ECTS - Aesthetics
Aesthetics (HUM320) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Aesthetics | HUM320 | General Elective | 3 | 0 | 0 | 3 | 4 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Discussion, Question and Answer. |
Course Lecturer(s) |
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Course Objectives | The course aims at introducing the concept of aesthetics to students, reading and discussing some of the most outstanding philosophers’ works (as a whole or as selections) on Aesthetics and tracing the changes and improvement in the idea of aesthetics in history. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Defining art, aesthetics, the beautiful and the ugly, and ethics; scrutinizing their contents; examining the place of aethetics in art and nature; discussing and comparing the views of the philosophers studied. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to Aesthetics | Recommended throughout the course |
2 | Aristote: Poetika(Poetics) | |
3 | Aristote: Poetika(Poetics) | |
4 | Plato: Şölen (Symposium) | |
5 | Plato: Şölen (Symposium) | |
6 | David Hume, Zevkin Ölçütüne Dair (Of the Standard of Taste) | |
7 | David Hume, Zevkin Ölçütüne Dair (Of the Standard of Taste) | |
8 | Kant, Immanuel, Yargı Yetisinin Eleştirisi (Critique of Judgment) | |
9 | Kant, Immanuel, Yargı Yetisinin Eleştirisi (Critique of Judgment) | |
10 | Kant, Immanuel, Yargı Yetisinin Eleştirisi | |
11 | Nietzsche, Friedrick, Putların Alacakaranlığı (Twilight of the Idols) (Selection) | |
12 | Nietzsche, Friedrick, Putların Alacakaranlığı (Selection) | |
13 | Nietzsche, Friedrick, Tragedyanın Doğuşu (Birth of Tragedy) (Selections) | |
14 | Nietzsche, Friedrick, Tragedyanın Doğuşu (Selections) | |
15 | Review | |
16 | Exam Week |
Sources
Course Book | 1. Aristoteles, Poetika, Remzi Kitabevi, İstanbul, 1987. |
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2. Platon, Şölen, Türkiye İş Bankası Kültür Yayınları, İstanbul, 2016. | |
3. David Hume, Zevkin Ölçütüne Dair, Elibron Classics, Boston, 2007. | |
4. Kant, Immanuel, Yargı Yetisinin Eleştirisi, İdea Yayınavi, İstanbul, 2006. | |
5. Nietzsche, Friedrick, Putların Alacakaranlığı, Türkiye İş Bankası Kültür Yayınları, İstanbul,2010. | |
6. Nietzsche, Friedrick, Tragedyanın Doğuşu, Can sanat Yayınları, İstanbul, 2013. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 5 | 20 |
Presentation | 2 | 10 |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 9 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | |||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | |||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. | |||||
5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. | |||||
6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually | |||||
7 | Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
9 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | X | ||||
10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; | |||||
11 | Knowledge of the standards utilized in software engineering applications | |||||
12 | Knowledge on business practices such as project management, risk management and change management; | |||||
13 | Awareness about entrepreneurship, innovation | |||||
14 | Knowledge on sustainable development | |||||
15 | Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; | |||||
16 | Awareness of the legal consequences of engineering solutions | |||||
17 | An ability to describe, analyze and design digital computing and representation systems. | |||||
18 | An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | |||
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 5 | 3 | 15 |
Quizzes/Studio Critics | 1 | 10 | 10 |
Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 98 |