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 3 0 0 3 6
Pre-requisite Course(s)
CMPE225
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
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
Major Area Courses
Supportive Courses X
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 Adequate knowledge in mathematics, science and subjects specific to the software engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in software engineering applications; the ability to utilize information technologies effectively. X
5 The ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the software engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 Effective oral and written communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility.
11 Knowledge of the standards utilized in software engineering applications.
12 Knowledge on business practices such as project management, risk management and change management.
13 Awareness about entrepreneurship, and innovation.
14 Knowledge on sustainable development.
15 Knowledge of the effects of software engineering applications on the universal and social dimensions of health, environment, and safety.
16 Awareness of the legal consequences of engineering solutions.
17 An ability to apply algorithmic principles, mathematical foundations, and computer science theory in the modeling and design of computer-based systems with the trade-offs involved in design choices. X
18 The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems. X

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