


Maryam Ashrafi


Courses

Project Risk Management and Analysis(SPRING_2017)
Aims:
1Understanding 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:
1Understanding random processes types and their specifications; 2Using 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:
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Engineering Statistics and Probability(FALL_2016)
Aims:
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Stochastic Processes(FALL_2016)
Aims:
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Technology Transfer Agreements and Intellectual Property Rights(FALL_2016)
Aims:
Syllabus:
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Engineering Statistics and Probability(SPRING_2016)
Aims:
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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:
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Operations Management Teaching Assistant(FALL_2015)
Aims:
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Evaluation, Forecasting & Transfer of Technology(Khalil T. M. (2000), Management of Technology: The Key to Competitiveness and Wealth Creation, McGraw Hill.)
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.

Engineering Statistics(* Hogg, RV & Tanis, Probability and Statistical Inference, 8th Ed., PrenticeHall, 2010.)
Aims:
" Understand the key principles of statistics;
Syllabus:
Interpret and evaluate the kinds of data found in everyday life; Perform and interpret results from simple statistical estimation and analyses. "
Text Book:
 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












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