TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Fourth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Assistant Professor Andaç Töre Şamiloğlu Instructor Kemal Güven
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learning and applying the basic concepts of object-oriented programming languages 2) Ability to use MATLAB programming language to solve mechanical engineering problems 3) Ability to use JAVA programming language in solving mechanical engineering problems 4) Ability to use PYTHON programming language to solve mechanical engineering problems
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(BİL101)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	Object-oriented programming (Java, C#, Ptyhon, etc.), script-based programming languages ??(Matlab, Octave, latex, etc.) and calculation software (Excel, MathCad, etc.) are processed in a way that can be used in a mechanical engineering program.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction, programming in Mechanical Engineering 2nd Week Object Oriented Programming Languages: Introduction, IDE introduction 3rd Week Object Oriented Programming Languages: Class Structures, Objects, Inheritance Structures 4th Week Object Oriented Programming Languages: Ready-made Classes for Engineering problems 5th Week Object Oriented Programming Languages: Solution of Mechanical Engineering probes 6th Week Matlab/Octave programming: Introduction, script programming 7th Week Matlab/Octave programming: Embedded functions for engineering problems 8th Week MIDTERM 9th Week Matlab/Octave programming: Solution of Mechanical Engineering probes 10th Week Python programming: Introduction, IDE introduction 11th Week Python programming: Ready-made libraries (numpy, matplotlib, etc.) 12th Week Python programming: solving Mechanical Engineering probes 13th Week Ready-made calculation software: Microsoft Excel 14th Week Ready-made calculation software: Microsoft Excel, Mathcad
RECOMENDED OR REQUIRED READING	Stormy Attawaw, Matlab: A Practical Introduction to Programming and Problem Solving, Elsevier, Canada, 2009. David J. Eck, Hobart and William Smith Colleges, Introduction to Programming Using Java, 2015. Mark Luiz, Programming Python
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Presentation,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 2 10 Practice 1 20 Total(%) 65 Contribution of In-term Studies to Overall Grade(%) 65 Contribution of Final Examination to Overall Grade(%) 35 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1,5 1,5 Preparation for Quiz Individual or group work 12 2 24 Preparation for Final exam 14 1 14 Course hours 14 3 42 Preparation for Midterm exam 6 1 6 Laboratory (including preparation) 3 6 18 Final exam 1 2 2 Homework 3 5 15 Project 1 15 15 Total Workload 137,5 Total Workload / 30 4,58 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No