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Faculty of Medicine >>Medicine >>Applied Mathematics For Auto. Eng.

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  Course Description
Course Name : Applied Mathematics For Auto. Eng.

Course Code : AEN201

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) :

Learning Outcomes of the Course : Vector functions
Series Expansion of Functions
Line Integrals
Double Integrals (Area Integrals)
Differential Equations: Analytical Solutions

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Informing engineering students of fundemental mathematical concepts found in engineering problems and showing them the basic analytical solution methods

Course Contents : Series.Power Series. Taylor and MacLaurin Series. Complex Numbers. Vektor Functions. Gradient., Divergence, Laplacian Operators. Directional Derivative. Line Integrals. Area Integrals. Differential Equations: Definition and Types. First-Order Equations. Linear Equations. First-Order Partial Differential Equations. Second-Order Equations with Constant Coefficients. Laplace Transformations.

Language of Instruction : English

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Sequences. Series. Convergence-Divergence Lecture notes Classroom Lecture
2 Power Series. Taylor and MAclaurin Series Lecture notes Classroom Lecture
3 Complex Numbers Lecture notes Classroom Lecture
4 Partial Differentiation. Chain Rule Lecture notes Classroom Lecture
5 Vector Calculus. Gradient and Directional Derivative Lecture notes Classroom Lecture
6 Multiple Integrals: Double Integrals Lecture notes Classroom Lecture
7 Area Integrals using Polar Coordinates Lecture notes Classroom Lecture
8 Divergence, Curl and Laplacian. Line Integrals Lecture notes Classroom Lecture
9 Midterm Written exam
10 Differential Equations (DE), First-order DE Lecture notes Classroom Lecture
11 Linear First-order Partial DE Lecture notes Classroom Lecture
12 Nonhomogeneous DE Lecture notes Classroom Lecture
13 Laplace transformation Lecture notes Classroom Lecture
14 Second-order Linear Partial DE Lecture notes Classroom Lecture
15 DE Applications Lecture notes Classroom Lecture
16/17 Final Exam Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Lecture notes
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 10 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 Utilizes computer systems and softwares 5
2 Generates solutions for the problems in other disciplines by using statistical techniques 3
3 Comprehends visual, database and web programming techniques and has the ability of writing objective program 1
4 Is equipped with a variety of skills and techniques in engineering. 4
5 Designs a system, component or process so as to meet various engineering needs within technical, economic, environmental, manufacturability, sustainability limitations. 2
6 Examines and learns applications in an enterprise independently, makes critical assesments of problems, formulates problems and selects suitable techniques for solutions. 5
7 Leads the identification, development and usage of a product or production method. 2
8 Is aware of the need for lifelong learning and self-renew 3
9 Has effective oral and written English for technical or non-technical use 5
10 Uses computers very effectively, makes computer-aided drafting, designs, analysis, and presentations. 1
11 Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. 3
12 Is aware of the technical and ethical responsibilities, has inquisitive and innovative quality 2
* 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 3 42
    Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
    Homeworks, Projects, Others 10 4 40
    Mid-term Exams (Written, Oral, etc.) 1 1 1
    Final Exam 1 1 1
Total Workload: 126
Total Workload / 25 (h): 5.04
ECTS Credit: 5