ECTS - General Physics II
General Physics II (PHYS102) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| General Physics II | PHYS102 | 2. Semester | 3 | 2 | 0 | 4 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Compulsory Departmental Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | . |
| Course Lecturer(s) |
|
| Course Objectives | The goal of this course is, by giving the calculus-based concepts of electricity and magnetism, to establish the relationships between mathematics and fundamentals of electricity and magnetism and apply this knowledge to define and solve engineering problems. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Electric charge, electric fields, Gauss` law, electric potential, capacitance, current and resistance, circuits, magnetic fields, magnetic fields due to currents, induction and inductance. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Electric Charge and Electric Fields | Douglas C. Giancoli, S.647-660 |
| 2 | Electric Charge and Electric Fields | Douglas C. Giancoli, S.660-672 |
| 3 | Gauss’ Law | Douglas C. Giancoli, S.683-692 |
| 4 | Electric Potential | Douglas C. Giancoli, S.718 |
| 5 | Capacitance, Dielectrics, Electric Energy Storage | Douglas C. Giancoli, S.727-739 |
| 6 | Capacitance, Dielectrics, Electric Energy Storage | Douglas C. Giancoli, S.739-753 |
| 7 | Electric Currents and Resistance | Douglas C. Giancoli, S.755-768 |
| 8 | DC Circuits | Douglas C. Giancoli, S.785-800 |
| 9 | DC Circuits (cont.) | Douglas C. Giancoli, S.801-815 |
| 10 | Magnetism | Douglas C. Giancoli, S.817-833 |
| 11 | Sources of Magnetic Field | Douglas C. Giancoli, S.845-857 |
| 12 | Electromagnetic Induction and Faraday’s Law | Douglas C. Giancoli, S.886 |
| 13 | Electromagnetic Induction and Faraday’s Law | Douglas C. Giancoli, S.886-895 |
| 14 | Inductance | Douglas C. Giancoli, S.907-916 |
| 15 | Final Examination Period | |
| 16 | Final Examination Period |
Sources
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 1 | 20 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 5 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 9 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | X |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | X | ||||
| 2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | X | ||||
| 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. | |||||
| 4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. | |||||
| 5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. | |||||
| 6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually | |||||
| 7 | Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
| 8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
| 9 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | |||||
| 10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; | |||||
| 11 | Knowledge of the standards utilized in software engineering applications | |||||
| 12 | Knowledge on business practices such as project management, risk management and change management; | |||||
| 13 | Awareness about entrepreneurship, innovation | |||||
| 14 | Knowledge on sustainable development | |||||
| 15 | Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; | |||||
| 16 | Awareness of the legal consequences of engineering solutions | |||||
| 17 | An ability to describe, analyze and design digital computing and representation systems. | X | ||||
| 18 | An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 14 | 2 | 28 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 153 | ||