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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SUMMER INTERNSHIP I-Fall Semester0+0-5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypePractice
Course CoordinatorAssoc.Prof. Özge ŞENSOY
Name of Lecturer(s)Assoc.Prof. Özge ŞENSOY
Assistant(s)
Aim The aim of the course is to follow up the internship period of the students of School of Engineering and Natural Sciences.
Course ContentThis course contains; Meeting for Internship Evaluation Period,Collection of Internship Application Forms,Internship Period,Collection of internship reports and their evaluation.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Solutions are provided to the similar problems by experince gained.10, 12, 13, 14, 19
Combining theoretical and applied knowledge gathered from the courses.10, 12, 17, 2, 20, 3, 4
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 17: Experimental Technique, 19: Brainstorming Technique, 2: Project Based Learning Model, 20: Reverse Brainstorming Technique, 3: Problem Baded Learning Model, 4: Inquiry-Based Learning
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Meeting for Internship Evaluation Period
2Collection of Internship Application Forms
3Internship Period
4Collection of internship reports and their evaluation
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours000
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report313
Term Project208160
Presentation of Project / Seminar000
Quiz000
Midterm Exam000
General Exam000
Performance Task, Maintenance Plan000
Total Workload(Hour)163
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(163/30)5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SUMMER INTERNSHIP I-Fall Semester0+0-5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypePractice
Course CoordinatorAssoc.Prof. Özge ŞENSOY
Name of Lecturer(s)Assoc.Prof. Özge ŞENSOY
Assistant(s)
Aim The aim of the course is to follow up the internship period of the students of School of Engineering and Natural Sciences.
Course ContentThis course contains; Meeting for Internship Evaluation Period,Collection of Internship Application Forms,Internship Period,Collection of internship reports and their evaluation.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Solutions are provided to the similar problems by experince gained.10, 12, 13, 14, 19
Combining theoretical and applied knowledge gathered from the courses.10, 12, 17, 2, 20, 3, 4
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 17: Experimental Technique, 19: Brainstorming Technique, 2: Project Based Learning Model, 20: Reverse Brainstorming Technique, 3: Problem Baded Learning Model, 4: Inquiry-Based Learning
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Meeting for Internship Evaluation Period
2Collection of Internship Application Forms
3Internship Period
4Collection of internship reports and their evaluation
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:37Son Güncelleme Tarihi: 09/10/2023 - 10:37