tools operate, and when to use one particular machine instead of another. It is organized for students who plan to enter the manufacturing technology field and for those who wish to develop the skills, techniques, and knowledge essential for advancement in this occupational cluster. The organization and contents of this text focus primarily on theory and practice. The machining processes and technology sections in this textbook cover such machine tools as surface grinders, bandsaws, drill presses, milling machines, and the engine lathe. Additionally, the importance of Computer Numerical Control (CNC) in the operation of the most machine tools is explained, and its role in automated manufacturing is explored thoroughly.

Subjects:: Industrial and Systems Engineering
Keywords:: Manufacturing processes Production engineering Textbooks
Resource Type:: e-book

Courseware

Management in Engineering

This course gives an overview of engineering management and covers topics such as financial principles, management of innovation, technology strategy, and best management practices. The focus of the course is the development of individual skills and team work. This is carried out through an exposure to management tools.

Subjects:: Building Services Engineering and Building and Real Estate
Keywords:: Engineering -- Management
Resource Type:: Courseware

e-book

Making Games with Python & Pygame

This book will teach you how to make graphical computer games in the Python programming language using the Pygame library.This book assumes you know a little bit about Python or programming in general. If you don’t know how to program, you can learn by downloading the free book "Invent Your Own Computer Games with Python" from http://inventwithpython.com. Or you can jump right into this book and mostly pick it up along the way. This book is for the intermediate programmer who has learned what variables and loops are, but now wants to know, "What do actual game programs look like?" There was a long gap after I first learned programming but didn’t really know how to use that skill to make something cool. It’s my hope that the games in this book will give you enough ideas about how programs work to provide a foundation to implement your own games.

Subjects:: Computing
Keywords:: Computer programming Computer games Python (Computer program language) Textbooks Programming languages (Electronic computers)
Resource Type:: e-book

Video

Machine Learning: Linear Regression based on Least Squares

An example of using least squares to do data fitting. In this example, we demonstrate how to 1) fit a straight line using ordinary least-squares method, and 2) estimate value of a new input based on the fitted line.

Course related:: LSGI3242A Digital Terrain Modelling
Subjects:: Computing and Mathematics and Statistics
Keywords:: Least squares Regression analysis
Resource Type:: Video

MOOC

Machine Learning and Computational Statistics

This course covers a wide variety of topics in machine learning and statistical modeling. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve the data science problems found in practice. This course also serves as a foundation on which more specialized courses and further independent study can build. This course was designed as part of the core curriculum for the Center for Data Science's Masters degree in Data Science. Other interested students who satisfy the prerequisites are welcome to take the class as well. Note that class is intended as a continuation of DS-GA-1001 Intro to Data Science, which covers some important, fundamental data science topics that may not be explicitly covered in this DS-GA class (e.g. data cleaning, cross-validation, and sampling bias).

Course related:: LGT6801 Guided Study in Logistics I
Subjects:: Computing and Mathematics and Statistics
Keywords:: Big data Data mining Machine learning Mathematical statistics -- Data processing
Resource Type:: MOOC

MOOC

Machine Learning Specialization

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

Course related:: AAE5103 Artificial Intelligence in Aviation Industry
Subjects:: Computing
Keywords:: Machine learning Artificial intelligence
Resource Type:: MOOC

Others

Machine Learning Foundations and Machine Learning Techniques MOOC

I am fortunate to be among the very first NTU EECS professors to offer two Mandarin-teaching MOOCs (massive open online courses) on NTU@Coursera. The two MOOCs are Machine Learning Foundations (Mathematical, Algorithmic) and Machine Learning Techniques and are based on the textbook Learning from Data: A Short Course that I co-authored. The book is consistently among the best sellers in Machine Learning on Amazon.
The slides of the MOOCs below are available as is with no explicit or implied warranties. The slides themselves are shared by CC-BY-NC 3.0, but the copyright of all materials (figures in particular) remain with the original copyright holder (in almost all cases the authors of the Learning from Data: A Short Course book).

Course related:: COMP4432 Machine Learning
Subjects:: Computing
Keywords:: Machine learning
Resource Type:: Others

Others

Machine Learning Explainability

Extract human-understandable insights from any machine learning model.

Subjects:: Computing
Keywords:: Python (Computer program language) Machine learning
Resource Type:: Others

MOOC

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Course related:: EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
Subjects:: Computing
Keywords:: Artificial intelligence Machine learning
Resource Type:: MOOC

e-book

Machine Learning

Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.

Course related:: COMP4432 Machine Learning
Subjects:: Computing
Keywords:: Machine learning
Resource Type:: e-book

Courseware

MAE 91: Introduction to Thermodynamics

This course introduces thermodynamic principles; open and closed systems representative of engineering problems; and first and second law of thermodynamics with applications to engineering systems and design. Topics include: thermodynamic concepts, thermodynamic properties, the first law of thermodynamics, first law analysis for a control volume, the second law of thermodynamics, entropy, and second law analysis for a control volume.

Subjects:: Aeronautical and Aviation Engineering and Mechanical Engineering
Keywords:: Thermodynamics
Resource Type:: Courseware

Courseware

Logistics and Supply Chain Management

This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

Subjects:: Logistics and Industrial and Systems Engineering
Keywords:: Industrial management
Resource Type:: Courseware

Presentation

Logic-based ad-hoc business process management: Concepts and challenges

This video was recorded at 7th Extended Semantic Web Conference (ESWC), Heraklion 2010. The mission of the Extended Semantic Web Conference (ESWC 2010) is to bring together researchers and practioners dealing with different aspects of semantics on the Web. ESWC2010 builds on the success of the former European Semantic Web Conference series, but seeks to extend its focus by engaging with other communities within and outside ICT, in which semantics can play an important role. At the same time, ESWC2010 is a truly international conference. Semantics of web content, enriched with domain theories (ontologies), data about web usage, natural language processing, etc. will enable a web that provides a qualitatively new level of functionality. It will weave together a large network of human knowledge and make this knowledge machine-processable. Various automated services, based on reasoning with metadata and ontologies, will help the users to achieve their goals by accessing and processing information in machine-understandable form. This network of knowledge systems will ultimately lead to truly intelligent systems, which will be employed for various complex decision-making tasks. Research about web semantics can benefit from ideas and cross-fertilization with many other areas: Artificial Intelligence, Natural Language Processing, Database and Information Systems, Information Retrieval, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science. ESWC2010 will present the latest results in research and applications in its field. The research program will be organised in targeted tracks. In addition, the conference will feature a tutorial program, system descriptions and demos, a posters track, a Ph.D. symposium and a number of collocated workshops. The calls for these events are separate and can be found on the conference Web site (http://www.eswc2010.org/).

Subjects:: Management and Computing
Keywords:: Industrial management Workflow -- Management
Resource Type:: Presentation

Courseware

Literacy in the Disciplines

This website has been developed as part of the UGC funded project, "Supporting and developing students’ English literacy practices in the disciplines” which is funded by the University Grants Committee’s Competitive Funding Scheme on Teaching and Learning for the 2012-2015 triennium. This inter-institutional literacy project aims to examine the provision of English literacy across three broad disciplines in Hong Kong tertiary institutes, namely Social Science, Science and Engineering in the participating institutions that include the Hong Kong Polytechnic University, City University of Hong Kong and the Hong Kong Baptist University. The website consists of a comprehensive support system to help provide a stimulating learning environment for students, content and language teachers. It also aims to help teachers become conversant with disciplinary genres and the linguistic and pedagogical resources suitable in a second language learning environment. The resources on this website will be open to and shared by all tertiary institutions in Hong Kong and beyond.

Subjects:: English Language
Keywords:: Academic writing Technical writing English language -- Study teaching
Resource Type:: Courseware

Others

Linux Tutorial

This Linux tutorial is divided into 13 sections. In general I recommend you work through them in order but if you've come here just to learn about a specific topic then feel free to just go straight to that one. You can now jump into section 1 and get started or keep reading below to learn a little more about this tutorial. 1.The Command Line - What is it, how does it work and how do I get to one. 2.Basic Navigation - An introduction to the Linux directory system and how to get around it. 3.More About Files - Find out some interesting characteristics of files and directories in a Linux environment. 4.Manual Pages - Learn how to make the most of the Linux commands you are learning. 5.File Manipulation - How to make, remove, rename, copy and move files and directories. 6.Vi Text Editor - Discover a powerful Linux based text editor. 7.Wildcards - Also referred to as globbing, this is a means to refer to several files in one go. 8.Permissions - Learn to identify and change the permissions of files and directories and what the consequences of these are. 9.Filters - An introduction to various commands that allow us to mangle data in interesting and useful ways. 10.Grep and Regular Expressions - Master a powerful pattern matching language that is useful for analysing and processing data. 11.Piping and Redirection - Join commands together in powerful combinations. 12.Process Management - See what is currently running on your Linux system and what state the system is in, learn how to kill programs that have hung and put jobs in the background. 13.Scripting - Be happy. Get the computer to do tedious and repetitive tasks for you. 14.Cheat Sheet - A quick reference for the main points covered in this tutorial.

Subjects:: Computing
Keywords:: Linux Operating systems (Computers)
Resource Type:: Others

Presentation

Linked Data at The New York Times: The First 161 Years

This video was recorded at 11th International Semantic Web Conference (ISWC), Boston 2012. The New York Times committment to Linked Data began over 160 years ago. Starting in 1851, The New York Times has always catalogued its archival articles using a controlled vocabulary of people, places, organizations and descriptors. In 2009 The New York Times started publishing this vocabulary as linked data using semantic web standards. In 2011 The Times announced the launch of several RESTful Semantic APIs. And in late 2012 and early 2013, The Times will migrate its entire process for vocabulary management to a system designed around the principles of Linked Data. In my remarks, I will survey the history of Semantic publishing at The New York Times, outline our semantic strategy, detail the business-case for linked data at The Times and provide an in-depth explanation of our new vocabulary management system.

Subjects:: Management and Computing
Keywords:: Linked data New York times
Resource Type:: Presentation

Presentation

Linked Data and APIs

This video was recorded at COIN / PlanetData Winter School on Knowledge Technologies for Complex Business Environments, Ljubljana 2011. Organized by COIN FP7 Integrated Project and PlanetData FP7 Network of Excellence, the school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability with innovative services and project large-scale data management in business environments. The main topics of the winter school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modelling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies.

Subjects:: Management and Computing
Keywords:: Linked data Application program interfaces (Computer software)
Resource Type:: Presentation

Video

Linear Programming

This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linear programming word problems. It discusses how to find all of the corner points including the point of intersection where you have to solve the system of linear inequalities. It discusses which region to shade and how to determine the maximum profit or sales produced by a company or business and how to determine the number of items that should be produced to maximize such profit or revenue. This video contains plenty of examples and practice problems on linear programming.

Course related:: LGT3102 Management Science
Subjects:: Computing
Keywords:: Linear programming
Resource Type:: Video

e-book

LibreTexts (Photosciences)

A multi-institutional collaborative venture to develop the next generation of open-access textbooks.

Keywords:: Solar energy
Resource Type:: e-book

Video

Lectures by Walter Lewin. They will make you ♥ Physics

This channel contains the complete 8.01x (Physics I: Classical Mechanics), 8.02x (Physics II: Electricity and Magnetism) and 8.03 (Physics III: Vibrations and Waves) lectures as presented by Walter Lewin in the fall of 1999, spring of 2002 and fall of 2004. The 8.01x and 8.02x edX lectures are high resolution (480p) versions of the more commonly seen OCW versions. Some edits were also made by Lewin. 8.03 is the OCW version, also in a 480p resolution. Links to lecture notes, assignments/solutions and exams/solutions are added. Playlists with Help Sessions for 8.01x, 8.02x and 8.03 are also available. They are "mini lectures". The problems discussed in these videos should be apparent after watching the first few minutes. Other playlists show Lewin in various appearances and his Bi-Weekly Physics problems/solutions and several excellent lectures by Feynman and others.

Subjects:: Physics and Electrical Engineering
Keywords:: Waves Vibration Magnetism Mechanics Electricity Physics
Resource Type:: Video

Video

Lecture 2 - Linear Regression and Gradient Descent | Stanford CS229: Machine Learning (Autumn 2018)

This video is take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program.

Course related:: AP619 Microfabrication Laboratory
Subjects:: Computing
Keywords:: Machine learning Computer algorithms
Resource Type:: Video

Courseware

Learning About Binary Search

In this card, we are going to help you understand the general concept of Binary Search.
Binary Search is one of the most fundamental and useful algorithms in Computer Science. It describes the process of searching for a specific value in an ordered collection.
Terminology used in Binary Search:
(1) Target - the value that you are searching for
(2) Index - the current location that you are searching
(3) Left, Right - the indicies from which we use to maintain our search Space
(4) Mid - the index that we use to apply a condition to determine if we should search left or right

Course related:: COMP3011 Design and Analysis of Algorithms
Subjects:: Computing
Keywords:: Computer algorithms
Resource Type:: Courseware

Video

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/

Course related:: AF3507 Company Law
Subjects:: Computing
Keywords:: Python (Computer program language)
Resource Type:: Video

Courseware

Leadership for Engineers

Many of today’s global challenges require tech-driven solutions — climate change, the growth of the world population, cyber security, the increasing demand for scarce resources, digitalization, the transition from fossil fuels to renewable energy. With this in mind, it is no surprise that one fourth of the CEOs of the world’s 100 largest corporations have an engineering degree. Solving these global problems requires leaders who, in the first place, are comfortable with technology, models and quantitative analyses — Leaders who see systems instead of isolated problems. However, simply understanding technology is not enough. Successful leaders today must have both the ideas and the know-how to put these ideas into action by working collaboratively with others, winning their hearts and minds. We need leaders who know how to seize opportunities in a networked world, and can mobilize people and other stakeholders for large-scale change. Leaders who lead fulfilling lives and who are able to move themselves and others from the ‘me’ to the ‘we’. Leaders who are long-term oriented and who deliver economic profit, while also making positive contributions to society and the environment. We call these leaders ‘sustainable leaders’. This course has three parts: - In the first part, you will explore the context that leaders are facing, building an understanding of the complexities of global and business challenges. You will discover the ambiguities and the many stakeholders that leaders must consider when making their choices. You will get a sense of effective leadership practices. - In the second part, you will discover your “who am I” through personal and group exercises. You will create a “Personal Charter” that can serve as a life-long guide, helping you, as a leader, to make important choices in your personal and professional life. - In the third part, we will bring the knowledge of the context and yourself together. We will translate the insights of this course into a leadership model and you will discover what sustainable leaders do. We will offer you frameworks to help you make your own career choices. We will finally help you to ‘sell’ yourself as a leader.

Subjects:: Management
Keywords:: Leadership Engineering -- Management Engineers
Resource Type:: Courseware

Video

Lamma Power Station Video: The Power behind Hong Kong

Electricity is generated at Lamma Power Station located at Po Lo Tsui of Lamma Island. The power station has a total installed capacity of 3,737MW made up of three 250MW coal-fired units, five 350MW coal-fired units, one 55MW gas turbines, four 125MW gas turbines, one 335MW combined cycle unit, one 345MW combined cycle unit, one 800kW wind turbine and one 1MW solar power system. Lamma Power Station provides a safe and reliable supply of electricity for more than 570,000 customers on Hong Kong Island and Lamma Island, and contributes to HK Electric’s world class reliability of more than 99.999%. Following the opening of Hong Kong's first wind power station, Lamma Winds, in 2006, an extension to the power station that burns the more environmentally friendly natural gas became operational the same year. In line with Government policy that aims to increase the use of gas, gas-fired generation has been increased to over 30% of the total output in 2010 when another gas-fired unit was put on use.

Course related:: EE2004 Electrical Energy Systems Fundamentals
Subjects:: Electrical Engineering
Keywords:: China -- Hong Kong Electric power-plants Electric power distribution
Resource Type:: Video

MOOC

Knowledge Management and Big Data in Business

Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era.

Subjects:: Business Information Technology, Management, Computing, and Industrial and Systems Engineering
Keywords:: Big data Knowledge management
Resource Type:: MOOC

Courseware

Khan Academy - Fluid

This online course covers the topic of density and pressure,buoyant force and archimedes' principle, and fluid dynamics.

Course related:: AAE3001 Fundamentals of Aerodynamics
Subjects:: Aeronautical and Aviation Engineering and Physics
Keywords:: Fluid dynamics
Resource Type:: Courseware

e-book

Key concepts of computer studies

"If you are looking for a quick study guide in Computer Studies, this book is an excellent resource. Skip the lengthy and distracting books and instead use this book to guide your studies, review your knowledge, or help with tutoring. This book quickly gets to the heart of each particular topic, helping students with a quick review before doing homework or preparing for a test."--BCcampus website.

Subjects:: Computing
Keywords:: Microcomputers Operating systems (Computers) Business -- Computer programs
Resource Type:: e-book

Others

Kaggle

Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

Subjects:: Computing
Keywords:: Machine learning Artificial intelligence Big data
Resource Type:: Others

e-journal

Journal of Annals of Bioengineering

The Journal of Annals of Bioengineering is a peer review open access journal which publishes original and substantial researches in all fields of engineering and science that explore biological problems. Specifically, the journal publishes papers on Biomechanics, Biomaterial, Rehabilitation engineering, Orthotics and prosthetics. Analytical and experimental original papers, surveys and book reviews may be submitted to the journal.

Subjects:: Bioengineering
Keywords:: Bioengineering
Resource Type:: e-journal

e-journal

Journal of Aircraft

This Journal is devoted to the advancement of the applied science and technology of airborne flight through the dissemination of original archival papers describing significant advances in aircraft, the operation of aircraft, and applications of aircraft technology to other fields. The Journal publishes qualified papers on aircraft systems, air transportation, air traffic management, and multidisciplinary design optimization of aircraft, flight mechanics, flight and ground testing, applied computational fluid dynamics, flight safety, weather and noise hazards, human factors, airport design, airline operations, application of computers to aircraft including artificial intelligence/expert systems, production methods, engineering economic analyses, affordability, reliability, maintainability, and logistics support, integration of propulsion and control systems into aircraft design and operations, aircraft aerodynamics (including unsteady aerodynamics), structural design/dynamics , aeroelasticity, and aeroacoustics.

Subjects:: Aeronautical and Aviation Engineering
Keywords:: Aeronautics
Resource Type:: e-journal

Video

Jet Engines for Commercial Aircraft

An online lecture on the topic of "Jet Engines for Commercial Aircraft".This lecture is suitable for secondary school and university students as well as the general public.

Subjects:: Industrial and Systems Engineering and Aeronautical and Aviation Engineering
Keywords:: Jet engines
Resource Type:: Video

Video

Jet Engine, How it works ?

The working of a jet engine is explained in this video in a logical and illustrative manner with help of animation. This video takes the viewer through 1-spool engine, 2-spool engine, turbo jet engine and turbofan engine.

Course related:: AAE3003 Aircraft Propulsion Systems
Subjects:: Aeronautical and Aviation Engineering
Keywords:: Airplanes -- Jet propulsion Aircraft gas-turbines Airplanes -- Turbojet engines
Resource Type:: Video

Others

JavaTpoint - Computer Network Tutorial

Computer Network tutorial provides basic and advanced concepts of Data Communication & Networks (DCN). Our Computer Networking Tutorial is designed for beginners and professionals. Our Computer Network tutorial includes all topics of Computer Network such as introduction, features, types of computer network, architecture, hardware, software, internet, intranet, website, LAN, WAN, etc.

Course related:: COMP2322 Computer Networking
Subjects:: Computing
Keywords:: Computer networks
Resource Type:: Others

e-book

Java, Java, Java: Object-Oriented Problem Solving

We have designed this third edition of Java, Java, Java to be suitable for a typical Introduction to Computer Science (CS1) course or for a slightly more advanced Java as a Second Language course. This edition retains the “objects first” approach to programming and problem solving that was characteristic of the first two editions. Throughout the text we emphasize careful coverage of Java language features, introductory programming concepts, and object-oriented design principles. The third edition retains many of the features of the first two editions, including: Early Introduction of Objects Emphasis on Object Oriented Design (OOD) Unified Modeling Language (UML) Diagrams Self-study Exercises with Answers Programming, Debugging, and Design Tips. From the Java Library Sections Object-Oriented Design Sections End-of-Chapter Exercises Companion Web Site, with Power Points and other Resources The In the Laboratory sections from the first two editions have been moved onto the book's Companion Web Site. Table 1 shows the Table of Contents for the third edition.

Subjects:: Computing
Keywords:: Java (Computer program language) Computer programming Programming languages (Electronic computers) Textbooks
Resource Type:: e-book

e-book

Java with BlueJ Part 2

This book is Part II of a two-part set that introduces the Java programming language. The text assumes the student will be using the BlueJ development environment and provides some introductory BlueJ material. Our experience has been that BlueJ is easy to learn and provides a good programming environment for the beginner programmer.

Subjects:: Computing
Keywords:: Java (Computer program language) Computer programming Programming languages (Electronic computers) Textbooks
Resource Type:: e-book

e-book

Java with BlueJ

This book is Part I of a two-part set that introduces the Java programming language. The text assumes the student will be using the BlueJ development environment and provides some introductory BlueJ material. Our experience has been that BlueJ is easy to learn and provides a good programming environment for the beginner programmer.

Subjects:: Computing
Keywords:: Java (Computer program language) Computer programming Programming languages (Electronic computers) Textbooks
Resource Type:: e-book

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