ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
INE4102 | Strategic Management | Spring | 3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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 : | Assoc. Prof. AHMET BEŞKESE |
Course Lecturer(s): |
Assoc. Prof. AHMET BEŞKESE |
Recommended Optional Program Components: | None |
Course Objectives: | As a capstone course, the objectives of the course are to: CO1: Provide the students with a wholistic view of both a single business and a more complicated enterprise. CO2: Define the framework how companies formulate, implement, and evaluate strategies. CO3: Develop strategic decision making skills to analyze and deal with complex business problems. CO4: Develop an understanding for integrating the concepts and techniques learned in earlier courses in management, production, information systems, economy, accounting, marketing, etc. |
The students who have succeeded in this course; I. Define general concepts related to strategic management II. Identify the stakeholders of a company III. Evaluate the mission and vision statements of a company IV. Define the key environmental factors having an impact on a company V. Analyze the opportunities and threats posed by the environment for a given company VI. Identify the value chain of any company VII. Explain the strengths and weaknesses of a company VIII. Define the competitive (business-level) strategies IX. Define the corporate-level strategies X. Criticize the portfolio of an enterprise using BCG, McKinsey or Industry Evolution Matrices XI. Relate the concepts and techniques learned in earlier courses in management, production, information systems, economy, accounting, marketing, etc. XII. Analyze a strategic management case |
Strategy development process, evaluation of external and internal factors, SWOT analysis, strategy types, competitive positioning, business development, value management, actions planning, business planning. |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | Main concepts in strategic management | |
3) | Corporate Mission, Goals, and Stakeholders | |
4) | Analyzing the External Environment of the Firm | |
5) | Analyzing the Internal Environment of the Firm | |
6) | Business-Level Strategy | |
7) | Corporate-level Strategy | |
8) | Tutorial, Midterm Exam | |
9) | Analyzing and Changing the Corporate Portfolio | |
10) | International Strategy | |
11) | Strategic Control and Corporate Governance | |
12) | Designing Organizational Structure | |
13) | Case Study Presentations | |
14) | Case Study Presentations and a General Overview |
Course Notes / Textbooks: | Johnson, G., Whittington, R. and Scholes, K.(2012). Fundamentals of Strategy, 2nd Edtn., Prentice Hall. |
References: | David, F.R. (2011). Strategic Management: Concepts, 13th Edtn., Pearson. Dess, G. G., Lumpkin, G. T., and Taylor, M. L. (2005). Strategic Management: Creating Competitive Advantage, 2nd Edtn., McGraw-Hill. Wheelen, T. L., Hunger, J. D. (2006). Strategic Management and Business Policy, 10th edtn., Pearson Prentice Hall, New Jersey, USA. |
Semester Requirements | Number of Activities | Level of Contribution |
Presentation | 1 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 40 |
Study Hours Out of Class | 14 | 60 |
Presentations / Seminar | 1 | 2 |
Project | 4 | 16 |
Midterms | 1 | 2 |
Final | 1 | 2 |
Total Workload | 122 |
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. |