Page 110 -
P. 110

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/Centre                Engineering

             Department                            Civil Engineering
             Programme                             Bachelor of Engineering (Civil)
                                                   Bachelor of Engineering (Environmental)
             Course Code*                          KAEA2103

             Course Title*                         Probability and Statistics
             Course Pre-requisite(s)/ Minimum      Nil
             Requirement(s)
             Student Learning Time (SLT)*          80 hours

             Credit*                               2
             Learning Outcomes*                    1.  At the end of the course, students are able to:
                                                   2.
                                                   3.  Apply the concept of sampling, sampling distribution, estimations and
                                                      testing hypotheses
                                                   4.  Identify the concept of estimations and testing hypothesis
                                                   5.  Examine the concept of linear regression
                                                   6.  Apply the concept of time series
              Transferable Skills                  Analytical skills, statistical skills
             Synopsis of Course Contents           Introducing students to statistical and probabilistic methods that could be
                                                   utilized  for  solving  problems  in  civil  and  Bachelor  of  Engineering
                                                   (Environmental). This includes both descriptive and analytical methods for
                                                   dealing  with  variability  in  observed  data.    Also,  included  are  guided
                                                   applications to simple statistical analysis using software.
             Method of Delivery (lecture, tutorial,   Lectures / in class exercise
             workshop, etc)
             Assessment Methods*                   Examination 60%
                                                   Continuous Assessment 40%

             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
   105   106   107   108   109   110   111   112   113   114   115