MEC208 Introduction to Algorithm and ProgrammingInstitutional InformationDegree Programs Mechanical Engineering (English)Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering (English)

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MEC208
Course Name: Introduction to Algorithm and Programming
Course Semester: Spring
Course Credits:
ECTS
5
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi FURKAN DÜNDAR
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: The purpose of this course is to help the student learn the general principles of object-oriented programming, including how to design, implement, document, test, and debug computer programs. The course is based on the JAVA programming language.
Course Content: An introduction to the process of program design and analysis for students who have no prior programming experience. Topics to be covered include basic data types and their operators, expressions and assignment statements, I/O, control structures (selection, loops), classes (including methods and fields), arrays, functions and procedures, files.

Learning Outcomes

The students who have succeeded in this course;
1) Assess how Java programs are created, compiled, and run. Distinguish and debug syntax errors, runtime errors, and logic errors.
2) Use selection, control and repetition structures.
3) Design and implement methods.
4) Know the structure of arrays and how to process, search and sort the contents of arrays.
5) Design programs using the object-oriented paradigm. Use UML graphical notations to describe classes and objects.

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Computer Systems
2) Introduction to Programs and Java
3) Elementary Programming 1
4) Elementary Programming 2
5) Selection
6) Mathematical Function, Characters and String
7) Loops
8) Midterm
9) Methods
10) Single-dimensional arrays
11) Multi-dimensional arrays
12) Objects and classes
13) Object oriented thinking
14) Inheritance and Polymorphism
15) Final Exam

Sources

Course Notes / Textbooks: Introduction to JAVA Programming Comprehensive Version 9th Edition, by Daniel J. Liang, Prentice Hall, 2007. Java How to Program, Eighth Edition, by P. Deitel & H. Deitel, Prentice Hall, 2009. Java Software Solutions, 4th Edition, by J. Lewis & W. Loftus, Addison Wesley, 2004.
References: Introduction to JAVA Programming Comprehensive Version 9th Edition, by Daniel J. Liang, Prentice Hall, 2007. Java How to Program, Eighth Edition, by P. Deitel & H. Deitel, Prentice Hall, 2009. Java Software Solutions, 4th Edition, by J. Lewis & W. Loftus, Addison Wesley, 2004.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field.
2) Ability to use advanced theoretical and practical knowledge acquired in the field.
3) Ability to interpret and evaluate data, identify and analyze problems, and develop solution suggestions based on research and evidence, using the advanced knowledge and skills acquired in the field.
4) To be able to inform relevant people and institutions on issues related to the field; Ability to convey thoughts and solution suggestions to problems in written and oral form.
5) Ability to share one's thoughts on issues related to one's field and solutions to problems, supported by quantitative and qualitative data, with experts and non-experts.
6) Ability to organize and implement projects and events for the social environment in which one lives with awareness of social responsibility.
7) Ability to monitor knowledge in the field and communicate with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level.
8) Ability to use information and communication technologies along with computer software at least at the Advanced Level of the European Computer Usage License required by the field.
9) Acting in accordance with social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of the results of data related to the field.
10) Having sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety.
11) Ability to evaluate the advanced knowledge and skills acquired in the field with a critical approach.
12) Ability to identify learning needs and direct learning
13) Being able to develop a positive attitude towards lifelong learning.
14) Ability to independently carry out an advanced study related to the field.
15) Ability to take responsibility individually and as a team member to solve unforeseen complex problems encountered in field-related applications.
16) Ability to plan and manage activities aimed at the development of the employees under his/her responsibility within the framework of a project.

Learning Activity and Teaching Methods

Bireysel çalışma ve ödevi
Course
Homework
Problem Çözme
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Bireysel Proje
Grup Projesi

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Homework Assignments 1 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Study Hours Out of Class 14 3 42
Homework Assignments 3 10 30
Midterms 1 20 20
Final 1 20 20
Total Workload 154