Module Code: |
H7ACI |
Long Title
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Academic Internship
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Title
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Academic Internship
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Module Level: |
LEVEL 7 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Author: |
CRISTINA HAVA MUNTEAN |
Departments: |
School of Computing
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Specifications of the qualifications and experience required of staff |
Degree in computer science or cognate discipline. May have industry experience also.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Investigate, design, and undertake a significant project related to the area of study. |
LO2 |
Carry out project planning, scheduling and risk management activities in order to meet strict project deadlines and perform time management activities to a high project management standard. |
LO3 |
Adhere to ethics and governance protocols with respect to all project work. |
LO4 |
Articulate insights and complex information in language that is accessible to a non-technical audience. |
LO5 |
Outline and defend project output through a presentation, report and artefact/product/data analysis demonstration where suitable. |
LO6 |
Reflect on, analyse and document the learning experience resulting from project activities. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Entry requirements |
Learners should have attained the knowledge, skills and competence gained from stage 2 of the BSc (Hons) in Data Science
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Module Content & Assessment
Indicative Content |
Project specification 1
A practical development project is undertaken which shows students how Business and IT managers approach some of today’s most widespread technology issues and challenges. . While faculty members may suggest topics, the project specification is decided by the student in consultation with the lecturer.
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Project specification 2
Different technology/software solutions discussed and explored
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Project Management
Time, Scope and Project Management.
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Essentials of Business Writing skills
The principles and processes of professional report writing.. Presenting technical data to a non-technical audience.
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Academic Writing and Referencing
This seminar will give an overview on academic writing, how to reference correctly
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Speaking so that people will listen(Public speaking for amateurs)
Identify and understand the appropriate techniques for delivery of a ‘message’ to an off-site audience; the techniques required to deliver to ‘face to face’ audiences.
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Midpoint Presentation
Student to demonstrate what they have done in their project to date
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Testing and debugging
Introduction to Testing (System test, Integration and unit) Usability and Design. Troubleshooting and debugging of errors
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Technical Report
What is required, sample structure
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Project Development 1
Time allocated for project development
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Project Development 2
Time allocated for project development
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Showcase of Final Project
Student to demonstrate final project
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Assessment Breakdown | % |
Coursework | 100.00% |
AssessmentsFull Time
Coursework |
Assessment Type: |
Continuous Assessment |
% of total: |
Non-Marked |
Assessment Date: |
n/a |
Outcome addressed: |
1,2,3,4,5,6 |
Non-Marked: |
Yes |
Assessment Description: Ongoing independent and group problem solving activities and feedback. |
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Assessment Type: |
Project |
% of total: |
100 |
Assessment Date: |
n/a |
Outcome addressed: |
1,2,3,4,5,6 |
Non-Marked: |
No |
Assessment Description: Learners will implement a project, report and showcase their project in means of a presentation |
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No End of Module Assessment |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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Reassessment Description Learners who fail the Academic Internship module will be required to do a repeat project where all learning outcomes will be examined.
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NCIRL reserves the right to alter the nature and timings of assessment
Module Workload
Module Target Workload Hours 0 Hours |
Workload: Full Time |
Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
Lecture |
Academic Internship runs for a 6 month period (168 hours / 26 weeks = 6.46 hours per week |
6.5 |
Every Week |
6.50 |
Tutorial |
Academic Internship runs for a 6 month period (168 hours / 26 weeks = 12.92 hours per week |
13 |
Every Week |
13.00 |
Independent Learning |
Academic Internship runs for a 6 month period (246 hours / 26 weeks = 9.46 hours per week |
9.5 |
Every Week |
9.50 |
Total Weekly Contact Hours |
19.50 |
Module Resources
Recommended Book Resources |
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Bovée, C. L. & Thill, J.. (2014), Business Communication Essentials: A Skills-Based Approach, Pearson, Harlow.
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Osterwalder, A. & Pigneur, Y.. (2010), , Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers,, John Wiley and Sons.
| This module does not have any article/paper resources |
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Other Resources |
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[Website], Website: Communicating data science: A
guide to presenting your work,
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