CV
Full Name: AHMED KAMIL MOHAMMED NOUR
Marital Status: Married.
Nationality: Sudanese.
Current Address: King Saud University, Deanship of Admission & Registration, P.O. Box 5733, Riyadh 11432.
Phone: +9665114678098.
E- mail:       a.kmno34@gmail.com  –   anour@ksu.edu.sa
Education: 
-         2009-2011 Master Science of Computer Science (MsCCs) , SIKKIM MANIPAL University, INDIA.
-         1996-2001 BSc in Statistics & Computer Science (Honors) AlGazira University, SUDAN.

Teaching Experience

University of Science & Technology, SUDAN

Know your desktop.
Logic Building with C.
Database Programming.
Building Websites with HTML/DHTML and JavaScript.
Java Programming.
Advanced Java Programming.
Windows 2000 Server Networking.
Pascal Programming.
Data Structure Using Pascal Programming.

King Saud University
Saudi Arabia

Operating System.
Introduction to Computer.
Algorithms & Programming.
Computer Programming (C language).
C++ & Data Structure.
++OOPs Using C.
Internet Programming.
Digital System, Computer Organization & Architecture.
Discrete Mathematics.
Basic Web Development of the Internet, HTML, DHTML, Style Sheets, & Basic of Multimedia.
Financial management & Accounting.
Server Side Programming with PHP.
Server Side Programming with ASP.Net.
Digital Logic Design.
Java Programming.
Advanced Java Programming.
Visual Basic Programming.
.NET Programming.
Database Management System- DBMS & Oracle 9i.
Data Structure Using C Programming.
System Analysis & Design -SAD.
Operating System with UNIX.
Software Engineering.
Computer Graphics.
System Programming.
++Statistical and Numerical Methods Using C.
Computer Networks.
Management and Information Systems.
Advanced Database System.
Java Programming.
 Computer-Based Optimization Methods -Statistics/ Applied Operating Research.
Analysis & Design of Algorithms.
Data Analysis Using SPSS.

 SKILLS:
o   Operating Systems: (DOS, WIN. Family, Linux).
o   Programming language: (C &C++, VB6, HTML/DHTML, JavaScript, ASP, PHP, JAVA, VB.Net, C#).
o   RDBMS: (MS Access, SQL Server, ORACLE, MySQL).
o   Analysis Data Manually or Using SPSS for :
o   Quantitative and Qualitative Data.
o   All Methods of Data Collection.
o   Measure of Center.
o   Measures of dispersion.
o   Displaying Data.
o   Discreet Distributions.
o   Continues Distribution.
o   Testing Hypothesis.
o   Approximations of Distributions.
o   Multivariate Data Analysis.
o   Sampling Distribution and Central.
o   Confidence  Intervals.
o   Comparing Two or More Population Means.
o   Proportions of Variance.
o   Relationships between Variables.
o   Linear and Multiple Regression.
​o   ANOVA.

o   Statistical Models and Time Series analysis.
o   Analysis for Big Data.
o   Statistical Methods for Strategic Studies.  

PUPLICATION:

الخلاصة في الحاسب الآلي والانترنت، مركز المنهاج للإشراف التربوي، 1436هـ، الرياض.