Week Subjects Related Preparation
1 Theoretical Background  Chapter 1
2 Convex Sets, Convex Functions. Chapter 2
3 Links Between Geometry and Analysis Chapter 2
4 Generalization of Derivatives Chapter 3
5 Subdifferential Calculus Chapter 3
6 Nonconvex Geometry, Other Generalized Subdifferentials Chapter 3
7 Optimality Conditions: Unconstrained Optimization, Geometrical Constraints  Chapter 4
8 Optimality Conditions: Analytical Constraints Chapter 4
9 Generalized Convexities: Generalized Pseudoconvexity, Generalized Quasiconvexity Chapter 5
10 Relaxed Optimality Conditions Chapter 5
11 Approximations of Subdifferentials Chapter 6
12 Approximations of Subdifferentials Chapter 6
13 Practical Problems Chapter 7
14 SemiAcademic Problems Chapter 8
15 Academic Problems Chapter 9
16 Academic Problems Chapter 9
Semester Requirements Number Percentage of Grade
Attendance/Participation
Laboratory
Application
Field Work
Special Course Internship (Work Placement)
Quizzes/Studio Critics
6
30
Homework Assignments
Presentation/Jury
Project
Seminar/Workshop
Midterms/Oral Exams
6
30
Final/Oral Exam
8
40
Total
20
100
PERCENTAGE OF SEMESTER WORK
60
PERCENTAGE OF FINAL WORK
40
Total 0 100
Course Notes / Textbooks
References Adil Bagirov • Napsu Karmitsa • Marko M. Mäkelä,

Introduction to Nonsmooth Optimization, Theory, Practice and Software, Springer International Publishing Switzerland 2014,  Chapters 1-9,