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MOOC
Building construction is one of the most waste producing sectors. In the European Union, construction alone accounts for approximately 30% of the raw material input. In addition, the different life-cycle stages of buildings, from construction to end-of-life, cause a significant environmental impact related to energy consumption, waste generation and direct and indirect greenhouse gas emissions. The Circular Economy model offers guidelines and principles for promoting more sustainable building construction and reducing the impact on our environment. If you are interested in taking your first steps in transitioning to a more sustainable manner of construction, then this course is for you! In this course you will become familiar with circularity as a systemic, multi-disciplinary approach, concerned with the different scale, from material to product, building, city, and region. Some aspects of circularity that will be included in this course are maximizing reuse and recycle levels by closing the material loops. You will also learn how the Circular Economy can help to realign business incentives in supply chains, and how consumers can be engaged and contribute to the transition through new business models enabling circular design, reuse, repair, remanufacturing and recycling of building components. In addition, you will learn how architecture and urban design can be adapted according to the principles of the Circular Economy and ensure that construction is more sustainable. You will also learn from case studies how companies already profitably incorporate this new theory into the design, construction and operation of the built environment.
- Subjects:
- Building and Real Estate
- Keywords:
- Construction industry -- Environmental aspects Building materials -- Recycling Sustainable construction
- Resource Type:
- MOOC
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MOOC
This Specialization is aimed at preparing students for undergraduate study in an English-speaking university. The course equips you for full participation and engagement with your studies by building awareness and understanding of the core values and expectations of academic culture, and providing you with practical strategies to apply to your studies. In this course, you will learn how to develop your Communication Skills to help you achieve success in your university studies. After completing this course, you will be able to:
1. Recognise the importance of communication in communities of practice at university
2. Understand contexts of communication at university and associated expectations
3. Communicate clearly across a variety of different contexts and to a wide range of audiences by adapting communicative styles appropriately
4. Demonstrate, negotiate, and further understanding through spoken, written, visual, and conversational modes
5. Effectively formulate arguments and communicate research findings through the process of researching, composing, and editing
6. Confidently engage in constructive and critical dialogue with respect and professionalism
- Keywords:
- Communication Interpersonal communication
- Resource Type:
- MOOC
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MOOC
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. We'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
- Course related:
- COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Python (Computer program language)
- Resource Type:
- MOOC
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MOOC
This course provides the tools needed to build a low-carbon power sector around the world. By diving into the perspective of different players in the power sector - from investors through to utilities, regulators and project developers - you will be able to choose the right strategies, policies and other levers needed to incentivise a cleaner power mix in your own context. This course explores the mix of approaches that can create a pro-renewables environment. It explores this from a policy, regulatory and supply-chain perspective and examines the incentives and rules available. Key policies are brought to life through case studies, learning from both success and failure. Key messages of the course include: - Ambitions for renewable electricity must be grounded in technical and financial feasibility - Pro-renewables environments recognise the needs of energy supply chain actors (e.g. project developers, utilities, regulators, electricity customers) and balances pricing, fiscal and financial and wider policies to incentivise and drive deployment - There are multiple ways to encourage deployment of renewables across different scales – these have strengths and weaknesses and must balance rate of deployment, affordability and efficiency of generation - Incentives and rules are a package and can be aligned to deliver affordable, efficient renewable electricity - several real-world examples demonstrate this - Different countries have succeeded and failed in creating pro-renewables environments – demonstrating that while lessons can be used from these experiences, there is no single route to success and the environment must be bespoke to the circumstances of the country. This course should help decision makers across the electricity supply chain, in both the public and private sector, understand what mix of incentives is ideal from their perspective.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Environmental Policy and Planning
- Keywords:
- Electric power distribution -- Environmental aspects Renewable energy sources
- Resource Type:
- MOOC
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MOOC
This course deals directly with your ability for creativity which is a critical skill in any field. It focuses on divergent thinking, the ability to develop multiple ideas and concepts to solve problems. Through a series of creativity building exercises, short lectures, and readings, learners develop both an understanding of creativity and increase their own ability.
This course will help you understand the role of creativity and innovation in your own work and in other disciplines. It will challenge you to move outside of your existing comfort zone and to recognize the value of that exploration. This course will help you understand the importance of diverse ideas, and to convey that understanding to others.
The principal learning activity in the course is a series of "differents" where you are challenged to identify and change your own cultural, habitual, and normal patterns of behavior. Beginning with a prompt, e.g. "eat something different", you will begin to recognize your own = limits and to overcome them. In addition, you are encouraged to understand that creativity is based on societal norms, and that by it's nature, it will differ from and be discouraged by society. In this course, the persistence of the creative person is developed through practice. At the same time, these exercises are constrained by concerns of safety, legality, and economics, which are addressed in their creative process.
- Keywords:
- Creative thinking Change Problem solving Critical thinking
- Resource Type:
- MOOC
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MOOC
In today's business environment, organizations have identified critical thinking and problem-solving as skills that are integral to an employee's--and their organization's--success.
The most successful professionals can assess the environment, analyze a situation, design a solution, and ultimately win in a competitive scenario.
This course, part of the Leadership Essentials Professional Certificate program, will demystify, discuss, and provide application techniques for critical thinking and problem-solving in a business context. Learners will draw connections to their work experience by analyzing and critiquing case studies. Best practices for problem-solving will be discussed and illustrated including how to weigh alternative solutions, incorporate feedback from stakeholders, and how and when to start over.
- Keywords:
- Management Problem solving Critical thinking Decision making
- Resource Type:
- MOOC
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MOOC
This data analytics course takes an interdisciplinary approach to demonstrate the data analytics process in the context of accounting and finance. The growing volume of both structured and unstructured data has pushed forward a more data-driven form of decision-making in accounting and finance. In order to keep up with the Big Data era advancements, accountants and finance professionals need to have a data analyst mindset to excel in their jobs. This course will illustrate different concepts of accounting and finance with the application of data analytics. It will not only help the learners to develop their skills to ask the right questions but also teach them how to master the data and use different tools like Excel and Tableau to analyze the data. In the end, the learners will be able to interpret the results and make their decisions effectively.
This course will use a simple framework that helps the learners to develop an analytical mindset. This framework (QDAR) has four major components:
1. Ask the right Q uestions to address an issue in accounting or finance contexts.
2. Understand the different data types and how to retrieve and clean D ata.
3. Conduct different data A nalyses to answer the questions
4. Communicate the R esults to the decision-makers using graphs, visualizations and reports.
The whole course will cover different aspects of the framework in conjunction with different types of analyses. There will be additional datasets for the verified learners through which they can practice what they have learned during the course.
- Subjects:
- Accounting and Finance
- Keywords:
- Accounting -- Data processing Finance -- Data processing
- Resource Type:
- MOOC
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MOOC
reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys).
- Course related:
- HTM3205 Analysing and Interpreting Research
- Subjects:
- Statistics and Research Methods
- Keywords:
- Quantitative research Social sciences -- Research -- Methodology Qualitative research
- Resource Type:
- MOOC
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MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing
- Keywords:
- Machine learning Data mining Big data
- Resource Type:
- MOOC
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC