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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
PRINCIPLES of PROGRAMMING LANGUAGES-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Prof.Dr. Selim AKYOKUŞ
Assistant(s)
AimThe objective of this course is to study the properties of programming languages in general, learn syntax and semantics of programming languages, learn basic constructs that are common to all languages, examine some of these constructs and concepts for specific languages, introduce the main paradigms of computation, languages representative of these paradigms, techniques of implementing various programming language constructs, as well as basic concepts relating to the specification of programming languages.
Course ContentThis course contains; Introduction,Evolution of Major Programming Languages,Describing Syntax and Semantics,Lexical and Syntax Analysis,Names, Bindings, Type Checking, and Scopes,Data Types,Expressions and Assignment Statements,Exam Week,İfade-Seviyesi Kontrol Yapıları ve Altprogramlar ,Implementing Subprograms, Abstract Data Types and Encapsulation Constructs,Support for Object-Oriented Programming,Concurrency,Exception and Event Handling,Functional and Logic Programming Languages.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Understand syntax, semantic, lexical and syntax analysis
Understand and Discuss about evolution of programming languages and the role of procedural, object-oriented, functional, declarative, scripting languages.
Describe in detail the design issues for the primary constructs of the imperative languages
Understand and Describe control statements, discuss subprograms and their implementations, describe the principles and constructs of object-oriented languages.
Have the ability to learn and choose new languages for an area of application easily.
Have ideas about features that should be included in the design of a new language.
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1IntroductionSlides and Sebesta Chap. 1
2Evolution of Major Programming LanguagesSlides and Sebesta Chap. 2
3Describing Syntax and SemanticsSlides and Sebesta Chap. 3
4Lexical and Syntax AnalysisSlides and Sebesta Chap. 4
5Names, Bindings, Type Checking, and ScopesSlides and Sebesta Chap. 5
6Data TypesSlides and Sebesta Chap. 6
7Expressions and Assignment StatementsSlides and Sebesta Chap. 7
8Exam WeekAll Slides and Chapters till Week 8
9İfade-Seviyesi Kontrol Yapıları ve Altprogramlar Slides and Sebesta Chap. 8, 9
10Implementing Subprograms, Abstract Data Types and Encapsulation ConstructsSlides and Sebesta Chap. 10,11
11Support for Object-Oriented ProgrammingSlides and Sebesta Chap. 12
12ConcurrencySlides and Sebesta Chap. 13
13Exception and Event HandlingSlides and Sebesta Chap. 14
14Functional and Logic Programming LanguagesSlides and Sebesta Chap. 15,16
Resources
- Sebesta, Robert W. Concepts of Programming Languages, 11th ed, Addison-Wesley, 2017.
- Michael Scott. Programming Language Prgramatics, 4th edition, Morgan Kaufmann, San Francisco, California, 2015. - R. Toal, R. Rivera, A. Schneider, and E. Choe, Programming Language Explorations, CRC Press, 2017. - Pratt, T.W. & M.V.Zelkowitz. Programming Languages, Design and Implementation. Prentice Hall, 4th ed., 2001.

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.
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.
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
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.
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.
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
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 Hours31442
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report6848
Term Project000
Presentation of Project / Seminar3824
Quiz11515
Midterm Exam12525
General Exam13030
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
PRINCIPLES of PROGRAMMING LANGUAGES-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Prof.Dr. Selim AKYOKUŞ
Assistant(s)
AimThe objective of this course is to study the properties of programming languages in general, learn syntax and semantics of programming languages, learn basic constructs that are common to all languages, examine some of these constructs and concepts for specific languages, introduce the main paradigms of computation, languages representative of these paradigms, techniques of implementing various programming language constructs, as well as basic concepts relating to the specification of programming languages.
Course ContentThis course contains; Introduction,Evolution of Major Programming Languages,Describing Syntax and Semantics,Lexical and Syntax Analysis,Names, Bindings, Type Checking, and Scopes,Data Types,Expressions and Assignment Statements,Exam Week,İfade-Seviyesi Kontrol Yapıları ve Altprogramlar ,Implementing Subprograms, Abstract Data Types and Encapsulation Constructs,Support for Object-Oriented Programming,Concurrency,Exception and Event Handling,Functional and Logic Programming Languages.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Understand syntax, semantic, lexical and syntax analysis
Understand and Discuss about evolution of programming languages and the role of procedural, object-oriented, functional, declarative, scripting languages.
Describe in detail the design issues for the primary constructs of the imperative languages
Understand and Describe control statements, discuss subprograms and their implementations, describe the principles and constructs of object-oriented languages.
Have the ability to learn and choose new languages for an area of application easily.
Have ideas about features that should be included in the design of a new language.
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1IntroductionSlides and Sebesta Chap. 1
2Evolution of Major Programming LanguagesSlides and Sebesta Chap. 2
3Describing Syntax and SemanticsSlides and Sebesta Chap. 3
4Lexical and Syntax AnalysisSlides and Sebesta Chap. 4
5Names, Bindings, Type Checking, and ScopesSlides and Sebesta Chap. 5
6Data TypesSlides and Sebesta Chap. 6
7Expressions and Assignment StatementsSlides and Sebesta Chap. 7
8Exam WeekAll Slides and Chapters till Week 8
9İfade-Seviyesi Kontrol Yapıları ve Altprogramlar Slides and Sebesta Chap. 8, 9
10Implementing Subprograms, Abstract Data Types and Encapsulation ConstructsSlides and Sebesta Chap. 10,11
11Support for Object-Oriented ProgrammingSlides and Sebesta Chap. 12
12ConcurrencySlides and Sebesta Chap. 13
13Exception and Event HandlingSlides and Sebesta Chap. 14
14Functional and Logic Programming LanguagesSlides and Sebesta Chap. 15,16
Resources
- Sebesta, Robert W. Concepts of Programming Languages, 11th ed, Addison-Wesley, 2017.
- Michael Scott. Programming Language Prgramatics, 4th edition, Morgan Kaufmann, San Francisco, California, 2015. - R. Toal, R. Rivera, A. Schneider, and E. Choe, Programming Language Explorations, CRC Press, 2017. - Pratt, T.W. & M.V.Zelkowitz. Programming Languages, Design and Implementation. Prentice Hall, 4th ed., 2001.

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.
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.
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
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.
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.
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
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