Course Name Code Semester T+U Hours Credit ECTS
Applied Engineering Mathematics ENM 501 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers Prof.Dr. SEMRA BORAN, Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM,
Course Assistants
Course Category Available Basic Education in the Field
Course Objective To give the Advanced Mathematic knowledge for Engineering Students.
Course Content Matrix(multiple size), Linear Equation Systems, Nonlinear equation systems, Eigen value and Eigen vectors, To do diagonal and triangle, Differential Equations, Multiple size optimization techniques, Computer supported MATLAB application examples
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To know the Advanced Mathematic techniques for application. Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework,
2 Able to apply Advanced Mathematic techniques Problem Solving, Drilland Practice, Question-Answer, Lecture, Homework, Testing,
Week Course Topics Preliminary Preparation
1 Matrix( multiple size)
2 Linear Equation Systems
3 Computer supported application examples-1
4 Nonlinear equation systems
5 Computer supported MATLAB application examples-2
6 Eigen value and Eigen vectors
7 Computer supported application examples-3
8 Case Studys in Industrial Engineering-1
9 Case Studys in Industrial Engineering-2
10 Computer supported MATLAB application examples-4
11 Some advanced Differential Equations
12 Computer supported MATLAB application examples-5
13 Multiple size optimization techniques
14 Computer supported MATLAB application examples-6
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ödev 15
2. Ödev 15
3. Ödev 15
4. Ödev 15
1. Performans Görevi (Seminer) 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 7 7
Assignment 2 10 20
Oral Examination 1 2 2
Performance Task (Seminar) 1 15 15
Final examination 1 10 10
Total Workload 160
Total Workload / 25 (Hours) 6.4
dersAKTSKredisi 6