G253 Engineering Mathematics

6 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Code G253
Name Engineering Mathematics
Term 2023-2024 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MAHMUT ÇETİN
Course Instructor Prof. Dr. MAHMUT ÇETİN (A Group) (Ins. in Charge)


Course Goal / Objective

Have students gain analitical thinking skills by teaching them to solve ways of engineeering problems to be faced in the real life and providing in-depth knowledge.

Course Content

Linear Algebra:Matrices and determinants, systems of linear equations; Eigenvalue Problems, Numeric Analysis, Linear Programming/Operations Research, Taylor and Maclaurin Series; Advanced Indefinite and Definite Integration Techniques, Improper Integrals

Course Precondition

There is no prerequisite for enrolling to this course.

Resources

1. Chapra, S. C., R. P., Conale, 1998. Numerical Methods for Engineers with Programming and Software. McGraw-Hill International Editions, 924 p. 2. Goldstein, L. J., Lay, D. C., Schneider, D. I., 1996. Calculus and Its Applications. Prentice-Hall International Editions, 795 p. 3. Hoffman, J. D., 1993. Numerical Methods for Engineers and Scientists. McGraw-Hill International Editions, 825 p. 4. James, G., Searl, J., Wright, J., 1996. Modern Engineering Mathematics. Addison-Wesley Publishing Company, 954 p. 5. Jeffrey, A., 1995. Essentials of Engineering Mathematics: Worked Examples and Problems. Chapman and Hall, Inc., 825 p. 6. Karadeniz, A., 1996. Yüksek Matematik Problemleri. Çağlayan Kitabevi, İstanbul. 7. Karadeniz, A., 1997. Yüksek Matematik. Cilt 1-3, Çağlayan Kitabevi, İstanbul.

Notes

Supplementary materials uploaded to ÇUBIS web site.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Gains the ability to define engineering problems.
LO02 Develops analitical thinking and synthesizing skills.
LO03 Formulates a problem mathematically.
LO04 Analyses alternative solving techniques and chooses the optimal solution.
LO05 Analyses the solution approaches; compares the solution by synthesizing, and proves the solution if it is corect or not.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have sufficient knowledge in the fields of basic sciences (mathematics / science) and food engineering and the ability to use theoretical and applied knowledge in these areas in complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, defines and solves complex engineering problems in applications in the fields of food engineering and technology. 4
PLO03 Bilgi - Kuramsal, Olgusal Gains the ability to apply a complex system or process related to food products and production components using modern design methods under certain constraints and conditions.
PLO04 Bilgi - Kuramsal, Olgusal Choosing and using modern technical tools necessary for analysis and solution of complex problems encountered in food engineering and technology applications; For this purpose, he/she uses information technologies. 2
PLO05 Bilgi - Kuramsal, Olgusal Gaining laboratory skills for the analysis and solution of complex problems in the field of food engineering, designing an experiment, conducting an experiment, collecting data, analyzing and interpreting the results. 3
PLO06 Bilgi - Kuramsal, Olgusal Takes responsibility individually and as a team member to solve problems encountered in food engineering applications.
PLO07 Bilgi - Kuramsal, Olgusal Gains the ability to communicate verbally and in writing in Turkish / English related to the field of food engineering, to write reports, to prepare design and production reports, to present effectively and to use communication technologies.
PLO08 Bilgi - Kuramsal, Olgusal Recognizing the necessity of lifelong learning and constantly improving himself/herself in the field of food engineering.
PLO09 Bilgi - Kuramsal, Olgusal Gains the awareness of food legislation and management systems and professional ethics.
PLO10 Bilgi - Kuramsal, Olgusal Using the knowledge of project design and management, he/she attempts to develop and realize new ideas about food engineering applications; have information about sustainability.
PLO11 Bilgi - Kuramsal, Olgusal Has awareness about the effects and legal consequences of engineering practices related to food safety and quality on consumer health and environmental safety within the framework of national and international legal regulations.


Week Plan

Week Topic Preparation Methods
1 Introduction to Matrices and Linear Systems: General Concepts and Notations, and some definitions Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası
2 Unit Matrix, Scalar Matrix, Diagonal Matrix, Multiplication of Matrices Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Introduction to Linear Systems of Equations, Rank of a Matrix Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
4 Elementary Row Operations for Solving Equations Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma
5 Linear Systems, Coefficient Matrix, Augmented Matrix and Solution of Linear Systems of Equations by Gauss Elimination and Gauss-Jordan Elimination Methods Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Soru-Cevap, Tartışma, Gösterip Yaptırma, Problem Çözme
6 Gauss Elimination and Gauss-Jordan Elimination Methods (Cont.) Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Soru-Cevap, Tartışma, Gösterip Yaptırma
7 Solving Homogeneous Linear Equation Systems Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Soru-Cevap, Tartışma, Benzetim
8 Mid-Term Exam Sections from different chapters relevant to the subject Ölçme Yöntemleri:
Yazılı Sınav
9 Linear Programming: Principles, Minimisation, Maximisation Problems, Feasible Solution, Optimal Solution Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Linear Programming: Principles, Minimisation, Maximisation Problems, Feasible Solution, Optimal Solution (Cont.) Study all the relevant subjects for the mid-term exam Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma
11 Introduction to Taylor and Maclaurin Series- Convergence and Divergence of Series Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Numerical integration: Trapezoidal and Simpsons Rule Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
13 Newton-Raphson Root-finding Algorithm Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Beyin Fırtınası
14 Advanced indefinite integration rules such as a*sin(t), a*tan(t) and a*sec(t) substitutions Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Integration of some higher functions by using 2*arctan(t) substitution; improper integrals of TYPE I and TYPE II Sections from different chapters relevant to the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
16 Term Exams Study all the relevant subjects for final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Study all the relevant subjects for final exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 08.05.2023 06:23