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  Course Description
Course Name : Numerical Analysis

Course Code : ME 254

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Spring (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Asst.Prof.Dr. ARİF ÖZBEK

Learning Outcomes of the Course : Has an understanding of definition and types of error, roots of equations; solutions of systems of linear equations; optimization; curve fitting; numerical differentiation and integration; solution of ordinary differential equations and partial equations diferansisyel learn methods and application to engineering problems

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Equipping students with information on a variety of numerical methods used in engineering practice to gain the ability to solve problems.

Course Contents : Errors, roots of equations, systems of linear algebraic equations, optimization, curve fitting, numerical differentiation and integration

Language of Instruction : English

Work Place : Mechanical Eng. Department


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction, Round of errors Textbook "Chapter 3" Lecture
2 Roots of equations Textbook "Chapter 5" Lecture
3 Roots of equations Textbook "Chapter 5" Lecture
4 Systems of linear algebraic equations Textbook "Chapter 3" Lecture
5 Systems of linear algebraic equations Textbook "Chapter 9" Lecture
6 Lineer cebirsel denklem sistemleri, LU decomposition method Textbook "Chapter 10" Lecture
7 Linear algebraic equations, Gauss siedel yöntemi Textbook "Chapter 11" Lecture
8 Optimization Textbook "Chapter 13" Lecture
9 Midterm exam
10 Curve fitting Textbook "Chapter 17" Lecture
11 Curve fitting Textbook "Chapter 17" Lecture
12 Numerical differentiation Textbook "Chapter 21" Lecture
13 Numerical integration Textbook "Chapter 21" Lecture
14 Ordinary differential equations Textbook "Chapter 25" Lecture
15 Partial differential equations Textbook "Chapter 29" Lecture
16/17 Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Textbook: Numerical Methods for Engineers; Fifth Edition. Writers: S.C. Chapra, R.P. Canale. Publisher: Mc-Graw Hill.
 Another numerical analysis textbook which can be selected by the student
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 1 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students gain a command of basic concepts, theories and principles in mechanical engineering 4
2 Student become equipped with the basic knowledge of math, science and engineering 5
3 Students are able to design and carry out experiments in the basic fields of mechanical engineering, and interpret the results and the data obtained from the experiments 2
4 Students become equipped with a variety of skills and knowledge regarding engineering techniques 4
5 Students are able to design a system, component or process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, and sustainability limits. 2
6 Students independently review and learn the applications in an enterprise, make a critical assessment of the problems faced with, formulate problems and propose solutions by selecting the proper technique 3
7 Students take initiative in identification, design, development and use of a product or production process. 2
8 Students become aware of the necessity of lifelong learning and continuously self-renew 3
9 Students use English effectively for technical or non-technical topics orally or in wirtten form. 5
10 Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 5
11 Students have good communicatino skills with a tendency to work in teams, and are able to work effectively as a member of an interdisciplinary team 3
12 Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 16 4 64
Assesment Related Works
    Homeworks, Projects, Others 1 1 1
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 125
Total Workload / 25 (h): 5
ECTS Credit: 5