Mathematics

Category Theory and Applications(MAT409)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT409 Category Theory and Applications 8 5 0 0 3 5
Prerequisites
Admission Requirements
Language of Instruction Turkish
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) Ezgi KANTARCI OĞUZ ezgikantarcioguz@gmail.com (Email)
Assistant
Objective Learning categorical concepts
Content In this class, we will explore categorical concepts together through working on a series of questions. We aim to develop the ideas together.
Course Learning Outcomes Deep understanding of category theory
Teaching and Learning Methods Question-based learning
References -
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 6 60
Contribution of final exam to overall grade 1 40
Toplam 7 100
In-Term Studies
  Number Contribution
Assignments 5 25
Presentation 0 0
Midterm Examinations (including preparation) 1 20
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 1 15
Toplam 7 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools;
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language;
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad.
Activities Number Period Total Workload
Class Hours 13 3 39
Working Hours out of Class 14 2 28
Assignments 5 5 25
Presentation 0 0 0
Midterm Examinations (including preparation) 1 13 13
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 13 13
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 118
Total Workload / 25 4.72
Credits ECTS 5
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