FACULTY OF BUSINESS

Department of Economics

IUE 100 | Course Introduction and Application Information

Course Name
Orientation and Career Planning
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IUE 100
Fall
1
0
1
2

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s) -
Assistant(s) -
Course Objectives This course aims to prepare students for university education and campus life and enable them to develop their academic, social and personal skills needed during university education and guide the students to prepare for their professional career.
Learning Outcomes The students who succeeded in this course;
  • use the facilities provided by the academic and administrative units of the university,
  • describe the academic skills such as notetaking, academic reading, accessing information, time management and analytical thinking,
  • explain social skills such as effective communication and entrepreneurship,
  • recognize their strengths and weaknesses using strategies such as goal setting, self-awareness, and mindfulness,
  • outline the steps to engage in career planning.
Course Description The course will help students recognize the skills needed for university life and their career goals. These skills include self-awareness, goal setting, time management, effective communication, mindfulness and analytical thinking. The course will also raise students’ awareness on problems such as addiction and bullying.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction: Aims and Expectations University Life: Academic units, administrative units, and student clubs Videos and presentations in the Learning Management System
2 Academic Skills: Learning to learn Presentation in the Learning Management System
3 Academic Skills: Instructional technologies Presentation in the Learning Management System
4 Academic Skills: Notetaking and academic reading Presentations in the Learning Management System
5 Academic Skills: Accessing information and academic integrity Presentations in the Learning Management System
6 Effective time management Presentation in the Learning Management System
7 Analytical thinking Presentation in the Learning Management System
8 Goal setting and self-awareness Presentations in the Learning Management System
9 Effective communication and Entrepreneurship Videos in the Learning Management System
10 Addiction and Mindfulness Video in the Learning Management System
11 Bullying Video in the Learning Management System
12 Career Talks I: Experiences, Success and Failure Stories Videos in the Learning Management System
13 Career Talks II: Experiences, Success and Failure Stories Videos in the Learning Management System
14 CV writing and job interviews Presentations in the Learning Management System
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks

NA

Suggested Readings/Materials

NA

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
30
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
70
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
-
-
Final Exam
Total

Weighting of Semester Activities on the Final Grade
2
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
1
16
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
1
14
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
20
20
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
-
-
0
Final Exam
0
    Total
50

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to acquire a sound knowledge of fundamental concepts, theories, principles and methods of investigation specific to the economic field.

2

To be able to apply adequate mathematical, econometric, statistical and data analysis models to process economic data and to implement scientific research for development of economic policies.

3

To be able to participate in academic, professional, regional, and global networks and to utilize these networks efficiently.

4

To be able to have adequate social responsibility with regards to the needs of the society and to organize the activities to influence social dynamics in line with social goals.

X
5

To be able to integrate the knowledge and training acquired during the university education with personal education and produce a synthesis of knowledge one requires.

6

To be able to evaluate his/her advance level educational needs and do necessary planning to fulfill those needs through the acquired capability to think analytically and critically.

7

To be able to acquire necessary skills to integrate social dynamics into economic process both as an input and an output.

8

To be able to link accumulated knowledge acquired during the university education with historical and cultural qualities of the society and be able to convey it to different strata of society.

9

To be able to take the responsibility as an individual and as a team member.

10

To be able to attain social, scientific and ethical values at the data collection, interpretation and dissemination stages of economic analysis.

11

To be able to collect data in economics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1)

12

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

13

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

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

 


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