Computational Physics of Games 390-FG1-3OFG

Description:

Study Profile: General academic.

Study Form: Full-time (stationary) studies.

Module: Practical and specialized education, mandatory subject.

Field and Discipline of Science: Exact and Natural Sciences, Physical Sciences, Computer Science.

Year of Study, Semester: 3rd year, 1st semester, first-cycle studies (bachelor's degree).

Prerequisites: Successfully completed courses in structural programming, object-oriented programming, dynamics of complex systems, and numerical methods and algorithms.

Teaching Methods: Lectures, code program presentations, independent coding, homework assignments, discussions, consultations, self-study.

ECTS Points: 5.

Student Workload Breakdown: Lectures (15 hours), laboratory work (45 hours), preparation for classes (50 hours), participation in subject consultations (3 hours), preparation for the final exam and exam attendance (10+3 hours).

Quantitative Indicators: Lectures (0.6 ECTS points), seminars (1.8 ECTS points), preparation for classes (2.0 ECTS points), participation in subject consultations (0.12 ECTS points), preparation for the final exam and exam attendance (0.52 ECTS points).

Lecture Topics:

Particle systems

Separation of project components using the "component" pattern

Physics and graphics engines using the "singleton" pattern

Real-time collision detection

Collision processing

Impulse response

Mass aggregation

Rigid bodies

Collision detection and collision processing for rigid bodies

Simulation of multiple rigid bodies

Collision detection and collision processing for multiple objects

Laboratory Topics:

The laboratory work practically complements the lecture topics.

Type of course

obligatory courses

Requirements

Dynamics of Complex Systems
Numerical Methods and Algorithms
Object-oriented Programming
(in Polish) Programowanie strukturalne

Prerequisites

Software Engineering
3D Graphics Programming

Prerequisites (description)

The subject of the classes is the programming of a physics engine. To achieve this, it will be necessary to combine previously acquired knowledge from areas such as programming, dynamics, numerical methods, and software engineering. The created physics engine will be integrated with the graphics engine.

Course coordinators

Tomasz Karpiuk

Learning outcomes

K_W08 - Has knowledge of basic concepts and the formalism of classical mechanics, the laws of mechanics, and theoretical models of selected mechanical systems, understands the fundamental nature of Newton's laws.

K_W20 - Possesses basic knowledge in theoretical mechanics, is familiar with the theoretical approach to selected mechanical problems, and understands the role of theoretical formulation of mechanics within the scope of the specialization program.

K_U18 - Can present the theoretical formulation of selected mechanics concepts and, using appropriate mathematical tools, conduct theoretical analysis of selected mechanical systems within the scope of the specialization program.

K_U23 - Can write complex computer programs in a chosen programming language, compile them, and run them.

K_U24 - Can use computer tools to solve mathematical and physical problems, including computer environments for data analysis, numerical and symbolic computations.

K_U25 - Can search for and use specialized computer software resources on the Internet while respecting intellectual property and usage rules.

K_K05 - Can independently search for information in literature and online resources, including in foreign languages.

Assessment criteria

The assessment of the course is based on the following criteria:
1. Understanding of physics programming concepts and mechanisms.

2. Ability to apply physics programming mechanisms to specific problems.

3. Ability to engage in discussions related to the subject.

4. Proficiency in using literature and internet resources.

5. Creativity in problem-solving approaches.

For the laboratory component, attendance is a fundamental requirement, and up to three absences are allowed. The final grade for the laboratory is determined based on the assessment of homework assignments and the completion of a final project.

The lecture component is assessed through a final examination.

Bibliography

1. "Mechanika teoretyczna", W. Rubinowicz, W. Królikowski
2. "Fizyka dla twórców gier", David M. Bourg

Additional positions:
1. "Game Physics", David H. Eberly
2. "Game Physics Engine Development", Ian Millington
3. "Game Programming Patterns", Robert Nystrom
4. "Game Development Patterns and Best Practices", John P. Doran, Matt Casanova
5. "Mastering SFML Game Development", Raimondas Pupius
6. "Real Time Collision Detection", Christer Ericson

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 390-FG1-3OFG in USOSweb