PhD Construction Management

The PhD program in Construction Management allows for the skill development of the applications in architectural engineering, construction management. By making use of the diverse concepts, Victor provides for learning opportunities to candidates for grasping the technology utilized in the same domain in the past times and in the current environment.

The field of construction management is quite a versatile and interesting field of architectural engineering that allows for betterment of skill development of professionals enrolled in this program. This is the reason why it is most suitable for professionals who are already working in the same field and are looking to pursue advanced positions.

 

What will you learn from this course

Through this PhD program you will be able to do the following

  • You will work on research based project.
  • You will able to apply engineering principles within and outside the classroom
  • Develop skill set relevant to employers need
  • Students are able to take leadership roles and move up the career ladder more quickly
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Information Research Strategies 2 Introduction to information research including electronic resources. This course is designed to help researchers locate, evaluate, and use information. It includes exploration of the research process, search strategies, locating resources, source documentation, and organization of research.
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Statistical Modeling and Analysis for Complex Data Problems 2 reviews some of today’s more complex problems, and reflects some of the important research directions in the field. work in areas of theoretical statistics, applied statistics, probability theory, and shastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Optimal Experimental Design 2 Introduces the philosophy of experimental design, provides an easy process for constructing experimental designs, calculating necessary sample size using R programs and teaches by example using a custom made R program package: OPDOE introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.
Mathematical Modeling 2 complete range of basic modeling techniques: it provides a consistent transition from simple algebraic analysis methods to simulation methods used for research. Such an overview of the spectrum of modeling techniques is very helpful for the understanding of how a research problem considered can be appropriately addressed.
Research Methods and Design 2 Learners gain a thorough understanding of statistical tests appropriate to their dissertation topic and design, how to interpret the results of the tests and how to conduct follow-up analyses, as appropriate. This course includes guidelines and "best practices" for collecting data. Power analysis, what it is, why do it, and how to use available software is covered. Data preparation, use of software to analyze data, and understanding the calculated results are covered. Experience with computer-based statistical analysis techniques is stressed. Emphasizes what is applicable to the Learner’s proposed research questions, design, construct/variable definitions and properties of measurements. Satisfactory/Unsatisfactory grade only.
Dissertation Planning, Writing, and Defending 2 step-by-step through the dissertation process, with checklists, illustrations, sample forms, and updated coverage of ethics, technology, and the literature review.
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Pavement Management Systems 2 Principles of pavement management, including inventory, condition assessment, needs determination, and budget analysis. Emphasis on field condition assessment techniques. Presents database design to illustrate data handling techniques and introduces several software packages.
Decision-Making in Complex Dynamic Systems 2 Introduces students to the theory and application of modeling techniques and simulations in the analysis of decision alternatives in complex engineering problems. Topics include queuing theory, system dynamics modeling, agent-based modeling, discrete event simulations, etc. Students will be required to conceptualize and implement an appropriate research/engineering problem of choice (this could be a dissertation/thesis problem).
Introduction to System identification 2 Introductory course in system identification theory, emphasis on fitting classical and modern control-theory models to collected data using least squares and ERA. Preliminary topics include sampling theory and frequency domain math.
Stability of Earth Structures 2 Investigates the stability of both natural and anthropogenic derived structures. Studies include the application of engineering geology to slope issues, slope stability analysis procedures, computational methods. Also covers the design and analysis of soil nail walls.
Engineering with Developing Communities 2 Study of applying appropriate, community-based, and sustainable engineering in developing communities. Concepts of human-centered design and sustainable development are covered. Topics are drawn from several areas of engineering, including water and wastewater treatment, construction materials, solid waste, energy, and information systems.
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Project Management 3 Focuses on project definition, selection, planning, scheduling, implementation, performance monitoring, evaluation and control. Emphasis will be on product, service and process development and emerging concepts related to development on the internet. Some advanced concepts in resource constraint management and design matrix are included.
Operations Management 3 Application and case studies are used to address issues in operations management, quality, research and development, capacity planning, budgeting, marketing, supply chain, and technology to provide an interdisciplinary, quantitative focus on decision making and strategic planning for operations.
Construction Equipment and Methods 3 Establishes a full ability to understand and solve problems, communicate solutions, and manage their implementation. This subject helps build these skills through: a holistic view of construction technology, safe use to maximize productivity and how the principles of science are being applied; linking the material in this course to previously obtained knowledge such as statics, geotechnical engineering; and pedagogy designed to promote knowledge, and skill acquisition, such as case studies and open-ended problems.
Accounting Fundamentals for Construction 3 Covers how to organize and use a company's financial reports, what amount of cash must be made available to the contractor to complete a project, why the early payment of supplier invoices can enhance profitability, how to quantify the time value of money in financial decisions, what tax amount is owed by a company and how it impacts the bottom line, how to control project costs and what financial sources are available to a construction contractor for capital expansion
Construction Cost Estimating 3 Focuses on how to generate complete, accurate estimates for labor and material costs, guides learners through the entire estimating process, explaining in detail how to put together a reliable estimate that can be used for developing a schedule, managing a project, dealing with contingencies, and ultimately making a profit. Includes interpreting plans and specifications, computer estimating techniques, parameter estimating, allocate profit amounts, unit price estimation, labor issues and budgeting.
Construction Project Scheduling and Control 3 Covers adjusting staff requirements at various stages, overseeing materials deliveries and equipment needs, organizing inspections, and estimating time needs for curing and settling—all of which requires a deep understanding on the part of the scheduler through an up-to-date coverage detailing all the steps needed to devise a technologically advanced schedule geared toward streamlining the construction process.
Legal Environment for Engineers and Architects 3 Basic principles of the law and court systems in both the United States and globally, Basic principles of contracts, Relationships of individuals and society focusing upon such areas as agency, partnerships, corporations, insurance and governmental regulations, Basic principles of tort law including concepts of negligence and product liability, Basic principles of property ranging from real property to intellectual property, Impact to the daily practice of a design professional involved in a construction project and The role of the design professional in litigation.
Construction Project Administration 3 explains the basics of administering a design-build project after the contract has been awarded. As with Preparing for Design-Build Projects—about design-build projects during the proposal stage—by the same three broadly experienced authors, this book breaks the process into a series of learning modules that explain the component steps. It begins with an introduction to design-build project administration and goes on to cover topics such as scheduling, design administration, and design quality management.
Computer Applications in Construction 3 Focuses on utilizing information technology in construction projects and archetectural back-office, including an overview of applied engineering, administrative and financial applications as well as information technology based quality management methods.
Project Delivery Systems for Construction 3 Traditional and alternative project delivery systems, including Design-Bid-Build, Design-Build, Construction Management At-Risk, and Integrated Project Delivery. Covers management approaches, procurement options, basis of reimbursement, roles and responsibilities, Building Information Modeling, lean construction, and sustainability are also discussed relative to these delivery systems.
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Concept Paper 2 Ethical issues in research are studied and the Learner evaluates the research plan developed in modules RSH8951-RSH8953 against accepted ethical principles and practices in the field. The material developed in the modules is integrated into a summarizing document called the Dissertation Research Proposal. The proposal is comprised of Chapter I (Introduction), Chapter II (Literature Review), and Chapter III (Methodology). The Learner develops the Dissertation Research Proposal under the supervision of the faculty mentor, with a focus on the conceptual and methodological clarity of the research plan for the Learner’s dissertation topic. Once acceptable to the Learner and the faculty mentor, the draft of the Research Proposal is reviewed by the Learner’s Dissertation Committee and the University’s Ethics Committee. Satisfactory/Unsatisfactory grade only.
Doctoral Comprehensive Examination 2 Assures that the Learner has mastered knowledge of his or her discipline, specialization, and can demonstrate applications of that knowledge before formal candidacy status is granted and research in support of the dissertation is initiated. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research l 2 Continuation of RSH8954-P. The draft of the Dissertation Research Proposal is finalized and approved by the Learner’s Dissertation Committee and the University’s Ethics Committee. All steps necessary to begin data collection, including any necessary pilot testing, are completed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research ll 2 Dissertation data are collected and analyzed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research lll 2 the dissertation process is completed. The manuscript is prepared, accepted by the Learner’s Dissertation Committee, and the oral defense is conducted. Candidates for the Ph.D. must maintain continuous enrollment.