aut aut      aut aut
   
Maryam Ashrafi
  Courses 

 Engineering Statistics(FALL_2017)

Aims:

Understand the key principles of statistics; Interpret and evaluate the kinds of data found in everyday life; Perform and interpret results from simple statistical estimation and analyses.

Syllabus:

  • introducing the course objectives and method;Descriptive statistics: common techniques for presenting and summarizing data
  • Descriptive statistics (2): common techniques for presenting and summarising data
  • Patterns in Data- Regression (1)
  • Patterns in Data- Regression (2)
  • Collecting Data (1)
  • Collecting Data (2)
  • Estimation
  • Point Estimation
  • Interval Estimation (1)
  • Interval Estimation (2)
  • Statistical Testing (1)
  • Statistical Testing (2)
  • Analysis of variance (1)
  • Analysis of variance
  • Conclusion
  • Pls check course outline on LMS

Text Book:

  • Hogg, RV & Tanis, Probability and Statistical Inference, 8th Ed., Prentice-Hall, 2010.


 Project Risk Management and Analysis(FALL_2017)

Aims:

Understanding the concepts and principles of risk, project risk and risk management; Introducing project risk identification methods and their application; Introducing project risk analysis methods and their application; Introducing project risk treatment and controlling methods.

Syllabus:

  • ? Introduction of lessons and goals? Understanding concepts: uncertainties, risk sources, risk and project risk, project risk factors
  • ? Risk and decision analysis? Decision making tools
  • ? Project risk management and its processes? Project Risk Management Standards? Project risk management planning
  • Project risk Identificationrisk breakdown structurerisk identification techniques
  • Qualitative analysis of project risk and its techniques
  • ? Quantitative analysis of project risk and its techniques
  • Planning risk response
  • Risk and contract types
  • Risk controlling
  • ? Introduction of some risk assessment techniques

Text Book:

  • ? Identifying and Managing Project Risk (2009), Tom Kendrick, American Management Association; USA.? Risk Management for Project Managers: Concepts and Practices, (2014), ASME, 2 Park Avenue, New York, NY 10016, USA.? Project Management Institute (2009), Project Risk Management Practice Standard, Second Edition, Project Management Institute, Inc. USA.? Project Management Institute (2013), A Guide to the Project Management Body of Knowledge (PMBOK® Guide) —Fifth Edition, Project Management


 Engineering Statistics(SPRING_2017)

Aims:

Understand the key principles of statistics; Interpret and evaluate the kinds of data found in everyday life; Perform and interpret results from simple statistical estimation and analyses.

Syllabus:

  • introducing the course objectives and method;Descriptive statistics: common techniques for presenting and summarizing data
  • Descriptive statistics (2): common techniques for presenting and summarising data
  • Patterns in Data- Regression (1)
  • Patterns in Data- Regression (2)
  • Collecting Data (1)
  • Collecting Data (2)
  • Estimation
  • Point Estimation
  • Interval Estimation (1)
  • Interval Estimation (2)
  • Statistical Testing (1)
  • Statistical Testing (2)
  • Analysis of variance (1)
  • Analysis of variance (2)
  • Conclusion
  • Pls check course outline on LMs

Text Book:

  • Hogg, RV & Tanis, Probability and Statistical Inference, 8th Ed., Prentice-Hall, 2010.


 Evaluation, Forecasting & Transfer of Technology(SPRING_2017)

Aims:

Introduction and application of all technology management process including technology identification, assessment, selection and acquisition

Syllabus:

  • Course Introduction, objectives and teaching methods;
  • Technology Identification
  • Technology Assessment (1)
  • Technology Assessment (2)
  • Technology Assessment (3)
  • Technology Audit
  • Technology Future Study (1)
  • Technology Future Study (2)
  • Technology Future Study (3)
  • Technology Acquisition (1):
  • Technology Acquisition (2):
  • Technology Acquisition (3):
  • Technology Strategy (1)
  • Technology Strategy (2)
  • Presentation of projects results
  • Conclusion

Text Book:

  • Dilek Cetindamar and Rob Phaal, (2015) Technology Management: Activities and Tools, Macmillan. Khalil T. M. (2000), Management of Technology: The Key to Competitiveness and Wealth Creation, McGraw Hill. Chiesa V., (2001), R&D Strategy & Organization, Imperial College Press. United Nations, Industrial Development Organization, (2005),UNIDO Technology Foresight Manual, Volume 1,2.


 Project Risk Management and Analysis(SPRING_2017)

Aims:

1-Understanding the concepts and principles of risk, project risk and risk management; 2- Methods of risk identification;3- Introduction of project risk analysis methods and their application; 4- methods of monitoring and responding to project risk

Syllabus:

  • Introducing the course and obkectivesConcepts: uncertainty, risk resources, risk and project risk, project risk factors
  • Project risk management processesProject risk management standards
  • Project risk planningRisk identification and risk breakdown structure, project identification techniques (1)
  • Risk identification and risk breakdown structure, project identification techniques (?)
  • Qualitative risk analysis and its techniques(1)
  • Qualitative risk analysis and its techniques(2)
  • Reporting the progress of projectsQuantitative risk analysis and its techniques (1)
  • Quantitative risk analysis and its techniques (2)
  • Quantitative risk analysis and its techniques (3)
  • Quantitative risk analysis and its techniques (4)
  • Reporting the progress of projects
  • Risk reaction process
  • Risk control process
  • Lesson Learned
  • some project risk analysis software
  • Conclusion

Text Book:

  • Project Management Institute (2009), Project Risk Management Practice Standard, Second Edition, Project Management Institute, Inc. USA.Loosemore, M. Raftery, J. Reilly, C. Higgon, D. (2006), Risk Management in Projects —Second Edition, Taylor & Francis, NY


 Stochastic Processes(SPRING_2017)

Aims:

1-Understanding random processes types and their specifications; 2-Using and modeling random processes to predict and analyze phenomena

Syllabus:

  • Understanding the concepts and objectives;Reviewing probability and related theorems, discrete and continuous random variables and distributions.
  • Random processesTheorems and properties
  • Poisson process (1)
  • Poisson process (2)
  • Poisson process (3)
  • Poisson process (4)
  • Wiener Process (1)
  • Wiener Process (2)
  • Wiener Process (3)
  • Discrete Markov chain (1)
  • Discrete Markov chain (2)
  • Discrete Markov chain (3)
  • Continuous Markov Chain (1)
  • Continuous Markov Chain (2)
  • Continuous Markov Chain (3)
  • Conclusion

Text Book:

  • Ross, Sheldon, (2010) Introduction to Probability Models, Elsevier, Tenth Edition.
  • Ross, Sheldon, (1970) Applied Probability Models with Optimization Applications, Dover Publications, INC., New York.


 Engineering Statistics(FALL_2016)

Aims:

Introduction to Random variables, Probability distribution function, Statistical hypothesis testing and ...

Syllabus:

    Text Book:




     Engineering Statistics and Probability(FALL_2016)

    Aims:

    Syllabus:

      Text Book:




       Stochastic Processes(FALL_2016)

      Aims:

      Syllabus:

        Text Book:




         Technology Transfer Agreements and Intellectual Property Rights(FALL_2016)

        Aims:

        Syllabus:

          Text Book:




           Engineering Statistics and Probability(SPRING_2016)

          Aims:

          Syllabus:

            Text Book:




             Evaluation, Forecasting & Transfer of Technology(SPRING_2016)

            Aims:

            Technology Assessment (Technology Forecasting, Evaluation of Technology Impact on the Firm’s Competitiveness, …) ? Technology Planning (Elaboration of Technology Strategy) ? Acquisition & Exploitation of Technology

            Syllabus:

            • Course Overview and Objectives
            • Technology Identification
            • Technology Assessment
            • Technology Audit
            • technology Forecasting
            • Technology Foresight
            • Technology Transfer
            • Technology Strategy

            Text Book:

            • Khalil T. M. (2000), Management of Technology: The Key to Competitiveness and Wealth Creation, McGraw Hill.
            • Chiesa V., (2001), R&D Strategy & Organization, Imperial College Press.


             Project Management Teaching Assistant(SPRING_2016)

            Aims:

            Syllabus:

              Text Book:




               
               
              © AUT All rights reserved.
              AUT is not responsible for the content of external sites.
               
              424 Hafez Ave, Tehran, Iran, 15875-4413. +98 (21) 64540