Update

README.md

@@ -9,26 +9,26 @@
 
 # All Courses #
 
-**Courses On [Open-Course-Ware (recording completed)](http://www.youtube.com/fcihocw):**
+**Courses now available on [Arabsera](http://www.arabsera.org):**
 
-*   [MA 112: Discrete Mathematics I (logic, basics, and foundations)](DiscreteMathematics)
-*   [CS 214: Data Structures](DataStructures)
-*   [ST 121: Probability](Probability)
+*   Discrete Mathematics, Part I (logic, basics, and foundations)
+*   Digital Design
+*   Data Science I: metro-rider snapshots of 15-course field
+*   Data Science II (Machine Learning)
+*   Data Structures in C
+*   Probability
 
-**Courses On [Open-Course-Ware (still recording)](http://www.youtube.com/fcihocw):**
+**Courses on [Arabsera's Youtube Channel (still recording)](http://www.youtube.com/fcihocw):**
 
-*   [ST 122: Statistics](Statistics)
-*   [MA 214: Linear Algebra](LinearAlgebra)
-*   [CS 221: Digital Design](DigitalDesign)
-*   [CS 495: Data Visualization](DataVisualization)
-*   [CS 395: Data Science I: metro-rider snapshots of 15-course field](DataScience)
-*   [CS 396: Data Science II (Pattern Recognition)](PatternRecognition)
-*   [CS 395: Optimization](Optimization)
+*   [Statistics](Statistics)
+*   [Linear Algebra](LinearAlgebra)
+*   [Data Visualization](DataVisualization)
+*   [Optimization](Optimization)
 
 **Other Courses:** (not recorded yet)
 
-*   [IT 441 (Digital Image Processing)](ImageProcessing)
-*   [CS 251 (Software Engineering I)](SoftwareEngineeringI)
+*   [Digital Image Processing](ImageProcessing)
+*   [Software Engineering I](SoftwareEngineeringI)
 
 
 # Citation #
@@ -43,26 +43,3 @@ Please, use the following citation when you use my lecture notes:
   doi =          {10.5281/zenodo.1234}
 }
 ```
-
-
-<!-- ## Call for Graduation Projects, Fall 2019 (coming soon ISA) -->
-
-<!-- For interested students in my graduation projects of 2016-2017, this is a list of the projects I am -->
-<!-- going to supervise along with a list of [suggested readings](GP) -->
-
-
-<!-- **1- CAD: Computer Aided Detection of breast cancer using Deep Learning** -->
-
-<!-- The objective is to leverage the new "deep learning" approach of pattern recognition to -->
-<!-- enhance the accuracy of the detection algorithms of breast cancer. The prerequisites courses -->
-<!-- for joining this project are: probability, pattern recognition, and image processing. To know -->
-<!-- about one of the CAD systems visits [LIBCAD](http://libcad.mesclabs.com). -->
-
-<!-- **2- DV: Building a Grammar of Graphics for Data Visualization** -->
-
-<!-- This is a continuation on 2 previous graduation projects (2015 and 2016). To know about data -->
-<!-- visualization read (Chen, H{a}rdle, Unwin - 2008 - Handbook of data visualization). To know -->
-<!-- one of the interactive data visualization systems visit, -->
-<!-- e.g., [DVP](http://dvp.mesclabs.com). It is intended to continue on -->
-<!-- the graduation project of this year (2106) to build a complete Grammar of Graphics data -->
-<!-- visualization system (Wilkinson et al. - 2006 - The Grammar of Graphics). -->