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Yeni MOODLE'a hoş geldiniz.
by Admin User - Tuesday, 4 October 2016, 3:27 PM
 

Senelerdir kullandığımız  moodle.kemerburgaz.edu.tr sitesini MOODLE 3.1.2 versiyonu ile yeniledik.

1 - Artık Moodle için ayrı bir hesap ve parola gerekmiyor. Okul bilgisayarlarına bağlandığınız isim.soyad  ve şifre ile giriş yapabilirsiniz.

2 - Arayüz daha kolay, derslere birçok değişik ek ...

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Available courses

General Chemistry

The Objective: The objective of the course is to equip the students of the political science and public administration to have an administrative perspective towards state or political issues. In this regard, introductory remarks on the theory of public administration will be provided. These introductory remarks will cover the study of fundamental concepts; discuss the main debates of the public administration discipline (politics-administration dichotomy, public administration as an art or science, etc.) and the paradigmatic changes in organizational theory. The skills and the knowledge gained from this course are essential for the forthcoming courses and further and advance studies of the public administration career.

Course Content:

Course content is designed to provide students information on: a) the fundamental concepts and definitions of public administration b) main debates of public administration discipline Evaluation:

The course will be delivered in the lecture format along with the contribution of students in discussion sessions.

Student grading will be based upon:

 Examination (% 100):

o Midterm 1 – 30

o Midterm 2 – 30

o Final Exam – 40

 Attendance (Extra %10): Students who attends more than % 50 of the lectures (6 lectures) will get an extra grading between 6 – 10 based on their attendance percentage

Make-up Exam:

Medical report is required to take the make-up exam.

Code of Conduct: - Students are highly recommended to not to use cell phones, smartphones, and other electronic devices during the class.

- Cheating or cheating attempts will be punished severely. Students are expected to do original work for all course assignments, including exams. - Students are not allowed to arrive and exist during the sessions; since it is so distracting and please be in the class on time and to stay for the entire class period.

Ulaştırma problemi ve türevleri; ağ problemleri; tam sayılı programlama (IP); doğrusal olmayan programlama (NLP): tek değişkenli eniyileme, dışbükeylik, kısıtlı ve kısıtsız çok değişkenli eniyileme, Karush-Kuhn-Tucker en iyi olma koşulları, varlık (existence) ve teklik (uniqueness) teoremleri, küresel (global) ve yerel (local) en iyi olma, direkt arama (direct search) ve eğim (gradient) yöntemleri; dinamik programlama (DP) ve Markov karar süreçleri (MDP); hedef programlama ve çok-kriterli eniyileme. Önkoşul: EM 511

The aim of the course is that the students become capable of using statistical techniques in practice. Computer implementations using the statistical programming language R will be covered.

Transportation model and its variants; network models; integer programming (IP); nonlinear programming (NLP): optimization in one variable, convexity, unconstrained and constrained optimization in many variables, Karush-Kuhn-Tucker optimality conditions, existence and uniqueness theorems, global and local optima, direct search and gradient methods; dynamic programming (DP) and Markov decision processes (MDP); goal programming (GP) and multi-objective optimization. Prerequisite: IE 211.

Stochastic inventory models, risk pooling, multi-echelon inventory models, value of information in supply chains, bullwhip effect, logistics network configuration, distribution strategies, centralized vs. decentralized control, supply chain contracts, strategic alliances. Prerequisite: IE 211.


The aim of the course is to provide students with a sound understanding of the principles, basic concepts, and the methodology of the systematic evaluation of different investment alternatives. For computer applications, Excel will be used.


The aim of the course is that the students become capable of using statistical forecasting techniques in practice. So, we will use the statistical software R.

Aim of the course: Understanding the main concepts and the numerical methods of portfolio risk analysis and option pricing. The software used for the practical calculations is “R”.