COURSE UNIT TITLE

: ENGINEERING MATHEMATICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 2028 ENGINEERING MATHEMATICS COMPULSORY 3 0 0 5

Offered By

Mechanical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR BINNUR GÖREN KIRAL

Offered to

Mechanical Engineering
Mechanical Engineering

Course Objective

The objective of this course is to teach the classifications and computer aided solutions of algebraic and differential equations required to solve and analyze the models of mechanical, control, fluid and thermal systems.

Learning Outcomes of the Course Unit

1   To identify mathematical equations used to solve engineering problems
2   To select the method of solutions of the equations
3   To apply mathematical methods to engineering problems
4   To solve equations by computers
5   To evaluate the results of solutions with an engineering view

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Exponential/harmonic functions, Plotting graphs
2 Nonlinear differential equation, Newton Raphson Method
3 Nonlinear set of differential equations,Newton Raphson Method
4 Lagrange Interpolation
5 Numerical integration, Simpson's Method
6 Linear set of differential equations, Method of Least Squares
7 Linear differential equations with constant coefficients
8 1st Mid-Term Exam
9 Eigenvalues, solutions under initial conditions, Laplace transform
10 Inverse Laplace transform, solution by MatLAB
11 Transfer function, Exponential/Harmonic solution
12 2nd Mid-Term Exam
13 Transfer function, impulse response, step response
14 Linear set of differential equations, state variables

Recomended or Required Reading

S. C. Chapra and, R. P. Canale, Numerical Methods for Engineers, 6th ed., McGraw- Hill, 2010.
Course notes.

Planned Learning Activities and Teaching Methods

PowerPoint presentations, home works, computer applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Theoretical lessons are given according to the weekly program. Home works are given each week. The questions of students are answered at the following week. The exam questions are arranged so that the students who solve the home work problems are successful.

Assessment Criteria

Home works are assigned to the students each week after the weekly lessons. Students strengthen their learning by solving home works. The successes of the students are evaluated by 2 mid-term exams and 1 final exam.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hira.karagulle@deu.edu.tr
binnur.goren@deu.edu.tr
zeki.kiral@deu.edu.tr
evren.toygar@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for Mid-term Exam 2 14 28
Preparation for Final Exam 1 20 20
Preparation before/after weekly lectures 12 2 24
Preparing Individual Assignments 12 1 12
Final 1 2 2
Mid-term 2 2 4
TOTAL WORKLOAD (hours) 126

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.154432
LO.254432
LO.3554323
LO.455343233
LO.555343233