POL3501 Career Development in Political Science and International RelationsBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
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
POL3501 Career Development in Political Science and International Relations Spring 3 0 3 6
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: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Hybrid
Course Coordinator : Assoc. Prof. ESRA ALBAYRAKOĞLU
Course Lecturer(s): Prof. Dr. EBRU ŞULE CANAN SOKULLU
Recommended Optional Program Components: None.
Course Objectives: Öz farkındalık ve kariyer, karar verme becerileri ve kariyer planlama, yazılı iletişim, iş arama, başvuru yapma, motivasyon mektubu hazırlama, işe alınma, iş bulmada internet ve sosyal medyanın kullanımı, LinkedIn sitesi hazırlama, uluslararası örgütler, sivil toplum örgütleri ve özel sektörde çalışma hayatı, diplomasi ve dış ilişkiler servislerinde çalışma hayatı, medyada çalışma hayatı.

Learning Outcomes

The students who have succeeded in this course;
I. Identify the communication style in career applications
II. Differentiate between a resume and a cover letter
III. Create a LinkedIn website
IV. Prepare for successful interviews
V. Articulate themselves properly in Statement of Purpose

Course Content

1st Week: Introduction
2nd Week: Self-awareness, self-knowledge and career
3rd Week: Decision skills and career decision making
4th Week: World in change and careering
5th Week: Written communications in job hunting
Student Portfolio I: Resume and a cover letter
6th Week: Recruitment and employment
Guidelines for the Student Portfolio II will be detailed by the instructor.
7th Week: Web and social media in job hunting
Student Portfolio II: Preparation and completion of a LinkedIn website with at least 10 connections, including the instructor.
8th Week: Working in Global Politics: International Organisations
9th Week: Working in Global Politics: Non-Governmental Organisations
10th Week: Diplomacy and foreign affairs
11th Week: Working in Global Economy: Private Sector
12th Week: Working in Media
Student Portfolio III: Interview report with the selected professional (Guideline will be provided in Week 6)
13th Week: Academic Pathways and Global Education
Student Portfolio IV: Statement of Purpose for * two different universities with different graduate programs
14th Week: Review

Weekly Detailed Course Contents

Week Subject Related Preparation
1) 1st Week: Introduction
2) 2nd Week: Self-awareness, self-knowledge and career
3) 3rd Week: Decision skills and career decision making
4) 4th Week: World in change and careering
5) Written communications in job hunting
6) Student Portfolio I: Recruitment and employment
7) Web and social media in job hunting
8) Student Portfolio II: Working in Global Politics - International Organisations
9) Working in Global Politics: Non-Governmental Organisations
10) Diplomacy and foreign affairs
11) Working in Global Economy: Private Sector
12) Working in Media
13) Student Portfolio III: Academic Pathways and Global Education
14) Student Portfolio IV: Review

Sources

Course Notes / Textbooks: Articles in Course Package
References: Articles in Course Package

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 13 % 20
Presentation 2 % 40
Project 2 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 13 39
Study Hours Out of Class 13 70
Presentations / Seminar 2 1
Project 2 40
Total Workload 150

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.