Course Details

INTRODUCTION TO PROGRAMMING

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
1	BENG105	INTRODUCTION TO PROGRAMMING	3+2+0	4	6

Course Details

Language of Instruction	English
Level of Course Unit	Bachelor's Degree
Department / Program	BIOENGINEERING
Type of Program	Formal Education
Type of Course Unit	Compulsory
Course Delivery Method	Face To Face
Objectives of the Course	To help students understand how to design and program in Python. To introduce biophyton based analysis process. To show why Python is a useful scripting language for scientists
Course Content	Introduction to Programming course is intended for students with little or no programming experience. The course aims to show students the role computation can play in solving problems. The basic principles of Object- Oriented programming will be introduced via the Python programming language and laboratory exercises in biopython.
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Associate Prof.Dr. SEVİL DİNÇER İŞOĞLU duygu.sacar@agu.edu.tr
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	Introduction, Programming principles, The concept of data types, Variables, expressions, and statements, Conditional execution, Functions, Iteration, Lists, Database, Object-Oriented programming, data visualization

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

In-Term Studies	Quantity	Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı	2	% 50
Quiz/Küçük Sınav	10	% 10
Final examination	1	% 40
Total	13	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Belirsiz	1	1	1
Yazılı Sınav	2	3	6
F2F Dersi	14	5	70
Grup Sunumu	1	5	5
Grup Projesi	1	3	3
Kısa Sınav	1	3	3
Okuma	10	2	20
Araştırma	12	3	36
Ders dışı çalışma	14	2	28
Asenkron Ders	1	1	1
Final Sınavı	1	5	5
Total Work Load			Number of ECTS Credits 6 178

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Develop basic programming skills
2	Explain how a problem can be formulated into an algorithm that can be programmed in a computer
3	Readily use the Python programming language
4	Apply the learned methodologies to real problems

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction
2	Programming principles
3	The concept of data types
4	Variables, expressions, and statements
5	Conditional execution
6	Midterm I
7	Fall Break
8	Functions
9	Iteration
10	Lists
11	Databases
12	Midterm II
13	Object-Oriented Programming
14	Visualizing Data
15	Data mining
16	Final

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=70778&lang=en