Page 204 -
P. 204

COURSE PRO FORMA



             IMPORTANT:
             Contents of this Pro Forma shall not be changed without the Senate’s approval for items indicated with *. Changes
             to the other items can be approved at the Academy/Faculty/Institution/Centre level.

             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 Re-  None
             quirement(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 pro-
                                                  gramming 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 con-
                                               cept 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 exam-
                                               ples 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 Per-  Marks for continuous assessment will be given before the final exam. Grades will
             formance                          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
   199   200   201   202   203   204   205   206   207   208   209