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
IF4420	Mergers and Acquisitions	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 UMUT UĞURLU Prof. Dr. İPEK ALTINBAŞAK FARİNA
Recommended Optional Program Components:	None
Course Objectives:	This course aims at providing students an analytical and theoretical framework to understand the M&A process and will also use cases and real-world applications to develop skills necessary to evaluate and implement a transaction.

Learning Outcomes

The students who have succeeded in this course;
The student who successfully completes this course;
I. will have a thorough knowledge of the value drivers of a company
II.Will be able to assess a company within the context of its competitive advantage and the industry it operates in
III.Will learn the process of M&A of a company
IV.Will know the difference of the M&A process from the buyer or seller perspectives
V.Be able to do basic company valuation
VI Have an insight to the participants of the M&A process, negotiation process and the legal documents involved in M&A process.

Course Content

Valuation, valuation techniques, M&A process, Negotiations

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Why companies are bought or sold?
2)	Why the industry in which the company operates is important? Hence industry analysis
3)	What make the medium and small companies differ from the big ones
5)	Valuation II
5)	What are the value drivers of a company?
6)	Valuation II
7)	Most used valuation techniques
8)	Other valuation techniques
9)	M&A process
10)	M&A milestones
11)	Negotiation I
12)	Negotiation II
13)	Due diligence
14)	Wrap up

Sources

Course Notes / Textbooks:	Mergers & Acquisitions ,A. Sherman and Milledge Hart (2006), Investment Valuation, Aswath Damodaran (2002)
References:	Yok / None

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 20
Midterms	1	% 35
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	4	56
Homework Assignments	1	35	35
Midterms	1	40	40
Final	1	45	45
Total Workload			218

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.