ACADEMICS
Course Details

MAT236 - Engineering Mathematics II

2022-2023 Fall term information
The course is open this term
Supervisor(s)
Name Surname Position Section
Yaşar Sözen Supervisor 02
Weekly Schedule by Sections
Section Day, Hours, Place
02 Monday, 13:00 - 14:45, E2
Wednesday, 13:00 - 14:45, E2

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.

MAT236 - Engineering Mathematics II
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 4 0 4 5
Obligation : Must
Prerequisite courses : MAT235
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving
Course objective : The 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 : A student defines some mathematical concepts which are essential in his/her field, applies differential equations to engineering problems more effectively, gains the skill of interpreting some interrelations among these concepts, uses mathematical concepts in solving certain types of problems.
Course content : Laplace Transforms Vector Differential Calculus and Vector Integral Calculus Complex Analysis Fourier Series and Transforms Introduction to Partial Differential Equations
References : 1. 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
Weeks Topics
1 Laplace Transforms
2 Laplace transform of initial-value problems, Convolution theorem
3 Vector Differential Calculus
4 Vector Integral Calculus
5 Midterm exam
6 Complex Analysis
7 Complex functions, Limit and Continuity, Derivative
8 Complex Analytic Functions
9 Complex Integral, Complex Series
10 Midterm exam
11 Evaluation of some real integrals using residue theorem
12 Complex Analysis Applied to Potential Theory
13 Fourier Series and Transforms
14 Introduction to Partial Differential Equations
15 Preparation for Final Exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 0 0
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 2 50
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 4 56
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 5 70
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 2 7 14
Final Exam (Study duration) 1 10 10
Total workload 31 26 150
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering