Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / BLM305 - DEPARTMENT OF COMPUTER ENGINEERING

Code: BLM305 Course Title: NUMERICAL METHODS Theoretical+Practice: 3+0 ECTS: 4
Year/Semester of Study 3 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department DEPARTMENT OF COMPUTER ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer EMRE BENDEŞ (emrebendes@nevsehir.edu.tr)
Name of Lecturer(s) SEMA ATASEVER,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Explanation of how to solve a complex non-practical problem manually with approximate numerical solutions.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 The student will learn the methods to solve any advanced mathematical problem which is conventionaly solvable or not. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-2 The student will be able to interpret the numerical calculations of the methods and errors. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-3 The student will be able to solution of single-variable and non-linear equations. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-4 The student will know how to solve the integral and derivative numerical methods. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-5 The student will know now to use of numerical interpolation and approximation of functions. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Erros and Mistakes, Solution of Nonlinear Equations, Solution of Nonlinear & Linear Systems, Numerical Integration, Numerical Differentiation, Difference Table, Interpolation, Curve Fitting, Solution of Differential Equations which are the main topics of numerical analysis will be explained.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Matematik Modeling and Solving of Mathematic Problems
2 Number representation, round-off error, truncation error, mistakes Explaining, Question-answer, Problem Solving, Practice
3 The Solution of Nonlinear Equations - Close Methods Explaining, Question-answer, Problem Solving, Practice
4 The Solution of Nonlinear Equations - Open Methods Explaining, Question-answer, Problem Solving, Practice
5 The Solution of Root of Polynomial Explaining, Question-answer, Problem Solving, Practice
6 The Solution of Linear Systems Explaining, Question-answer, Problem Solving, Practice
7 The Solution of Nonlinear Systems Explaining, Question-answer, Problem Solving, Practice
8 mid-term exam
9 Numerical Integration Explaining, Question-answer, Problem Solving, Practice
10 Interpolation Explaining, Question-answer, Problem Solving, Practice
11 Interpolation II Explaining, Question-answer, Problem Solving, Practice
12 Curve Fitting Explaining, Question-answer, Problem Solving, Practice
13 Curve Fitting II Explaining, Question-answer, Problem Solving, Practice
14 The Solution of Differential Equations Explaining, Question-answer, Problem Solving, Practice
15 The Solution of Differential Equations II Explaining, Question-answer, Problem Solving, Practice
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Numerical Methods for Mathematics, Science and Engineering, J.H.Mathews, Prentice Hall
Required Course instruments and materials
Numerical Methods for Mathematics, Science and Engineering, J.H.Mathews, Prentice Hall

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 13 4 52
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 12 1 12
mid-term exam 1 1 1
Own study for final exam 12 1 12
final exam 1 1 1
0
0
Total work load; 120