AESTHETICS

Course Description

Aesthetics as a science and a theory. Reaching the level of ‘aesthetic’ perception. Aesthetics is a philosophical science that privileges sensual perception as suggested by Baumgarten and the consciousness of the aesthetic approach is an essential quality for a designer. It is also understood as the philosophy of art concerning the fundamental question ‘What is art?’ In this scope philosophers have written works basically related to this question since the ancient Greek civilisation. This course aims to build consciousness and create an awareness of aesthetic theories and contemporary issues in aesthetics which is necessary for developing unique projects in visual communication design.

AESTHETICS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Students will be able to Explain basic principles in aesthetics.
2. 02 Students will be able classify aesthetic categories.
3. 03 Students will be able analyse different aesthetic approaches in arts.
4. 04 Students will be able to compare aesthetics of different fields of arts.
5. 05 Students will be able to evaluate aesthetics of visual arts.

Course Syllabus

Reference Books & Course Materials

1. 01 "Aesthetics", Dietrich von Hildebrand (Author), Hildebrand Project (November 7, 2016)
2. 02 "Philosophies of Art and Beauty: Selected Readings in Aesthetics from Plato to Heidegger", Albert Hofstadter & Richard Kuhns, University of Chicago Press (August 15, 1976)
3. 03 "Aesthetics", Theodor W. Adorno, Polity; 1st edition (December 11, 2017)
4. 04 "Introducing Aesthetics and the Philosophy of Art", Darren Hudson Hick, Bloomsbury Academic; 2nd edition (August 24, 2017)

Learning Outcomes

1. L01 Students will be able to define basic principles in aesthetics.
2. L02 Students will be able classify aesthetic categories.
3. L03 Students will be able analyse different aesthetic approaches in arts.
4. L04 Students will be able to compare aesthetics of different fields of arts.
5. L05 Students will be able to evaluate aesthetics of visual arts.

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

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