YZZ107 Algorithms and Programming I

6 ECTS - 3-2 Duration (T+A)- 1. Semester- 4 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH)
Code YZZ107
Name Algorithms and Programming I
Term 2025-2026 Academic Year
Semester 1. 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 BS Basic Science Courses C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Cevher ÖZDEN
Course Instructor Dr. Öğr. Üyesi Cevher ÖZDEN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to instill in students the ability to develop algorithms for problem solving, to provide them with the knowledge of translating algorithms into computer programs, and to introduce some frequently used algorithms.

Course Content

This course will discuss computers, algorithms, and flowcharts, followed by computer data structures, mathematical operations, conditionals and loops, subroutines and functions, sorting algorithms, and program analysis. The algorithms are coded in Python, providing students with basic programming skills.

Course Precondition

None

Resources

https://www.python.org/ ve other network sources

Notes

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.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Uses algorithms and flowcharts.
LO02 Defines data structures in the computer.
LO03 Writes algorithms and programs for some basic operations.
LO04 Uses conditionals and loops in algorithms and programs.
LO05 Uses algorithms and programs effectively with the help of subroutines and functions.
LO06 Writes algorithms and programs for sorting and searching operations.
LO07 Codes the algorithms writes using Python.
LO08 Analyzes the program wrote.


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, flowchart, compiler - 1 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Basic concepts: Computer, computer program, algorithm, flowchart, compiler - 2 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Computer program structure, program design, divide and conquer: subroutines and functions, Python environment - 1 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
4 Computer program structure, program design, divide and conquer: subroutines and functions, Python environment - 2 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
5 Variables, constants, arrays, declarations Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
6 Basic mathematical operations Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
7 Conditions: if-then-else and switch-case. Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
8 Mid-Term Exam General preparation for the midterm exam Ölçme Yöntemleri:
Proje / Tasarım
9 Loops - 1 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
10 Loops - 2 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
11 Subroutines and functions - 1 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
12 Subroutines and functions - 2 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Sorting and search algorithms - 1 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
14 Sorting and search algorithms - 2 Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Analyze the program Relevant section in course resources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
16 Term Exams General preparation for the final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams General preparation 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 02:22