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
GEP0809 Strategic Roadmaps and Innovation Fall
Spring
 3 0 3 4
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: GE-Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi AHMET NACİ ÜNAL
Course Lecturer(s): Dr. Öğr. Üyesi AHMET NACİ ÜNAL
Course Objectives: This course is an introduction of the concepts of strategy, strategic management, strategic roadmaps, innovation, technology management, technology foresight, and technology forecast. The definitions and the techniques of strategy, innovation, strategic management, strategic roadmaps, technology management, technology forecast, and technology foresight will be discussed with simple applications.

Learning Outputs

The students who have succeeded in this course;
•Understanding the Concepts of Strategy, Innovation, Strategic Management and Strategic Roadmaps
•Learning the Steps of Strategic Management;
•Recognizing The Types of Strategic Thinking
•Preparing and Presenting Strategic Roadmaps
• Learning about the Technology management, technology forecast, and technology foresight.

Course Content

Strategy, Strategic Management, Innovation, Strategic Roadmaps, Technology Management, Technology Forecast, and Technology Foresight.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction Lecturer Notes.
2) Strategy, Strategic Management, Innovation and General Concepts YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015.
3) Strategic Management T. Çiftçi, Stratejik Yönetim Cep Kitabı, İSO Yayınları, 2011.
4) Intelligence Science and Strategy YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015.
5) Management and Management Functions Lecturer Notes
6) Decision Making and Decision Theory YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015.
7) Decision Making and Decision Theory YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015.
8) Decision Making and Decision Theory YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015.
9) Case Study Lecturer Notes
10) Technology Management Lecturer Notes
11) Technology Forecast and Technology Foresight Lecturer Notes
12) Strategy Development Tools Lecturer Notes
13) Strategy Development Process Lecturer Notes
14) Cyberspace, Strategy and Innovation ÜNAL A.N., “Siber Güvenlik ve Elektronik Bileşenleri”, Nobel Yayıncılık, 2015.
15) Final Exam
16) Final Exam

Sources

Course Notes: YARMAN B.S.B., ÜNAL A.N., “Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sitemleri”, Nobel Yayıncılık, 2015. T. Çiftçi, Stratejik Yönetim Cep Kitabı, İSO Yayınları, 2011. T. Çiftçi, Stratejik Yönetim Cep Kitabı, İSO Yayınları, 2011. ÜNAL A.N., “Siber Güvenlik ve Elektronik Bileşenleri”, Nobel Yayıncılık, 2015.
References: T. Çiftçi vd. Yeni İş Geliştirme, İSO Yayınları, 2004. T. Çiftçi, Üç Adımda Stratejik Yönetim, İSO Yayınları, 2010. A. Sungur vd. Sanayide Özdeğerlendirme, İSO Yayınları, 2011. U. Tiryakioğlu vd. Yeni Ürün ve Tesis Yatırımlarında Fizibilite, İSO Yayınları, 2011. M.Porter, Rekabet Stratejisi, Sistem Yayıncılık, 2000. P.Schwarts, The Art of Long View, Doubleday Currency 1996.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 15
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 1 % 10
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 1 % 15
Preliminary Jury 0 % 0
Final 1 % 60
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 1 14
Presentations / Seminar 1 10 10
Project 0 0 0
Homework Assignments 14 1 14
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 10 10
Paper Submission 0 0 0
Jury 0 0 0
Final 1 10 10
Total Workload 100

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.