Center for Analysis and Design of Intelligent Agents

Over the course period you will write one paper. The purpose of it is to get experience in structuring a whole scientific paper, in the most common format of a prototypical science paper: In the form of a study requiring formulating hypotheses, designing an experiment, obtaining and presenting empirical data.

Your first assignment for the writing project is to pick a topic: Decide on a topic to write a paper on.
Ideally you should pick something highly relevant, e.g. topic you'd like to explore, something you are actually working on, proposed thesis topic, etc.), so that you are not simply writing a “hypothetical paper”.

(In general, you will learn better if the homework you do is somehow relevant to your proximal thoughts and actions, rather than some distant time, past or future. This goes for any and all learning, by the way!)

The teacher will will help you pick the best available topic (the topic must be approved by the teacher – not all topics are equally well suited for the purpose of learning how to write scientific papers). Discuss your ideas with your instructor before submitting!

Describe your topic/paper idea and send it in flat text via email to [ thorisson - at - gmail dot com ]). PLEASE PUT “REM4” IN THE TITLE OF YOUR EMAIL, SO IT GETS CLASSIFIED CORRECTLY IN THE TEACHER'S INBOX, and include the assignment number, e.g. REM4:P1. Thanks.

When your topic is fixed you need to find a title for your paper. This will be a tentative title at first – it will be honed as the paper progresses. The title should be as descriptive as possible and as short as possible. Obviously these are counteracting goals – the shorter a title is the less descriptive it is, and vice versa. Therein lies the challenge. The teacher can help you with this too, if you wish.

SUBMIT SHORT DESCRIPTION OF TOPIC AND TENTATIVE TITLE ON MYSCHOOL IN TXT FORMAT.

Typical format of a txt file turned into MySchool:

• MY TENTATIVE TITLE
• MY NAME
• SHORT DESCRIPTION OF WHAT QUESTION(S) WILL BE ADDRESSED IN THE PAPER

• Comparing the Rendering Performance of MapGuide Open Source on Windows and Linux - Ari Þórðarson
• Evaluating the Effectiveness of PermStruct for Discovering Structure in Sets of Permutations - Bjarki Guðmundsson
• Utilization of automated discrete trial training - Brynjar Ólafsson
• News Content Recognition in Social Network Posts - Carlo Castagnari
• SSD hardware design changes for FTLs in Kernel Space - Freysteinn Alfreðsson
• Sharing Behaviour for a Social Network User: Is it possible to predict it from his characteristics? - Giorgio Forchina
• The impact of gameplay to immersion in video games - Guðmundur Stefánsson
• Intrusion detection system using artificial neural network with firewalls - Guðrún Inga Baldursdóttir
• Comparison between RSA and AES encryption algorithms: advantages and disadvantages for network-accessed flat text - Hörður Már Hafsteinsson
• Software updates in smartphones: Factors Affecting Their Acceptance - Ingibjörg Ósk Jónsdóttir
• A comparison of selectors in XCS classifiers - Ívar Örn Ragnarsson
• Simulating information diffusion in Social Network with jSeagull - Jacopo de Berardinis
• A comparison of the effectiveness between pair programming and reviews on some common programming patterns while learning programming - Jón Friðrik Jónatansson
• Comparison and of HTTP Live Streaming and Real Time Streaming: Pros and Cons for Video Streaming - Luis Francisco Flores Vazquez
• Analyzing Trends in User Attitude Towards Real-World Software: Do Users Hate Change? - Steven Losh
• An Empirical Study of the Effect of Newsprint Paper on the Rate of Fruit Ripening - Oscar Alfonos Puerto Melendez
• Capabilities and Limitations of Metamorphic Testing - Ragnar Páll Árdal
• Algorithmic approach to classification of mesh pattern coincidence - Tómas Ken Magnússon
• Comparing Quality of Procedurally Generated Content to Human Made Content - Tryggvi Þór Guðmundsson
• Are Romance Languages More Descriptive? - A Comparative Study With Germanic Languages - Murray Tannock
• A Complete Classification of Small Geometric Classes - Christian Nathaniel Bean

• Intelligent Teaching Platform - Guðlaugur Garðar Eyþórsson
• Immersion - Haukur Jónasson
• Traffic Lights - Davíð Arnar Sverrisson
• Home Automation - Endri Azizi

• Syntax and Semantics of a Very Strongly Typed Object-Based Programming Language
• Comparison of three different malware detection techniques
• Risk base testing vs. Model/story based testing - where are the bugs?
• Applying machine learning to load balancing
• Analysis and Design of Computer infrastructure in small businesses-directed agriculture
• Comparison of unigram, trigram and five-gram language models in speech recognitionKristinsdóttir
• Exploring variability in wireless signal receptions