Home  »  Institute of Educational Sciences »  Master's of Primary School Mathematics Education with Thesis

COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
COMPUTER APPLIED NUMERICAL ANALYSIS MTE646 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Assistant Professor Özge Dalmanoğlu
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Know the numerical representations, error types
2) Know the approximate root finding methods
3) Apply the approximate root finding methods
4) Know the interpolation, approximation
5) Apply interpolation, approximation
6) Know numerical differentiation
7) Apply numerical differentiation
8) Know numerical integration
9) Apply numerical integration
10) Know Mathematica
11) Make applications with Mathematica
12) Know Fortran
13) Make applications with Fortran
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONNumber representation and error types, root finding methods, interpolation and approximation, numerical differentiation and integration, MATHEMATICA and FORTRAN programming languages and applications.
COURSE CONTENTS
WEEKTOPICS
1st Week Numerical representation
2nd Week Error types
3rd Week Approximate root finding
4th Week Interpolation and approximation
5th Week Interpolation and approximation
6th Week Numerical differentiation
7th Week Numerical differentiation
8th Week Mid-term Exam
9th Week Integration
10th Week Integration
11th Week Mathematica applications
12th Week Mathematica applications
13th Week Fortran applications
14th Week Fortran applications
RECOMENDED OR REQUIRED READINGWolfram, S. (1996). The Mathematica Book. Champaign (3rd ed.)
Koffman, E. B. (1997). Fortran. Addison-Wesley Pub. Co. (5th ed.)
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Total(%)40
Contribution of In-term Studies to Overall Grade(%)40
Contribution of Final Examination to Overall Grade(%)60
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam
Preparation for Quiz
Individual or group work12560
Preparation for Final exam13535
Course hours14342
Preparation for Midterm exam
Laboratory (including preparation)
Final exam11,51,5
Homework11515
Total Workload153,5
Total Workload / 305,11
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4LO5LO6LO7LO8LO9LO10LO11LO12LO13
K1                         
K2                         
K3      X                    
K4                         
K5  X                        
K6                         
K7                         
K8                          X
K9                         
K10                         
K11                         
K12                         
K13                         
K14                         
K15    X                      
K16                         
K17                         
K18                         
K19                         
K20                         
K21  X                        
K22                         
K23                          X