ÇáÓáÇã Úáíßã
æÌÏÊ åÐÇ ÇáãæÞÚ ÇËäÇÁ ÇÈÍÇÑí Úáì ÇáäÊ - ßáíÉ ÇáåäÏÓÉ - ÌÇãÚÉ ÓÊÇäÝæÑÏ ( íÞÇá ÇäåÇ ÇÝÖá ÌÇãÚÉ Ýí ÇãÑíßÇ Ýí ãÌÇá ÊÞäíÉ ÇáãÚáæãÇÊ)
http://see.stanford....ee/courses.aspx
ÇÚÌÈäí ØÑíÞÉ ÊÑÊíÈåã ááãæÖæÚ ÈÍíË íãßäß ÇáÊÍãíá ãä ÇßËÑ ãä ÓíÑÝÑ ÈÇáÇÖÇÝÉ Çáì ÊæÑäÊ ÓÑíÚ ÌÏÇ.
áßá ãæÖæÚ íãßäß ÊÍãíá ãÍÇÖÑÉ ÇáÝíÏíæ ãÚ äÕ ÇáãÍÇÖÑÉ ( ááí ãÔ ÚÇÑÝ íáÍÞ Úáì ÇáßáÇã ãËá ÍÇáÊí ) ÈÇáÇÖÇÝÉ Çáì ÇáÊãÇÑíä æÇáÇÎÊÈÇÑÇÊ ÇáãÍáæáÉ æ ãáÝÇÊ ÇáãÍÇÖÑå pdf .
ÇáãÍÇÖÑÇÊ ÊÛØí ãæÇÖíÚ ÇáÈÑãÌå æ ÊÚáíã ÇáÇáå æãÚÇáÌÉ ÇááÛÇÊ ÇáØÈíÚíå æÛíÑåÇ .
Introduction to Computer Science:
Programming Methodology CS106A
Programming Abstractions CS106B
Programming Paradigms CS107

Artificial Intelligence:
Introduction to Robotics CS223A
Natural Language Processing CS224N
Machine Learning CS229

Linear Systems and Optimization:
The Fourier Transform and its Applications EE261
Introduction to Linear Dynamical Systems EE263
Convex Optimization I EE364A
Convex Optimization II EE364B

áÇ ÊäÓæäí ãä ÇáÏÚÇÁ