Page 96 - Handbook PG 20182019
P. 96

Faculty of Science Postgraduate Booklet, Session 2018/2019

                   3.  Sovan  Lek,  Jean-Francois  Guegan  (2012).  Artificial  Neuronal  Networks:  Application  to
                       Ecology and Evolution, Springer Science & Business Media.


               SQF7013 Database Systems

               The  syllabus  of  this  course  includes  background  of  database  systems,  the  relational  model  and
               languages,  Relational  algebra  and  relational  calculus,  database  analysis  and  design,  methodology
               and some selected database issues. An introduction to noSQL database is given toward the end of
               the course. Hands on practical sessions are held according to the topics given.

               Assessment Methods:
               Continuous Assessment: 100%

               Medium of Instruction:
               English

               Transferable Skills:
               Effective  communication,  critical  thinking  and  problem  solving,  teamwork,  lifelong  learning,
               professionalisms

               Humanity Skill:
               -

               References:
                                                      th
                   1.  Connolly T & Carolyn B. (2014). 6  ed. Database Systems: A practical approach to design,
                       implementation and management, Pearson Education, Boston.
                   2.  Conrad Bessant, Ian Shadforth, and Darren Oakley. (2009). Building Bioinformatics Solutions:
                       with  Perl.  R  abd  MySQL.  Oxford  University  Press,  Inc.,  New  York,  USA.  (Website:
                       computing.org)


               SQF7014 Computing

               This  course  includes  important  and  current  topics  in  computer  science  that  can  be  applied  in
               Bioinformatics such as information systems, database systems, operating systems, worldwide web,
               programming, visual analytics, data science, big data analytics and cloud computing. The lectures are
               followed by hands-on practical on the topics presented.

               Assessment Methods:
               Continuous Assessment: 100%

               Medium of Instruction:
               English

               Transferable Skills:
               Effective communication, critical thinking and problem solving, teamwork, lifelong learning

               Humanity Skill:
               -



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