Module Specifications..
Current Academic Year 2020 - 2021
Please note that this information is subject to change.
| Module Title |
Introduction to Machine Learning |
| Module Code |
CA271 |
|
School |
School of Computing |
Online Module Resources
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| Module Teacher | No Teacher Assigned | |
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NFQ level |
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Credit Rating |
10 |
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Pre-requisite |
None |
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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Description
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Learning Outcomes |
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| Workload |
Full-time hours per semester |
| Type |
Hours |
Description |
| Total Workload: 0 |
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
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None |
| Assessment Breakdown | | Continuous Assessment | 100% | Examination Weight | 0% |
| Course Work Breakdown |
| Type | Description | % of total | Assessment Date |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component |
| This module is category 1 |
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Indicative Reading List
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Other Resources
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None |
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Array |
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Programme or List of Programmes
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| DS | BSc in Data Science |
| ECSAO | Study Abroad (Engineering & Computing) |
| Timetable this semester: Timetable for CA271 |
| Archives: | |
