FACULTY OF ENGINEERING

Department of Food Engineering

GEAR 302 | Course Introduction and Application Information

Course Name
World Museums
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GEAR 302
Fall/Spring
3
0
3
6

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Q&A
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to introduce examples of different forms of cultural and artistic expressions in museums.
Learning Outcomes The students who succeeded in this course;
  • will be able to discuss the cultural and artistic development of human history in the context of museums.
  • will be able to define different museums with aesthetic sensitivity.
  • will be able to classify museums regarding their purpose.
  • will be able to classify different art objects.
  • will be able to compare museums in different countries.
Course Description This course provides information about the museums established for different purposes.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to the course. Overview of the Course Syllabus (Assignments, Midterm, Presentations).
2 Introduction to the Four Legs of a Museum Visit: Visitor, Artwork, Artist, Museum.
3 Formal and Contextual Analysis. Slow Looking Techniques. Prehistoric Art. Paleolithic &Neolithic Art. Museums: Lascaux Cave Museum, France. Naturhistorisches Museum, Vienna. Anatolian Civilizations Museum, Ankara Kleiner, Introduction, pp.1-14. Kleiner, Chp.1. Please check Blackboard for additional reading material on Slow Looking and Visual Fundementals.
4 Egyptian Art. Museums: The Egyptian Museum, Cairo. Metropolitan Museum of Art, New York. The Ancient Near Eastern Art. Museums: Louvre Museum, Paris. Kleiner, Chp. 2. Kleiner, Chp. 3.
5 Greek Art. Hellenistic Art. Roman Art. Byzantine Art. Museums: National Archaeological Museum, Athens. Pergamon Museum, Berlin, Vatican Museum, Italy. The Getty Villa, USA. Kleiner, Chp. 5. Kleiner, Chp. 10 Kleiner, Chp. 12
6 Renaissance, Mannerism, Baroque, Rococo Periods. Museums: Uffizi Gallery, Florence. Borghese Gallery, Italy. Galleria dell’Academia. Kleiner, Chp. 21 & 22. (For Rococo; pls check Chp. 29)
7 Neoclassicism. Romanticism. Realism. Museums: Tate Gallery, London. Boston, Museum of Fine Arts, USA. Kunsthistorisches Museum, Vienna. * Short Essay submission on Blackboard on the day of Lecture. Kleiner, Chp. 29 & 30.
8 Impressionism. Post-Impressionism. Museums: Orsay Museum, Paris. Musée Rodin, Paris. Amsterdam Van Gogh Museum. Musée de L’Orangerie, Paris. * Artist choice for the Presentation is finalized on Google Doc. Kleiner, Chp. 31.
9 Fauvism. Cubism. Museums: Museum Of Modern Art (MoMA), New York. Picasso Museum, Paris. * Museum of Modern Art Documentary. Kleiner, Chp. 35.
10 Dadaism. Surrealism. Museums: Baltimore Museum of Art, USA The Art Institute of Chicago, USA. Yale Art Gallery, USA. Kleiner, Chp. 35.
11 Abstract Expressionism. Pop Art. Contemporary Art. Museums: Fondation Louis Vuitton, Paris. Guggenheim Museum, Bilbao, Spain. Kleiner, Chp. 36.
12 Midterm. * Submission of Presentations on Blackboard.
13 Student Presentations (1)
14 Student Presentations (2)
15 Semester Review
16 Semester Review

 

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
25
Presentation / Jury
1
35
Project
Seminar / Workshop
Oral Exams
Midterm
1
40
Final Exam
Total

Weighting of Semester Activities on the Final Grade
3
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
30
30
Presentation / Jury
1
30
30
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
0
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Being able to transfer knowledge and skills acquired in mathematics and science into engineering,
2 Being able to identify and solve problem areas related to Food Engineering,
3 Being able to design projects and production systems related to Food Engineering, gather data, analyze them and utilize their outcomes in practice,
4

Having the necessary skills to develop and use novel technologies and equipment in the field of food engineering,

5

Being able to take part actively in team work, express his/her ideas freely, make efficient decisions as well as working individually,

6

Being able to follow universal developments and innovations, improve himself/herself continuously and have an awareness to enhance the quality,

7

Having professional and ethical awareness,

8 Being aware of universal issues such as environment, health, occupational safety in solving problems related to Food Engineering,
9

Being able to apply entrepreneurship, innovativeness and sustainability in the profession,

10

Being able to use software programs in Food Engineering and have the necessary knowledge and skills to use information and communication technologies that may be encountered in practice (European Computer Driving License, Advanced Level),

11

Being able to gather information about food engineering and communicate with colleagues using a foreign language ("European Language Portfolio Global Scale", Level B1)

12

Being able to speak a second foreign language at intermediate level.

13

Being able to relate the knowledge accumulated during the history of humanity to the field of expertise

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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