Module: Physics Laboratory

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Physics Laboratory
Module Code	PS262
School	School of Physical Sciences
Module Co-ordinator	Semester 1: John Costello Semester 2: John Costello Autumn: John Costello
Module Teachers	Enda McGlynn John Costello
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Repeat the module

Description

Year 2 semester 2 general physics laboratory for PAN classes involving least square fitting projects, a virtual experiment, and Arduino electronics project.

Learning Outcomes

1. Acquire and analyse simulated experimental data from a virtualised experiment
2. Concisely write a technical report on a virtualised experiment, computational projects, and an electronics project design and outcomes
3. Give brief oral presentation on project work
4. Describe relevant ethical issues in relation to plagiarism and adhere to University regulations concerning same.
5. Prepare joint reports and present teamwork to peers
6. Demonstrate engagement with relevant professional development skills development exercises in areas such as scientific writing, CV and interview skills etc.
7. Apply knowledge gained in lecture modules to the interpretation of experimental results

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Laboratory	66	Undertaking project work and virtual experiments
Independent Study	35	Background reading for design and implementation, as well as physics of least square fitting projects
Assessment Feedback	24	Demonstrate engagement with relevant professional development skills development exercises in areas such as writing for/communicating to different audiences, CV and interview skills etc. The exact range of activities depend on the developments within the transversal skills part of the HCI project
Total Workload: 125

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

Group computational project work
Students will also take one project based task on least-square fitting of measured data, to learn about errors of fitting models and how to appropriately estimate them.

Virtual lab
Students will perform a virtualised online experiment and deliver an experimental report on the findings of the experiment

Electronic Project
Students will plan an build an Arduino based electronics project to capture digitally record physical phenomena

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Practical/skills evaluation	Project design studies and project reports submitted via loop, and oral presentations. Virtual experiments via lab report, computational least square fitting via various weekly assignments and final group project report	80%	As required
Professional Practice	Demonstrate engagement with relevant professional development skills development exercises in areas such as writing for/communicating to different audiences, CV and interview skills etc. The exact range of activities may vary slightly from year to year.	20%	As required

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

PAN	BSc Physics with Data Analytics

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