Automotive Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | PSI440 | ||||||||
Course Name: | Selected Topics in Clinical Psychology | ||||||||
Course Semester: |
Spring |
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Course Credits: |
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Language of instruction: | |||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | Yes | ||||||||
Type of course: | University Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. ARİF HALDUN SOYGÜR | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | The aim of this course is to explain the historical development of clinical psychology, to introduce the basic theories in this field, to discuss these theories and their basic assumptions, the ways of explaining abnormal behavior and personality, the diagnosis and clinical intervention methods. |
Course Content: | In this course, the basic features of evaluation in clinical psychology, observation and interview in clinical psychology, measurement in clinical psychology, basic features of clinical interventions and the relationship between clinical interventions and psychotherapies will be discussed. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction, explanation of the course, introducing the topics to be covered. Comprehension what is clinical psychology and its history | Powerpoint presentations and related articles |
2) | Professional issues and ethics in clinical psychology | Powerpoint presentations and related articles |
3) | Key features of assessment in clinical psychology | Powerpoint presentations and related articles |
4) | Key features of assessment in clinical psychology | Powerpoint presentations and related articles |
5) | Observation in clinical psychology | Powerpoint presentations and related articles |
6) | Interview in Clinical Psychology | Powerpoint presentations and related articles |
7) | Interview in Clinical Psychology | Powerpoint presentations and related articles |
8) | MIDTERM | None |
9) | MIDTERM | None |
10) | Measurement in Clinical Interventions | Powerpoint presentations and related articles |
11) | Key features of Clinical Interventions | Powerpoint presentations and related articles |
12) | Key features of Clinical Interventions | Powerpoint presentations and related articles |
13) | Clinical Interventions and Psychotherapies | Powerpoint presentations and related articles |
14) | Clinical Interventions and Psychotherapies | Powerpoint presentations and related articles |
15) | Review of topics-preparation for the final | Powerpoint presentations and related articles |
16) | Review of topics-preparation for the final | Powerpoint presentations and related articles |
Course Notes / Textbooks: | Powerpoint sunumları ve ilgili makaleler |
References: | Plante, T. G. (2005). Contemporary Clinical Psychology (3rd ed.). Wiley. Weiner, I. B. (2003). Handbook of Psychology, Clinical Psychology. Wiley & Sons. |
Learning Outcomes | 1 |
2 |
3 |
4 |
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Program Outcomes | |||||||||||
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | |||||||||||
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | |||||||||||
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | |||||||||||
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | |||||||||||
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics. | |||||||||||
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | |||||||||||
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | |||||||||||
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications. | |||||||||||
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development. | |||||||||||
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions. | |||||||||||
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | |
2) | The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | |
3) | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | |
4) | Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | |
5) | Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics. | |
6) | The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | |
7) | Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | |
9) | Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications. | |
10) | Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development. | |
11) | Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions. | |
12) | Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing. |
Expression | |
Individual study and homework | |
Lesson | |
Group study and homework | |
Reading | |
Q&A / Discussion |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Group project | |
Presentation | |
Reporting |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 30 |
Final | 1 | % 30 |
Final Practice | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 70 | |
PERCENTAGE OF FINAL WORK | % 30 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 3 | 30 | 90 |
Presentations / Seminar | 1 | 20 | 20 |
Midterms | 1 | 24 | 24 |
Paper Submission | 1 | 20 | 20 |
Final | 1 | 48 | 48 |
Total Workload | 202 |