ANIM1005: Fundamentals of Modelling for Game Art and Animation
Module Leader: Jaime Pardo.
Module Leader: Jaime Pardo.
Office Hours: Monday - Tuesday JL2022
Skype Availability by appointment: Wednesday 9am - 5pm
Email: j.pardo@worc.ac.uk
Submission Date: Friday 03/05/19.
Introduction
This module is designed to familiarise learners with 3D digital environments and the tools available for digital creation. It first looks to install the fundamentals of polygonal modelling techniques from concept designs through to production, mirroring industry practice. Seeking to investigate elegant visual solutions to building working environmental assets integrated into a coherent visual world for game or animation production.
Aims
Introduction
This module is designed to familiarise learners with 3D digital environments and the tools available for digital creation. It first looks to install the fundamentals of polygonal modelling techniques from concept designs through to production, mirroring industry practice. Seeking to investigate elegant visual solutions to building working environmental assets integrated into a coherent visual world for game or animation production.
Aims
- Define practices involved in the design and build of 3D objects.
- Engage with building practices prevalent in the CG industry.
- Practice visualisation through drawing.
- Work and design to a set brief.
Learning Outcomes
On successful completion of the module, students should be able to:
- Gain familiarity with 3D virtual environments.
- Adopt correct procedures and workflows in utilised in the industry.
- Interpret 2d designs into 3d objects
- Create polygonal artefacts based on predetermined designs.
Learning and Teaching Activities
A variety of teaching strategies will be deployed to ensure that the material is accessible to all participants. The weekly teaching sessions will be made up of Short lectures to provide a background introduction to principles, and methodologies behind construction to aid learner analysis and to form the backdrop to workshops.
A range of tutor-directed tasks, online video tutorials and further reading will serve to structure your independent study and prepare you to undertake the major project that is to be assessed.
You should expect to undertake a significant amount of accompanying independent study (at least 7 hours per week) – spending time practising, researching and preparing for sessions.
Independent study and practice of CG modelling skills will help to develop your understanding of this challenging medium and will be critical to successful engagement with this module. Guidance on readings, lecture notes and video tutorials will be provided on Lynda.com or via the module blog, as appropriate.
Structured individual tutorial support will be available to all students in order to provide feedback on the set tasks and to assist with planning and organisation of the main project.
Attendance Policy
It is expected that students will attend all taught, agreed tutorial, group and supervisory sessions, in
the same way, that attendance is expected in the workplace. Non-attendance may significantly affect
a student’s ability to successfully complete a module and may jeopardise their ability to undertake re-
assessment in the event of failing a module.
It is your responsibility as a student, just as it would be if you were an employee, to ensure that you
are punctual and that your attendance has been recorded on the register each week.
Should you, for some unavoidable reason, be unable to attend a scheduled session (for example if
you are ill) then you must send an email to ihcastudentabsence@worc.ac.uk. Please include in your
email your name and student number, the module code and name, the date of the missed session and your reason for missing it. You should make sure that you copy the module tutor into the email and also contact your module tutor to make arrangements to catch up on any work you have missed. Notification must be received within 6 days of the date of the missed session. Alternatively, you can inform the IoA Support Unit of your absence via the telephone. Please ring 01905 542542 (John Powell) with the required details. Students with two or more unexplained absences may be required to attend a tutorial/ interview with the module leader, course leader or head of division to discuss their progress.
Assessment and Assessment Criteria
There is one summative assessment item – based on the brief – failure submit will jeopardize both your right to re-assessment and your ability to graduate in 2018.
The assessment criteria are descriptions of grades which apply to particular levels of achievement.
They are intended to make more explicit the grades that are achieved at the end of each project.
The assessed learning which you may achieve on the course can be classified under different
headings, or domains.
1. Subject-specific knowledge: understanding, attributes, skills
• Generating and selecting ideas
• Investigation, enquiry and visualisation
• Process and/or concept development
2. Generic Knowledge and understanding, attributes and skills.
• Research and analysis of information, contextualisation and critical thinking
• Collaborative and process management
• Communication
The descriptions within these domains identify different levels of achievement. These levels progress
from a basic competence (surface learning) to a mature competence (deep learning). These levels
should enable you to understand what each grade means and what you need to do in order to
improve your grades. It is intended that there is a uniformity of progression in the descriptions from a
surface learning approach to a deep learning approach. Full grade descriptors are available via VLE (virtual learning environment, eg Blackboard/Google Site).
A surface approach to learning is essentially learning by rote. It depends on memory rather than
understanding and it can only usually be reapplied in a situation identical to the one initially
encountered. Surface learning does not last.
A deep approach to learning, on the other hand, leads to understanding, to the ability to determine
interrelationships and to apply underlying principles. This implies a capacity to transfer thinking and
performance to other situations. Deep learning is long lasting.
Reading and Resources
The resource list for this module can be accessed at
https://worc.rl.talis.com/search.html?q=ANIM1005
Attendance Policy
It is expected that students will attend all taught, agreed tutorial, group and supervisory sessions, in
the same way, that attendance is expected in the workplace. Non-attendance may significantly affect
a student’s ability to successfully complete a module and may jeopardise their ability to undertake re-
assessment in the event of failing a module.
It is your responsibility as a student, just as it would be if you were an employee, to ensure that you
are punctual and that your attendance has been recorded on the register each week.
Should you, for some unavoidable reason, be unable to attend a scheduled session (for example if
you are ill) then you must send an email to ihcastudentabsence@worc.ac.uk. Please include in your
email your name and student number, the module code and name, the date of the missed session and your reason for missing it. You should make sure that you copy the module tutor into the email and also contact your module tutor to make arrangements to catch up on any work you have missed. Notification must be received within 6 days of the date of the missed session. Alternatively, you can inform the IoA Support Unit of your absence via the telephone. Please ring 01905 542542 (John Powell) with the required details. Students with two or more unexplained absences may be required to attend a tutorial/ interview with the module leader, course leader or head of division to discuss their progress.
Assessment and Assessment Criteria
There is one summative assessment item – based on the brief – failure submit will jeopardize both your right to re-assessment and your ability to graduate in 2018.
They are intended to make more explicit the grades that are achieved at the end of each project.
The assessed learning which you may achieve on the course can be classified under different
headings, or domains.
1. Subject-specific knowledge: understanding, attributes, skills
• Generating and selecting ideas
• Investigation, enquiry and visualisation
• Process and/or concept development
2. Generic Knowledge and understanding, attributes and skills.
• Research and analysis of information, contextualisation and critical thinking
• Collaborative and process management
• Communication
The descriptions within these domains identify different levels of achievement. These levels progress
from a basic competence (surface learning) to a mature competence (deep learning). These levels
should enable you to understand what each grade means and what you need to do in order to
improve your grades. It is intended that there is a uniformity of progression in the descriptions from a
surface learning approach to a deep learning approach. Full grade descriptors are available via VLE (virtual learning environment, eg Blackboard/Google Site).
A surface approach to learning is essentially learning by rote. It depends on memory rather than
understanding and it can only usually be reapplied in a situation identical to the one initially
encountered. Surface learning does not last.
A deep approach to learning, on the other hand, leads to understanding, to the ability to determine
interrelationships and to apply underlying principles. This implies a capacity to transfer thinking and
performance to other situations. Deep learning is long lasting.
Reading and Resources
The resource list for this module can be accessed at
https://worc.rl.talis.com/search.html?q=ANIM1005
The latest guidance and policy relating to referencing at the University of Worcester is available at http://library.worc.ac.uk/guides/study-skills/referencing.
Students studying this module are advised to use the Harvard style of referencing.
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