ASSESSMENT التقييم

Assessment Due Date and Time Weighting
Participation in class workshops and in the Discussion Board in the University’s Portal, Blackboard. N/A 10%
Mid-Term Test1 Wednesday, 29th October 2014 10%
Project Submission Deadline Wednesday, 26th Nov 2014 10%
Mid-Term Test2 Wednesday, 26th Nov 2014 10%

DISTRIBUTION OF SYLLABUS توزيع المنهج

Week Date Activity/ content
1 31 Aug-4 Sep Orientation week: Introduction to Translation II course content, including the Course Profile. Using the thesaurus.
2 7-11 Sept Introduction to translation and dictionary use. Translation workshop & discussion on Chapter 4 (Robinson 2007). Assignment 1 Due.
3 14-18 Sept
أهلاً بك في موقعي الشخصي..

General Physics 104

Electricity and Magnetism: Coulomb’s law, electric fields, Gauss’ Law, electric potential, potential energy, capacitance and dielectric, currents and resistance, Ohm's law, electrical energy and power, direct current circuits, Kirchhoff's rules, magnetic fields, motion of charged particle in a magnetic field, sources of the magnetic field, Ampere’s law, Faraday’s law of induction, self inductance, energy in a magnetic field, mutual inductance, alternating current circuits, the RLC series circuit, power in an A.C. circuit, resonance in RLC series circuit.

ملحقات المادة الدراسية

المحاضرات

هنا تجد الطالبة المحاضرات بعد مراجعتها واعتمادها من قبل أستاذة المقرر.
كما تجدين خطة توزيع جمع المحاضرات على الطالبات

خطة المقرر

هنا تجدين خطة تقسيم مفردات المقرر على الأسابيع خلال الفصل الراسي.

612سلم التفسير التحليلي

بسم الله الرحمن الرحمن الرحيم يتضمن هذا الرابط ما يهم الطالبة في مقرر التفسير التحليلي

ملحقات المادة الدراسية

Arabic blogging Sentiment Analysis

Today, microblogging has become the most popular communication tool among users of social networks. Many users share their opinions on different fields, and those users speak different languages, are of different ages and education levels, and the like. Consequently, opinion mining has become an interesting area of research. Arabic is one of the most used languages in the world. In this paper, we build a machine learning-based sentiment analysis system for mining and analyzing the Arabic tweets in social networks to determine positive and negative sentiments.

الصفحات

اشترك ب KSU Faculty آر.إس.إس