ANTALYA BİLİM UNIVERSITY
Course Information Package

CE 2003 - Dynamics

Basic Information

Course Code:
CE 2003
Course Name:
Dynamics
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
5.00
Instructor:
Dr. Öğr. Üyesi Fuad ABUTAHA

Course Objectives

This course aims to develop a fundamental understanding of engineering dynamics, focusing on the motion of particles and rigid bodies. It covers kinematics to describe motion and kinetics to relate motion to forces using Newton’s laws, along with work–energy and impulse–momentum methods. The course also introduces planar rigid body motion and emphasizes the ability to model engineering problems, apply appropriate analysis methods, and interpret results.

Course Content

This course covers the fundamental principles of engineering dynamics, including the kinematics and kinetics of particles and rigid bodies. Topics include rectilinear and curvilinear motion of particles, relative and dependent motion analysis, and the application of Newton’s laws in various coordinate systems. The course also introduces work–energy principles, conservation of energy, impulse–momentum methods, and impact analysis. In addition, planar kinematics and kinetics of rigid bodies are studied, including translation, rotation, and general plane motion. Emphasis is placed on problem solving, and the application of appropriate analytical methods.

Prerequisites / Corequisites

NA

Course Books / Materials / Recommended Resources

Engineering Mechanics: Dynamics  R. C. Hibbeler 14th ed.

Learning Outcomes

Code Description
LO1 1. Apply kinematics principles to analyse the rectilinear and curvilinear motion of particles and the planar motion of rigid bodies.
LO2 2. Apply Newton’s laws of motion to solve force–acceleration-based kinetics problems for particles and rigid bodies, including planar rigid body motion.
LO3 3. Apply work–energy principles to evaluate the motion of particles and rigid bodies.
LO4 4. Apply impulse–momentum methods to analyse motion and impact problems for particles and rigid bodies.
LO5 5. Model and solve engineering dynamics problems, select appropriate analytical methods, and interpret results.

Weekly Course Content

Week Content
1 Introduction to dynamics; basic concepts; rectilinear kinematics of particles (position, velocity, acceleration)
2 Rectilinear motion analysis; motion with constant and variable acceleration
3 Curvilinear motion of particles; rectangular and normal–tangential coordinates
4 Projectile motion; relative and dependent motion analysis
5 Kinetics of particles; Newton’s second law; equations of motion.
6 Equations of motion in different coordinate systems; problem solving.
7 Work and energy principles; kinetic and potential energy.
8 Midterm Exam
9 Conservation of energy; power and efficiency; applications.
10 Impulse and momentum principles; linear and angular momentum; impact.
11 Planar kinematics of rigid bodies; translation and rotation
12 Relative motion of rigid bodies; instantaneous centre of zero velocity.
13 Planar kinetics of rigid bodies; force–acceleration method.
14 Work–energy methods for rigid bodies; general review and applications.
15 Final Exam

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 1 50.00 50.00
Midterm Exam/Preparation 1 31.00 31.00
Final Exam/Preparation 1 54.00 54.00
Homework 3 5.00 15.00
Total Workload (Hours) 150
ECTS Credit (Workload / 25) 5

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %30
2 Homework %30
3 Final Exam %40
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
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 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Problem Solving * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
3 Homework Solving and analyzing homework questions using a computer and Excel. Computer

Academic Integrity and Artificial Intelligence

NA

Sustainable Development Goals

SDG 4
SDG 11