Modules | Engineering, Mathematics and Physical Sciences Intranet

MODULE TITLE	Communicating Data Science	CREDIT VALUE	15
MODULE CODE	MTHM507	MODULE CONVENER	Dr John Bruun (Coordinator)

DURATION: TERM	1	2	3
DURATION: WEEKS	0	10	0

Number of Students Taking Module (anticipated)	60

DESCRIPTION - summary of the module content

Critical to every successful academic and industrial career is the ability to keep abreast of developments in your area of expertise. Through engaging with suitable seminars in your specialism, reading research papers and presenting on new developments, you will develop the skills that are essential in a fast-paced and constantly developing environment. You will also be introduced to, and become part of, a thriving research community and will develop key relationships and networking opportunities.

AIMS - intentions of the module

This module aims to introduce you to the people and papers that are at the forefront of research in your specialism, and to develop in you the key skills required to stay up-to-date with your subject knowledge and succeed in the professional and academic environment.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge

1. Appreciate the role of reading, writing and presenting in research;

2. Develop literature search and reading skills, allowing you to distill key concepts from the literature;

3. Summarise and explain scientific concepts;

Discipline Specific Skills and Knowledge

4. Study specified themes in mathematical modelling;

Personal and Key Transferable / Employment Skills and Knowledge

5. Work collaboratively to understand advanced mathematical and scientific concepts;
6. Present ideas coherently and correctly in spoken and written English.

SYLLABUS PLAN - summary of the structure and academic content of the module

A selection of papers will be chosen for discussion, mirroring the topics and speakers for the relevant seminar series that students will be expected to attend.

LEARNING AND TEACHING

LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)

Scheduled Learning & Teaching Activities	40.00	Guided Independent Study	110.00	Placement / Study Abroad	0.00

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Internal and external seminars (online) will be selected each research theme, approximately weekly for 1-hour. Students are expected to attend the relevant seminars for their specialism. An additional 1-hour slot weekly will be used to discuss the seminars, and for the students to present relevant theories and papers to each other to help improve understanding during the seminars.

ASSESSMENT

FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

Form of Assessment	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Practice presentations	5 minutes each	1-6	Oral
Summary project proposal	2 pages	1-6	Written and oral

SUMMATIVE ASSESSMENT (% of credit)

Coursework	100	Written Exams	0	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of Credit	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Presentation (Group)	40	10 minutes	All	Written and Oral
Report	60	8 pages + appendices	All	Written and Oral

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)

Original Form of Assessment	Form of Re-assessment	ILOs Re-assessed	Time Scale for Re-assessment
Presentation (Group) *	Presentation (individual)	All	August Ref/Def Period
Report *	Report 2	All	August Ref/Def Period

*Please refer to reassessment notes for details on deferral vs. Referral reassessment

RE-ASSESSMENT NOTES

Deferrals: Reassessment will be by coursework in the deferred element only. For deferred candidates, the module mark will be uncapped.

Referrals: Reassessment will be by a single piece of coursework, combining a report and presentation, worth 100% of the module only. As it is a referral, the mark will be capped at 50%.

RESOURCES

INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE	15	ECTS VALUE	7.5

PRE-REQUISITE MODULES	None
CO-REQUISITE MODULES	None

NQF LEVEL (FHEQ)	7	AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Monday 14 September 2020	LAST REVISION DATE	Friday 27 January 2023

KEY WORDS SEARCH	Seminar; Research

MTHM507 - Communicating Data Science (2023)