Introduction to Imagemaking
Descripción del Curso
This course for serious makers, and for students new to imagemaking. Imagemaking is a fluid and exciting area of graphic design that comes out of practice and process: experimenting fearlessly, showing and sharing ideas, and giving and receiving knowledgeable and constructive input.
For the sake of this online platform, we have applied some structure to our investigations, but for the most part imagemaking is loose and unstructured. If we must adopt a rule in this course it is only this: you will not become a graphic designer by watching videos alone. Or, don't just make stuff just in your head. So here, the focus here is on making, and you are expected to devote serious time and intellectual energy to that activity in this course. Specifically, you will:
- experiment with a range of materials and techniques to make images for graphic design
- expand your visual vocabulary both in terms of making and talking about work, in order to discuss your work and work of others
- learn how to make, manipulate and arrange images to create compositions, eventually culminating in the design and production of an-image-based book.
The first half of the course is an opportunity to experiment and explore imagemaking in order to expand your visual vocabulary. You will create pieces that are expressive, meditative, or 'design-y' to instigate, evoke, experiment, record, explain, or try out a media.
In the second two weeks, we’ll invite the images to deliberately and intentionally carry meaning and communication through relational moves like juxtaposition, composition, and context. We’ll look at developing and expanding the range of approaches for putting things together by composing page spreads with your images. Since nothing exists without context, we look at how to intentionally drive the image’s connotations, meanings, and associations generated through elements of composition and “visual contrasts.” Ultimately, we will take the images that you create and make a book from them.
The results of your assignments (and experiments) may generate something completely unknowable now or in the future—and that's the goal.