Semester Requirements Number Percentage of Grade
Attendance/Participation
1
5
Laboratory
Application
Field Work
Special Course Internship (Work Placement)
Quizzes/Studio Critics
6
30
Homework Assignments
4
20
Presentation/Jury
Project
3
15
Seminar/Workshop
Midterms/Oral Exams
3
15
Final/Oral Exam
3
15
Total
20
100
PERCENTAGE OF SEMESTER WORK
60
PERCENTAGE OF FINAL WORK
40
Total 0 100
Course Notes / Textbooks Criculum of the Cours,  Slides (Tanks to Prof. L. Vandenberghe, for his slides),
References
Convex Optimization - Boyd and Vandenberghe, Cambridge University Press, 2004
Download the book from here. More sources here.
Week Subjects Related Preparation
1 Background Chapter 1- Pages 1-14
2 Inequality Constraints-Optimality Conditions Chapter 2- Pages 15-30
3 Inequality Constraints –  Theorems of the Alternative, Max-functions Chapter 2- Pages 15-30
4 Subgradients and Convex Functions Chapter 3- Pages 33-42
5 The Value Function Chapter 3- Pages 33-49
6 The Fenchel Conjugate Chapter 3- Pages 49-64
7 Continuity of Convex Functions Chapter 4- Pages 65-75
8 Fenchel Biconjugation Chapter 4- Pages 76-87
9 Lagrangian Duality Chapter 4- Pages 88-96
10 Polyhedral Convex Sets and Functions Chapter 5- Pages 97-103
11 Functions of Eigenvalues Chapter 5- Pages 104-109
12 Duality for Linea r and Semidefinite Programming Chapter 5- Pages 109-113
13 Convex Process Duality Chapter 5- Pages 114-122
14 Generalized Derivatives Chapter 6- Pages 123-129
15 Regularity and Strict Differentiability Chapter 6- Pages 130-136
16 Tangent Cones and The Limiting Subdifferential Chapter 6- Pages 137-150