Algorithms and Advanced Programming II(MAT232)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT232 Algorithms and Advanced Programming II 4 3 0 0 3 5
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Muhammed ULUDAĞ (Email)
Objective The purpose of this course is to improve students understanding of algorithm design and analysis by studying algorithms working on more complex data structures.
Course Learning Outcomes When given a problem over a proprietary data structure, students will be able decompose the data structure and computation workflow to known cases and implementations.
When given the description of a new algorithm, students will be able to implement it in a programming language relying on implementation experience gained from this course.
When given a source code, students will be able to identify data structures and algorithms that are implemented in the given source code.
Teaching and Learning Methods lecture, programming home work
References The Art of Computer Programming - Donald Knuth
Data Structures and Algorithms Using Python - Rance D. Necaise
Data Structures and Algorithms with Object-Oriented Design Patterns in Python - Bruno R.Preiss
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 2 40
Contribution of final exam to overall grade 1 60
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 2 40
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 0 0
Toplam 2 40
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; X
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; X
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
Total Workload 0
Total Workload / 25 0,00
Credits ECTS 0
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