Mathematics

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
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) HAKAN AYRAL hayral@gmail.com (Email)
Assistant
Objective Programming with complex data types to construct non-linear data structures like trees and graphs.
Content Linked list
Depth-first search ,
Breadth-First Search
Binary search tree
Object oriented programming, Inheritance
Course Learning Outcomes 1.Ability to write code that can reproduce given output/solve given problem
2.Ability to analyze given code and predict the output
Teaching and Learning Methods 1.Writing code to reproduce given output/solve given problem
2.Predicting the behavior and output of given code
References Art of Computer Programming, Donald Knuth
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 1 40
Contribution of final exam to overall grade 1 60
Toplam 2 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 0 0
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 0 0
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. X
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 3 42
Assignments 14 1 14
Midterm Examinations (including preparation) 1 10 10
Final Examinations (including preparation) 1 20 20
Total Workload 128
Total Workload / 25 5,12
Credits ECTS 5
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