[SOLVED] The Impact of Machine Learning in Construction

Background:The Construction 2025 Industrial Strategy has set a vision for the UK construction to be technologically advanced and efficient . A reduction of 50% in the time to complete projects and 33% in initial construction costs are targets set up by the government to ensure Britain has a competitive edge. These targets are to be achieved by the construction sector by taking advantage of new technology global trends. Machine learning (ML) is a technology already impacting the global economy and has the potential to transform the construction industry with the use of data-based solutions to improve the way projects are delivered by (1) better managing its workforce and (2) increasing construction productivity.Question:a)    What can you draw from the academic and industry literature that offers ways of affecting change in construction with the use of ML on (2) of the above goals?b)    From this review, what would you recommend is done at the construction firm to improve (1) of the above goals? Consider the geographic focus and limits of your answer (your recommendations only apply to UK)c)    Provide reflective conclusions on the key learning you have obtained from answering this brief and identify no more than three recommendations for scholars to research and practitioners to consider implementing. Requirement:Reference: 30 reference required(I have uploaded 20). You should use Harvard referencing and base your reasoning on peer-reviewed literature in academic journals and books primarily based on such literature. Where you are required to use real world examples you may refer to trade literature and newspaper articles.Analysis: Logical and appropriate analytical structure used to develop a coherent and to some degree original/independent argument. Argument grounded in observations of specific industry conditions. In addition, the paper shows ability to understand and solve problems, and work with and connect both theoretical and empirical content.Conclusion: the last part of the essay will be for you to reflect on the major learning that has been achieved in the way.

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[SOLVED] Construction Risk Management

Each student must work on a term paper in this course. Term papers should be technical in nature, appropriate for an audience knowledgeable in construction management. The length of the term paper should be about 5000 words (15 pages single column, single line spacing 12pt font, with 1- inch margins).The final term paper should have a title page (5 points) that includes:• the title of the paper• name, email address, and student ID• course name, number, and instructor’s name• an abstract of about 300 words that summarizes (1) the motivation for the work and (2) the contributions made• three to five keywordsThe main content of the paper should at least include the following:(1) Introduction (15 points)• Discuss the background and motivation of your work.•Summarize the research problem• Summarize the proposed approach to the problem and the results(2) Related work (15 points)• Discuss research related to yours and make comparison ifthere are closely related work.(3) Your approach (20 points)• Describe your approach in detail. You may present your result in any way you want as longas you believe it’s convincing and clear. (4) Validation of your approach (20 points)• Prove or demonstrate the effectiveness and/or efficiency of your approach. You may do this through theorems, experiments, etc.(5) Conclusions and possible future work (15 points)• Summarize the conclusions of your work. Future work is optional.(6) References (10 points)• List all the citations referenced in your paper. You will lose 5 points for each danglingreference (i.e., the reference not cited in the main text). Bonus points (20 points)The instructor may give up to 20 points extra credit to well-presented papers with original contribution.

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[SOLUTION] The Impact of Machine Learning in Construction

Background:The Construction 2025 Industrial Strategy has set a vision for the UK construction to be technologically advanced and efficient . A reduction of 50% in the time to complete projects and 33% in initial construction costs are targets set up by the government to ensure Britain has a competitive edge. These targets are to be achieved by the construction sector by taking advantage of new technology global trends. Machine learning (ML) is a technology already impacting the global economy and has the potential to transform the construction industry with the use of data-based solutions to improve the way projects are delivered by (1) better managing its workforce and (2) increasing construction productivity.Question:a)    What can you draw from the academic and industry literature that offers ways of affecting change in construction with the use of ML on (2) of the above goals?b)    From this review, what would you recommend is done at the construction firm to improve (1) of the above goals? Consider the geographic focus and limits of your answer (your recommendations only apply to UK)c)    Provide reflective conclusions on the key learning you have obtained from answering this brief and identify no more than three recommendations for scholars to research and practitioners to consider implementing. Requirement:Reference: 30 reference required(I have uploaded 20). You should use Harvard referencing and base your reasoning on peer-reviewed literature in academic journals and books primarily based on such literature. Where you are required to use real world examples you may refer to trade literature and newspaper articles.Analysis: Logical and appropriate analytical structure used to develop a coherent and to some degree original/independent argument. Argument grounded in observations of specific industry conditions. In addition, the paper shows ability to understand and solve problems, and work with and connect both theoretical and empirical content.Conclusion: the last part of the essay will be for you to reflect on the major learning that has been achieved in the way.

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[SOLUTION] Construction Risk Management

Each student must work on a term paper in this course. Term papers should be technical in nature, appropriate for an audience knowledgeable in construction management. The length of the term paper should be about 5000 words (15 pages single column, single line spacing 12pt font, with 1- inch margins).The final term paper should have a title page (5 points) that includes:• the title of the paper• name, email address, and student ID• course name, number, and instructor’s name• an abstract of about 300 words that summarizes (1) the motivation for the work and (2) the contributions made• three to five keywordsThe main content of the paper should at least include the following:(1) Introduction (15 points)• Discuss the background and motivation of your work.•Summarize the research problem• Summarize the proposed approach to the problem and the results(2) Related work (15 points)• Discuss research related to yours and make comparison ifthere are closely related work.(3) Your approach (20 points)• Describe your approach in detail. You may present your result in any way you want as longas you believe it’s convincing and clear. (4) Validation of your approach (20 points)• Prove or demonstrate the effectiveness and/or efficiency of your approach. You may do this through theorems, experiments, etc.(5) Conclusions and possible future work (15 points)• Summarize the conclusions of your work. Future work is optional.(6) References (10 points)• List all the citations referenced in your paper. You will lose 5 points for each danglingreference (i.e., the reference not cited in the main text). Bonus points (20 points)The instructor may give up to 20 points extra credit to well-presented papers with original contribution.

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