Property:Learning outcomes

This is a property of type Text.

Pages using the property "Learning outcomes"

Showing 25 pages using this property.

(previous 25) (next 25)

A
API comparison: Protege, OWL and SPARQL +	Having joined this lecture, you * will have gained an understanding on the main differences between the OWL and the Protege API * you will be able to address the advantages/shortcomings of the APIs * will have established your own program using one of these APIs * are able to define the outcome of your project using these APIs  +
Antennas and their communication parameters (B2-B3) +	What will we learn today: * Reflection coefficient and impedance * Propagation and Absorption * Antenna types * Radiation patterns * Antenna gain * Interference  +
Applying SWRL, DL Query and SPARQL to your ontology +	Having visited the lecture, you will * Have understood the principle of using SWRL (Protege 3.x) or Query (Protege 4.x) * Have learned how to apply a SPARQL query * Have learned how to create a SWRL rule  +
B
Basic Internet Feedback to Malta keynote +	Having followed the lecture, you have * learned about the free access to information * understood the bandwidth requirements of different types of services * received an understanding of html5 elements * learned about pilots with free access, e.g. Facebooks FreeBasics  +
Basics of Communication (A1-A3) +	What will we learn today * Basics of radio communication * Typical radio transmission * What effects the signal strengths  +
Basics of Semantics +	Having joined this lecture, you * Understand the need for semantics * can list the basic elements of semantic technologies * understand the differences between semantic web and semantic web services * Next: Identify semantic technologies for description of the user and his context * Next: Describe the difference between ontologies and rules  +
C
Cell and Cellular Traffic-I +	Understand the following topics: * Cell geometry * Frequency reuse * Co-Channel Interference * Co-Channel Interference Reduction * Cell Splitting * Coverage Area Estimation * Traffic Capacity and Trunking * Adjacent Channel Interference  +
Cell and Cellular Traffic-II +	Understand the following topics: * Coverage Area Estimation * Traffic Capacity and Trunking * Adjacent Channel Interference  +
Combating the effect of Fading in Mobile Systems +	Types of Diversity, Diversity algorithms, Channel equalizers, Multiple antennas fundamentals  +
Comparison of Pellets, FaCT and HermiT +	Having joined this lecture, you will * understand the goals of applying ''reasoning'' * provide answers on why they are that many reasoners * list the Protege 4.2 reasoners * explain key aspects of reasoning * Reasoner Comparison: HermiT, Fact++ and Pellets; internal versus external reasoning  +
Context-aware Scenarios +	Having joined this lecture and prepared your scenario description, you * have a basic understanding of "tripple store" (.rdf) and ontologies (.owl) * will be able to describe a scenario based on ** who, when, what, how * define some hierarchical overview on "classes" being involved in your scenario * prepare for the .owl implemenation of your classes  +
Context-aware Scenarios III +	Learned how to follow the principles of * Goal-driven ontology development * Keep it simply & stupid (KISS), and rather extend later on  +
Context-aware Scenarios part II +	Having joined this lecture and prepared your scenario description, you * have a basic understanding of "tripple store" (.rdf) and ontologies (.owl) * will be able to describe a scenario based on ** who, when, what, how * define some hierarchical overview on "classes" being involved in your scenario * prepare for the .owl implemenation of your classes  +
Cost 231 propagation model comparison +	Having followed the lecture, you will have learned * which are the main COST231 models for mobile propagation are * where to apply the models  +
Cost231 propagation models +	Having followed the lecture, you will have learned * which are the main COST231 models for mobile propagation are * where to apply the models  +
D
Develop Semantic Application +	Having joined this lecture, you will * have gained a practical experience with the OWL API, Protege API or Jena API * have used the Java export capabilities from Protege 4.x * have structured your thoughts towards an own application  +
E
Environments for Mobile and Wireless Communications (C1-C3) +	* get feedback on your topics * ask questions and get feedback on how to structure a presentation *  +
Exam 2013 +	You will have a refreshed knowledge of the main parts of the course  +
Exam v12 +	you hopefully will have a refreshed knowledge of the main parts of the course  +
F
Fast and Hierachical MobileIP, Electroic nose +	Learning outcomes: * Get an introduction to the upcoming world of sensors * Explain the principles of FMIP and HMIP * Explain the differences of fast/hierachical MobileIP as compared to traditional Mobile IP  +
Femto or Small Cells +	Having joined this lecture, you will * understand the challenges of indoor coverage and capacity * get an idea of the amount of "cell breathing" in 3G * understand the principle of Femto Cells * be able to explain the effect of increased network capacity when the macro network is supported by indoor base stations.  +
H
H14-Invers Mobile Operator +	Having followed the lecture, you have * given a presentation of your scenario * learned where to set focus  +
Hand's on experience with Ontologies +	Having joined this course, you * know the basic features of Protege * can establish groups and classes in Protege * understand the difference between owl and Semantic MediaWiki use of classes, properties, and instances  +
Handover modelling model using COST 231 WI +	Having followed the lecture, you will have * applied the COST 231 WI model to the Wireless Handover Modelling project * will be able to discuss impact of antenna height and street width to the results of the simulation  +
I
Implementation Cost231 models +	Having followed the lecture, you will have * established a matlab model for the Cost231 propagation models * have established * where to apply the models  +

(previous 25) (next 25)