IMU703 - ADVANCED ENGINEERING MATHEMATICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
ADVANCED ENGINEERING MATHEMATICS IMU703 Any Semester/Year 3 0 3 10
PrequisitesThere are no prerequisites.
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
 
Instructor (s)To be determined by the department 
Course objectiveThe aim of the course is to form a basis for the solution methods of partial differential equations.  
Learning outcomes
  1. At the end of the semester the students will be able to: 1. Know Partial Differential Equations with the special solution methods.
  2. 2. Establish a mathematical model in the engineering.
Course ContentMathematical and experimental modeling in engineering. Tensor analysis. Extrema of a function and functionals. Differential mathematical models and solution methods. Weighted residual methods. Perturbation methods. Integral equations. Finite difference method. Boundary integral method. Finite element method. 
ReferencesErwin Kreyszig, Advanced Engineering Mathematics, 10th ed., John Wiley & Sons Inc. 

Course outline weekly

WeeksTopics
Week 1Mathematical and experimental modeling in engineering.
Week 2Tensor analysis
Week 3Tensor analysis
Week 4Extrema of a function and functionals
Week 5Differential mathematical models and solution methods
Week 6Midterm exam
Week 7Differential mathematical models and solution methods
Week 8Weighted residual methods
Week 9Perturbation methods.
Week 10Integral equations
Week 11Finite difference method
Week 12Midterm exam
Week 13Boundary integral method.
Week 14Finite element method.
Week 15Finite element method.
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms260
Final exam140
Total100
Percentage of semester activities contributing grade succes260
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)149126
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)22448
Final Exam (Study duration) 12424
Total Workload3160240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Ability to use theoretical and applied knowledge in mathematics, science, and Civil Engineering fields in solving complex engineering problems.    X
2. Ability to identify, formulate and solve complex civil engineering problems.   X 
3. Ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods.  X  
4. Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; can use information technologies effectively.X    
5. Ability to design, conduct experiments, collects data, analyze and interpret results for the study of complex engineering problems or research topics specific to Civil Engineering. X   
6. Ability to work individually and as a team in both intra and interdisciplinary. X   
7. Ability to communicate effectively, verbally and in writing; knows at least one foreign language, especially English; writes effective reports and understands written reports, can prepare design and production reports, make effective presentations, gives and receives clear and understandable instructions. X   
8. Awareness of the necessity of lifelong learning; can access information, follow the developments in science and technology and constantly renew yourself. X   
9. Acts in accordance with ethical principles, has knowledge of professional and ethical responsibility and standards used in engineering practices. X   
10. Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship, and innovation; information about sustainable development. X   
11. Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.X    

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest