G251 Engineering Mathematics

3 ECTS - 2-0 Duration (T+A)- 3. Semester- 2 National Credit

Information

Unit FACULTY OF AGRICULTURE
FOOD ENGINEERING PR.
Code G251
Name Engineering Mathematics
Term 2018-2019 Academic Year
Semester 3. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MAHMUT ÇETİN
Course Instructor Prof. Dr. MAHMUT ÇETİN (Güz) (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 Reseaqrch, Taylor and Maclaurin Series

Course Precondition

Resources

Notes



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 - Has knowledge in the fields of basic science, engineering and food science and technology 4
PLO02 - Determines, identifies and resolves the problems in the areas regarding food engineering and technology applications 2
PLO03 - Gains the ability to use knowledge and skills in his/her field. 3
PLO04 - Improve a process-based system using the methods of measurement and evaluation 0
PLO05 - Researches and analyzes complex systems using scientific methods 4
PLO06 - Uses objective and subjective methods to evaluate food quality and interprets the results 0
PLO07 - Selects and uses modern technical systems in food engineering and technology applications 0
PLO08 - Uses laboratories, does food analyses and evaluates, interprets and reports the results, 0
PLO09 - Has skills of Independent decision-making, self-confidence, creativity and the ability to take responsibility 5
PLO10 - Complies with teamwork 0
PLO11 - Analytically and critically evaluates the learned information. 4
PLO12 - Knows the necessity of lifelong learning. 1
PLO13 - Communicates effectively and healthily in the relevant field and uses communication technologies 0
PLO14 - Knows a foreign language at a level to follow the literature about foods and communicate 0
PLO15 - Constantly improves himself/herself determining his/her training needs in accordance with his/her interests and abilities in the scientific, cultural, artistic and social fields besides his/her professional development 0
PLO16 - is respectful of professional ethics 0
PLO17 - Has ability to plan, implement and develop a food process 2
PLO18 - Knows the legislation and management systems related to foods 0


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
2 Unit Matrix, Scalar Matrix, Diagonal Matrix, Multiplication of Matrices Sections from different chapters relevant to the subject
3 Introduction to Linear Systems of Equations, Rank of a Matrix Sections from different chapters relevant to the subject
4 Elementary Row Operations for Solving Equations Sections from different chapters relevant to the subject
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
6 Gauss Elimination and Gauss-Jordan Elimination Methods (Cont.) Sections from different chapters relevant to the subject
7 Solving Homogeneous Linear Equation Systems Sections from different chapters relevant to the subject
8 Mid-Term Exam Sections from different chapters relevant to the subject
9 Linear Programming: Principles, Minimisation, Maximisation Problems, Feasible Solution, Optimal Solution Sections from different chapters relevant to the subject
10 Linear Programming: Principles, Minimisation, Maximisation Problems, Feasible Solution, Optimal Solution (Cont.) Study all the relevant subjects for the mid-term exam
11 Linear Programming: Graphical Solution of Linear Programming Problems (Cont.) Sections from different chapters relevant to the subject
12 Introduction to Taylor and Maclaurin Series Sections from different chapters relevant to the subject
13 Numerical integration: Trapezoidal and Simpsons Rule Sections from different chapters relevant to the subject
14 Newton-Raphson Root-finding Algorithm Sections from different chapters relevant to the subject
15 Practical Applications of Numerical Techniques to Engineering Problems Sections from different chapters relevant to the subject
16 Term Exams Study all the relevant subjects for final exam
17 Term Exams Study all the relevant subjects for final exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100

Update Time: 18.02.2019 01:11