OK, so before we start, I'm going to go through the goals with this chorus and the structure of the
course, how it's organized, in which sections I'm going to teach it, and typically a little bit about
which content each section include.
So.
We're going to start off with the cognitive and philosophical foundation of conceptual analysis and
conceptual modeling.
So we're going to go through kind of 20 years of philosophy and recent cognitive science to show you
how this actually works and why it works for us human beings.
So you should know the theoretical foundation upon which concept analysis and conceptual modeling rest.
Then we are going through the actual method.
How is this done?
And when we are learning about a new method, that is at least three different things you need to to
to consider here.
The first are the key concepts in the method as such.
So we're going to go through the key concepts.
Of course, what is a concept, what is and a property, for example, what is an object, what is an
association and generalization and all those kind of words that you are going to hear about we're going
to go through in depth so you know exactly the semantic meaning of them.
Then we're going to go through the actual process.
How is this done?
So you should know in which iteration concept analysis efficient and when and how to apply it successfully.
You should know the different techniques to use when performing conceptual modeling in front of outdoorswoman
workshops.
And we're going to go through exactly how to organize and facilitate those workshops and how to document
the result afterwards.
And then, of course, we're going to go through the notation, so the notation is used during the workshop,
of course, and is based on the key concepts here.
So you should be able, after the course, to be able to interpret and construct common and advanced
constructions in conceptual models using the language called UML, the unified modeling language.
So that's the language you're going to use here in this course.
And lastly, we're going to use my 16 years of experience in this professionally, and I will give you
loads of practical, real world examples.
So you it's not just about the theoretical examples I'm going to give you very down to earth examples
of how I usually apply this and examples of typical domain models.
So I'm going to take you through the rockbottom cognitive and philosophical foundations.
We're going to go through the notation language UML.
I'm going to give you Hands-On experience how to actually perform conceptual modeling workshops, and
I'm going to give you loads of tricks of the trade and real world examples.
So the course is divided into a number of sections.
So in the first section, which is in the introduction where we are right now, we have just went through
the introduction and now we're going through the sections and the goals and the structure of the course.
Then I'm going to go through the foundation.
So that's both the Cognitive Science Foundation and not least the two thousand five hundred years of
philosophical foundation.
After that, we're going through the actual notation, which is called UML, the unified modeling language.
We're going to go through the parts of the email that we're using for conceptual analysis, which is
a subset of UML.
So then we're going through the process, how we actually perform conceptual modelling.
And I'm going through a couple of different workshop techniques that are very concrete that you use
during each workshop that could help you resolve common issues that comes up.
Then we're going to go through the packaging of the model.
How do you subdivide the model into smaller chunks to kind of create subdomains within the larger domain
of the conceptual modeling you're you're creating?
So that's the five sections of the course.
Is this an advanced course?
Yes, in some sense it is an advanced course.
So learning the notation is quite simple.
So, as I said, there is one section here about where we actually just learn how to notate the conceptual
moldings.
However, in my experience, the notation is not the hard stuff.
The hard stuff is to know once you have learned the notation, how to apply it so that you actually
could create models that are crystal clear that everybody find very easy to interpret and that they
actually gain new knowledge and help you to take the next steps that you need to take.
So to know what it means and what to do with it, that's the hard part.
So before we begin, let's eat our own dog food here.
So I'm going to start actually, and that's going into the next section now to analyze the conceptual
foundations of conceptual analysis himself's.
Very good, so see you there.
Now we starting so we starting first with the cognitive foundation of conceptual analysis and then we're
going into the philosophical foundation of it.
See you there.