Rhedir gan School of Computer Science and Electronic Engineering

20.000 Credyd neu 10.000 Credyd ECTS

Semester 1 a 2

Trefnydd: Prof Jonathan Roberts

Information Visualization is telling stories from data. The aim of this module is to introduce principles of information visualisation, develop critical evaluation skills, learn about visual design methods (such as the Five Design-Sheet sketching method), and use programming skills to create and present a new visualisation. Students discover stories hidden in some chosen data, and design their own visualisation to graphically depict the information, which is often presented alongside text, tables and other suitable methods. This is done to tell the story of that data set. Students learn critical evaluation skills, learn about different Information Visualization designs, about data types, learn how data can be mapped into visual artefacts and its value encoded through (e.g.,) size, shape, length, position, colour. They gain foundational knowledge and skills to design new innovative data Information Visualisations through planning by sketching and implementing their designs.

Indicative content includes:

• The history and future of Information Visualization; the challenges of Information Visualization; tasks; user, perception, data types.
• Looking at data. Data capture and problems of capturing data. Selection/abstraction of data (aggregation, sampling; binning; cropping); Big data challenges.
• Understand current visualisation techniques, including traditional plots (bar, line, scatter etc.), parallel coordinate plots, treemaps, re-orderable matrix; scatter plot matrix.
• Perception, visual mapping and interpretation; understanding how humans perceive information. Encoding of value; Encoding of relation; Models: Bertin, Mackinlay (Quantitative, Ordinal, and Categorical), Semiotics.
• Design of visualisations, Five Design-Sheet method; Consideration and critical thinking around alternative solutions.
• Storytelling and Presentation. Display, layout and presentation of visual information. Interaction and static presentation. Techniques such as focus-and-context, size adjustment, scale and distortion; multiple views and composite displays.

trothwy

Equivalent to 50%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

da

Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

ardderchog

Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

1. Critically evaluate Information Visualization techniques and suitability for a given purpose.

2. Apply information visualization techniques (Representation, Presentation, and Interaction) to develop new visualization techniques.

3. Evaluate and develop alternative visualization design solutions through sketching and planning.

4. Select appropriate visual techniques for a particular context.

5. Describe different aspects of data, identify, analyse and evaluate component parts.

Math	Enw	Disgrifiad	Pwysau
	Analysis of data		25.00
	Technical design plan		25.00
	Created visualisation		25.00
	Storytelling and reflection		25.00

		Oriau
Lecture	Traditional lectures (1 hr x 24 weeks)	24
Practical classes and workshops	Practical exercises and group discussions.	24
Private study	Tutor-directed private study including individual assessments.	152

• Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
• Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
• Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
• Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
• Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
• Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
• Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
• Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
• Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
• Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.

• Apply knowledge and understanding of the specialist cognate area of computer systems engineering in an international context;
• Formulate and analyse requirements and practical constraints of products, processes and services, place them in an engineering context and manage their implementation;
• Solve problems logically and systematically;
• Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions.
• Plan, budget, organise and manage people and resources;
• Agree objectives and work plans with individuals;
• Analyse and display data using appropriate methods and mathematical techniques;
• Deploy theory in design, implementation and evaluation of systems
• Specify, design or construct computer-based systems
• Deploy tools effectively
• Development of general transferable skills
• System Design
• Knowledge and/or understanding of appropriate scientific and engineering principles

Rhestrau Darllen Bangor (Talis)

http://readinglists.bangor.ac.uk/modules/ice-4121.html

Rhestr ddarllen

• Five Design-Sheets: Creative Design and Sketching for Computing and Visualisation. Authors: Roberts, Jonathan C, Headleand, Christopher J., Ritsos, Panagiotis D. Springer. 2017

Gorfodol mewn cyrsiau:

• G5BB: MSc Advanced Data Science year 1 (MSC/ADS)

Opsiynol mewn cyrsiau:

• H117: MComp Computer Science year 4 (MCOMP/CS)
• G4AS: MSc Advanced Computer Science year 1 (MSC/ACS)
• G5BC: MSc Computing for Data Science year 1 (MSC/CDS)