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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
PROGRAMMING for ENGINEERS -Fall Semester3+246
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Mehmet Kemal ÖZDEMİR
Name of Lecturer(s)Prof.Dr. Mehmet Kemal ÖZDEMİR
Assistant(s)Youtube videos uploaded for Deitel and Deitel books.
AimThis course introduces the basics of C programming language first, and then presents the introductory topics that lead to the development of C++. The objectives of the course are introducing the concept of algorithm and discuss the steps to be followed starting with the problem definition and ending with a running program to achieve the target, identifying the importance of modular programming and functions, identify the importance of pointers and dynamic memory allocation and extending the concept to the arrays, the concepts of strings, introducing the basic Object-Oriented Concepts and the discussion of its advantages.
Course ContentThis course contains; Introduction to Computer Architecture and C Programming Language,Structured Program Development and Program Control,Modular Programming and functions,Arrays: Part 1,Arrays: Part 2,Pointers: Part 1,Pointers Part 2,Midterm,Characters and Strings,Formatted Input/Output,Structures,Unions,BitManipulationand Enumerations,File Processing,Data Structures,Computer-ScienceThinking, Preprocessors, and some other topics..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Understanding the main syntax for C programming.12, 17, 2, 9A, E, F, G
2. Understanding of pointers, dynamic memory allocation, arrays, and strings in C. 12, 17, 2, 9A, E, F, G
3. Understanding the role of functions in C programming and the parameters of the functions. 12, 17, 2, 9A, E, F, G
4. Understanding the scope of variables and the role of pointers.12, 17, 2, 9A, E, F, G
5. Understanding of the transition to C++.12, 17, 2, 9A, E, F, G
Teaching Methods:12: Problem Solving Method, 17: Experimental Technique, 2: Project Based Learning Model, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Computer Architecture and C Programming LanguageTextbook Chapter 1-2 and Lecture Slides
2Structured Program Development and Program ControlTextbook Chapter 3-4 and Lecture Slides
3Modular Programming and functionsTextbook Chapter 5 and Lecture Slides
4Arrays: Part 1Textbook Chapter 6 and Lecture Slides
5Arrays: Part 2Textbook Chapter 6 and Lecture Slides
6Pointers: Part 1Textbook Chapter 7 and Lecture Slides
7Pointers Part 2Textbook Chapter 7 and Lecture Slides
8MidtermAll the topics covered by the end of the 8th week.
9Characters and StringsTextbook Chapter 8 and Lecture Slides
10Formatted Input/OutputTextbook Chapter 9 and Lecture Slides
11Structures,Unions,BitManipulationand EnumerationsTextbook Chapter 10 and Lecture Slides
12File ProcessingTextbook Chapters 11 and Lecture Slides
13Data StructuresTextbook Chapters 12 and Lecture Slides
14Computer-ScienceThinking, Preprocessors, and some other topics.Textbook Chapter 13-15 and Lecture Slides
Resources
C How to Program, 9th edition by Paul J. Deitel (Author), Harvey Deitel (Author)
Supplementary Text 1 : C How to Program by Deitel and Deitel (7th Edition), http://gph.sc.mahidol.ac.th/puwis/SCPY204/files/programming_in_C.pdf,

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report51680
Term Project000
Presentation of Project / Seminar000
Quiz5420
Midterm Exam11818
General Exam12424
Performance Task, Maintenance Plan000
Total Workload(Hour)184
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(184/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
PROGRAMMING for ENGINEERS -Fall Semester3+246
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Mehmet Kemal ÖZDEMİR
Name of Lecturer(s)Prof.Dr. Mehmet Kemal ÖZDEMİR
Assistant(s)Youtube videos uploaded for Deitel and Deitel books.
AimThis course introduces the basics of C programming language first, and then presents the introductory topics that lead to the development of C++. The objectives of the course are introducing the concept of algorithm and discuss the steps to be followed starting with the problem definition and ending with a running program to achieve the target, identifying the importance of modular programming and functions, identify the importance of pointers and dynamic memory allocation and extending the concept to the arrays, the concepts of strings, introducing the basic Object-Oriented Concepts and the discussion of its advantages.
Course ContentThis course contains; Introduction to Computer Architecture and C Programming Language,Structured Program Development and Program Control,Modular Programming and functions,Arrays: Part 1,Arrays: Part 2,Pointers: Part 1,Pointers Part 2,Midterm,Characters and Strings,Formatted Input/Output,Structures,Unions,BitManipulationand Enumerations,File Processing,Data Structures,Computer-ScienceThinking, Preprocessors, and some other topics..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Understanding the main syntax for C programming.12, 17, 2, 9A, E, F, G
2. Understanding of pointers, dynamic memory allocation, arrays, and strings in C. 12, 17, 2, 9A, E, F, G
3. Understanding the role of functions in C programming and the parameters of the functions. 12, 17, 2, 9A, E, F, G
4. Understanding the scope of variables and the role of pointers.12, 17, 2, 9A, E, F, G
5. Understanding of the transition to C++.12, 17, 2, 9A, E, F, G
Teaching Methods:12: Problem Solving Method, 17: Experimental Technique, 2: Project Based Learning Model, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Computer Architecture and C Programming LanguageTextbook Chapter 1-2 and Lecture Slides
2Structured Program Development and Program ControlTextbook Chapter 3-4 and Lecture Slides
3Modular Programming and functionsTextbook Chapter 5 and Lecture Slides
4Arrays: Part 1Textbook Chapter 6 and Lecture Slides
5Arrays: Part 2Textbook Chapter 6 and Lecture Slides
6Pointers: Part 1Textbook Chapter 7 and Lecture Slides
7Pointers Part 2Textbook Chapter 7 and Lecture Slides
8MidtermAll the topics covered by the end of the 8th week.
9Characters and StringsTextbook Chapter 8 and Lecture Slides
10Formatted Input/OutputTextbook Chapter 9 and Lecture Slides
11Structures,Unions,BitManipulationand EnumerationsTextbook Chapter 10 and Lecture Slides
12File ProcessingTextbook Chapters 11 and Lecture Slides
13Data StructuresTextbook Chapters 12 and Lecture Slides
14Computer-ScienceThinking, Preprocessors, and some other topics.Textbook Chapter 13-15 and Lecture Slides
Resources
C How to Program, 9th edition by Paul J. Deitel (Author), Harvey Deitel (Author)
Supplementary Text 1 : C How to Program by Deitel and Deitel (7th Edition), http://gph.sc.mahidol.ac.th/puwis/SCPY204/files/programming_in_C.pdf,

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43