General Physics II (PHYS102) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
General Physics II PHYS102 3 2 0 4 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
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;
  • To understand and apply solving problems of electricity and magnetism that lead to understanding the fundamentals of related fields in engineering sciences
  • To understand the conceptual topics of general physics and apply to engineering problems
  • To apply and integrate the basic science and the principles of engineering science
  • To understand how to elaborate topics of physical science, such as electricity, and apply to engineering problems
  • To provide a basic science oriented introduction for the engineering students to give them the opportunity to establish conceptual relations between the electricity and magnetism and a wide range of topics of engineering sciences.
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 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.
8 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
9 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of the standards utilized in computer engineering applications.
10 Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development.
11 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; awareness of the legal consequences of engineering solutions.
12 An ability to describe, analyze and design digital computing and representation systems. X
13 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