CURRICULUM OF BUSINESS ADMINISTRATION FOR BBA, BBS, MBA & MS HIG HER EDUC ATIO N CO MM ISSION (2012) HIGHER EDUCATION COMMISSION ISLAMABAD 1 CURRICULUM DIVISION, HEC Prof. Dr. Syed Sohail H. Naqvi Mr. Muhammad Javed Khan Malik Arshad Mahmood Dr. M. Tahir Ali Shah Mr. Farrukh Raza Mr. Abdul Fatah Bhatti Executive Director Adviser (Academics) Director (Curri) Deputy Director (Curri) Asstt. Director (Curri) Asstt. Director (Curri) Composed by: Mr. Zulfiqar Ali, HEC, Islamabad
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John Paul G. Cordova ME2-1 “Today’s Computers: How Did They Evolve?” I. Introduction A. Background of the Topic - The topic, entitled “Today’s Computers: How Did They Evolve?”, just like the life of a person, also has its own backgrounds, from the simplest form to its complex form. In other words, computers of today have their own histories. As I continue this term paper, you will be discovering the history behind the evolution of computers.
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Introduction TSP (Travelling salesman problem) is an optimization problem that it is difficult to solve using classical methods. Different Genetic Algorithm (GA) have been right to solve the TSP each with advantages and disadvantages (Davis, 2005) In this research paper, I highlight a new algorithm by merging different genetic Algorithm results to the better solution for TSP. In amalgam algorithm, appropriateness of algorithm and traveled distance for TSP has been considered. Results obtained suggest
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Assembly Language Programming Lecture Notes Delivered by Belal Hashmi Compiled by Junaid Haroon Preface Assembly language programming develops a very basic and low level understanding of the computer. In higher level languages there is a distance between the computer and the programmer. This is because higher level languages are designed to be closer and friendlier to the programmer, thereby creating distance with the machine. This distance is covered by translators called compilers
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XLRI BM 2011-13 GROUP 4B ORM-II Project Report “Appetite Restaurant”, JK Residency Group 4 – Section B Name Vrajesh Shah Manik Raina Chinmay Kamat Ankit Jain Ajay Rajan Roll Number B11121 B11090 B11075 B11069 B11065 This project report has been submitted for the fulfillment of Operations Management – II course under the guidance of Prof. Trishit Bandyopadhyay. We thank Mr. Amiya Paul, Captain, F&B (Services), Appetite Restaurant for
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Strategic Planning of BMW's Global Production Network Author(s): Bernhard Fleischmann, Sonja Ferber and Peter Henrich Source: Interfaces, Vol. 36, No. 3 (May - Jun., 2006), pp. 194-208 Published by: INFORMS Stable URL: http://www.jstor.org/stable/20141389 . Accessed: 23/12/2013 16:01 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars
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particular, to provide information relevant to the decision. 3. A decision model is a simplified representation of the choice problem. Unnecessary details are stripped away, and the most important elements of the problem are highlighted. 4. A quantitative analysis is expressed in numerical terms. A qualitative analysis focuses on the factors in a decision problem that cannot be expressed effectively in numerical terms. 5. The result of a quantitative analysis is that one alternative
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CS301 – Data Structures ___________________________________________________________________ Data Structures 1 CS301 – Data Structures ___________________________________________________________________ Data Structures..........................................................................................................1 Lecture No. 01 ............................................................................................................3 Lecture No. 02 .........................
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TWO PAPERS IN SUPPLY CHAIN DESIGN: SUPPLY CHAIN CONFIGURATION AND PART SELECTION IN MULTIGENERATION PRODUCTS by Sean Peter Willems B.S.E. Economics Wharton School, University of Pennsylvania, 1993 S.M. Operations Research Massachusetts Institute of Technology, 1996 Submitted to the Alfred P. Sloan School of Management in partial fulfillment of the requirement for the degree of Doctor of Philosophy in Management at the Massachusetts Institute of Technology February 1999 Copyright © Massachusetts
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Management Science Summary Definitions by Subject Game theory * Nash equilibrium * In game theory, the Nash equilibrium is a solution concept of a non-cooperative game involving two or more players, in which each player is assumed to know the equilibrium strategies of the other players, and no player has anything to gain by changing only their own strategy. If each player has chosen a strategy and no player can benefit by changing strategies while the other players keep theirs unchanged
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