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 Area Elective 3 0 0 3 6
Pre-requisite Course(s)
CMPE225
Course Language English
Course Type Elective 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 Ana ders kitabı Bölüm 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 Applies knowledge of mathematics, science, and engineering. X
2 Designs and conducts experiments, analyzes and interprets experimental results.
3 Designs a system, component, or process to meet specified requirements.
4 Works effectively in interdisciplinary fields.
5 Identifies, formulates, and solves engineering problems. X
6 Has awareness of professional and ethical responsibility.
7 Communicates effectively.
8 Recognizes the need for lifelong learning and engages in it. X
9 Has knowledge of contemporary issues.
10 Uses modern tools, techniques, and skills necessary for engineering applications.
11 Has knowledge of project management skills and international standards and methodologies.
12 Develops engineering products and prototypes for real-life problems.
13 Contributes to professional knowledge.
14 Conducts methodological and scientific research.
15 Produces, reports, and presents a scientific work based on original or existing knowledge.
16 Defends the original idea generated.

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 14 3 42
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 149