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
ECO4145	Platform Economics	Spring	3	0	3	6

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:	Hybrid
Course Coordinator :	Assoc. Prof. EMİN KÖKSAL
Course Lecturer(s):	Assoc. Prof. EMİN KÖKSAL
Course Objectives:	This course aims the analyse the basic economic principles of platforms that connect one group of customers with another group of customers.

Learning Outcomes

The students who have succeeded in this course;
1. Identify platforms
2. Explain the functioning of a platform
3. Idenfity network effects
4. Evaluate direct and indirect network effects
5. Analyze platform business models
6. Evaluate platforms' behaviours
7. Analyze platforms' competitive strategies
8. Acquire a solid understanding for promotion and subsidy strategies

Course Content

After an introduction to the basic concepts and principles of platform economics, value creation and ecosystem of platforms will be analyzed. Business models and competitive strategies of the local and global companies such as Yemeksepeti, Bitaksi, Gitti Gidiyor, eBay, Amazon, Alibaba, Uber, Airbnb, Booking will also be elaborated both from theoretical and empirical perspectives.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and Basic Concepts
2)	Economic Principles for Platforms
3)	The Technologies Behind Platforms
4)	How Multi-Sided Platforms Create Value
5)	Getting off the Critical Mass
6)	Pricing for Profitability and Growth
7)	Shaping the Platform’s Ecosystem
8)	Designing the Platform
9)	Evaluating Platform Pioneers
10)	The Transformation of Payments
11)	The Transformation of Retail
12)	Antitrust Issues in Platform Economics
13)	Public Policy Towards Platforms
14)	The Future of Platforms

Sources

Course Notes / Textbooks:	David S. Evans and Richard Schmalensee, Matchmakers: The New Economics of Multisided Platforms, Boston: Harvard Business School Press, 2016.
References:	Alvin Roth, Who Gets What and Why: The New Economics of Matchmaking and Market Design (New York: Houghton Mifflin Harcourt, 2015). Carl Shapiro and Hal R. Varian, Information Rules (Cambridge, MA: Harvard Business School Press, 1998)

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Presentation	1	% 20
Midterms	1	% 30
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
Study Hours Out of Class	14	3	42
Presentations / Seminar	1	18	18
Midterms	1	20	20
Final	1	30	30
Total Workload			152

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.