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
  INEXCH1   International Exchange (Inbound)   (INEXCH)
0.00
  SABRD1   Study Abroad   (Study Abroad)
0.00
  ICE1   Individual Course Enrolment   (ICE)
0.00
  AK3697   Bachelor of Computer and Information Sciences   (BCIS)
360.00
  AK3698   Graduate Diploma in Computer and Information Sciences   (GradDipCIS)
120.00
  AK3756   Graduate Certificate in Computer and Information Sciences   (GradCertCIS)
60.00
Timetable
2024, Semester 1
Class Stream Starting Ending Day Time Room
COMP615/W101  A  28-Feb-2024  29-May-2024  WED  8:00 AM - 10:00 AM  WZ416 
    01-Mar-2024  31-May-2024  FRI  8:00 AM - 10:00 AM  WZ602 
COMP615/W102  A  28-Feb-2024  29-May-2024  WED  8:00 AM - 10:00 AM  WZ416 
    01-Mar-2024  31-May-2024  FRI  10:00 AM - 12:00 PM  WZ602 
COMP615/W103  A  28-Feb-2024  29-May-2024  WED  8:00 AM - 10:00 AM  WZ416 
    29-Feb-2024  30-May-2024  THU  10:00 AM - 12:00 PM  WS221 
COMP615/W104  A  28-Feb-2024  29-May-2024  WED  8:00 AM - 10:00 AM  WZ416 
    29-Feb-2024  30-May-2024  THU  2:00 PM - 4:00 PM  WZ601 
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Auckland University of Technology