ANTALYA BİLİM UNIVERSITY
Course Information Package

PHYS 102 - Physics II

Basic Information

Course Code:
PHYS 102
Course Name:
Physics II
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
4.00
Instructor:
Dr. Öğr. Üyesi Murat SERHATLIOĞLU

Course Objectives

This course aims to explain the basic concepts/phenomenons of electromagnetism such as electric field, electric potential, magnetic fields and forces, and the working principles of basic electric circuits such as capacitance, resistance, power supply, direct current circuits.

Course Content

Properties of Electric Charges, Coulomb's Law, Electric Field, Electric Field Lines, Motion of Charged Particles in a Uniform Electric Field, Electric Flux and Gauss's Law, Applications of Gauss's Law, Potential Difference and Electric Potential, Electric Potential Created by Point Charges, Electric Potential Formed by Continuous Charge Distribution , Capacitance and Dielectrics, How Capacitances are Connected to the Circuit, Energy Stored in Charged Capacitance, Charge and Resistance, Electric Current, Resistance, Electrical Power, Direct Current Circuits, Series and Parallel Connection of Resistors, Kirchhoff's Law, RC Circuits, Magnetic Field and Force, Magnetic Torque Effect of Field, Hall Effect, Source of Magnetic Field, Biot-Savart Law, Magnetic Flux, Ampere's Law

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Physics for Scientists and Engineers, Serway Jewett

Learning Outcomes

Code Description
LO1 Knowing the basic principles of electromagnetism
LO2 Ability to analyze electrical circuits
LO3 Ability to design electrical circuits
LO4 To be able to design magnetic systems
LO5 Ability to design devices required in modern engineering and technology

Weekly Course Content

Week Content
1 Electric Fields - 1
2 Electric Fields - 2
3 Gauss's Law - 1
4 Gauss's Law - 2
5 Electric Potential - 1
6 Electric Potential - 2
7 Electric Potential - 3
8 Capacitance and Dielectrics - 1
9 Capacitance and Dielectrics - 2
10 Current and Resistance
11 Direct-Current Circuits
12 Magnetic Fields - 1
13 Magnetic Fields - 2
14 Sources of the Magnetic Field

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 14 3.00 42.00
Post-Class Individual Study 14 2.00 28.00
Midterm Exam/Preparation 1 5.00 5.00
Final Exam/Preparation 1 10.00 10.00
Homework 14 2.00 28.00
Total Workload (Hours) 113
ECTS Credit (Workload / 25) 4

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %40
2 Final Exam %60
TOTAL %100

PO - LO Matrix

Learning Outcomes (LO):
  • LO1
  • LO2
  • LO3
  • LO4
  • LO5

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Problem Solving * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
4 Laboratory Listening, note-taking, conceptual analysis, critical thinking, questioning, and participation in discussions. Special equipment
5 Homework Solving and analyzing homework questions using a computer and Excel. Computer

Academic Integrity and Artificial Intelligence

Students are expected to act in accordance with the principles of academic integrity in all coursework, assignments, reports, projects, presentations, exams, and other assessment activities. The use of ideas, expressions, data, visuals, solutions, code, or similar content belonging to others without proper citation is considered a violation of academic integrity. Artificial intelligence tools may be used only as auxiliary tools to support learning, such as reviewing topics, explaining concepts, developing ideas, checking writing and language, creating a study plan, or receiving feedback on a draft. However, content generated by artificial intelligence may not be submitted directly as the student’s own work. The student is personally responsible for the content, accuracy, and originality of the work they submit. If artificial intelligence has been used, the purpose and scope of its use must be clearly stated. Unless otherwise specified by the instructor, the use of artificial intelligence tools is prohibited in exams, quizzes, and assessments that must be completed individually. If a violation of academic integrity or unauthorized use of artificial intelligence is detected, the relevant higher education institution’s regulations, disciplinary provisions, and course assessment rules shall apply.

Sustainable Development Goals

SDG 4
SDG 7
SDG 9
SDG 12