COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Summer Training (4 weeks)
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ST 304
Spring
0
0
0
4
Prerequisites
None
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 purpose of internship is to enhance academic studies of students with field experience. It is an opportunity for students to clarify their career interests.
Learning Outcomes The students who succeeded in this course;
  • To assess practical implications of theoretical knowledge acquired at the university
  • To reach area-specific information sources by using various databases
  • To present obtained information in a formal report
  • To produce alternatives individually or collectively in order to solve problems
  • To define the inter-departmental relationship at the organization/institution of internship
  • To efficiently use English during internship
  • To acquire new knowledge/ability during internship period that is not given at the university
Course Description Internship, covers field experience at any work place for 3 weeks. Students should follow the instructions stated in IUE Internship Guide in order to successfully complete their internships.
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 Review of the Semester  
2 Review of the Semester  
3 Review of the Semester  
4 Review of the Semester  
5 Review of the Semester  
6 Review of the Semester  
7 Review of the Semester  
8 Review of the Semester  
9 Review of the Semester  
10 Review of the Semester  
11 Review of the Semester  
12 Review of the Semester  
13 Review of the Semester  
14 Review of the Semester  
15 Review of the Semester  
16 Review of the Semester  
Course Notes/Textbooks
Suggested Readings/Materials

 

EVALUATION SYSTEM

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

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

ECTS / WORKLOAD TABLE

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

 

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.

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