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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SUMMER INTERNSHIP II-Spring 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
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
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 II-Spring 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
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
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 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43