ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2006	MS C# Laboratory	Spring	1	2	2	5

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi PINAR BÖLÜK
Course Lecturer(s):	Dr. Öğr. Üyesi PINAR BÖLÜK Instructor DUYGU ÇAKIR YENİDOĞAN RA SEVGİ CANPOLAT
Recommended Optional Program Components:	None
Course Objectives:	The purpose of this course is to introduce students the advanced programming concepts supported by the C# programming language. The course is divided into two parts: Lectures and Labs. During these lectures and lab hours, the programming information is implemented with .net platform. Students are expected to be able to design and develop several advanced C# homework and projects. This course includes advanced object oriented programming concepts with C#, classes, inheritance, and polymorphism, essential C #objects for data structures, exception handling and creating interfaces using the .net platform.

Learning Outcomes

The students who have succeeded in this course;
1. Define the object-oriented design principles in programming
2. Develop object-oriented programs using C# classes and objects
3. Identify the fundamentals of graphical user interface with C#
4. Define exceptions and develop programs with exception handling
5. Uses one or more timers at the same time
6. Coordinates multiple forms

Course Content

The course content is composed of .NET Framework, an object oriented programming overview, collections, interfaces,
exceptions, file operations, Windows applications, Windows forms, form controls (Label, Textbox, Listbox, Checkbox,
Groupbox, Picturebox, etc.), multi-forms, dynamic controls (Panels, Events, EventHandlers), designing own user controls,
inheritance, abstract classes, interfaces, operator overloading.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to .NET Framework
2)	Introduction to C# & Using Simple Form Controls (Label, Textbox, Checkbox, Groupbox, etc.)
3)	Listbox usage
4)	Object Oriented Programming Overview in C#
5)	Object Oriented Programming with Form Controls
6)	PictureBox & Graphics Library Usage
7)	ListView & Menu Usage
8)	Working with Multiple Forms
9)	Working with dynamic controls (Panels, Events, EventHandlers)
10)	File Operations
11)	File Operations with Drag and Drop
12)	Designing User Controls
13)	Threads & Timers
14)	Course Review

Sources

Course Notes / Textbooks:	Will be given weekly
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 35
Midterms	1	% 30
Final	1	% 35
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 65
PERCENTAGE OF FINAL WORK		% 35
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	1	14
Laboratory	14	2	28
Study Hours Out of Class	14	3	42
Quizzes	2	4	8
Midterms	1	12	12
Final	1	15	15
Total Workload			119

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.