E-mail: bbayraktar@uludag.edu.tr, İş Tel: +90(224) 294 22 98. Adres: UÜ, Eğitim Fakültesi, İlköğretim Bölümü, Matematik Eğitimi Anabilim Dalı, 16059 Görükle / BURSA
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Website:
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Objective of the Course:
The purpose of the course is to understand the basics of mathematical modeling in comprehensive manner. Also the goal is to learn the basics of algorithm and to be able to use them on computer. To gain skills in producing of practice tasks in Maths lessons. To understand the basics of software languages.
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Contribution of the Course to Professional Development
Creates and develops the knowledge base of the prospective teacher. Comprehends the concepts related to the field and the relations between concepts based on the competencies gained in secondary education. Have defines and analyzes problems related to his field, and develops solutions based on evidence and research.
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Learning Outcomes:
1
Terms of building mathematical models to analyze the problem;;
2
Creation mathematical models and solution methods implementation of some of the problems from our daily lives,;;
3
Creation a simple linear mathematical model.;;
4
Definition of algorithm and concept of the algorithm. Learning of the must-have features of algorithms.;;
5
Drawing flow diagram and testing algorithm.;;
6
Software development of algorithms for arrays and matrices.;;
7
Development of numerical methods and software algorithms that were seen in mathematics course.;;
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Course Content:
Week
Theoretical
Practical
1
Algorithm concept, introduction and properties. Examples of algorithms. Basic structures of algorithms.
2
Designing ways of algorithms. Algae Flow charts.
3
Basic structures of algorithms. Examples.
4
Basic structures of algorithms. Examples.
5
Flowchart symbols and basic structures of algorithms (linear, branching and loop algorithms). Complex algorithms and functions. Algorithm applications.
6
Software language. Structure of a computer language (its alphabet, special words, expressions, rules, appearance).
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Application of linear algorithms. Software Applications
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Application of branching algorithms. Software Applications
9
Application of branching algorithms. Software Applications
10
Application of algorithms in loop form. Software Applications
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Application of algorithms in loop form. Software Applications
12
Application of algorithms in loop form. Software Applications
13
Algorithms and software on arrays and matrices. Software Applications
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Algorithms and software on arrays and matrices. Software Applications
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Techniques such as lecture, discussion, question-answer, 3E are used in the teaching of the course. Midterm and final exams are taken into consideration in the measurement and evaluation of the course.
Information
Results are determined with the letter grade determined by the student automation system.
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
0
0
0
Self Study and Preparation
0
0
0
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
15
15
Others
0
0
0
Final Exams
1
15
15
Total WorkLoad
73
Total workload/ 30 hr
1,93
ECTS Credit of the Course
2
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
