Course Details
Foundations of Data Science
Course Code COMP615
EFTS 0.1250
Points 15.00
Level 6
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Prescriptor
This paper focuses on several core topics that constitute the infrastructure for Data Science, including the data analytics pipeline, management of large scale data, how analytics and machine learning capabilities are built on top of that storage, and how data scientists develop machine learning and modelling platforms using libraries and robust architecture design patterns.
Resources
No Resource is available.
Qualifications
The course is available as part of the following qualifications.
Expand to see requisite details. Points
  AK3697   Bachelor of Computer and Information Sciences   (BCIS)
360.00
Prerequisites
COMP517
  ICE1   Individual Course Enrolment   (ICE)
0.00
  SABRD1   Study Abroad   (Study Abroad)
0.00
  INEXCH1   International Exchange (Inbound)   (INEXCH)
0.00
  AK3698   Graduate Diploma in Computer and Information Sciences   (GradDipCIS)
120.00
  AK3756   Graduate Certificate in Computer and Information Sciences   (GradCertCIS)
60.00
Timetable
2025, Semester 1 Standard
Class Stream Starting Ending Day Time Room
COMP615/W101  A  05-Mar-2025  04-Jun-2025  WED  12:00 PM - 2:00 PM  WZ416 
    05-Mar-2025  04-Jun-2025  WED  4:00 PM - 6:00 PM  WS221 
COMP615/W102  A  05-Mar-2025  04-Jun-2025  WED  12:00 PM - 2:00 PM  WZ416 
    06-Mar-2025  05-Jun-2025  THU  10:00 AM - 12:00 PM  WZ517 
COMP615/W103  A  05-Mar-2025  04-Jun-2025  WED  12:00 PM - 2:00 PM  WZ416 
    05-Mar-2025  04-Jun-2025  WED  2:00 PM - 4:00 PM  WZ517 
COMP615/W104  A  05-Mar-2025  04-Jun-2025  WED  12:00 PM - 2:00 PM  WZ416 
    07-Mar-2025  06-Jun-2025  FRI  3:00 PM - 5:00 PM  WZ602 
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