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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Intra
Module Code CA338
School School of Computing
Module Co-ordinatorSemester 1: Rory O'Connor
Semester 2: Rory O'Connor
Autumn: Rory O'Connor
Module TeacherNo Teacher Assigned
NFQ level 8 Credit Rating 30
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Repeat the module

INTRA Work Placement

Learning Outcomes

1. Apply theoretical aspects of their programme to relevant practical work in companies/organisations based in Ireland and abroad.
2. Identify, describe and formulate solutions to real-world data science problems.
3. Demonstrate initiative and ingenuity in deriving novel solutions to specific data science problems.
4. Interact effectively through communicating computing ideas concepts and ideas by oral, written and graphical means.
5. Demonstrate professional attributes, such as attendance, punctuality, reliability, etc.

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

Indicative Content and Learning Activities

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentINTRA report100%n/a
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 2
Indicative Reading List

    Other Resources

    Programme or List of Programmes
    DSBSc in Data Science

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