This document outlines the tasks and criteria for a unit on research techniques for creative media industries. The unit involves three tasks:
1. Producing a report on four types of research and resources that can be used, to be uploaded to a blog.
2. Producing a report researching a classic and modern video game, including its history and finances, and distributing a questionnaire.
3. Preparing and presenting a presentation summarizing all research findings, to be uploaded to a blog.
The tasks are mapped to grading criteria assessing understanding of research purposes, independent application of research methods, and professional presentation of results.
Imatges per donar entrada als alumnes nouvinguts a la conversa sobre el cap de setmana. Veureu que les activitats reflexen els caps de setmana reals de les famílies immigrades de Salt.
Imatges per donar entrada als alumnes nouvinguts a la conversa sobre el cap de setmana. Veureu que les activitats reflexen els caps de setmana reals de les famílies immigrades de Salt.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
1. Qualification Level 3 Extended Diploma in Creative Media Production – Games Design
Y1
Unit number and title L3 Unit 3 – Research Techniques for the Creative Media Industries.
Start date Wednesday 3rd September, 2014
Deadline Thursday 18th December, 2014
Assessor name Jordan Eastwood
Assignment title Unit 3 JE1 – Research Report for Game Studio.
The purpose of this assignment is to:
Unit 3 LO1: Understand the nature and purposes of research in the creative media industries.
Unit 3 LO2: Be able to apply a range of research methods and techniques.
Unit 3 LO3: Be able to present results of research.
Scenario
Looking at the Industry is important, designers come up with good ideas that are original and people research into that gameplay
mechanic to expand on its fun factor, Research is important and key to developing a Video Game, You need references for your
work, characters, environments, gameplay mechanics, enemies, boss fights, combat systems etc.
You started making your own Video Game and are willing to create a niche in the market, so you decide to create a Research
Report on a Video Game series but decided you wanted all primary research, so you decided to play one of the games in the
series to get an understanding on the games before you detail a report about it, when using your research a publishing company
has asked you to make it in-depth, marking terminology, aspects of the game you are looking at, what you could take from that
game and use in your own in terms of graphics, gameplay, mechanics and how did your research help you.
The publishing company has also asked to find out how financially viable that product has made, so a research report on
financial gains and losses for the game series chosen, a questionnaire would be the best bet to gain key research and find what
the public want in terms of the genre.
In the final requirement the Publisher has asked you to detail and present your findings, this presentation should detail the
game, about the game, findings, financial, conclusion etc. just feeding the knowledge to the publisher that you have researched
in fine detail about the game you are trying to create by using the research findings you have provided.
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2. Tasks Grading Criteria Mapping
Task 1 – Types of Research.
You have decided to develop a Research report on different types of research you can
use, the games company has asked you to look into 4 major types that can develop your
knowledge and understanding of what you can use.
You must produce a report on different types of research and what resources you can
use to develop your research as a whole. Describing 4 different types and what sub
research types can be used.
Comprehensively explain the nature and purposes of research in the creative
Media industries with elucidated examples and consistently using subject terminology
correctly.
When evidence is produced it must be uploaded to your blog in the Task 1 section. The
title of this blog post is: Types of Research.
Unit 3 P1/M1/D1
Task 2 – Report on Classic and Modern Game Research.
You must produce a report to research into a video game, the game should be from
Classic and current generation and a written detailed report about the games and its
history, and additional to this a section in the report should include the history of the
product and financial review. Not just looking at the game but also the media
surrounded by the product as well.
A questionnaire will be created about the product and handed out to the public to fill in
and return to collect research data.
Apply research methods and techniques to near professional standards working
independently to professional expectations.
When evidence is produced it must be uploaded to your blog in the Task 2 section. The
title of this blog post is: Report on Classic and Modern game research.
Unit 3 P2/M2/D2
Task 3 – Research Findings Presentation.
This task will require a presentation to be prepared notifying everything you have found
about the game, looking from the game in the past, modern era and analysing your
research techniques to get this information, looking at the game in a detailed form.
Slides will be added and presented as well in person and on the blog.
Present results of research to near-professional standards.
When evidence is produced it must be uploaded to your blog in the Task 3 section. The
title of this blog post is: Research Findings Presentation
Unit 3 P1/M1/D1
Unit 3 P2/M2/D2
Unit 3 P3/M3/D3
This brief has been verified as being fit for purpose
Assessor Jordan Eastwood
Signature Date:
Internal verifier
Signature Date:
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4. Unit 3 Research Techniques for the Creative Media Industries
P1: Describe the nature and
purposes of research in the
creative media industries with
some appropriate use of subject
terminology
[IE]
M1: explain the nature and
purposes of research in the
creative media industries with
detailed illustrative examples
and with generally correct use of
subject terminology
D1: comprehensively explain the
Nature and purposes of research
in the creative media industries
with elucidated examples and
consistently using subject
terminology correctly
P2: apply research methods and
techniques with some assistance
[IE]
M2: apply research methods and
techniques competently with only
occasional assistance
D2: apply research methods and
techniques to near-professional
standards working independently
to professional expectations
P3: present results of research M3: present results of research
competently
D3: present results of research to
near-professional standards.
4