General Physics II (PHYS102) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
General Physics II PHYS102 4. Semester 3 2 0 4 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Service Courses Taken From Other Departments
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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively.
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

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