ECTS - Study of Programming Languages

Study of Programming Languages (CMPE325) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Study of Programming Languages CMPE325 5. Semester 3 0 0 3 6
Pre-requisite Course(s)
CMPE225
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to teach different programming language concepts and paradigms, such as imperative, functional, and object-oriented paradigms. The students will be able to compare how different programming concepts are handled in different type of languages. The students get a chance to apply their knowledge by completing homework assignments written in example programming languages.
Course Learning Outcomes The students who succeeded in this course;
  • Discuss main constructs of contemporary programming languages
  • Gain necessary knowledge for the evaluation of programming languages
  • Gain necessary background knowledge for the compiler design.
Course Content Study of programming language concepts: syntax and semantics, types, values, expressions, and statements; program structure; procedures and functions; structured data; abstraction and encapsulation; inheritance; dynamic binding; concepts of programming paradigms by means of functional, procedural, and object-oriented programming languages.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Preliminaries and Introduction Chapter 1 (main text)
2 Syntax and Semantics Chapter 3.1, 3.2, 3.3
3 Lexical and Syntax Analysis Chapter 4.1, 4.2, 4.3, 4.4
4 Names, Bindings, Type Checking, Scopes Chapter 5
5 Names, Bindings, Type Checking, Scopes Chapter 5
6 Data Types, Expressions Chapter 6
7 Expressions and Assignment Statements Chapter 7
8 Statement Level Control Structures Chapter 8
9 Subprograms Chapter 9
10 Subprograms Chapter 9
11 Implementing Subprograms Chapter 10
12 Abstract Data Types and Encapsulation Chapter 12
13 Functional Programming Chapter 15
14 Functional Programming Chapter 15
15 Review
16 Review

Sources

Course Book 1. Robert W. Sebesta, Concepts of Programming Languages, 10th Edition, Pearson, 2012. ISBN #978-0-321-50968-0.
Other Sources 2. David A. Watt, Programming Language Design Concepts, Wiley, 2004.
3. http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html
4. http://www.python.org/
5. http://www.haskell.org/
6. http://www.haskell.org/haskellwiki/Definition

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 55
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 8 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 139