COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Programming Paradigms
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 316
Spring
2
2
3
5
Prerequisites
 SE 116To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Application: Experiment / Laboratory / Workshop
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course introduces different programming paradigms and programming languages. The student is exposed to different approaches to programming to improve their understanding of the field and gain more experience in solving problems.
Learning Outcomes The students who succeeded in this course;
  • Implement imperative programs,
  • Explain design issues in object-oriented programming languages,
  • Use threads to create concurrent programs that share common resources,
  • Solve computing problems using scripting languages,
  • Explain functional programming languages,
  • Describe logic programming languages,
  • Operate as part of a team to develop a project.
Course Description Different programming paradigms such as Imperative Programming, C Programming Language, Memory Management, Concurrent Programming, Threads, Resource Sharing, Scripting, Python, Functional Programming Languages, Logic Programming Languages are introduced along with practical sessions in these paradigms.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Programming Paradigms and Languages Concepts of Programming Languages, Chapter 2
2 Imperative Programming: Introduction to C Programming Language C Programming Language, Chapters 1-4
3 Imperative Programming: Pointers and Memory Management C Programming Language, Chapter 5
4 Imperative Programming: Structures C Programming Language, Chapter 6
5 Imperative Programming: File I/O C Programming Language, Chapter 7
6 Object Oriented Programming: Thinking in objects Concepts of Programming Languages, Chapter 12
7 Concurrent Programming: Threads Concepts of Programming Languages, Chapter 13
8 Concurrent Programming: Semaphores and Monitors Concepts of Programming Languages, Chapter 13
9 Midterm Exam 1
10 Scripting: Python Introducing Python, Chapters 1-3 and Appendix C
11 Functional Programming Languages: LISP Concepts of Programming Languages, Chapter 15
12 Logic Programming Languages: Prolog Concepts of Programming Languages, Chapter 16
13 Midterm Exam 2
14 Project Presentations
15 Semester Review
16 Final Exam
Course Notes/Textbooks

Concepts of Programming Languages, Eleventh Edition, Robert W. Sebesta. Pearson, 2016, 978-0133943023

Suggested Readings/Materials

The C Programming Language, 2nd Edition, Brian W. Kernighan and Dennis M. Ritchie. Prentice Hall, 1988, 0131103628

Introducing Python, Bill Lubanovic. O’Reilly, 2015, 978-1449359362

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
5
Field Work
Quizzes / Studio Critiques
2
15
Portfolio
Homework / Assignments
1
5
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterm
2
50
Final Exam
Total

Weighting of Semester Activities on the Final Grade
7
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
14
2
28
Field Work
Quizzes / Studio Critiques
2
4
Portfolio
Homework / Assignments
1
4
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterms
2
8
Final Exams
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest