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- 25TH YEAR
Department of Computer Programming (Turkish)
MBIL 106 | Course Introduction and Application Information
| Course Name |
Algorithmic Problem Solving and Analysis
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MBIL 106
|
Fall/Spring
|
2
|
2
|
3
|
4
|
| Prerequisites |
None
|
|||||
| Course Language |
Turkish
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Short Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | Group WorkProblem SolvingQ&AApplication: Experiment / Laboratory / WorkshopLecture / Presentation | |||||
| National Occupation Classification | - | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The aim of this course is to introduce students to the algorithmic thinking skills, Boolean logic in decision-making processes, and basic algorithm analysis approaches. . Within the scope of the course, students will be able to improve their problem-solving skills and produce algorithmic solutions for real-life problems. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course includes algorithmic thinking, problem-solving approaches, and basic algorithm analysis concepts through practical applications. Throughout the course, algorithm development, pseudocode, decision-making mechanisms, and performance evaluation methods are examined. |
| Related Sustainable Development Goals |
|
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Algorithms and problem solving | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 1 & 2. |
| 2 | Flowcharts and pseudocode | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 3. |
| 3 | Boolean logic (AND, OR, NOT) | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 1 |
| 4 | Decision structures (if-else) | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 3. |
| 5 | Boolean simplification | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 5. |
| 6 | Loops (for, while) | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 5. |
| 7 | Nested loops | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 5. |
| 8 | Midterm Exam | |
| 9 | Introduction to algorithm analysis | Yılmaz Kaya - “Python ile Veri Yapıları ve Algoritma Analizi” Chapter 2 |
| 10 | Big-O logic | Yılmaz Kaya - “Python ile Veri Yapıları ve Algoritma Analizi” Chapter 2 |
| 11 | Problem decomposition | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 6 & 7. |
| 12 | Algorithm design techniques | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 6 & 7. |
| 13 | Error analysis and debugging | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 6 & 7. |
| 14 | Real-life problems | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş”, Chapter 6 & 7. |
| 15 | Semester Review | |
| 16 | Final Exam |
| Course Notes/Textbooks | Fahri Vatansever, “Algoritma Geliştirme ve Programlamaya Giriş” -
Yılmaz Kaya - “Python ile Veri Yapıları ve Algoritma Analizi” – |
| Suggested Readings/Materials | Python ile Algoritma ve Programlama – Kubilay Erkeç
Algoritma Geliştirme ve Veri Yapıları – Bülent Çobanoğlu ISBN: 978-9756-4778-7-8 |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
20
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
50
|
| Total |
| Weighting of Semester Activities on the Final Grade |
2
|
50
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
50
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
2
|
32
|
| Laboratory / Application Hours |
16
|
2
|
32
|
| Study Hours Out of Class |
0
|
||
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
6
|
6
|
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
8
|
8
|
| Final Exam |
1
|
12
|
12
|
| Total |
90
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
To be able to have basic computer hardware and software knowledge. |
X
|
-
|
-
|
-
|
-
|
|
| 2 |
Explain web programming and network technologies and develop applications. |
-
|
-
|
-
|
-
|
-
|
|
| 3 |
Have written, verbal and non-verbal communication skills by doing team work. |
X
|
-
|
-
|
-
|
-
|
|
| 4 |
Do research, analyze and produce solutions for the problems encountered in the field. |
-
|
-
|
X
|
-
|
-
|
|
| 5 |
To be able to use basic programming languages related to the field. |
X
|
-
|
-
|
-
|
-
|
|
| 6 |
To be able to design and install a computer system that includes software, hardware, or both, meeting the basic needs of the field. |
X
|
-
|
-
|
-
|
-
|
|
| 7 |
To be able to interpret and follow current developments in the field of computer programming. |
-
|
-
|
-
|
-
|
-
|
|
| 8 |
To be able to carry professional and ethical responsibility and have awareness of professional ethics in their practices. |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
To have basic theoretical and practical knowledge about mathematics, computing and computer science. |
X
|
-
|
-
|
-
|
-
|
|
| 10 |
To be able to follow the information in the field and communicate with colleagues by using English at the general level of European Language Portfolio A2. |
-
|
-
|
-
|
-
|
-
|
|
| 11 |
To be able to direct his/her education to a further level of education |
-
|
-
|
-
|
-
|
-
|
|
| 12 |
Have knowledge about occupational safety, environmental awareness and quality standards. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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