POV4218 Juxtaposition-Mixed ImagesBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
POV4218 Juxtaposition-Mixed Images Spring 3 0 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery:
Course Coordinator : Dr. Öğr. Üyesi TOLGA HEPDİNÇLER
Recommended Optional Program Components: None
Course Objectives:

Learning Outcomes

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Orientation and Course lecture on Aims and Goals Screening: Wim Wenders “Himmel uber Berlin” and discussion
2) Deconstructing Berlin as an artistic subject matter : Historical and Social chage and its effects on artistic production
3) German Dada and Expressionism in Berlin
4) Visit to Neu Naional Galerie: Discovering German Bauhaus and contemporary art.
5) German art from WWII to the fall of wall : Subject matters, genres and artistic juxtapositions
6) New German Artistic and Visual Experience after reunification Homework: Analyze and germen artist within his/her biographical/formal and iconographıc context. Homework: Analyze a german artist within his/her biographical/formal and iconographıc context.
7) Visit to Hamburger Bahnhof Museum: Exploring the limits of contemporary art and German conceptual artists
8) Proposals for the artistic projects. Evaluation and feedbacks on the proposed projects.
9) Early German Photography and contemporary photographic experiences since 1960s.

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Homework Assignments 1 % 30
Midterms 1 % 20
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 3 12 36
Presentations / Seminar 1 10 10
Homework Assignments 1 9 9
Midterms 1 10 10
Final 1 12 12
Total Workload 119

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.