Course Name Code Semester T+U Hours Credit ECTS
Symbolic and Numerical Computation Techniques EEM 602 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi AHMET YAHYA TEŞNELİ
Course Lecturers
Course Assistants
Course Category
Course Objective To introduce the symbolic computation technique and to gain the ability of using the technique by solving some engineering problems with this new method
Course Content Introduction to symbolic and numerical computation techniques. Algebra. Solving equations. Calculus. Vector analysis. Matrices. Plotting. Programming. Advanced programming topics. Applications.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To introduce the symbolic computation techniques Lecture, Drilland Practice, Motivations to Show, Self Study, Problem Solving, Testing, Homework,
2 To inform about the symbolic computation computer programs Lecture, Drilland Practice, Motivations to Show, Self Study, Problem Solving, Testing, Homework,
3 To gain the skill of solving different engineering problems with this technique Lecture, Drilland Practice, Motivations to Show, Self Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to symbolic and numerical computation techniques
2 Creating Expressions
3 Algebra
4 Algebra
5 Solving equations
6 Differentiating expressions
7 Taking limits, Computing series
8 Solving differential equations
9 Laplace transforms, Vector analysis
10 Matrices
11 Two and three dimensional plots
12 Programming
13 Advanced programming topics
14 Applications
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 25
2. Ödev 25
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 12 12
Assignment 2 15 30
Final examination 1 16 16
Total Workload 154
Total Workload / 25 (Hours) 6.16
dersAKTSKredisi 6