Module: Intra

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-ordinator	Semester 1: Rory O'Connor Semester 2: Rory O'Connor Autumn: Rory O'Connor
Module Teacher	No Teacher Assigned
NFQ level	8	Credit Rating	30
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Repeat the module

Description

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.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
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 Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	INTRA report	100%	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

None

Programme or List of Programmes

DS	BSc in Data Science

Archives: