Course Name Code Semester T+U Hours Credit ECTS
Advanced Mathematical Programing MAT 002 0 3 + 0 3 6
Precondition Courses Students are assumed to be familiar with Abstract Mathematics, Linear Algebra I, II, Analysis I, II, Numerical Analysis, Analysis III, IV, and Number Theory
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. MURAT SARDUVAN
Course Lecturers
Course Assistants Research Assistants at Department of Mathematics
Course Category
Course Objective Some problems encountered in graduate studies with human labor can be solved in a very long time. However, these problems can be solved in a very short time with computer programming. The purpose of this course is to provide information on how to solve certain mathematical problems encountered in graduate studies through computer programming.
Course Content Introduction to the package media, compare and loops, arrays, functions creation, number theory problems, approximate calculations, data exchange with office programs, drawing graphics, creating interface
# Course Learning Outcomes Teaching Methods Assessment Methods
1 He / she sees general concepts about computer programming Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
2 He / she recognizes the package media Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
3 He / she understands the logic of creating an algorithm Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
4 He / she writes a program using loops Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
5 He / she defines and use a function Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
6 He / she converts a created algorithm to codes in Matlab Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
7 He / she solves some problems encountered in some courses at the undergraduate level with the help of computer Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
8 He / she receives the data from the office programs Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
9 He / she receives the output by using office programs Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
10 He / she draws two and three-dimensional graphics functions by using the program Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
11 He / she creates the interface for users Lecture, Question-Answer, Drilland Practice, Motivations to Show, Group Study, Self Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to the package media
2 Defining and assigning a value to a variable, arithmetic and logical operations
3 Loops
4 One-dimensional and multi-dimensional arrays
5 Building functions and using for programming
6 Some number theory problems and their solutions
7 Finding limit, derivative, and integral of a function
8 Some linear algebra problems and their solutions
9 Midterm exam
10 Some numerical analysis problems and their solutions
11 Some numerical analysis problems and their solutions
12 Receiving and saving data from Excel and so on other data files
13 Drawing two and three dimensional graphs
14 Creating interface and programming with it
Resources
Course Notes
Course Resources 1. BURDEN Richard L., FAİRES J. Douglas, Numerical Analysis (9th Edition), Brooks/Cole, Cengage Learning, Boston, MA02210, USA, 2011.
2. DAL Deniz, Matlab ile Programlama, Ekin Yayınevi, Bursa 2011.
3. DEVECİ KARAKOÇ İpek, MATLAB ve İstatistiksel Veri Analizi, Nobel Yayınevi, Ankara 2010.
4. ARİFOĞLU Uğur, MATLAB 7.04 Simulink ve Mühendislik Uygulamaları, Alfa Yayınevi, İstanbul 2005.
5. UYSAL Mithat, MATLAB ile Matematiksel Uygulamalar ve Mühendislik Uygulamaları, Beta Yayınevi, İstanbul 2004.
6. ÇELİK Basri, MAPLE ve MAPLE ile Matematik, Nobel Yayınevi, Ankara 2004.
Order Program Outcomes Level of Contribution
1 2 3 4 5
2 Student follows the current journals in his/her field and puts forward problems. X
3 Student understands the relations between the disciplines pertaining to the undergraduate programs of Mathematics X
4 Student gets new knowledge by relating the already acquired experience and knowledge with the subject-matters out of his/her field. X
5 Student uses different proof methods to come to a solution by analyzing the problems encountered. X
6 Student determines the problems to be solved within his/her field and if necessary takes the lead. X
7 Student conveys, in team work, his/her knowledge in the studies done in different disciplines by applying the dynamics pertaining to his/her own field. X
8 Student critically evaluates the knowledge got at the bachelor´s degree level, makes up the missing knowledge and focuses on the current subject-matters X
9 Student knows a foreign language to communicate orally and in writing and uses the foreign language in a way that he/she can have a command of the Maths terminology and can do a source research. X
10 Student improves himself/herself at a level of expertness in Mathematics or in the fields of application by improving the knowledge got at the bachelor´s degree level. X
11 Student considers the scientific and cultural ethical values in the phases of gathering and conveying data or writing articles. X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 20
Total 20
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Quiz 1 12 12
Assignment 1 15 15
Final examination 1 20 20
Total Workload 158
Total Workload / 25 (Hours) 6.32
dersAKTSKredisi 6