Page 112 - handbook 20162017
P. 112

Faculty of Science Handbook, Session 2016/2017




               Soft Skills:                                     Assessment Methods:
               CS3, LL2, EM2                                    Continuous Assessment:  40%
                                                                Final Examination:  60%
               Main References:
               1. Connolly,  T.  M.  &  Begg,  C.E.  (2014).  Database  Medium of Instruction:
                 Systems:   A   Practical   Approach   to   Design,  English
                 Implementation,  and  Management.  6th  ed.  Pearson
                 Education.                                     Soft Skills:
               2. Carlos  Coronel  &  Steven  Morris  (2014).  Database  CT3, TS2, LS2
                 Systems: Design, Implementation, & Management.
               3. Nenad  Jukic  &  Susan  Vrbsky  (2013).  Database  Main References:
                 Systems:  Introduction  to  Databases  and  Data  1. Tore  S.  (2012).  Genomics  and  Bioinformatics:  An
                 Warehouses.                                      Introduction  to  Programming  Tools  for  Life  Scientists.
                                                                  Cambridge University Press.
                                                                2. Ziheng  Yang  (2014).  Molecular  Evolution:  A  Statistical
               SIV 3001  RESEARCH PROJECT IN                      Approach. Oxford University Press.
               BIOINFORMATICS                                   3. Micheal  Agostino  (2012).  Practical  Bioinformatics.
                                                                  Garland Science.
               The  course is  best  taken  in  two  consecutive  semesters.
               The 3rd Semester is not included as the duration is short
               (8  weeks  only).  Students  carry  out  the  research  projects  SIV 3004  PROGRAMMING IN BIOINFORMATICS
               (and  complete  the  thesis)  individually  under  the
               supervision  of  at  least  one  lecturer  from  the  enroled  This course  aims  to  provide  specific knowledge  required
               program (unless in special cases that was consented by  for  bioinformatics  students  to  learn  advanced  aspects  in
               the Head of ISB). The lecturer is considered as the main  bioinformatics programming. It covers the techniques used
               supervisor.  The  supervisor  must  ensure  that  the  project  for  bioinformatics  programming;  and  instruction  on  the
               can  be  completed  within  the  2  semesters.  Thesis  of  the  techniques and the use of tools for accessing, searching
               project should be submitted to the examiner. It should be  and  retrieving  information  from  biological  databases  and
               presented to the appointed Co-ordinator of the Course, by  the  submission  of  new  entries.  Besides  that,  it  also
               the 14th week of the 2nd Semester. Texts of the thesis is  introduces  the  scripting  languages  commonly  used  in
               suggested to be between 10,000-20,000 words (excluding  Bioinformatics  such  as  Perl,  Python  and  Java.  The
               tables, bibliography, appendices, etc).          libraries and toolkits relating to the scripting languages will
                                                                be also introduced such BioPerl, Biopython and BioJava.
               Assessment Methods:                              Various problems related to Bioinformatics are considered
               Continuous Assessment  100%                      to  be  solved  using  one  of  the  scripting  programming
                                                                languages.
               Medium of Instruction:
               English                                          Assessment Methods:
                                                                Continuous Assessment:  60%
               Soft Skills:                                     Final Examination:  40%
               CS3, CT3, LL2, EM2
                                                                Medium of Instruction:
                                                                English
               SIV 3002  INDUSTRIAL TRAINING IN
               BIOINFORMATICS                                   Soft Skills:
                                                                CS4, CT3, TS2
               Students  will  be  placed  at  government  hospitals,  other
               relevant  government  or  private  agencies  of their  choice,  Main References:
               which have agreed to host them. Students will be exposed  1. Keith Bradnam and Ian Korf (2012). UNIX and Perl to
               to  everyday  working  activities  as  instructed  by  their  the  Rescue:  A  Field  Guide  for  the  Life  Sciences.
               supervisors at the place of work. At the end of the training,  Cambridge University Press
               the  students  have  to  submit  a  report  for  the  training  2. Brian  D  foy,  Randal  L.  Schwartz  and  Tom  Phoenix
               experience; the employer submits a separate report about  (2011). Learning Perl. Sixth Edition.  O'Reilly Media
               the student’s performance throughout the duration of the  3. Mitchell  L  Model  (2010).  Bioinformatics  Programming
               training.                                          Using Python. O’Reilly Media.
               Assessment Methods:
               Continuous Assessment:  100%                     SIV 3005  BIOMOLECULAR MODELLING
               Medium of Instruction:                           This course covers the following  topics: The concepts of
               English                                          molecular viewer and protein databases; The structure of
                                                                biomolecules  especially  proteins;  Protein  structure
               Soft Skills:                                     determination and prediction; Applications of biomolecular
               CS3, CT2, TS1, EM2                               modeling in drugs and vaccine development and design.
                                                                Assessment Methods:
               SIV 3003  ANALYSIS OF MOLECULAR SEQUENCE         Continuous Assessment:  40%
                                                                Final Examination:  60%
               This  course  emphasizes  the  basic  understanding  and
               knowledge required to analyse different types of molecular  Medium of Instruction:
               sequences.    In  practice,  students  will  be  introduced  to  English
               databases,  methods  of  searching  and  matching,
               exploration  of  molecular  information  using  predictive  Soft Skills:
               methods,  and  molecular  phylogenetics  for  both  nucleic  CT3, TS2, LL2
               acids and protein sequences.


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