Search results: 1881
Conceptual definitions and terminologies for understanding the theory of conservation. Historical approaches towards developing the theory of conservation. Basic concepts in architectural field. Types of cultural and historic heritage; architectural buildings, archaeological sites, historic area (historic urban quarter and village core). Contemporary international regulations; accepted principles, charters and declarations. The importance of recording and documentation. Conservation and the unity of style; destruction for the sake of restoration and the anti-restoration theory. Analytical approach towards the structures and the original materials. Authenticity, changing criteria and concept of authenticity in architectural conservation; adaptive re-use of the traditional buildings with emphasis on predetermined revitalization approaches. Conservation, revitalization and design in historic environment (urban conservation). Encouragement of public participation. Course complies with ARCH 532 Theory of Conservation.
- Teacher: Zehra Alpler
- Teacher: Elif Binboga
- Teacher: Francine Kafwata
- Teacher: Junior Tshitembo
THIS COURSE AIMS TO HELP INDUSTRIAL ENGINEERING STUDENTS TO UNDERSTAND FUNDAMENTAL CONCEPT OF PROBABILITY THEORY AND GAIN THE ABILITY TO USE METHODS OF THE DISCIPLINE. THE MAIN CONTENT INCLUDES INTRODUCING THE PROBABILITY THEORY - GIVING PRIORITY TO RANDOM VARIABLES RELATED TO UNCERTAIN EVENTS; ENSURING THAT STUDENTS HAVE A DEEP UNDERSTANDING OF PROBABILITY DISTRIBUTIONS AND THEIR IMPLICATIONS IN INDUSTRIAL ENGINEERING; HELPING THE STUDENTS TO USE PROBABILITY THEORY TO BUILD AND ANALYZE INDUSTRIAL ENGINEERING MODELS/PROBLEMS ENCOUNTERED IN REAL LIFE, ESPECIALLY FOR THE PROBLEMS INCLUDING UNCERTAINTY.
- Teacher: Elif Binboga
Advanced simulation modeling-concept in process interaction orientation. Modeling of Manufacturing Systems, Station Submodels, Dynamic/Static simulation, Mixed Simulation Models is included. Introductory output analysis, comparison of alternatives and/or experimentation are discussed. Mainly Rockwell Arena and Microsoft Excel is helpful for applications (depending on what type of simulation is on the table.
- Teacher: Elif Binboga
The aim of this course is to improve the skills of students in modeling and solving real life problems in the mathematical programming and optimization. Both deterministic and stochastic models are considered. The course objective is to study the mathematical programming techniques ,to develop various and complex models on the real-world situations, to give an invaluable skill that will help students in other courses and in the workplace.
- Teacher: Ayse Tuncbilek