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 |
ENM4107 | Positive Psychology and Career 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 : | |
Recommended Optional Program Components: | Yok |
Course Objectives: | The course is divided to different parts. For the first part main aim is to explain effects of positive psychology and positive organizational behavior on work life. At second part it is aimed to explain and discuss effects of individual and organizational career management on future decisions. |
The students who have succeeded in this course; Students who completed this course completely will be able to I- Learn general concepts about positive psychology II- Realize importance of happiness and subjective well-being on life satisfaction III- Learn the concept of psychological capital IV- Realize the importance of work-life balance for job performance V- Learn general concepts about career management VI- List activities that are organized by organizations related to career management VII- Realize the importance of personal features on career management VIII- Write their CV IX- Learn how to behave at job interviews |
In this course, concepts related to career management and positive psychology will be explained. During positive psychology part basic concepts of positive psychology, the concept of happiness, work-life balance and positive organizational behavior will be discussed. In the part of career management; individual and organizational career management, skills and values, CV writing and, job interviews will be explained. |
Week | Subject | Related Preparation |
1) | Introduction Positive Psychology | Textbooks and presntations |
1) | Business life and career management | Textbooks and presentations |
2) | The meaning of happiness and subjective well-being | Textbooks and presentations |
3) | Positive emotions, self regulation and control | Textbooks and presentations |
4) | Positive Organizational Behavior | Textbooks and presentations |
5) | Work-life balance- SWOT Analysis | Textbooks and presentations |
6) | Job attitudes and effect of positive psychology on work performance | Textbooks and presentations |
7) | Review and Midterm | Textbooks and presentations |
8) | Introduction to career management | Textbooks and presentations |
9) | Career Management in organizations | Textbooks and presentations |
10) | Individual Career Management | Textbooks and presentations |
11) | Realizing your values and skills | Textbooks and presentations |
13) | CV Writing and Job interviews | Textbooks and presentations |
14) | General Review and Relationship between career management and positive psychology | N/A |
Course Notes / Textbooks: | 1. Positive Psychology (2009), by Steve Baumgardner, Marie K. Crothers, Pearson. 2. What color is your parachute? (2018), by Richard N. Bolles, Ten Speed Press |
References: | Managing Careers: theory and practice (2004), by Yehuda Baruch, Prentice Hall. |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 7 | % 35 |
Homework Assignments | 5 | % 25 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Study Hours Out of Class | 14 | 70 |
Homework Assignments | 11 | 33 |
Quizzes | 7 | 7 |
Final | 1 | 3 |
Total Workload | 155 |
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. |