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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MEN 2053 NUMERICAL ANALYSIS COMPULSORY 4 0 0 4

Offered By

Marine Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR KERIM DENIZ KAYA

Offered to

Marine Engineering

Course Objective

To explain how to solve the problems by using computer and simple ways

Learning Outcomes of the Course Unit

1   Able to find errors and make mathematical modeling 2   Able to find roots of equations 3   Able to evaluate linear and non-linear equation systems 4   Able to apply optimization techniques and use curve fitting approaches 5   Able to evaluate differential equations

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Mathematical modelling, engineering problem solving and error analysis Numerical Methods for Engineers , Chap. 1 2 Roots of equations and problems Numerical Methods for Engineers , Chap. 2 3 Solving of linear equation systems Numerical Methods for Engineers , Chap. 3 4 Solving of linear equation systems Numerical Methods for Engineers , Chap. 3 5 Optimization methods Numerical Methods for Engineers , Chap. 4 6 Curve fittiing methods Numerical Methods for Engineers , Chap. 5 7 Curve fittiing methods Numerical Methods for Engineers , Chap. 5 8 Midterm 9 Numerical differentiation methods and applications Numerical Methods for Engineers , Chap. 6 10 Numerical integration methods and applications Numerical Methods for Engineers , Chap. 6 11 Ordinary differential equations Numerical Methods for Engineers , Chap. 7 12 Ordinary differential equations Numerical Methods for Engineers , Chap. 7 13 Partial differential equations Numerical Methods for Engineers , Chap. 8 14 Partial differential equations Numerical Methods for Engineers , Chap. 8

Recomended or Required Reading

Numerical Methods for Engineers, Chapra, Steven C.; Canale,Raymond P.; McGraw Hill, 7th Ed.,2015 Applied Numerical Methods with MATLAB® for Engineers and Scientists, Chapra, Steven C.; McGraw Hill, 3th Ed.,2012

Planned Learning Activities and Teaching Methods

Cooperative and active teaching and learning strategies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MD Midterm 2 HW Homework 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MD * 0.30 + HW * 0.20 + FN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MD * 0.30 + HW * 0.20 + BUT * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Lec. Semih YILMAZ, semih.yilmaz@deu.edu. tr, Office:Z12 Res. Asst. Kubilay BAYRAMOĞLU, kubilay.bayramoglu@deu.edu. tr, Office:204

Office Hours

Wednesday: 12:30-13:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 4 52 Preparation for midterm exam 1 5 5 Preparation for final exam 1 10 10 Preparing assignments 5 3 15 Preparations before/after weekly lectures 13 1 13 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 97

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 PO.16 PO.17 PO.18 PO.19 PO.20 LO.1 5 5 5 5 LO.2 5 5 5 5 LO.3 5 5 5 5 LO.4 5 5 5 5 LO.5 5 5 5 5