Course Details

MAT 236 Engineering Mathematics II
2021-2022 Spring term information

The course is open this term
Section: 01
Supervisor(s):Mustafa Türkyılmazoğlu
E8Monday09:00 - 10:45
E8Tuesday09:00 - 10:45
Section: 02
Supervisor(s):Aslı Pekcan Yıldız
E7Monday10:00 - 11:45
E7Tuesday09:00 - 10:45

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 26/05/2022.


Course Name Code Semester Theory
Credit ECTS
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Drill and Practice
Problem Solving
Instructor (s)Instructors at department of mathematics 
Course objectiveThe aim of this course is to explain some basic concepts of Mathematics and show how to use these concepts in solving certain types of problems which might possibly be encountered in many branches of science and engineering. 
Learning outcomes
  1. A student defines some mathematical concepts which are essential in his/her field,
  2. applies differential equations to engineering problems more effectively,
  3. gains the skill of interpreting some interrelations among these concepts,
  4. uses mathematical concepts in solving certain types of problems.
Course ContentLaplace Transforms
Vector Differential Calculus and Vector Integral Calculus
Complex Analysis
Fourier Series and Transforms
Introduction to Partial Differential Equations
References1. Erwin Kreyszig, Advanced Engineering Mathematics, 9th Edition, Wiley, 2006.
2. W. E. Boyce and R. C. DiPrima, Elementary Differential Equations and Boundary-Value Problems, 9th Edition, Wiley, 2000.
3. F. B. Hildebrand, Advanced Calculus for Applications, 2nd Edition, Prentice-Hall, 1976.
4. S. L. Ross, Differential Equations, 3rd Edition, Wiley, 1984.
5. M. L. Boas, Mathematical Methods in the Physical Sciences, 3th Edition, Wiley, 2006.

Course outline weekly

Week 1Laplace Transforms
Week 2Laplace transform of initial-value problems, Convolution theorem
Week 3Vector Differential Calculus
Week 4Vector Integral Calculus
Week 5Midterm exam
Week 6Complex Analysis
Week 7Complex functions, Limit and Continuity, Derivative
Week 8Complex Analytic Functions
Week 9Complex Integral, Complex Series
Week 10Midterm exam
Week 11Evaluation of some real integrals using residue theorem
Week 12Complex Analysis Applied to Potential Theory
Week 13Fourier Series and Transforms
Week 14Introduction to Partial Differential Equations
Week 15Preparation for Final Exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Field activities00
Specific practical training00
Final exam150
Percentage of semester activities contributing grade succes250
Percentage of final exam contributing grade succes150

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 4 56
Laboratory 0 0 0
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation000
Homework assignment000
Midterms (Study duration)2714
Final Exam (Study duration) 11010
Total Workload3126150

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.     X
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.    X
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.     X
4. PO4. Designs a system under realistic constraints using modern methods and tools.  X  
5. PO5. Designs and performs an experiment, analyzes and interprets the results. X   
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. X    
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. X   
8. PO8. Performs project planning and time management, plans his/her career development. X   
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. X   
10. PO10. Is competent in oral or written communication; has advanced command of English.  X  
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. X   
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. X   
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem.  X  

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

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