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
COP4430	NOKIA Large Scale E2E Projects Implementation	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:	Face to face
Course Coordinator :
Course Lecturer(s):	Dr. Öğr. Üyesi ADNAN ÇORUM Prof. Dr. NAFİZ ARICA
Course Objectives:	Large scale projects are different in structure. This course main objective is the delivery of the know-how on design, implimantation, finans, follow up and legal issues of a large scale project. Any necessary application will be done telecom projects taken as an example. Lecturers will deliver the material blended with real world application experiences. Hence, the students will be exposed to the problems, solutions and processes of large scale project management in a E2E frame. This would be specially crucial in the sense that the legal, risk management and exit strategies of these projects show great difference than other smaller scale projects

Learning Outcomes

The students who have succeeded in this course;
1) will gain knowledge on E2E project concept
2) learn the differences between large and smaller scale projects
3) gain the insight to ask the appropriate question at the prelaunch stage
4) gain knowledge on the bid stage negotiations
5) get practical information on how to prepare a project contract from financial, legal, and procedural perspectives
6) learn the fundamentals of risk management and operational risk management
7) how the telecommunications sector large scale projects differ
8) get familiar with the procedures of roll-out, delivery, and support

Course Content

The course will start with presenting the strucutre, nature and history of telecommunicaitons sector. Following how large scale projects are structured based on the customers needs, how these needs could be understood would be covered. Later the proposal stage will be studied. Here, the legal, financial, risk management issues would be highlighted. At teh implimentation stage a telecommunication project will be taken as example. Sustainability of the whole process. The course will conclude with roll-out and delivery of the final project and folow up processes

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to telecom networks; The brief history & evolution of telecom industry from the early days till now
2)	Basics of mobile networks & systems; General knowledge about mobile networks & generic products
3)	Principles of Sales; What to sell, how to sell, solution creation
4)	Principles of Sales; Customer engagement, network design
5)	Bid Management; Sales support organization, tendering, pricing, deal assurance
6)	Contract Management; Risk order, early ramp-up, LoA (Limits of Authority)
7)	Contract Management; Finance and Controlling (Annual Planning)
8)	Mid Term
9)	Lab Visit; Test-bed, Product Portfolio
10)	Network Implementation Model of Delivery; Project ramp-up, start-up, resourcing, procurement
11)	Network Implementation; Project ramp-up, start-up, resourcing, procurement
12)	Delivery; Roll-out
13)	Delivery; Acceptance, quality, closure, handover to care
14)	Review & Closure

Sources

Course Notes / Textbooks:	Dersi verecek tarafından notlar hazırlanarak ders öncesi dağıtılacaktır Will be prepared and distributed by the lecturer
References:	The principles of project management / Williams, Meri / Site Point 2008 / ISBN-13: 978-0980285864

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	4	% 10
Project	1	% 25
Midterms	1	% 25
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 35
PERCENTAGE OF FINAL WORK		% 65
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	13	2	26
Presentations / Seminar	1	5	5
Project	1	30	30
Quizzes	4	2	8
Midterms	1	12	12
Final	1	18	18
Total Workload			141

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.