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
BVS2016	Financial Investment Tools	Spring	1	2	2	3

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

Basic information

Language of instruction:	Turkish
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Instructor CEM KARTAL
Recommended Optional Program Components:	To be able to define financial markets and financial tools,to understand main differences among different money and capital markets instruments,
Course Objectives:	The aim of the course is to let the students understand financial instruments and the evaluation methods used by SPK.

Learning Outcomes

The students who have succeeded in this course;
1. to be able to define financial markets and financial tools,
2. to understand main differences among different money and capital markets instruments,
3. to follow the monetary and capital markets and relation legistlations,
4. to be able to describe financial institutions and the their activities,
5. to understand the developments in financial markets and their effects,
6. to gain the ability of effective use of money and capital market instruments,
7. to understand the main concepts of Interest and can the calculation of risk returns.
8. to act by ethical and gained professional values.

Course Content

Financial Markets, Equities Operations, Bond Transactions, Exchange Markets, Forward Operations, Option Market Operations, Applications, Futures markets, Swap Transactions, Other Types of Securities, Gold and foreign exchange markets, Interactions of Investment Instruments.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Financial Markets	Students are given the course materials a week before.
2)	Equities Operations	Students are given the course materials a week before.
3)	Bond Transactions	Students are given the course materials a week before.
4)	Exchange Markets	Students are given the course materials a week before.
5)	Forward Operations	Students are given the course materials a week before.
6)	Option Market Operations	Students are given the course materials a week before.
7)	Applications
8)	Futures markets	Students are given the course materials a week before.
9)	Swap Transactions	Students are given the course materials a week before.
10)	Other Types of Securities-1	Students are given the course materials a week before.
11)	Other Types of Securities-2	Students are given the course materials a week before.
12)	Other Types of Securities-3	Students are given the course materials a week before.
13)	Gold and foreign exchange markets	Students are given the course materials a week before.
14)	Interactions of Investment Instruments	Students are given the course materials a week before.

Sources

Course Notes / Textbooks:	KORKMAZ, T., CEYLAN, Ali, Sermaye Piyasası ve Menkul Değer Analizi, Ekin Kitabevi, Bursa. CEYLAN, Ali(2004), İşletmelerde Finansal Yönetim, Ekin Kitap Evi, Bursa.
References:	Aksoy,Ahmet , Tanrıöven,Cihan, Sermaye Piyasası Yatırım Araçları ve Analizi,Seçkin Yayıncılık.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	4	% 10
Midterms	1	% 30
Final	1	% 60
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	28
Study Hours Out of Class	10	30
Homework Assignments	12	50
Midterms	1	2
Final	4	8
Total Workload		118

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.