ANTALYA BİLİM UNIVERSITY
Course Information Package

PHYL 1002 - Physics II Laboratory

Basic Information

Course Code:
PHYL 1002
Course Name:
Physics II Laboratory
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
2.00
Instructor:
Dr. Öğr. Üyesi Murat SERHATLIOĞLU

Course Objectives

This course aims to introduce hands-on demos and experiments on fundamental concepts in electromagnetism and basic electric circuits including electric field, electric potential, capacitance, resistance, direct and alternating current circuits, magnetic fields & forces, and electromagnetic waves.

Course Content

This course covers experiments on electromagnetism and basic electrical circuits, electric field, electric potential, capacitance, resistance, direct and alternating current circuits, magnetic fields and magnetic forces, electromagnetic induction, inductance, and electromagnetic waves

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Sears and Zemansky's University Physics with Modern Physics by Hugh D. Young and Roger A. Freedman, Thirteenth Edition.

Learning Outcomes

Code Description
LO1 Be familiar with the vocabulary and units of electromagnetism and electric circuits
LO2 Understand the concepts, the relationships among concepts, and the laws and principles used in mechanics
LO3 Apply the concepts and the relationships to qualitative and quantitative problems.
LO4 Analyze the behavior of physical systems using theory and experiments
LO5 Work cooperatively as part of a group on problem solving and as a partner in a laboratory group
LO6 Apply the basic principles involved in modern engineering and technology

Weekly Course Content

Week Content
2 Experiment 1: Electrostatics
3 Experiment 2: Electric potential and electric fields
4 Experiment 3: RC Circuits
5 Experiment 4: Magnetism
6 Experiment 5: Electromagnetic induction
7 Experiment 6: Transformers

Workload Calculation

Activity Count Duration (Hours) Total
Laboratory 6 2.00 12.00
Post-Class Individual Study 6 4.00 24.00
Post-Prectice Individual Study 6 2.00 12.00
Field Study 6 1.00 6.00
Total Workload (Hours) 54
ECTS Credit (Workload / 25) 2

Assessment

# Assessment Type Contribution (%)
1 Final Exam %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
LO6
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Group Work Students determine the slope and cross-sectional geometric characteristics of a parabolic irrigation canal on campus, plot the flow rate curve at different sections of the canal, and submit a report. Land surveying instruments
2 On-site learning, supervised clinical practice (hands-on training) Performing clinical procedures under supervision, patient management, and clinical decision-making Clinical environment, dental units, clinical instruments and materials
3 Laboratory Listening, note-taking, conceptual analysis, critical thinking, questioning, and participation in discussions. Special equipment
4 Homework Solving and analyzing homework questions using a computer and Excel. Computer
5 Oral Research – lifelong learning, processing situations, developing questions, interpreting, presenting
6 Demonstration Listening and comprehension, processing observations/situations Presentation content
7 Small Group Discussion Listening and comprehension, processing observations/situations, critical thinking, question development Standard classroom technologies, multimedia tools, projector, computer, overhead projector
8 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)

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