COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
English for Career Development
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ENG 410
Fall
3
0
3
4
Prerequisites
 To be a senior (4th year) student
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of this course is to prepare our students for starting their professional lives by simulating all stages of the job application process.
Learning Outcomes The students who succeeded in this course;
  • analyze typical information found in job advertisements to determine if the position is right for them
  • write a personalized CV
  • acquire general knowledge of the type of information requested in job application forms
  • write a cover letter by using appropriate content and language
  • utilize various interview strategies effectively during a job interview
  • acquire general knowledge of the content and style of professional follow-up emails
  • apply their basic knowledge of how to handle job offers and rejection, including accepting, declining, and negotiating
  • utilize professional terminology in various contexts related to the job application process
Course Description This course is designed to equip students with the necessary skills and knowledge that they will need when they start their professional lives. The course simulates all stages of the job application process, including topics like finding job openings, CVs, job application forms, cover letters, job interviews, and following up, as well as handling job offers and rejection.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introductory Unit Get an Idea: A Success Story - internal / external factors of success Introduction to the Course PPT -Introductory Unit pgs. 1-6
2 Unit 1 Get to Know Yourself: Researching YOU - personality, skills, SWOT analysis Unit 1 pgs. 7-15
3 Unit 2 Get Inside: Job Hunting - job advertisements, cold calling, Project Unit 2 pgs. 16-24
4 Unit 2 continued Get Inside: Job Hunting - networking, organizational culture Unit 2 pgs. 25-39
5 Unit 3 Get Ready: Preparing Your Documents -CVs Unit 3 pgs. 40-52
6 Unit 3 continued Get Ready: Preparing Your Documents - CVs Homework / Assignment Unit 3 pgs. 53-56
7 Unit 3 continued Get Ready: Preparing Your Documents - cover letters, job application forms Unit 3 pgs. 57-60, 62-72
8 Unit 4 Get Ahead: Prepping for a Job Interview -interview types, interview stages, small talk, personal/research/behavioral questions - Presentation / Jury Unit 4 pgs. 73, 75-91
9 Unit 4 continued Get Ahead: Prepping for a Job Interview - case / strategic questions, first impressions and body language Unit 4 pgs. 89-99, 102-103
10 Unit 4 continued Get Ahead: Prepping for a Job Interview - interview questions about CVs, job interview practice Unit 4 pgs. 101, 104
11 Revision + midterm (job interview)
12 Unit 5 Get a Response: Following up - professional email essentials, follow-up emails Unit 5 pgs. 105-112
13 Unit 6 Get What You Want: Handling Job Offers and Rejection -accepting / declining / negotiating a job offer, salary negotiations, dealing with rejection Unit 6 pgs. 113-126
14 Review of the Semester
15 -
16 Final Exam
Course Notes/Textbooks

Austin Ömürlü, H. (2019). Atlas: Putting your career on the map. (A. Yürekli, Ed.). Izmir: Izmir University of Economics. (in-house)

Suggested Readings/Materials

www.mynextmove.org

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
-
-
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
1
15
Presentation / Jury
1
10
Project
1
10
Seminar / Workshop
-
-
Oral Exam
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
5
80
Weighting of End-of-Semester Activities on the Final Grade
1
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
2
28
Field Work
-
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
1
6
Presentation / Jury
1
5
Project
1
6
Seminar / Workshop
-
-
Oral Exam
Midterms
1
8
Final Exams
1
9
    Total
110

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest