学部・大学院区分
Undergraduate / Graduate | | 農学部 | | 時間割コード
Registration Code | | 0910816 | | 科目区分
Course Category | | 専門基礎科目
Basic Specialized Courses | | 科目名 【日本語】
Course Title | | [G30]電磁気学 | | 科目名 【英語】
Course Title | | [G30}Electricity and Magnetism | | コースナンバリングコード
Course Numbering Code | | | | 担当教員 【日本語】
Instructor | | WOJDYLO John Andrew ○ | | 担当教員 【英語】
Instructor | | WOJDYLO John Andrew ○ | | 単位数
Credits | | 2 | | 開講期・開講時間帯
Term / Day / Period | | 春 火曜日 ２時限
Spring Tue 2 | | 対象学年
Year | | ２年
2 | | 授業形態
Course style | | 講義
Lecture | |
授業の目的 【日本語】
Goals of the Course(JPN) | | | | 授業の目的 【英語】
Goals of the Course | | Goals of the Course
This course is a solid introduction to electrostatics and magnetostatics in both vacuum and materials. Maxwell’s Equations are derived. It covers the first half of the textbook by Griffiths, and beyond.
NOTE TO INTERNATIONAL EXCHANGE STUDENTS: this course assumes knowledge of vector calculus. We do not have time to reteach the basics that Nagoya University students have already learned. You must have a good grasp of vector calculus to take this course. You must be willing to work hard -- this course is not a holiday in Japan.
By the end of the course, students will have had the opportunity to gain an intuitive as well as quantitative understanding of the basic physical principles of electromagnetism in vacuum and in materials, as well as mastery of some of the fundamental mathematical methods required to solve problems in physics, engineering, chemistry and other STEM areas.
Unless a prior special arrangement is made with the lecturer, students must be familiar with vector calculus (div, grad, curl; line, surface, volume integrals; etc.) to take this course. Vector calculus is taught in Mathematical Physics II.
It is strongly recommended that students taking Electricity and Magnetism also enroll in Physics Tutorial 2a, because mastering the assignments in both courses is essential for performing well in the EM lecture course exams. You should view assignment work in both the EM lecture course and Physics Tutorial 2a tutorial course as preparation for the exams in the EM lecture course.
Assignment exercises are an essential part of both the lecture course and the associated tutorial course (Physics Tutorial 2a). Students are thereby given the opportunity to master a wide variety of technical variations encountered in solving concrete examples of the basic theory, as well as a variety of simple extensions of the basic theory, and simple analytical techniques related to the lecture content but not mentioned in lectures, that extend the scope of problems that students can solve. Mastery of these aspects makes students more attractive to employers.
Reliance on generative AI is harmful to learning. In view of the importance of mastering the assignment exercises, measures will be put in place to ensure that students who rely on generative AI and group discussions to attain high assignment scores without mastering the content will not achieve an inflated final grade: inflated grades are unfair to students who take learning seriously and achieve scholarly independence by genuine hard work. After completing this course, if they do use AI to help with study, students should aim to be capable of critiquing the output from generative AI and evaluating its correctness -- in other words, they must be capable of solving the exercises as well as creative variations of the exercises and lecture content with no help. No employer wants employees who are unable to do this.
Face-to-face lectures, tutorials and exams are opportunities to demonstrate your scholarly independence. Even students who find mathematics and physics difficult can attain at least a "B" grade by engaging in good study habits and learning the lecture content well, and by being honest with themselves and others.
All lecture course exams (Midsemester, End of Semester) are in-class. Students who rely on generative AI and do not master the content will reveal themselves when they are unable to make any meaningful progress with exam questions that are simple repetitions of assignment questions with minor changes or simple creative variations. Even students who have difficulty with mathematics can master such questions if they have good study habits and perseverence. Excessive reliance on generative AI and group discussions wastes time, harms your learning and affects your grades. |
| | 到達目標 【日本語】
Objectives of the Course(JPN) | | | | 到達目標【英語】
Objectives of the Course | | Objectives of the Course
The overriding objective of this course is to foster the student's scholarly independence. In order to succeed in this course, students must understand the content sufficiently to have the ability to potentially critique and evaluate the correctness of the output from group work, and generative AI if they use it, relevant to the lecture and assignment content. This is a transferable, real-world skill and, more importantly, mindset: the habit of checking before believing, while possessing the knowledge and technical ability to make the judgement.
Students will have the ability to solve problems such as creative variations of assignment exercises and lecture content with no help, and thereby demonstrate that they are capable of learning STEM knowledge and techniques, and are therefore potentially useful to future employers or university research groups.
This course has dual practical aims: 1) to convey mathematical principles relevant to solving applied problems in physics, engineering, chemistry and other STEM areas; 2) to improve students’ technical ability – i.e. ability to express intuition in mathematical terms and ability to solve problems. |
| | 授業の内容や構成
Course Content / Plan | | Participants are expected to prepare solutions to problems relating to the lecture course content, which are handed out by the EM lecturer, and present their solutions by projecting them on a screen using MS Teams during the tutorial course (Physics Tutorial IIa). Be aware that mastering the written assessment is essential for performing well in the exams. You should view assignment work as preparation for the exams.
Course outline.
1. Revision of vector calculus, curvilinear coordinates, Dirac Delta Function.
2. Electrostatics. Coulomb's Law. Continuous Charge Distributions. Divergence and Curl of Electrostatic Fields. Field Lines, Flux, and Gauss's Law. Electric Potential. Poisson's Equation and Laplace's Equation. The Potential of a Localized Charge Distribution. Physical meaning of the Dirac delta function in the context of Poisson's Equation.
3. Work and Energy in Electrostatics. Conductors. Induced Charges. Surface Charge and the Force on a Conductor. The Method of Images: point charge near a conducting plane or sphere, grounded or insulated. Separation of Variables.
4. Electric Fields in Matter. Polarization. Dielectrics. The Electric Displacement. Linear Dielectrics.
5. Magnetostatics. The Lorentz Force Law. The Biot-Savart Law. The Divergence and Curl of B. Applications of Ampere's Law. Magnetic Vector Potential A. Gauge transformations.
6. Magnetic Fields in Matter. Magnetization. Diamagnetism, Paramagnetism, Ferromagnetism. The Auxiliary Field H. Magnetic Susceptibility and Permeability.
7. Introduction to Electrodynamics. Electromotive Force. Electromagnetic Induction. Faraday's Law. Energy in Magnetic Fields. Maxwell's Equations. Magnetic levitation. |
| | 履修条件・関連する科目
Course Prerequisites and Related Courses | | Calculus Iⅈ Mathematical Physics I&II or Consent of Lecturer.
Students MUST have previously performed strongly in a vector calculus course. |
| | 成績評価の方法と基準
Course Evaluation Method and Criteria | | Course Evaluation Method and Criteria, Warning About the Use of Generative AI
PhysSci and all other students for whom the tutorial course Physics Tutorial IIa counts towards their graduation requirement:
Attendance and class participation: 5%; Weekly Quizzes and/or Assignments: 20%; Midsemester exam: 37.5%; End of Semester Exam: 37.5%.
Some exam questions in the lecture course are simple repetitions of either tutorial or lecture assignment questions with minor changes or simple creative variations. If the student is unable to make meaningful progress with such exam questions during the exam, while in the assignment they presented quite a good solution, then the entire assignment corresponding to that question will be deemed to have a mark of 20%.
Be aware that mastering the written assessment is essential for performing well in the lecture course exams. You should view assignment work in both the lecture course and tutorial course as preparation for the lecture course exams.
For students for whom the tutorial course does not count towards the graduation requirement, the reported grade is calculated as follows:
Lecture Course mark: 2/3; Tutorial Course Mark: 1/3.
The tutorial course mark is calculated as follows:
Face-to-face Tutorial Attendance: 10%; Solution Presentation and In-class Performance: 35%; Assignments: 55%.
Three assignments out of the 7 handed out in the lecture course shall count towards the tutorial course mark.
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Conditions for Course Withdrawal
A formal withdrawal form must be signed by the lecturer and submitted to the Student Office by the official withdrawal deadline in May.
A withdrawal request made after the official withdrawal deadline in May will be rejected unless the circumstances are very exceptional.
Students who wish to take this course -- even though it is not compulsory for them -- in order to learn the exciting ideas are welcome.
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Criteria for "Fail (F)" & "Absent (W)" grades
The "Absent (W)" grade is reserved for students who withdraw by the official deadline in May. After that day, a letter grade will be awarded based on marks earned from all assessment during the semester.
If Electricity and Magnetism I is NOT A COMPULSORY SUBJECT and the student plans never to take Electricity and Magnetism I in the future, then a late withdrawal request will be considered.
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Notice to Students Regarding Use of AI, Academic Honesty and Plagiarism
1. WARNING ABOUT THE USE OF AI
Despite any rules and better ethical judgment, many of you will rely on AI (ChatGPT, Gemini, Sonnet, Claude etc.) to solve your assignment problems. Be aware that besides constituting academic misconduct and dishonesty, such use of AI is detrimental to your learning: among other things, you will lack the experience of getting stuck and digging your way out of a problem using your own knowledge, tenacity, ingenuity and creativity. You will not learn resilience in the field of study. The examinations are designed to test the quality of your learning, your ability to bring together multiple threads dealt with in lectures and assignments, your ability to interpret the equations and unify your understanding, to seek connections and dig your way out of a seeming dead end when solving a problem. You will not learn this by relying on AI. You will do very well in assignments but very poorly in the exams.
2. PLAGIARISM and other forms of cheating.
Plagiarism (e.g. copying solutions that you have found on the Internet) is an act of academic dishonesty. Cheating in exams (e.g. having lecture notes, assignment solutions or online references open on your computer screen during an online exam) is a serious offence. Copying other people's solutions and claiming them as your own is also an act of academic dishonesty. Nagoya University has a strict policy towards academic dishonesty:
"Acts of academic dishonesty are prohibited during exams, for reports and assignments. If acts of academic dishonesty are discovered, you may be subject to discipline, which may affect your ability to graduate on time."
The punishment for serious breaches (such as cheating in an exam or repeated plagiarism despite a warning) is the loss of all grades from all subjects during the semester and cancellation of any scholarships received.
Even if your course is difficult and it is to be expected that you'll find it hard to finish assignments, it is far better that you submit an honest effort than take the dishonest path. Remember, to be on course for a "B" you only need to score over 70% in the assignments -- and if you paid attention in the tutorials, you would have seen nearly all the problems done for you (in my subjects, at least).
There's no excuse for cheating. |
| | 教科書・テキスト
Textbook | | Textbook
1. Griffiths, D.L., 2012, Introduction to Electrodynamics, 4th ed., Prentice Hall.
Alternative textbook (HIGHLY RECOMMENDED):
2. Purcell, E.M. and Morin, D. J., Electricity and Magnetism, 3rd Ed., Cambridge University Press
(Students must read Griffiths regularly.) |
| | 参考書
Reference Book | | Reference Books
1. Leighton, R.B. & Feynman, R.P., Feynman Lectures on Physics (Volume 2), Pearson.
(Highly recommended.)
2. Boas, Mary, Mathematical Methods in the Physical Sciences 3rd Ed., Wiley (2005). (Intuitive and well-explained introduction to much of the basic mathematics students need to master in undergraduate physics, including vector calculus.)
3. Jackson, J. D., Classical Electrodynamics, 3rd Edition, 1998. (Advanced reference.)
Even if at this stage you can’t understand much of the theory in the book by Jackson, you can occasionally “consult Professor Jackson” and understand a page or more, and also look at the fascinating graphs of solutions. You can learn a lot doing even this.
4. Schwinger, Julian, et al. Classical Electrodynamics (Frontiers in Physics) (Advanced reference.)
Advanced students might wish to be challenged by the world view of one of the 20th century's most brilliant minds in the field. |
| | 課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours) | | This course is part of your training to be a professional researcher. You are expected to revise the lecture notes, read and work through the textbook, and solve assignment problems outside lecture hours. You cannot learn physics by only attending lectures. The exams will consist of questions covering both lecture notes and assignments.
Students must be willing to work hard if they want to achieve a good, internationally competitive level.
Consultation with, or help from, the lecturer is available at anytime online using MS Teams. |
| | 使用言語
Language Used in the Course | | | | 授業開講形態等
Lecture format, etc. | | Face to face lectures and tutorials are compulsory (other than in exceptional circumstances; e.g. COVID infection). However, in order to record a video of the lecture -- including student interaction with each other and with the lecturer -- the lectures will simultaneously be carried out online using MS Teams. Students are therefore requested to bring their laptop or tablet to the lecture room. Make sure it has a microphone! Bring an electrical cord. For many G30 students, English is a 2nd or even 3rd language, so video recordings are an invaluable learning aid.
Live lectures via MS Teams (face-to-face and online). Before the start of semester students should ensure that they have correctly installed MS Teams using their THERS (国立大学法人東海国立大学機構 ) email account.
NUPACE students should contact Professor John Wojdylo before the start of semester for assistance with installing Teams correctly. |
| | 遠隔授業（オンデマンド型）で行う場合の追加措置
Additional measures for remote class (on-demand class) | | All lectures will be live face-to-face and online via MS Teams. Face-to-face attendance is compulsory (barring exceptional circumstances such as COVID infection).
A lecture video will be available immediately after each lecture to help with student revision.
The lecturer will be available to answer questions via Teams chat. |
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