GEP0809 Strategic Roadmaps and InnovationBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
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 3 0 3 4
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: GE-Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi AHMET NACİ ÜNAL
Course Lecturer(s): Dr. Öğr. Üyesi AHMET NACİ ÜNAL
Recommended Optional Program Components: N/A
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 Outcomes

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 / Textbooks: 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
Homework Assignments 1 % 10
Midterms 1 % 15
Final 1 % 60
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
Study Hours Out of Class 14 1 14
Presentations / Seminar 1 10 10
Homework Assignments 14 1 14
Midterms 1 10 10
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) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 4
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 4
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.