Epoka University

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CE 442	A	2	4	0	0	3	7.5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	Dr. Hayrettin Şen hsen@epoka.edu.al
*Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature)* and Office Hours:**	Dr. Hayrettin Şen hsen@epoka.edu.al , NA
*Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature)* and Office Hours:**	NA
Language:	English
Compulsory/Elective:	Compulsory
Study program: (the study for which this course is offered)	MSc in Civil Engineering, Profile: Construction Management
Classroom and Meeting Time:	NA
Teaching Assistant(s) and Office Hours:	NA
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	Yes
Course Description:	-
Course Objectives:	This course aims to improve the students with skills on numerical methods rather than programming only. Several mathematical tools that students will find useful will be covered.

BASIC CONCEPTS OF THE COURSE

1	Engineering graduates with sufficient theoretical and practical background
2	Identifying the potential resources for information or knowledge regarding a given engineering issue.
3	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.
4	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.

COURSE OUTLINE

Week	Topics
1	Introduction to MATLAB
2	Systems and solving the linear algebraic equations.
3	Finding roots of polynomial equations
4	Linear Regression, curve fitting.
5	Linear Regression for exponential curve fitting models
6	Finding roots of nonlinear algebraic equations
7	Finding roots of set of nonlinear algebraic equations by Newton Raphson Method
8	Numerical Integration Methods (Trapezoidal, Simpson Rules) Numerical Differentiation
9	Numerical solution of the nonlinear-linear ODE by Runge Kutta Method (1)
10	Numerical solution of the nonlinear-linear ODE by Runge Kutta Method (2)
11	Numerical solution of the linear ODE by Newmark Method
12	Analytical solution of the linear ODE by Laplace transformation
13	Analytical solution of the linear ODE by Laplace transformation (2)
14	Analytical solution of set of linear ODE systems by Laplace transformation by state variables

Prerequisite(s):	NA
Textbook(s):	1- Numerical Methods for Engineers - Chapra, Steven C., Canale, Raymond P. Seventh edition, McGraw-Hill Education. 2- Numerical Methods in Engineering with MATLAB - Kiusalaas, Jann. Second Edition, Cambridge University Press.
Additional Literature:	NA
Laboratory Work:	NA
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	Applying numerical methods in solving real life problems
2	Versatility in various programming environments
3	Practical abilities acquisition in problem solving
4	Presenting the results of numerical calculations

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
MSc in Civil Engineering, Profile: Construction Management Program
1	an ability to apply knowledge of mathematics, science, and engineering	5
2	an ability to design a system, component, or process to meet desired needs	3
3	an ability to function on multidisciplinary teams	3
4	an ability to identify, formulate, and solve engineering problems	3
5	an understanding of professional and ethical responsibility	4
6	an ability to communicate effectively	2
7	the broad education necessary to understand the impact of engineering solutions in a global and societal context	3
8	a recognition of the need for, and an ability to engage in life long learning	3
9	a knowledge of contemporary issues	3
10	an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice	4
11	skills in project management and recognition of international standards and methodologies	3

COURSE EVALUATION METHOD

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	4	64
Mid-terms	1	19.5	19.5
Assignments	1	15	15
Final examination	1	25	25
Other	0	0	0
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5

CONCLUDING REMARKS BY THE COURSE LECTURER