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 |
GEP0301 | Innovative Career Development | Fall | 3 | 0 | 3 | 4 |
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: | GE-Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. HATİCE NECLA KELEŞ |
Course Lecturer(s): |
Assoc. Prof. HATİCE NECLA KELEŞ |
Recommended Optional Program Components: | None |
Course Objectives: | To support students to look at theirselves deeply before their graduation, examine the concept of entrepreneurship and e-entrepreneurship, determine students’ enterpreneurship tendencies and designate SMART goals. Examine the effects of digital transformation and Industry 4.0 on human resource practices, examine automated jobs and professions. Inform students about “VisualCV” and “videorecruit” which are the favorite tools of digital human resources management. Bring close together the students with both different sector employees and successful entrepreneurs to listen their experiencing about business life. |
The students who have succeeded in this course; - Designs alternative career ways that will suits his/her needs. - Discovers his/her values, strong and developable attitudes. - Express and comments topic of arguments. - Listens and observes the others ( Student, guest speakers and instructor) - Collaborates and becomes partners with his/her friends on sector researchs , job applications etc. - Develops office skills (establishing effective relation, networking etc.) that are required in business life. |
With the effect of digital transformation and Industry 4.0 to human resource practices, career-oriented personal development and communication methods are taught by examine the automated jobs and professions. |
Week | Subject | Related Preparation |
1) | From back to future examine the concepts career, job and profession. | Course notes |
2) | Personal career planning process | Course notes |
3) | Definition SMART Goal | Course notes |
4) | Personal SWOT Analysis | Course notes |
5) | Effects of digital transformation and Industry 4.0 to human resource practices | Course notes |
6) | Business life in the future; automated jobs and professions | |
7) | Writing CV and/or VisualCV, examine samples from diferent professions | Course notes |
8) | Videorecruit and practice | Course notes |
9) | Online recruitment, national and global samples | Course notes |
11) | Entrepreneurship and E-Entrepreneurship, national and global samples. | Course notes |
12) | Entrepreneurship tendency and vocational typologies. | Course notes |
13) | Managers views about digital transformation and Industry 4.0 effects on career management and presentations | Course notes |
14) | Managers views about digital transformation and Industry 4.0 effects on career management and presentations | Course notes |
Course Notes / Textbooks: | Richard Bolles, What Color is Your Parachute? 2017: A Practical Manual for Job-Hunters and Career-Changers. Emily Anderson, Job Hunting: The Insider's Guide to Job Hunting and Career Change: Learn How to Beat the Job Market, Write the Perfect Resume and Smash it at Interviews, 2017, |
References: | MÜSİAD (2010). Girişimcinin Yol Haritası, İstanbul: MÜSİAD Yayını. Drucker, Peter F. (2002). The Discipline of Innovation, Harvard Business Review. |
Semester Requirements | Number of Activities | Level of Contribution |
Presentation | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Presentations / Seminar | 1 | 15 | 15 |
Midterms | 1 | 15 | 15 |
Final | 1 | 20 | 20 |
Total Workload | 92 |
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. |