Skip site news

Site news

Muath Hussain
تعليمات القاعات الامتحانية
by Mauth Hussain - Wednesday, 8 April 2015, 3:43 PM
 

تعليمات القاعات الامتحانية

أحكام تمهيدية

المادة (1)       :  تسمى هذه اللائحة "بلائحة تعليمات القاعات الإمتحانية " في جامعة العلوم التطبيقية.

المادة (2)        :     تسرى أحكام هذه اللائحة على طلبة جامعة العلوم التطبيقية.

المادة (3)        :     يكون للكلمات والعبارات التالية حيثما وردت في هذه اللائحة، المعنى المدون قرين كل منها :

اللائحة                               :     لائحة تعليمات القاعات الإمتحانية في جامعة العلوم التطبيقية.

الجامعة                              :     جامعة العلوم التطبيقية.

مجلس الجامعة                     :     مجلس جامعة العلوم التطبيقية.

مجلس الكلية :                     مجلس الكلية المعنية.

مجلس القسم :                     مجلس القسم المعني.

الرئيس                               :     رئيس جامعة العلوم التطبيقية.

نائب الرئيس :                     نائب رئيس الجامعة للشؤون الاكاديمية  والتطوير.

العميـد                                :     عميد الكلية المعني ومن في حكمه.

رئيس القسم                        :     رئيس القسم المعني، ومن في حكمه.

التعليمات

المادة ...

Read the rest of this topic
(777 words)
 
Picture of MUSAAB ABDULRAZZAQ ASWAD
Course Evaluation Survey
by MUSAAB ABDULRAZZAQ ASWAD - Wednesday, 8 April 2015, 3:17 PM
 
أعزاءنا الطلبة...
يرجى البدئ بتعبئة الاستبيان الخاص بك قبل نهاية الامتحانات النهائية و الذي يوضح مدى رضاك عن المقررات التي درستها هذا الفصل و الخدمات المقدمة من قبل الجامعة.
نحيطكم علماً بان جميع البيانات سرية لذا نرجى من حضرتكم الشفافية و الدقة في التقييم.
يمكنك تعبئة الاستبيان عن طريق جميع قنوات الجامعة الالكترونية (نظام التعليم الالكتروني e-learning ، نظام معلومات الطلبةSIS و مواقع التواصل الاجتماعي(، او الدخول المباشر على الرابط التالي:
http://survey.asu.edu.bh
ملاحظة/ يجب استعمال رقمك الجامعي و كلمه المرور نفسها المستخدمة في نظام معلومات الطلبة SIS.
 

Skip available courses

Available courses

This course provides a solid base in Software Engineering (S/E), student will learn principles of S/E, evolving roles of software, Software process, software product, process models and advanced  models, requirements Engineering: gathering, modeling and analysis.  

This course provides an introduction to the concepts and applications of quantitative methods in management. It develops mathematical and statistical competence necessary to facilitate progression in courses such as Operations Management and Business Decision Making. This course builds on the concepts and analytical tools taught in Principle of Statistics. This course focuses on developing quantitative methods, such as, linear programming, sensitivity and duality theory, transportation and assignment problems, network and queuing theory in addition to waiting line, game theory and simulation.

This course covers an introduction to concepts, tools, techniques and methods of statistics. The concepts, which are commonly used in business disciplines and act as thresholds for advanced courses of statistics, include data managing techniques, descriptive tools, and inferential statistics and provide with an introductory survey of many applications of descriptive and inferential statistics

This course covers an introduction to concepts, tools, techniques and methods of statistics. The concepts, which are commonly used in business disciplines and act as thresholds for advanced courses of statistics, include data managing techniques, descriptive tools, and inferential statistics and provide with an introductory survey of many applications of descriptive and inferential statistics

يتناول المقرر بالشرح أركان جرائم  الرشوة والاختلاس واستغلال النفوذ والتزوير والسرقة والاحتيال وخيانة الأمانة، والجرائم الملحقة بهم، وبيان عقوبة كل منها، والظروف المشددة والمخففة لها

يتناول المقرر بالشرح أركان جرائم  الرشوة والاختلاس واستغلال النفوذ والتزوير والسرقة والاحتيال وخيانة الأمانة، والجرائم الملحقة بهم، وبيان عقوبة كل منها، والظروف المشددة والمخففة لها

Statistics Deals with all aspects of the collection, processing, presentation, and interpretation of measurements or observations, that is, with all of aspects of the handling of data. Thus, data constitutes the raw material we deal with statistics, and its collection is of major concern in any statistical investigation. For statistics you need some familiarity with abstract mathematical concepts and yet enough common sense to see how to use those ideas in real life applications. The concepts needed for probability and for statistical inference are hard to absorb by just reading them in book. You need to read, then think a little then try some problems and then read and think some more . This procedure should be repeated until the problems are easy to do. The main contents of this course are an introduction to concepts, tools, techniques and methods of statistics. The concepts, which are commonly used in business disciplines and act as thresholds for advanced courses of statistics, include data managing techniques, descriptive tools, and inferential statistics and provide with an introductory survey of many applications of descriptive and inferential statistics

Topics include: The origin of Operation Research (O.R.), its nature, and impact. Overview of

O.R. modelling approach; define, formulating a mathematical model, deriving the solutions and

testing the model are described and demonstrated. Linear programming; models, assumptions,

formulating and solving linear programming model, graphical LP solution, the simplex method,

LP in equation form, iterative nature of the simplex method, transformation model, and the

Hungarian method are given in details. In addition, other models including queuing theory, stock

control models (Inventory) and project management (Network models) (CPM and PERT

Technique) are described. Some applications of these models are given.

Topics includes: object-oriented programming concepts, constructs, and characteristics.  Students will learn, ADT, information hiding, constructors, destructors, friend function and friend class, array of objects, manipulating object via its address,   inheritance and polymorphism.  

Topics include: Microcomputer organization , microprocessor unites ,Registers (A,PC,IP,BC,DE,HL),Data Bus, address bus, control bus, I/O ports, 8085 Assembly programming instruction: I/O , Arithmetic , Looping and branching. 

Topics includes: Number system, basic rule of algebra, properties of negation, fractions, real numbers, linear equations, and quadratic functions.

The course is designed to provide student with the opportunity to gain experience in workplace setting and to translate classroom learning into practice.  It focuses on reinforcing students practical and transferrable skills where further industry knowledge and skills necessary for professional advancement are acquired and developed.  This course enables them to function well in a culturally diverse working environment.

Additionally, it helps students reflect on the skills they are learning and the benefits gained from the internship experience.