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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

The aim of the course is to give an overview on basic concepts of investment science including fixed income instruments, the classical Markowitz approach for stock portfolio selection and a very short introduction to forwards, futures and options. At the end of the course the students will be able to solve practical investment problems using the above mentioned classical approaches. The software used for the practical calculations is R.


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.


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.