Change Requests eingearbeitet

docs/01-module-block-1/02-learning-goals.adoc

@@ -12,7 +12,7 @@ Die Teilnehmenden kennen die globalen Herausforderungen des Klimawandels. Sie ke
 Die Teilnehmenden kennen die Möglichkeiten zur Einsparung von Energie und CO~2~ durch die Digitalisierung. Sie kennen die Sektoren, die besonders von Digitalisierung profitieren. Der Unterschied zwischen Einsparungen in der IT und durch die IT ist bekannt.
 
 [[LZ-1-3]]
-==== LZ 1-3: Energieverbrauch von IT einordnen, beziffern und deren Treiber benennen
+==== LZ 1-3: Energieverbrauch von IT einordnen, beziffern und deren Treiber kennen
 
 Die Teilnehmenden können den Energieverbrauch der Informationstechnik beziffern, können diesen in Relation zu anderen Sektoren einordnen und die wesentlichen Treiber benennen. Sie kennen Trends und Entwicklungen in der IT und zentrale Stellschrauben.
 
@@ -40,12 +40,12 @@ Participants are familiar with the global challenges of climate change. They kno
 Participants know the possibilities for saving energy and CO~2~ through digitalisation. They know the sectors that particularly benefit from digitalisation. The difference between savings in IT and through IT is known.
 
 [[LG-1-3]]
-==== LG 1-3: Classify and quantify IT energy consumption and name its drivers
+==== LG 1-3: Categorising and quantifying IT energy consumption and know its drivers
 
 Participants can quantify the energy consumption of information technology, categorise it in relation to other sectors and name the main drivers. They are familiar with trends and developments in IT and key levers.
 
 [[LG-1-4]]
-==== LG 1-4: Know the fields of action for saving CO~2~
+==== LG 1-4: Knowing the fields of action for saving CO~2~
 
 The participants know the fields of action for saving CO~2~:
 

docs/02-module-block-2/02-learning-goals.adoc

@@ -26,12 +26,12 @@ Die Teilnehmenden kennen die Anforderungen der verschiedenen Stakeholder an ener
 // tag::EN[]
 
 [[LG-2-1]]
-==== LG 2-1: Know the regulations and their requirements
+==== LG 2-1: Knowing the regulations and their requirements
 
 Participants know the regulatory framework and the requirements it contains for saving CO~2~. They know the existing certifications, such as the Blue Angel, and can use them appropriately in their work. Participants are familiar with standards such as ESG (Environmental Social Governance) and CSRD (Corporate Sustainability Reporting Directive) and their effects and consequences for companies.
 
 [[LG-2-2]]
-==== LG 2-2: Know and apply the Greenhouse Gas Protocol
+==== LG 2-2: Knowing and applying the Greenhouse Gas Protocol
 
 Participants are familiar with the Greenhouse Gas Protocol (GHP). They are able to explain the scopes and assign emissions to the scopes. They can explain which scopes are affected when operating software in the cloud or on premise. Participants are familiar with ISO 14064-1 as a derivation of the Greenhouse Gas Protocol.
 

docs/03-module-block-3/02-learning-goals.adoc

@@ -14,7 +14,7 @@ Die Teilnehmenden kennen die positiven und negativen Wechselwirkungen zwischen Q
 // tag::EN[]
 
 [[LG-3-1]]
-==== LG 3-1: Know quality models and their relation to energy efficiency
+==== LG 3-1: Knowing quality models and their relation to energy efficiency
 Participants are familiar with different quality models and can describe quality attributes relating to energy efficiency and categorise them in the quality models. In addition, participants are able to formulate quality scenarios for quality attributes in the area of energy efficiency. Depending on the intended use and the quantity structure of the application, they can consciously decide whether the quality criteria are used only for the application or for the optimisation of the development process.
 
 [[LG-3-2]]

docs/04-module-block-4/02-learning-goals.adoc

@@ -48,7 +48,7 @@ Die Teilnehmenden verstehen, dass die Messungen möglichst einfach und leichtgew
 Participants are able to relate resources to the service provided (business metric). They are familiar with the ISO standard Software Carbon Intensity (SCI) as a metric and understand how it can be used as a business metric.
 
 [[LG-4-2]]
-==== LG 4-2: Know and use measuring methods and tools
+==== LG 4-2: Knowing and using measuring methods and tools
 Participants know different categories of measurement methods and their areas of application. They understand how to combine tools from the different categories for an analysis.
 Categories include, for example:
 
@@ -59,7 +59,7 @@ Categories include, for example:
 * Carbon footprint tools from cloud providers. In cloud environments, energy consumption cannot be measured directly. Instead, you have to rely on tools provided by the provider or other estimation methods. Participants are familiar with the functionality and limitations of these tools (inaccuracy, relative data, necessary authorisations in the cloud console) as well as the challenges of comparing managed services with pure VMs.
 
 [[LG-4-3]]
-==== LG 4-3: Know and apply measurement methods
+==== LG 4-3: Knowing and applying measurement methods
 The participants know the methodological procedure for measuring energy consumption and CO~2~ intensity. They understand that it is generally not possible to evaluate/measure absolute consumption very precisely (especially in the cloud), but how to analyse trends instead. They know proxy metrics for CO~2~ intensity.
 
 Participants know how to set up meaningful scenarios for measuring energy efficiency.
@@ -72,7 +72,7 @@ Participants know how to set up meaningful scenarios for measuring energy effici
 Participants understand that the procedure for measuring energy efficiency is related to the procedure for measuring performance. Participants understand how to proceed systematically in order to narrow down consumption hotspots.
 
 [[LG-4-4]]
-==== LG 4-4: Know integration options for measuring energy efficiency in the development process
+==== LG 4-4: Knowing integration options for measuring energy efficiency in the development process
 Participants know how to integrate energy efficiency measurements into the development process. They know how to integrate the measurements into the CI/CD pipeline. They understand how to find a good balance for the frequency of the measurements - on the one hand (negative) trends should be recognised quickly, on the other hand the measurement itself also consumes energy.
 
 Participants understand that the measurements must be as simple and lightweight as possible for developers to use in order to increase acceptance. They understand that energy efficiency measurements compete with quick feedback from the build. You understand that the following points are also important for acceptance:

docs/06-module-block-6/02-learning-goals.adoc

@@ -26,23 +26,23 @@ Die Teilnehmenden kennen die Vorschläge des W3C Energieeffizienz, die beim Web
 // tag::EN[]
 
 [[LG-6-1]]
-==== LG 6-1: Know and understand architectural styles and their relation to energy efficiency
+==== LG 6-1: Knowing and understanding architectural styles and their relation to energy efficiency
 Participants can assess different architectural styles such as distributed systems, structured monoliths or serverless and their impact on energy efficiency. In addition, they are able to assess the difference between stateless and stateful components in terms of energy requirements. Participants are familiar with the principles of cloud-native architectures and their impact on energy efficiency.
 
 [[LG-6-2]]
 ==== LG 6-2: Knowing communication and its impact on energy efficiency
 Participants are familiar with different types of communication (synchronous versus asynchronous) between building blocks in relation to the provision of data and the formats and protocols used (text-based versus binary protocols) with regard to energy efficiency. They are able to evaluate the influence of data compression on the transferred data volume and know that energy efficiency is positively influenced by a reduction in call frequency and data volume.
 
 [[LG-6-3]]
-==== LG 6-3: Know databases and their properties in relation to energy efficiency
+==== LG 6-3: Knowing databases and their characteristics in relation to energy efficiency
 Participants are familiar with different types of database models (relational, NoSQL, etc.) and different database systems (Postgres, DB2, Oracle, etc.) and can make the right choice in terms of energy efficiency. They are able to select a suitable service model (self-hosting versus cloud-based managed service) for their data storage.
 
 [[LG-6-4]]
-==== LG 6-4: Know and apply specific Green IT patterns 
+==== LG 6-4: Knowing and applying specific Green IT patterns 
 Participants are generally familiar with patterns such as those of the Green Software Foundation to improve the energy efficiency of an architecture. In addition, the participants are aware that a reduction in CO~2~ requirements can be achieved by using more renewable energy or by reducing resource requirements. They know that by applying time and location shifting, the proportion of green energy can be increased while other patterns, such as peak shaving, reduce resource requirements.
 
 [[LG-6-5]]
-==== LG 6-5: Know and use Web Sustainability Guidelines
+==== LG 6-5: Knowing and using Web Sustainability Guidelines
 Participants are familiar with the W3C energy efficiency proposals to be considered in web design, such as browser caching, use of a CDN, edge caching and are able to implement these in their applications. They are familiar with different file formats and types of graphic elements (e.g. animations) and are able to assess their energy efficiency.
 
 // end::EN[]

docs/07-module-block-7/02-learning-goals.adoc

@@ -54,15 +54,15 @@ Participants can assess the energy efficiency of a data centre. They know the Po
 Participants know the power-load relationship of hardware. They can calculate and estimate the Server Idle Energy Coefficient (SIEC).
 
 [[LG-7-2]]
-==== LG 7-2: Know cloud service models and assess them in terms of energy efficiency 
+==== LG 7-2: Knowing cloud service models and assessing them in terms of energy efficiency 
 Participants know the main categories of cloud computing services (cloud service models), in particular "Infrastructure as a Service", "Platform as a Service", "Software as a Service" and "Serverless". They can name the main characteristics of these models and weigh up where and how they differ in terms of energy efficiency and CO~2~ emission efficiency and where they are similar.
 
 [[LG-7-3]]
-==== LG 7-3: Know cloud deployment models and assess them in terms of energy efficiency 
+==== LG 7-3: Knowing cloud deployment models and assessing them in terms of energy efficiency 
 Participants know the different deployment models for cloud environments, in particular "public cloud", "private cloud", "hybrid cloud" and classic on-premise operation. They can demonstrate the opportunities and risks of these variants in terms of energy efficiency and CO~2~ emission efficiency. In particular, the energy efficiency of data centres, flexibility in the selection of hardware, overprovisioning and data traffic must be taken into account.
 
 [[LG-7-4]]
-==== LG 7-4: Evaluate and select suppliers according to ecologically sustainable aspects
+==== LG 7-4: Evaluating and selecting suppliers according to ecologically sustainable aspects
 Participants are able to assess ecologically sustainable aspects of the various providers in order to be able to take these into account when making a selection. To this end, they know how to obtain the following information, among others
 
 * Information on the current status of a provider's emissions (e.g. sustainability reports, environmental reports).
@@ -76,7 +76,7 @@ In addition, the participants know the possibilities and limitations of the prov
 Participants are familiar with the challenges of energy-efficient operation and typical anti-patterns such as overprovisioning due to a lack of monitoring, a lack of automation in provisioning or unfavourable geographical distribution.
 
 [[LG-7-6]]
-==== LG 7-6: Carry out CO~2~ optimisation in the cloud
+==== LG 7-6: Carrying out CO~2~ optimisation in the cloud
 Participants know how and to what extent they can influence the CO~2~ emissions of individual cloud providers by, among other things
 
 * Selecting zones with low-emission energy supply.