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COURSE PRO FORMA



             Academy/Faculty/Institute/Centre      Faculty of Engineering

             Department                            Department of Civil Engineering

             Programme                             Bachelor of Engineering (Civil)/ Bachelor of Engineering (Environmental)



             Course Code*                          KAEA4364

             Course Title*                         Quantitative Techniques in Construction Management
             Course Pre-requisite(s)/ Minimum      None
             Requirement(s)


             Student Learning Time (SLT)*          81 hours

             Credit*                               2

             Course Learning Outcomes*             On completion of the course, students are able to:

                                                   1.  Apply the simulation method and the Monte Carlo simulation technique
                                                       to solve engineering problems.
                                                   2.  Use  the  computer  for  carrying  out  simulation  work  with  the  Visual
                                                       Basic programming language
                                                   3.  Apply  the  principles  of  the  stock  control  system,  bidding  theory  and
                                                       decision theory.
                                                   4.  Apply  the  the  Linear  programming  methods  especially  to
                                                       transportation and assignment problems
                                                   5.  Apply  the  Dynamic  programming  method  to  solve  engineering
                                                       problems.
             Transferable Skills                   Analytical, data management and problem solving skills



             Synopsis of Course Contents            Introduction  to  system  approach  to  problem-solving  using  both  the
                                                    stochastic  and  deterministic  techniques.  The  simulation  method, Monte
                                                    Carlo  simulation  technique,  dynamic  and  static  models,  using  computer
                                                    for simulation with the Visual Basic programming language. Stock control
                                                    system and bidding theory. Decision theory – maximin, minimax, Bayes’
                                                    concept, decision tree, utility concept and expected value.
                                                    Linear  programming  –  the  transportation  problem  and  assignment
                                                    problem.  Network  analysis  –  graph  theory,  minimum  cost  route  and
                                                    network  capacity  problem.  Dynamic  programming  –  optimality  term and
                                                    principal, problem examples and pipe network solution. Worked examples
                                                    in civil engineering.
             Learning Strategies (lecture, tutorial,   Lectures, tutorials.
             workshop, discussion, etc)


             Assessment Weightage*                 Examination : 70%
                                                   continuous Assessment : 30%
             Methodologies for Feedback on         Marks  for  continuous  assessment  will  be  given  before  the  final  exam.
             Performance                           Grades will be given for the final examination

             Criteria in Summative Assessment      Refer to University of Malaya (First Degree Studies) Rules 2013 and
                                                   University of Malaya (First Degree Studies) Regulations 2013.
             UM-PT01-PK03-BR003(BI)-S04            .
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