Course Name Code Semester T+U Hours Credit ECTS
Advanced Computer Programming MAT 511 0 3 + 0 3 6
Precondition Courses <p>Introduction to computer</p>
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. MURAT SARDUVAN
Course Lecturers
Course Assistants
Course Category Field Proper Education
Course Objective

To solve mathematical problems using basic computer programming.

Course Content

Character-based computer programming (C++), Commands and variables, Block structure, Sub programs, Arrays, Operations with arrays, Series, Operations with series, Matrices, Operations with matrices, Problems in mathematical analysis, Problems in number theory, Problems in numerical analysis, Problems in linear algebra

# Course Learning Outcomes Teaching Methods Assessment Methods
1 He/she recognizes C++ environment in general. Lecture, Drilland Practice, Motivations to Show, Problem Solving, Testing, Homework,
2 He/she learns the commands and operations. Lecture, Drilland Practice, Motivations to Show, Problem Solving, Testing, Homework,
3 He/she learns variable and variable types. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Brain Storming, Case Study, Lab / Workshop, Problem Solving, Testing, Homework, Project / Design, Performance Task,
4 He/she examines and learns the block structures. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Lab / Workshop, Problem Solving, Project Based Learning, Testing, Homework, Project / Design, Performance Task,
5 He/she learns the structure of sub-programs and subroutines. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Brain Storming, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Project / Design, Performance Task,
6 He/she learns loops and loop structures. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Project / Design, Performance Task,
7 He/she learns to process arrays and arrays. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Project / Design, Performance Task,
8 He/she learns the logic of sequencing in a arrays. Lecture, Question-Answer, Discussion, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Project / Design, Performance Task,
9 He/she learns series and the series processes. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Project Based Learning, Homework, Performance Task,
10 He/she learns multi-dimensional arrays. Lecture, Question-Answer, Discussion, Drilland Practice, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Performance Task,
11 He/she solve mathematical analysis problems. Lecture, Question-Answer, Discussion, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Performance Task,
12 He/she solve number theory problems. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Performance Task,
13 He/she solve numerical analysis problems. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Performance Task,
14 He/she solve linear algebra problems. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Lab / Workshop, Self Study, Problem Solving, Testing, Homework, Performance Task,
Week Course Topics Preliminary Preparation
1 Recognizing C ++ environment
2 Some commands and to define a variable
3 Comparative structures
4 Loop structures
5 Making subprogram and usage of it
6 Arrays and operations with arrays
7 Arrays, operations with arrays, and sorting of arrays
8 Series, operations with series
9 Multi-dimensional arrays, matrices
10 Matrix operations and matrix applications
11 Mathematical analysis applications
12 Applications of numbers theory
13 Applications of numerical analysis
14 Applications of lineer algebra
Resources
Course Notes
Course Resources

VATANSEVER Fahri, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin Yayınevi, Ankara, 2007.

Order Program Outcomes Level of Contribution
1 2 3 4 5
0 Develop strategic, political and practice plans and evaluate the results by taking into account the quality process in his/her area of expertise X
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. Ara Sınav 40
1. Ödev 20
1. Performans Görevi (Uygulama) 40
Total 100
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
Assignment 1 10 10
Final examination 1 20 20
Performance Task (Application) 1 20 20
Total Workload 161
Total Workload / 25 (Hours) 6.44
dersAKTSKredisi 6