dm.ieu.edu.tr
Course Name  
Code  Semester  Theory (hour/week)  Application/Lab (hour/week)  Local Credits  ECTS 

Fall 
Prerequisites  None  
Course Language  
Course Type  Required  
Course Level    
Mode of Delivery    
Teaching Methods and Techniques of the Course  Problem Solving Q&A  
Course Coordinator    
Course Lecturer(s)  
Assistant(s) 
Course Objectives  
Learning Outcomes  The students who succeeded in this course;

Course Description 
 Core Courses  X 
Major Area Courses  
Supportive Courses  
Media and Managment Skills Courses  
Transferable Skill Courses 
Week  Subjects  Required Materials 
1  Errors, Big O Notation, Stability and Condition Number, Taylor's Theorem.  Lecture notes 
2  The Solution of Nonlinear Equations: Bisection Method, Fixed Point Iteration,  Numerical Analysis by Timothy Sauer, 2006, Pearson Section : 1.1, 1.2 
3  NewtonRapson Method, Secant Method.  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 1.4, 1.5 
4  The Solution of Linear Systems: Solving Triangular System, Gauss Elimination and Pivoting.  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 2.1 
5  LU Factorization  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 2.2 
6  Sources of Error.  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 2.3 
7  Iterative Methods: Jacobi Method, Gauss Seidel Method and SOR  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 2.5 
8  Midterm Exam  
9  Interpolation: Lagrange Interpolation  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 3.1 
10  Newton’s Divided Differences, Interpolation error  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 3.1, 3.2 
11  Chebyshev Interpolation  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 3.4 
12  Least Squares and the normal equation  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 4.1 
13  A survey of Models, QR Factorization  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 4.2, 4.3 
14  Nonlinear Least Squares  Numerical Analysis by Timothy Sauer, 2006, Pearson Section 4.4 
15  Review of the semester  
16  Review of the semester 
Course Notes/Textbooks  Numerical Analysis by Timothy Sauer, 2006, Pearson 
Suggested Readings/Materials 
Semester Activities  Number  Weigthing 
Participation  
Laboratory / Application  
Field Work  
Quizzes / Studio Critiques  
Portfolio  
Homework / Assignments  5  30 
Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exam  
Midterm  1  30 
Final Exam  1  40 
Total 
Weighting of Semester Activities on the Final Grade  6  60 
Weighting of EndofSemester Activities on the Final Grade  1  40 
Total 
Semester Activities  Number  Duration (Hours)  Workload 

Course Hours (Including exam week: 16 x total hours)  16  3  48 
Laboratory / Application Hours (Including exam week: 16 x total hours)  16  
Study Hours Out of Class  16  3  
Field Work  
Quizzes / Studio Critiques  
Portfolio  
Homework / Assignments  5  4  
Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exam  
Midterms  1  20  
Final Exams  1  25  
Total  161 
#  Program Competencies/Outcomes  * Contribution Level  
1  2  3  4  5  
1  To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics.  X  
2  To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics,  X  
3  To be able to define and analyze problems and to find solutions based on scientific methods,  X  
4  To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials,  X  
5  To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,  X  
6  To be able to criticize and renew her/his own models and solutions,  X  
7  To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way,  X  
8  To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge uptodate, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature,  X  
9  To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,  X  
10  To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,  X  
11  To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,  X  
12  By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,  X  
13  To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning,  X  
14  To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school,  X  
15  To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.  X 
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest