YZZ108 Algorithms and Programming II

6 ECTS - 3-2 Duration (T+A)- 2. Semester- 4 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH)
Code YZZ108
Name Algorithms and Programming II
Term 2025-2026 Academic Year
Semester 2. Semester
Duration (T+A) 3-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label FE Field Education Courses C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Cevher ÖZDEN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The purpose of the course is to introduce the idea of developing an algorithm to students for problem solving, to bring the knowledge of developing a program using their algorithm and to introduce some frequently used algorithms.

Course Content

Once the computers, algorithms and flow charts are discussed in the course, data structers of computers, mathematical operations, conditions and loops, subroutines and functions, sorting and searching algorithms will be given. The written algorithms will be coded with Python and the student will gain basic programming skills.

Course Precondition

None

Resources

1. Benjamin Baka. (2017). Python Data Structures and Algorithms : Implement Classic and Functional Data Structures and Algorithms Using Python. Packt Publishing 2. Parker, J. R. (2021). Python : An Introduction to Programming. Mercury Learning and Information. 3. Başer, M. (2012). Python. Dikeyeksen.

Notes

https://www.python.org/ ve diğer internet kaynakları


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Uses algorithm and flowchart.
LO02 Defines data structers of computers.
LO03 Writes an algorithm and program for some basic operations.
LO04 Uses conditions and loops in alogrithms and programs.
LO05 Uses algorithms and programs effectively with the help of subroutines and functions.
LO06 Writes an algorithm and program for sorting and searching operations.
LO07 Uses Python to code the developed algorithm.
LO08 Debugs the written program.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal It provides a broad range of knowledge about fundamental Computer Science concepts, algorithms and data structures. 4
PLO02 Bilgi - Kuramsal, Olgusal Learns basic computer topics such as software development, programming languages, and database management. 4
PLO03 Bilgi - Kuramsal, Olgusal Understands advanced computing fields such as data science, artificial intelligence, and machine learning. 3
PLO04 Belirsiz Learn about topics such as computer networks, cyber security, and database design.
PLO05 Beceriler - Bilişsel, Uygulamalı Develops skills in designing, implementing and analyzing algorithms. 4
PLO06 Beceriler - Bilişsel, Uygulamalı Gains the ability to use different programming languages effectively 3
PLO07 Beceriler - Bilişsel, Uygulamalı Learns data analysis, database management and big data processing skills.
PLO08 Beceriler - Bilişsel, Uygulamalı Gains practical experience by working on software development projects. 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Strengthens collaboration and communication skills within the team.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik It provides a mindset open to technological innovations.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Encourages continuous learning and self-improvement competence.
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Develops the ability to solve complex problems. 3


Week Plan

Week Topic Preparation Methods
1 Basic concepts: Computer, computer program, algorithm, flow chart, compiler - 1 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Basic concepts: Computer, computer program, algorithm, flow chart, compiler - 2 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 The structure of a computer program, designing a program, divide and conquer: subprogramsand functions, Pyhton environment - 1 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
4 The structure of a computer program, designing a program, divide and conquer: subprogramsand functions, Pyhton environment - 2 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
5 Variables, constants, arrays, comments Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
6 Basic mathematical operations Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
7 Conditions: if-then-else and switch-case. Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
8 Mid-Term Exam General review for the midterm exam Ölçme Yöntemleri:
Proje / Tasarım
9 Loops - 1 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
10 Loops - 2 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
11 Subprograms and functions - 1 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
12 Subprograms and functions - 2 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Sorting and searching algorithms - 1 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
14 Sorting and searching algorithms - 2 Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Debugging a program Related chapter in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
16 Term Exams General review for the final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams General review for the final exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 5 70
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 5 3 15
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 15 15
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 28.08.2025 02:30