COMPUTER 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
IF4838	Timing and Forecasting in Financial Markets	Spring	3	0	3	9

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 BAHAR KÖSEOĞLU
Course Lecturer(s):	Dr. Öğr. Üyesi HAKKI ÖZTÜRK
Recommended Optional Program Components:	None
Course Objectives:	Timing and forecasting in financial markets course was designed to familiarize the students with the basics of technical analysis and teach how to correctly use technical tools. Technical analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, it does not result in absolute predictions about the future. Instead, the tools used for forecasting can help investors anticipate what is "likely" to happen to prices over time. The course will help the students to forecast for short-term stock market trends and also will show the techniques for long term predictions. A program called Metastock will be used in class. The updated data for all the markets (stock, fx, commodity, money markets) will be provided by matriks. This course provides an insight to the trading rules and the indicators of technical analysis. At the end of the course, the students are expected to figure out how to forecast the market and price movements in financial markets using major patterns, indicators and oscillators.

Learning Outcomes

The students who have succeeded in this course;
I.to be able to learn how to use Metastock program
II. to be able to learn how to read price charts
III. to be able to know major indicators and oscillators and use them in trading
IV.to be able to learn trading rules and timing in security markets
V.to be able to figure out how to forecast the market and price movements in financial markets
VI.to be able to construct a buy-sell systems in Metastock program

Course Content

Metastock program, price charts, major indicators and oscillators , timing in security markets, construct a buy-sell systems

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Technical Market Analysis Introduction to Metastock Program
2)	How to Use Metastock Program
3)	Chart Reading, Interpretation of Price Charts
4)	Major Patterns in Financial Markets
5)	Moving Averages
6)	Random Walk Index, MACD
7)	Momentum, P(ROC)
8)	Cycles, Timing Systems, Elliot Wave, Bollinger Bands
9)	Polarized Fractal Efficiency, Parabolic SAR
10)	Money Flow Index-Commodity Channel Index
11)	Stochastic, RSI, Trix, Directional Moving Indicator
12)	Timing and Forecasting Methods Using Some Indicators and Oscillators
13)	Timing and Forecasting Methods Using Some Indicators and Oscillators
14)	Constructing a Buy-Sell System in Metastock

Sources

Course Notes / Textbooks:	Technical Analysis Explained by Martin J. Pring.
References:	Essentials of Technical Analysis for Financial Markets, James Chen, John Wiley & Sons

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 10
Midterms	1	% 40
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Application	14	2	28
Study Hours Out of Class	14	3	42
Homework Assignments	1	25	25
Midterms	1	35	35
Final	1	45	45
Total Workload			217

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)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	2
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.	2
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.