Mr. Olekua Jimmy
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Mr Omaal John Drabile |

The course teaches software construction including object-oriented programming and software unit testing. Discusses and illustrates the concepts such as modularization, specification, information hiding, concurrency, abstraction, generics, design patterns, and parameterized unit testing. The purpose of this course is to give the students a solid understanding of modern software construction, and to prepare students to construct high quality programs.

Angukoru Christine
Welcome Students!
This brief introduction provides you with important information about this course. The learning outcomes are designed to equip you with practical approaches for your research project, encourage the formation of a critical analysis, creative thinking and foster individual judgement in the application of research methods. You will also develop skills required in writing research proposals/ reports.
Your full participation in each assignment is mandatory and will contribute towards your final mark. This ensures you lead your own learning process of your research. Please do not hesitate to contact me through the communication channels of the course at any point should you need assistance.- Lecturer: Jeremy WAISWA
- Teacher: Jeremy WAISWA
- Lecturer: Cypliano ARINEITWE
https://youtu.be/y9QNETfADUM?si=c_VirRehvtvt085j
- Teacher: Akilewo KAKOOZA
- Teacher: Stephen KAVUMA LUGUDDE

Course Summary:
Statistical Mechanics is a fundamental course that provides students with a comprehensive understanding of the behavior of systems containing a large number of particles. Through lectures, readings, problem-solving exercises, and laboratory sessions, students will explore the theoretical foundations and practical applications of statistical mechanics principles.
The course begins with an introduction to basic concepts such as probability theory, thermodynamic probability, and the principles of classical and quantum statistical mechanics. Students will then delve into statistical thermodynamics, analyzing equilibrium systems and interactions between systems. Classical distribution functions and thermodynamic potentials will be introduced, along with their applications in quantifying thermodynamic properties.
In the latter part of the course, students will explore quantum statistics, examining the behavior of quantum systems and deriving Maxwell-Boltzmann, Fermi-Dirac, and Bose-Einstein statistics. Through a combination of theoretical discussions and hands-on applications, students will develop analytical, problem-solving, and critical thinking skills essential for success in scientific and technical fields.
By the end of the course, students will have gained a solid foundation in statistical mechanics and its applications across various disciplines. They will be equipped with the knowledge and skills necessary to analyze complex systems, solve practical problems, and contribute to advancements in research and industry.
Mr. Ogen M Cosmas
Mr. Asiku John
Mr. Andabati Dan Robert