TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Assistant Professor Kaan Kaatsız
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Use computer for solving problems, such as execution, compilation, and debugging 2) Create the appropriate solution algorithm to input-output problems. 3) Create the appropriate solution algorithm to decision making problems and encode 4) Create the appropriate solution algorithm to loop problems and encode. 5) Gains to create algorithms and problem solving abilities in the field of civil engineering.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(CENG103)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	The goal of this introductory course to MATLAB is to understand better computer software, to translate everyday problems into computer-language and to develop algorithms for civil engineering problems. The students will learn how to write, compile, and execute some programs in MATLAB. The students will also practice reading, understanding, modifying and debugging in these programming languages.
COURSE CONTENTS	WEEK TOPICS 1st Week Overviews of Computer and Programming 2nd Week Introduction to MATLAB 3rd Week MATLAB Fundamentals 4th Week Creating m-files 5th Week Program Design and Algorithm Development 6th Week Data Import-Export 7th Week Midterm (tentative) 8th Week MATLAB Functions 9th Week Debugging in Matlab Programs 10th Week Logical Operators 11th Week Loop Structures 12th Week Decision Structures 13th Week 2D plotting in MATLAB 14th Week Symbolic Mathematics in MATLAB
RECOMENDED OR REQUIRED READING	Reference: Hahn, B., Valentine, D. Essential MATLAB for Engineers and Scientists, 4th Edition, Elsevier, 2010. Additional Resources: Moore, H. MATLAB for Engineers, 5th Edition, Pearson, 2017. Lecture Notes
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 4 15 Quiz 3 10 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 3 1 3 Individual or group work 3 3 9 Preparation for Final exam 1 40 40 Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) 5 2 10 Final exam 1 3 3 Homework 3 3 9 Total Workload 148 Total Workload / 30 4,93 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No