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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
03830103 Internship 2 Autumn 3 0+2+0 7 7
Course Type Compulsory
Course Cycle Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language Turkish
Methods and Techniques Uygulama-Alıştırma, Dış Mekanda Takım/Grup Çalışması, İç Mekanda Takım/Grup Çalışması, Gözlem, Anlatım
Mode of Delivery Face to Face
Prerequisites yok
Coordinator -
Instructor(s) Lect. Uğur POLAT
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Lect. Uğur POLAT C-129 [email protected] 7860 Thursday
14:00-16:00
Course Content
internship
Objectives of the Course
To ensure that students gain knowledge and skills by seeing the practical applications of the theoretical and practical subjects they have learned during the semester.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P4 Effectively uses information technologies (software, programs, animations, etc.) related to her/his profession. 5
P1 He/she has basic, current and applied information about his/her profession. 5
P3 He/She follows current developments and practices in his profession and uses them effectively. 4
P5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions. 4
P6 Can present his/her thoughts effectively through written and verbal communication at the level of knowledge and skills and expresses them in an understandable manner. 4
P7 Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Ability to use machine learning methods P.4.3 7
O2 Ability to use artificial intelligence methods P.4.4 7
O3 Have knowledge about current programming languages. P.4.5 7
O4 Knows the basic elements of a computer. P.1.1 7
O5 Knows how to use the internet and do research. P.1.2 7
O6 Has knowledge about Computer and Security. P.1.4 7
O7 Must know and use current software development platforms. P.3.2 7
O8 Have knowledge of project management P.7.1 7
O9 Having the ability to work at different stages of the project such as development, testing and maintenance P.7.3 7
O10 Tests software and fixes bugs. P.14.1 7
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Getting to know the workplace and getting information about the work done
2 Learning the planning and workflow of workplace applications
3 Examine business practices
4 Examine and participate in business practices
5 Examine and participate in business practices
6 Examine and participate in business practices
7 Examine and participate in business practices
8 Examine and participate in business practices
9 Examine and participate in business practices
10 Examine and participate in business practices
11 Examine and participate in business practices
12 Examine and participate in business practices
13 Examine business practices, participate in practices and report on work done
14 Examine business practices, participate in practices and report on work done
Textbook or Material
Resources internship applications
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Field Study - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Seminar - -
Quiz - -
Listening - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 0 0 0
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 0 0 0
Midterms 0 0 0
Quiz 0 0 0
Homework 0 0 0
Practice 1 128 128
Laboratory 0 0 0
Project 1 20 20
Workshop 0 0 0
Presentation/Seminar Preparation 1 2 2
Fieldwork 0 0 0
Final Exam 0 0 0
Other 0 0 0
Total Work Load: 150
Total Work Load / 30 5
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P3 P4 P7 P14
O1 Knows the basic elements of a computer. 4 - 4 - -
O2 Knows how to use the internet and do research. 5 - - - -
O3 Has knowledge about Computer and Security. - - - - -
O4 Must know and use current software development platforms. - 4 - - -
O5 Ability to use machine learning methods - 5 5 - -
O6 Ability to use artificial intelligence methods - - 5 - -
O7 Have knowledge about current programming languages. - - 5 - 5
O8 Have knowledge of project management - - - 4 -
O9 Having the ability to work at different stages of the project such as development, testing and maintenance 4 - - 4 4
O10 Tests software and fixes bugs. 4 - 5 - 5